https://gustybear.github.io/author/yao-zheng/Yao ZhengHugo Blox Builder (https://hugoblox.com)en-usMon, 17 Aug 2026 10:10:00 -1000https://gustybear.github.io/author/yao-zheng/avatar_hu_4ddcfa1869bde4db.pnghttps://gustybear.github.io/author/yao-zheng/https://gustybear.github.io/grant/2026_doe_ascr_stratos/Mon, 17 Aug 2026 10:10:00 -1000https://gustybear.github.io/grant/2026_doe_ascr_stratos/<h1 id="executive-summary">Executive Summary</h1> <p>STRATOS develops a cloud-native, model-agnostic security middleware for protecting AI models used in time-critical scientific and energy-system operations. AI is increasingly embedded in workflows such as grid forecasting, contingency analysis, and operational decision making, creating new risks from adversarial perturbations, inference-time evasion, and backdoor attacks that may remain physically plausible while corrupting model outputs. STRATOS addresses this problem through a physics-grounded DevSecOps architecture that continuously evaluates inference streams, computes certified trust scores, and distinguishes malicious manipulation from legitimate operational variability without requiring modification of the protected model.</p> <p>The project combines physics-constrained adversarial emulation, imbalance-resilient certified detection, and a multi-tier runtime mitigation pipeline that includes targeted input purification, Control Barrier Function-based graceful degradation, and quarantine or rollback of compromised data and models. The Phase I system will be evaluated across the University of Hawaiʻi at Mānoa campus microgrid and Argonne National Laboratory&rsquo;s Controller-Hardware-in-the-Loop platform, targeting at least 90% certified detection, no more than 5% false positives, at least 95% interception of synthesized adversarial payloads, and end-to-end latency of 20 ms or less. The longer-term goal is to transition STRATOS toward a federated security architecture for trustworthy AI across DOE scientific computing and critical-infrastructure environments.</p>https://gustybear.github.io/grant/2026_nsf_ge_cyberai/Sat, 15 Aug 2026 15:29:00 -1000https://gustybear.github.io/grant/2026_nsf_ge_cyberai/<h1 id="executive-summary">Executive Summary</h1> <p>AI agents that autonomously browse the web, manage email, execute code, and query databases are being deployed across federal agencies at accelerating pace. These agents create a qualitatively new attack surface: a poisoned email can cause an agent to exfiltrate files; a malicious code comment can redirect an execution pipeline; a hidden webpage instruction can hijack a browsing session. Yet cybersecurity education has not kept pace. Existing AI security tools (Lakera Gandalf, OWASP LLM labs, CTF competitions) teach only chatbot-level prompt injection, a single-turn, text-only model that does not prepare students for agent-mediated threats involving tool access, autonomous action, and multi-step reasoning chains.</p> <p>This project develops <em>AgentSec</em>, a scenario-based educational platform that teaches undergraduate cybersecurity students to identify, exploit, and defend against threats unique to autonomous AI agents, organized into three thrusts. Thrust 1 creates the educational framework, where a trust boundary taxonomy organizes agent vulnerabilities into three progressive categories, i.e., data ingestion, tool-action, and reasoning chain boundaries. This gives students a transferable mental model. Based on the taxonomy, we design a three-module curriculum with six organization-contextualized scenarios, red-team/blue-team experiential learning cycles, and a configurable difficulty framework. Thrust 2 builds the educational technology, where we develop sandboxed environments to enable students&rsquo; interaction with real LLM-powered agents with controlled tool access, a layered assessment system with an AI tutoring agent, an instructor analytics dashboard, and a scenario authoring toolkit for community-contributed content. Thrust 3 evaluates impact through a quasi-experimental study, assessing platform quality, student learning, and workforce placement into government and industry CyberAI roles. All code will be open-source, self-hostable via Docker Compose with open-weight models, and released through CLARK for nationwide adoption.</p>https://gustybear.github.io/grant/2026_nvidia_omniport/Sat, 15 Aug 2026 15:29:00 -1000https://gustybear.github.io/grant/2026_nvidia_omniport/<h1 id="executive-summary">Executive Summary</h1> <p>OmniPort develops a real-time intelligent wireless and digital-twin platform for safer and more efficient autonomous operations in container ports. Ports are particularly challenging environments for robots because stacked metal containers obstruct GPS and line-of-sight sensors while producing strong wireless multipath. Instead of treating these reflections solely as interference, OmniPort uses integrated sensing and communication (ISAC) to extract information from routine robot uplink signals, enabling around-corner hazard detection and GPS-free robot localization. An AI-RAN then combines these sensing results with robot mobility and network telemetry to predict wireless conditions, dynamically allocate network resources, and maintain low-latency communication for safety-critical operations.</p> <p>The project integrates these capabilities into an uncertainty-aware semantic digital twin that represents container geometry, robot movement, hazards, and wireless connectivity in real time. Rather than continuously transmitting camera video, operators can supervise robot fleets through a privacy-preserving VR environment generated from this semantic information, with warnings for collision risks, connectivity degradation, and emerging hazards. The platform uses four on-premises NVIDIA RTX PRO 6000 GPUs to support concurrent ISAC processing, AI-RAN control, NVIDIA Isaac Sim/Cosmos-based digital-twin reasoning, and Omniverse VR visualization, targeting an end-to-end control latency below 50 ms. The resulting technologies, software, and datasets are intended to provide a foundation for intelligent robotic operations in Hawaiʻi’s ports and other complex industrial environments.</p>https://gustybear.github.io/teaching/course_ece260_2026_fall/Mon, 10 Aug 2026 02:58:53 +0000https://gustybear.github.io/teaching/course_ece260_2026_fall/<h1 id="executive-summary">Executive Summary</h1> <p>This course explores the foundation of digital circuit design, starting from Boolean algebra, through combinational and sequential logic, to finite state machines and basic central processing units (CPUs) under von Neumann architecture. The associated laboratory segment introduces modern digital design techniques, e.g., Verilog hardware description language (HDL) and field-programmable gate array (FPGA), to model, implement, and test the aforementioned digital circuits. Pre: 160 or 110 or ICS 111 or consent.</p> <h1 id="logistics">Logistics</h1> <ul> <li> <p><strong>CRN</strong></p> <table> <thead> <tr> <th>ECE260 001</th> <th>ECE260 002</th> <th>ECE260 003</th> </tr> </thead> <tbody> <tr> <td>78638</td> <td>78639</td> <td>78640</td> </tr> </tbody> </table> </li> <li> <p><strong>Personnel</strong></p> <table> <thead> <tr> <th>Role / Personnel</th> <th>Assigned Session</th> <th>Office Hours / Notes</th> </tr> </thead> <tbody> <tr> <td>Lecturer: </td> <td>N/A</td> <td>see </td> </tr> <tr> <td>TA: </td> <td>Session 1 (R 09:00am - 11:45am)</td> <td>TBD</td> </tr> <tr> <td>TA: </td> <td>Session 2 (R 13:30pm - 16:15pm)</td> <td>TBD</td> </tr> <tr> <td>TA: </td> <td>Session 3 (R 16:30pm - 19:15pm)</td> <td>TBD</td> </tr> </tbody> </table> </li> <li> <p><strong>Classroom</strong></p> <table> <thead> <tr> <th>Time</th> <th>Location</th> <th>Textbook/HW</th> <th>HW/Exam Effort</th> </tr> </thead> <tbody> <tr> <td>MWF 11:30 am-12:20pm</td> <td>Kuykendall Hall 101</td> <td> </td> <td>Individual</td> </tr> </tbody> </table> </li> <li> <p><strong>Laboratory</strong></p> <table> <thead> <tr> <th>Session</th> <th>Time</th> <th>Location</th> <th>Report Effort</th> </tr> </thead> <tbody> <tr> <td>01</td> <td>R 09:00am - 11:45am</td> <td>Holmes Hall 451</td> <td>Group</td> </tr> <tr> <td>02</td> <td>R 13:30pm - 16:15pm</td> <td>Holmes Hall 451</td> <td>Group</td> </tr> <tr> <td>03</td> <td>R 16:30pm - 19:15pm</td> <td>Holmes Hall 451</td> <td>Group</td> </tr> </tbody> </table> </li> </ul> <h1 id="grading">Grading</h1> <ul> <li> <p><strong>Breakdown</strong><sup id="fnref:1"><a href="#fn:1" class="footnote-ref" role="doc-noteref">1</a></sup></p> <table> <thead> <tr> <th>Participation</th> <th>Challenge</th> <th>Labs</th> <th>Midterms (2)</th> <th>Final</th> </tr> </thead> <tbody> <tr> <td>5%</td> <td>15%</td> <td>25%</td> <td>30%</td> <td>25%</td> </tr> </tbody> </table> </li> <li> <p><strong>Cutoffs</strong></p> <table> <thead> <tr> <th>A-</th> <th>B-</th> <th>C-</th> </tr> </thead> <tbody> <tr> <td>85%</td> <td>75%</td> <td>60%</td> </tr> </tbody> </table> </li> <li> <p><strong>Proscribed Conduct</strong>: Copying or otherwise cheating on homework, lab reports, or exam will result in a failing grade for the course. More details can be found at student conduct code policies, </p> </li> </ul> <h1 id="schedule">Schedule</h1> <h2 id="lecture">Lecture</h2> <table> <thead> <tr> <th>TIME</th> <th>TOPICS</th> <th>READING/HW/EXAM</th> <th>DEADLINE</th> </tr> </thead> <tbody> <tr> <td>Week 1 (8/24, 8/26, 8/28)</td> <td> </td> <td> </td> <td>8/30, 11:59PM</td> </tr> <tr> <td>Week 2 (8/31, 9/2, 9/4)</td> <td> </td> <td> </td> <td>9/6, 11:59PM</td> </tr> <tr> <td>Week 3 (9/7)</td> <td><strong>NO INSTRUCTION — Labor Day</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 3 (9/9, 9/11)</td> <td> </td> <td> </td> <td>9/13, 11:59PM</td> </tr> <tr> <td>Week 4 (9/14, 9/16, 9/18)</td> <td> </td> <td> </td> <td>9/20, 11:59PM</td> </tr> <tr> <td>Week 5 (9/21, 9/23, 9/25)</td> <td> </td> <td> </td> <td>9/27, 11:59PM</td> </tr> <tr> <td>Week 6 (9/28)</td> <td>Combinational Logic: Design Process</td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 6 (9/30)</td> <td><strong>Midterm I Review</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 6 (10/2)</td> <td><strong>Midterm I — In Person</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 7 (10/5, 10/7, 10/9)</td> <td> </td> <td> </td> <td>10/11, 11:59PM</td> </tr> <tr> <td>Week 8 (10/12, 10/14, 10/16)</td> <td> </td> <td> </td> <td>10/18, 11:59PM</td> </tr> <tr> <td>Week 9 (10/19, 10/21, 10/23)</td> <td> </td> <td> </td> <td>10/25, 11:59PM</td> </tr> <tr> <td>Week 10 (10/26)</td> <td>Sequential Logic: Arithmetic Logic Unit</td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 10 (10/28)</td> <td><strong>Midterm II Review</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 10 (10/30)</td> <td><strong>Midterm II — In Person</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 11 (11/2, 11/4, 11/6)</td> <td> </td> <td> </td> <td>11/8, 11:59PM</td> </tr> <tr> <td>Week 12 (11/9)</td> <td> </td> <td> </td> <td>11/15, 11:59PM</td> </tr> <tr> <td>Week 12 (11/11)</td> <td><strong>NO INSTRUCTION — Veterans Day</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 12 (11/13)</td> <td> </td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 13 (11/16, 11/18, 11/20)</td> <td> </td> <td> </td> <td>11/22, 11:59PM</td> </tr> <tr> <td>Week 14 (11/23, 11/25)</td> <td> </td> <td> </td> <td>11/29, 11:59PM</td> </tr> <tr> <td>Week 14 (11/27)</td> <td><strong>NO INSTRUCTION — Thanksgiving Period</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 15 (11/30, 12/2, 12/4)</td> <td> </td> <td> </td> <td>12/6, 11:59PM</td> </tr> <tr> <td>Week 16 (12/7, 12/9)</td> <td>Review, Practice Final</td> <td>Practice Final</td> <td>&ndash;</td> </tr> <tr> <td>Study Period (12/11–12/12)</td> <td><strong>Study Period</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Finals (12/18)</td> <td><strong>Friday 12:00 – 2:00 pm</strong></td> <td>&ndash;</td> <td>12/18, 2:00PM</td> </tr> </tbody> </table> <h2 id="laboratory">Laboratory</h2> <table> <thead> <tr> <th>TIME</th> <th>Materials</th> <th>Virtual</th> <th>DEADLINE</th> </tr> </thead> <tbody> <tr> <td>Week 1 (8/27)</td> <td> </td> <td> </td> <td>8/30, 11:59PM</td> </tr> <tr> <td>Week 2 (9/3)</td> <td> </td> <td> </td> <td>9/6, 11:59PM</td> </tr> <tr> <td>Week 3 (9/10)</td> <td> </td> <td> </td> <td>&ndash;</td> </tr> <tr> <td>Week 4 (9/17)</td> <td> </td> <td> </td> <td>9/20, 11:59PM</td> </tr> <tr> <td>Week 5 (9/24)</td> <td> </td> <td> </td> <td>&ndash;</td> </tr> <tr> <td>Week 6 (10/1)</td> <td> </td> <td> </td> <td>10/4, 11:59PM</td> </tr> <tr> <td>Week 7 (10/8)</td> <td> </td> <td> </td> <td>10/11, 11:59PM</td> </tr> <tr> <td>Week 8 (10/15)</td> <td> </td> <td> </td> <td>10/18, 11:59PM</td> </tr> <tr> <td>Week 9 (10/22)</td> <td> </td> <td> </td> <td>&ndash;</td> </tr> <tr> <td>Week 10 (10/29)</td> <td> </td> <td> </td> <td>11/1, 11:59PM</td> </tr> <tr> <td>Week 11 (11/5)</td> <td> </td> <td> </td> <td>11/8, 11:59PM</td> </tr> <tr> <td>Week 12 (11/12)</td> <td> </td> <td> </td> <td>11/15, 11:59PM</td> </tr> <tr> <td>Week 13 (11/19)</td> <td> </td> <td> </td> <td>&ndash;</td> </tr> <tr> <td>Week 14 (11/26)</td> <td><strong>NO INSTRUCTION — Thanksgiving</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 15 (12/3)</td> <td> </td> <td> </td> <td>12/6, 11:59PM</td> </tr> <tr> <td>Week 16 (12/10)</td> <td>Lab Completion</td> <td>&ndash;</td> <td>12/10, 11:59PM</td> </tr> </tbody> </table> <div class="footnotes" role="doc-endnotes"> <hr> <ol> <li id="fn:1"> <p>The grading breakdown is subject to change at the discretion of the instructor and in accordance with the University grading system and policies.&#160;<a href="#fnref:1" class="footnote-backref" role="doc-backlink">&#x21a9;&#xfe0e;</a></p> </li> </ol> </div>https://gustybear.github.io/teaching/course_ece361_2026_fall/Mon, 10 Aug 2026 02:58:53 +0000https://gustybear.github.io/teaching/course_ece361_2026_fall/<h1 id="executive-summary">Executive Summary</h1> <p>ECE 361 is an undergraduate-level course on computer organization and processor design. This course explores the fundamental organization and design of computer systems, starting from computer architecture and instruction set architecture (ISA), through processor datapath and control design, to arithmetic logic units (ALUs), memory organization, and input/output (I/O) systems. The course also introduces SystemVerilog for modeling, implementing, and testing processor components and computer systems, providing students with hands-on experience in hardware-oriented system design. Pre: 205 and 260, or consent.</p> <h1 id="logistics">Logistics</h1> <ul> <li> <p><strong>CRN</strong></p> <table> <thead> <tr> <th>ECE361 001</th> <th>ECE361L 001</th> <th>ECE361L 002</th> <th>ECE361L 003</th> </tr> </thead> <tbody> <tr> <td>77422</td> <td>77643</td> <td>77644</td> <td>77645</td> </tr> </tbody> </table> </li> <li> <p><strong>Personnel</strong></p> <table> <thead> <tr> <th>Role / Personnel</th> <th>Assigned Session</th> <th>Office Hours / Notes</th> </tr> </thead> <tbody> <tr> <td>Lecturer: </td> <td>N/A</td> <td>see </td> </tr> <tr> <td>TA: </td> <td>Session 1 (T 09:00am - 11:45am)</td> <td>TBD</td> </tr> <tr> <td>TA: </td> <td>Session 2 (T 13:30pm - 16:15pm)</td> <td>TBD</td> </tr> </tbody> </table> </li> <li> <p><strong>Classroom</strong></p> <table> <thead> <tr> <th>Time</th> <th>Location</th> <th>Textbook/HW</th> <th>HW/Exam Effort</th> </tr> </thead> <tbody> <tr> <td>MWF 09:30am-10:20am</td> <td>Holmes Hall 242</td> <td><em>Logic Design and Verification Using SystemVerilog (Revised)</em> by Donald Thomas</td> <td>Individual</td> </tr> <tr> <td></td> <td></td> <td><em>Computer Organization and Design: The Hardware/Software Interface — MIPS Edition</em> by Patterson and Hennessy</td> <td></td> </tr> </tbody> </table> </li> <li> <p><strong>Laboratory</strong></p> <table> <thead> <tr> <th>Session</th> <th>Time</th> <th>Location</th> <th>Report Effort</th> </tr> </thead> <tbody> <tr> <td>01</td> <td>T 09:00am - 11:45am</td> <td>Holmes Hall 451</td> <td>Group</td> </tr> <tr> <td>02</td> <td>T 13:30pm - 16:15pm</td> <td>Holmes Hall 451</td> <td>Group</td> </tr> </tbody> </table> </li> </ul> <h1 id="grading">Grading</h1> <ul> <li><strong>Breakdown</strong><sup id="fnref:1"><a href="#fn:1" class="footnote-ref" role="doc-noteref">1</a></sup></li> </ul> <table> <thead> <tr> <th>Midterm Exam 1</th> <th>Midterm Exam 2</th> <th>Final Exam</th> <th>Homeworks / Take-Home Quizzes</th> </tr> </thead> <tbody> <tr> <td>25%</td> <td>25%</td> <td>25%</td> <td>25%</td> </tr> </tbody> </table> <ul> <li><strong>Cutoffs</strong></li> </ul> <table> <thead> <tr> <th>A</th> <th>A-</th> <th>B+</th> <th>B</th> <th>B-</th> <th>C+</th> <th>C</th> <th>C-</th> <th>D+</th> <th>D</th> <th>D-</th> <th>F</th> </tr> </thead> <tbody> <tr> <td>90%</td> <td>87%</td> <td>83%</td> <td>80%</td> <td>77%</td> <td>73%</td> <td>70%</td> <td>67%</td> <td>63%</td> <td>60%</td> <td>57%</td> <td>&lt;57%</td> </tr> </tbody> </table> <ul> <li><strong>Proscribed Conduct</strong>: Copying or otherwise cheating on homework, lab reports, or exam will result in a failing grade for the course. More details can be found at student conduct code policies, </li> </ul> <h1 id="schedule">Schedule</h1> <h2 id="lecture">Lecture</h2> <h2 id="lecture-1">Lecture</h2> <table> <thead> <tr> <th>TIME</th> <th>TOPICS</th> <th>READING / HW / EXAM</th> <th>DEADLINE</th> </tr> </thead> <tbody> <tr> <td>Week 1 — Mon. 8/24/2026</td> <td>Introduction / Review Part 1: Data</td> <td>Data representation, conversions, signed integers, arithmetic</td> <td>&ndash;</td> </tr> <tr> <td>Week 1 — Wed. 8/26/2026</td> <td>Review Part 2: Logic Operations</td> <td>Logic operations and Boolean concepts</td> <td>&ndash;</td> </tr> <tr> <td>Week 1 — Fri. 8/28/2026</td> <td>Review Part 3: Combinational Circuits</td> <td>Combinational logic and circuit design</td> <td>&ndash;</td> </tr> <tr> <td>Week 2 — Mon. 8/31/2026</td> <td>Review Part 4: Sequential Circuits</td> <td>Sequential logic and state</td> <td>&ndash;</td> </tr> <tr> <td>Week 2 — Wed. 9/2/2026</td> <td>SystemVerilog I: Combinational Circuits</td> <td>SystemVerilog modeling of combinational circuits</td> <td>&ndash;</td> </tr> <tr> <td>Week 2 — Fri. 9/4/2026</td> <td>SystemVerilog I: Simulation</td> <td>Simulation and verification basics</td> <td>&ndash;</td> </tr> <tr> <td>Week 3 — Mon. 9/7/2026</td> <td><strong>NO INSTRUCTION — Labor Day</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 3 — Wed. 9/9/2026</td> <td>SystemVerilog I: Sequential Circuits</td> <td>Sequential circuit modeling</td> <td>&ndash;</td> </tr> <tr> <td>Week 3 — Fri. 9/11/2026</td> <td>SystemVerilog I: Additional Constructs</td> <td>Additional SystemVerilog concepts</td> <td>&ndash;</td> </tr> <tr> <td>Week 4 — Mon. 9/14/2026</td> <td>Computer Architecture Overview I: Introduction and Performance</td> <td>Patterson &amp; Hennessy, Sec. 1.1–1.6</td> <td>&ndash;</td> </tr> <tr> <td>Week 4 — Wed. 9/16/2026</td> <td>Computer Architecture Overview II: Design</td> <td>Patterson &amp; Hennessy, Sec. 1.7–1.11</td> <td>&ndash;</td> </tr> <tr> <td>Week 4 — Fri. 9/18/2026</td> <td>ISA I: Barely C</td> <td>Programming model and preparation for MIPS ISA</td> <td>&ndash;</td> </tr> <tr> <td>Week 5 — Mon. 9/21/2026</td> <td>ISA II: CPU and Instruction Execution</td> <td>MIPS ISA</td> <td>&ndash;</td> </tr> <tr> <td>Week 5 — Wed. 9/23/2026</td> <td>ISA III</td> <td>MIPS instructions and data operations</td> <td>&ndash;</td> </tr> <tr> <td>Week 5 — Fri. 9/25/2026</td> <td>ISA IV: Instruction Formats</td> <td>MIPS instruction encoding and formats</td> <td>&ndash;</td> </tr> <tr> <td>Week 6 — Mon. 9/28/2026</td> <td>ISA V: Stack</td> <td>Stack organization and usage</td> <td>&ndash;</td> </tr> <tr> <td>Week 6 — Wed. 9/30/2026</td> <td>ISA Practice / Quiz / Problem Solving</td> <td>Review and practice</td> <td>&ndash;</td> </tr> <tr> <td>Week 6 — Fri. 10/2/2026</td> <td>ISA VI: Subroutines</td> <td>Procedure calls and subroutines</td> <td>&ndash;</td> </tr> <tr> <td>Week 7 — Mon. 10/5/2026</td> <td>ISA VII: System-Level Concepts</td> <td>System-level ISA concepts</td> <td>&ndash;</td> </tr> <tr> <td>Week 7 — Wed. 10/7/2026</td> <td>ISA Review / Problem Solving</td> <td>Review and practice</td> <td>&ndash;</td> </tr> <tr> <td>Week 7 — Fri. 10/9/2026</td> <td>Processor I: Single-Cycle Processor</td> <td>Single-cycle datapath and control</td> <td>&ndash;</td> </tr> <tr> <td>Week 8 — Mon. 10/12/2026</td> <td>Processor II: Pipeline</td> <td>Pipelining fundamentals</td> <td>&ndash;</td> </tr> <tr> <td>Week 8 — Wed. 10/14/2026</td> <td>Processor II: Pipeline, continued</td> <td>Pipeline stages and timing</td> <td>&ndash;</td> </tr> <tr> <td>Week 8 — Fri. 10/16/2026</td> <td>Processor III: Pipeline Implementation</td> <td>Pipelined datapath implementation</td> <td>&ndash;</td> </tr> <tr> <td>Week 9 — Mon. 10/19/2026</td> <td>Processor IV: Hazards</td> <td>Pipeline hazards</td> <td>&ndash;</td> </tr> <tr> <td>Week 9 — Wed. 10/21/2026</td> <td>Processor V: Data Hazards</td> <td><strong>Midterm Exam 1 — Take Home opens</strong></td> <td>12:01 AM</td> </tr> <tr> <td>Week 9 — Fri. 10/23/2026</td> <td>Processor VI: Control Hazards</td> <td>Branches and control hazards</td> <td>&ndash;</td> </tr> <tr> <td>Week 10 — Mon. 10/26/2026</td> <td>Processor VII: Dynamic Prediction</td> <td><strong>Midterm Exam 1 — Take Home due</strong></td> <td>11:59 PM</td> </tr> <tr> <td>Week 10 — Wed. 10/28/2026</td> <td>Memory I: Basics</td> <td>Memory hierarchy fundamentals</td> <td>&ndash;</td> </tr> <tr> <td>Week 10 — Fri. 10/30/2026</td> <td>Memory II: Blocks and Caches</td> <td>Cache blocks and mapping</td> <td>&ndash;</td> </tr> <tr> <td>Week 11 — Mon. 11/2/2026</td> <td>Cache and Memory Review</td> <td>Memory hierarchy review and practice</td> <td>&ndash;</td> </tr> <tr> <td>Week 11 — Wed. 11/4/2026</td> <td>Memory III: Technologies</td> <td>Memory technologies</td> <td>&ndash;</td> </tr> <tr> <td>Week 11 — Fri. 11/6/2026</td> <td>ALU I: Integer Arithmetic</td> <td>Integer arithmetic</td> <td>&ndash;</td> </tr> <tr> <td>Week 12 — Mon. 11/9/2026</td> <td>ALU II: Integer Multiplication</td> <td>Multiplication hardware and algorithms</td> <td>&ndash;</td> </tr> <tr> <td>Week 12 — Wed. 11/11/2026</td> <td><strong>NO INSTRUCTION — Veterans Day</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 12 — Fri. 11/13/2026</td> <td>ALU III: Floating Point</td> <td>Floating-point representation and arithmetic</td> <td>&ndash;</td> </tr> <tr> <td>Week 13 — Mon. 11/16/2026</td> <td>ALU Review</td> <td>ALU review and practice</td> <td>&ndash;</td> </tr> <tr> <td>Week 13 — Wed. 11/18/2026</td> <td>Processor Review</td> <td>Processor, pipeline, memory, and ALU review</td> <td>&ndash;</td> </tr> <tr> <td>Week 13 — Fri. 11/20/2026</td> <td>Processor / Memory Review</td> <td>Review and problem solving</td> <td>&ndash;</td> </tr> <tr> <td>Week 14 — Mon. 11/23/2026</td> <td>SystemVerilog II: Hardware Threads and Clock Domains</td> <td><strong>Midterm Exam 2 — Take Home opens</strong></td> <td>12:01 AM</td> </tr> <tr> <td>Week 14 — Wed. 11/25/2026</td> <td>SystemVerilog II: Hardware Thread Interaction and Interfaces</td> <td>Thread interaction and interfaces</td> <td>&ndash;</td> </tr> <tr> <td>Week 14 — Fri. 11/27/2026</td> <td><strong>NO INSTRUCTION — Thanksgiving Period</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 14 — Sun. 11/29/2026</td> <td>&ndash;</td> <td><strong>Midterm Exam 2 — Take Home due</strong></td> <td>11:59 PM</td> </tr> <tr> <td>Week 15 — Mon. 11/30/2026</td> <td>SystemVerilog III: Testbenches and Randomization</td> <td>Verification testbenches and constrained randomization</td> <td>&ndash;</td> </tr> <tr> <td>Week 15 — Wed. 12/2/2026</td> <td>SystemVerilog III: Assertions and Sequences</td> <td>Assertions, properties, and sequences</td> <td>&ndash;</td> </tr> <tr> <td>Week 15 — Fri. 12/4/2026</td> <td>I/O: Introduction</td> <td>I/O fundamentals and system integration</td> <td>&ndash;</td> </tr> <tr> <td>Week 16 — Mon. 12/7/2026</td> <td>I/O: Applications and Examples</td> <td>I/O applications and design examples</td> <td>&ndash;</td> </tr> <tr> <td>Week 16 — Wed. 12/9/2026</td> <td>Final Review</td> <td>Comprehensive final review</td> <td>&ndash;</td> </tr> <tr> <td>Study Period — 12/11/2026–12/12/2026</td> <td><strong>Study Period</strong></td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Finals — Mon. 12/14/2026</td> <td><strong>Final Exam — In Person</strong></td> <td>Comprehensive Final Exam</td> <td>9:45–11:45 AM</td> </tr> </tbody> </table> <blockquote class="border-l-4 border-neutral-300 dark:border-neutral-600 pl-4 italic text-neutral-600 dark:text-neutral-400 my-6"> <p><strong>Note:</strong> Lecture topics are organized from the provided ECE361 slide set. Midterm placement follows the natural gaps and review material in that sequence; adjust the two midterm dates if the official Fall 2026 exam plan differs.</p> </blockquote> <h2 id="laboratory">Laboratory</h2> <h1 id="lab-schedule">Lab Schedule</h1> <table> <thead> <tr> <th>TIME</th> <th>LAB</th> <th>TOPIC</th> <th>DEADLINE</th> </tr> </thead> <tbody> <tr> <td>Week 1–2 — 8/25–9/8/2026</td> <td>1</td> <td>Unix/Linux</td> <td>9/8, 11:59 PM</td> </tr> <tr> <td>Week 3–4 — 9/8–9/22/2026</td> <td>2</td> <td>C Language</td> <td>9/22, 11:59 PM</td> </tr> <tr> <td>Week 5–6 — 9/22–10/6/2026</td> <td>3</td> <td>SystemVerilog I</td> <td>10/6, 11:59 PM</td> </tr> <tr> <td>Week 7–8 — 10/6–10/20/2026</td> <td>4</td> <td>QtSPIM and MIPS</td> <td>10/20, 11:59 PM</td> </tr> <tr> <td>Week 9–10 — 10/20–11/3/2026</td> <td>5</td> <td>FPGA</td> <td>11/3, 11:59 PM</td> </tr> <tr> <td>Week 11–12 — 11/3–11/17/2026</td> <td>6</td> <td>CPU Research</td> <td>11/17, 11:59 PM</td> </tr> <tr> <td>Week 13–15 — 11/17–12/8/2026</td> <td>7</td> <td>Pipeline Processor</td> <td>12/8, 11:59 PM</td> </tr> </tbody> </table> <div class="footnotes" role="doc-endnotes"> <hr> <ol> <li id="fn:1"> <p>The grading breakdown is subject to change at the discretion of the instructor and in accordance with the University grading system and policies.&#160;<a href="#fnref:1" class="footnote-backref" role="doc-backlink">&#x21a9;&#xfe0e;</a></p> </li> </ol> </div>https://gustybear.github.io/publication/guo-demo-disrupting-in-car-mmwave-sensing-2025/Mon, 10 Nov 2025 00:00:00 +0000https://gustybear.github.io/publication/guo-demo-disrupting-in-car-mmwave-sensing-2025/https://gustybear.github.io/publication/sameera-heart-rate-variability-sensing-2025/Mon, 10 Nov 2025 00:00:00 +0000https://gustybear.github.io/publication/sameera-heart-rate-variability-sensing-2025/https://gustybear.github.io/publication/landika-optimized-irs-positioning-for-phase-tuned-2025/Mon, 10 Nov 2025 00:00:00 +0000https://gustybear.github.io/publication/landika-optimized-irs-positioning-for-phase-tuned-2025/https://gustybear.github.io/publication/chen-secure-irs-defending-against-adversarial-2025/Mon, 10 Nov 2025 00:00:00 +0000https://gustybear.github.io/publication/chen-secure-irs-defending-against-adversarial-2025/https://gustybear.github.io/publication/ishrak-sidesense-robust-physiological-motion-2025/Mon, 10 Nov 2025 00:00:00 +0000https://gustybear.github.io/publication/ishrak-sidesense-robust-physiological-motion-2025/https://gustybear.github.io/grant/2026_hisc_harmonic_radar/Fri, 07 Nov 2025 00:00:00 -1000https://gustybear.github.io/grant/2026_hisc_harmonic_radar/<h1 id="executive-summary">Executive Summary</h1> <p>This project develops an innovative <strong>drone-mounted millimeter-wave (mmWave) harmonic radar system</strong> for <strong>tracking invasive pest insects</strong> in Hawai‘i. The technology targets destructive species such as the <strong>coconut rhinoceros beetle</strong> and <strong>melon fly</strong>, aiming to improve early detection, optimize control strategies, and protect the islands’ ecosystems and agriculture.</p> <p>Traditional harmonic radar systems are limited to short ranges and heavy transponders. Our approach integrates <strong>12 GHz/24 GHz phased-array beamforming</strong>, <strong>miniaturized Nitinol-based transponders</strong>, and <strong>multi-drone coordination</strong> for long-range, real-time tracking of small, fast-moving insects—achieving high precision with minimal behavioral impact.</p> <h1 id="research-objectives">Research Objectives</h1> <p><strong>Goal:</strong> Build and validate a UAV-mounted harmonic radar network for aerial tracking of invasive insects across complex Hawaiian landscapes.</p> <h2 id="task-1--mmwave-beamsteering-harmonic-transceiver">Task 1 – mmWave Beamsteering Harmonic Transceiver</h2> <p>Design a <strong>compact 12 GHz phased-array transmitter</strong> using COTS modules and a heterodyne architecture for coherent beamforming.</p> <ul> <li>Operates at <strong>12/24 GHz ISM bands</strong></li> <li>Achieves &gt;10 m range with lightweight, steerable arrays</li> <li>Enables UAV integration for agile tracking</li> </ul> <h2 id="task-2--ultralight-harmonic-tag">Task 2 – Ultralight Harmonic Tag</h2> <p>Develop a <strong>miniaturized 24 GHz transponder</strong> using a <strong>hollow bowtie antenna</strong> made of <strong>shape-memory alloy (Nitinol)</strong> and a <strong>Schottky diode</strong> for harmonic generation.</p> <ul> <li>Tag weight &lt; 1 mg for compatibility with small insects</li> <li>Structural resilience through Nitinol’s superelasticity</li> <li>Broadband harmonic reflection optimized for 12→24 GHz doubling</li> </ul> <h2 id="task-3--multi-drone-localization-network">Task 3 – Multi-Drone Localization Network</h2> <p>Implement a <strong>distributed multistatic radar system</strong> using one TX and multiple RX drones for real-time localization.</p> <ul> <li>Uses synchronized bistatic ranging and multilateration</li> <li>Integrates GPS time sync and low-latency communications</li> <li>Coordinates drone formations for continuous insect tracking</li> </ul> <h1 id="broader-impacts">Broader Impacts</h1> <p>This system aligns with <strong>HISC priorities</strong> for early detection and rapid response (Priority 1) and technological innovation for pest management (Priority 2). It promotes cross-disciplinary collaboration among engineers, biologists, and agricultural scientists to create deployable surveillance tools for invasive species control.<br> Potential benefits include:</p> <ul> <li>Reduced pesticide dependence through precise targeting</li> <li>Enhanced monitoring of remote or forested regions</li> <li>Scalable open-source framework for ecological sensing</li> </ul> <h1 id="team">Team</h1> <ul> <li><strong>PI:</strong> Dr. Yao Zheng – mmWave radar, phased array, RF sensing</li> <li><strong>Co-PI:</strong> Dr. Haofan Cai – RFID and low-power tag design</li> <li><strong>Co-PI:</strong> Dr. Daniel Jenkins – UAV systems, autonomous sensing, precision agriculture</li> </ul> <p>Collaborators include <strong>USDA-PBARC</strong> and <strong>NIWC Pacific</strong> for field validation and data integration.</p> <h1 id="timeline-dec-2025--nov-2026">Timeline (Dec 2025 – Nov 2026)</h1> <table> <thead> <tr> <th style="text-align: left"><strong>Phase</strong></th> <th style="text-align: left"><strong>Period</strong></th> <th style="text-align: left"><strong>Milestone</strong></th> <th style="text-align: left"><strong>Lead</strong></th> </tr> </thead> <tbody> <tr> <td style="text-align: left">Phase I</td> <td style="text-align: left">Months 1–3</td> <td style="text-align: left">Frequency translator upgrade and system specification</td> <td style="text-align: left">UHM ECE</td> </tr> <tr> <td style="text-align: left">Phase II</td> <td style="text-align: left">Months 4–6</td> <td style="text-align: left">Phased-array prototype and beamforming validation</td> <td style="text-align: left">UHM ECE</td> </tr> <tr> <td style="text-align: left">Phase III</td> <td style="text-align: left">Months 7–9</td> <td style="text-align: left">Harmonic tag fabrication and field characterization</td> <td style="text-align: left">UHM ECE</td> </tr> <tr> <td style="text-align: left">Phase IV</td> <td style="text-align: left">Months 10–12</td> <td style="text-align: left">Multi-drone localization demo and final reporting</td> <td style="text-align: left">UHM ECE</td> </tr> </tbody> </table> <h1 id="expected-deliverables">Expected Deliverables</h1> <ul> <li>Functional <strong>12/24 GHz drone-mounted harmonic radar prototype</strong></li> <li><strong>Miniaturized Nitinol-based insect tags</strong> (&lt; 1 mg)</li> <li><strong>Validated multi-drone localization system</strong> (&gt; 100 m effective range)</li> <li>Technical documentation and open-source dataset for future HISC programs</li> </ul> <p>📡 <strong>Project Lead:</strong> <br> 🏛️ <strong>Institution:</strong> University of Hawai‘i at Mānoa – College of Engineering<br> 🌺 <strong>Supported by:</strong> Hawai‘i Invasive Species Council (HISC) 2026–2027</p>https://gustybear.github.io/grant/2025_ctahr_cares_wearable/Fri, 07 Nov 2025 00:00:00 -1000https://gustybear.github.io/grant/2025_ctahr_cares_wearable/<h1 id="executive-summary">Executive Summary</h1> <p>This CTAHR CARES pilot project develops <strong>non-invasive wearable sweat sensors</strong> to monitor <strong>heat stress in beef cattle</strong> at the molecular level. By coupling commercial sweat and internal temperature sensors with <strong>sweat metabolomics</strong> and <strong>gut microbiome profiling</strong>, the team aims to uncover biomarkers that distinguish <strong>heat-stressed</strong> from <strong>heat-resistant</strong> animals.</p> <p>Heat stress in cattle is typically assessed using a combination of <strong>visual observation</strong>, <strong>physiological measurements</strong>, and <strong>environmental indices</strong> such as the Temperature–Humidity Index (THI). These methods are indirect, labor intensive, and often fail to capture <strong>individual animal differences</strong> in tolerance. This project will generate <strong>continuous, individual-level data</strong> on sweating, body temperature, movement, and molecular signatures to enable climate-resilient herd management and breeding strategies in Hawaiʻi and beyond.</p> <h1 id="problem-statement">Problem Statement</h1> <p>Beef cattle in tropical and subtropical environments face increasingly frequent <strong>heat-stress events</strong> driven by climate change. Current evaluation methods:</p> <ul> <li>Rely on <strong>THI</strong> and farm-level weather data</li> <li>Use <strong>intermittent measurements</strong> of body temperature and respiration</li> <li>Depend on <strong>subjective observation</strong> of panting, drooling, and behavior</li> </ul> <p>However:</p> <ul> <li><strong>Individual and breed variation</strong> in heat tolerance is large</li> <li>Early, sub-clinical heat stress is often <strong>missed</strong></li> <li>Invasive or sporadic measurements are <strong>not scalable</strong> for large herds</li> </ul> <p>There is a critical need for <strong>fast, accurate, and non-invasive tools</strong> to determine when a specific cow is experiencing heat stress, and to identify animals that remain resilient under extreme conditions.</p> <h1 id="research-objectives">Research Objectives</h1> <p><strong>Overall Goal:</strong> Develop an integrated framework that links <strong>wearable sweat and temperature sensing</strong> with <strong>metabolomics</strong> and <strong>microbiome</strong> data to quantify heat stress and heat resistance in cattle.</p> <h1 id="objective-1--characterize-heat-stress-physiology">Objective 1 – Characterize Heat Stress Physiology</h1> <ul> <li>Relate <strong>sweating rate</strong>, internal body temperature, and movement patterns to <strong>environmental conditions</strong> (THI, day/night cycles, seasonal variation)</li> <li>Capture how <strong>apocrine sweat glands</strong> in cattle respond under different levels of heat load</li> </ul> <h1 id="objective-2--identify-molecular-biomarkers">Objective 2 – Identify Molecular Biomarkers</h1> <ul> <li>Perform <strong>sweat metabolomics</strong> to identify compounds associated with heat stress vs. heat resistance</li> <li>Analyze <strong>gut microbiota</strong> (from fecal samples) and <strong>blood-based markers</strong></li> <li>Measure <strong>thyroid hormone</strong> levels, <strong>heat shock proteins (HSPs)</strong>, and <strong>mitochondrial ATP-related gene expression</strong> as potential indicators of chronic heat load</li> </ul> <h1 id="objective-3--enable-climate-resilient-cattle-selection">Objective 3 – Enable Climate-Resilient Cattle Selection</h1> <ul> <li>Integrate physiological and molecular data to identify <strong>candidate biomarkers and genetic markers</strong> of heat stress and heat resistance</li> <li>Provide a foundation for <strong>future selection and breeding programs</strong> targeting climate-resilient cattle in Hawaiʻi’s diverse environments</li> </ul>https://gustybear.github.io/projects/x96_intro_ceng_pico/Wed, 29 Oct 2025 04:14:54 -0800https://gustybear.github.io/projects/x96_intro_ceng_pico/<p> <figure > <div class="flex justify-center "> <div class="w-full" ><img src="./images/raspi-pico.png" alt="" loading="lazy" data-zoomable /></div> </div></figure> </p> <h1 id="executive-summary">Executive Summary</h1> <p>This project course introduces students to hands-on Computer Engineering (CENG) projects through the Pico platform. Students learn fundamentals of embedded systems, sensors, and wireless communication while designing small-scale prototypes that integrate hardware and software. The course emphasizes practical experimentation, teamwork, and iterative design—preparing students for advanced VIP and capstone projects in automation, robotics, and intelligent sensing systems.</p> <h1 id="logistics">Logistics</h1> <ul> <li> <p><strong>CRN</strong></p> <table> <thead> <tr> <th>Semester</th> <th>ECE 196</th> <th>ECE 296</th> </tr> </thead> <tbody> <tr> <td>Spring 2026</td> <td>86916</td> <td>86945</td> </tr> </tbody> </table> </li> <li> <p><strong>Personnel</strong></p> <table> <thead> <tr> <th>Advisor</th> <th>Office Hours</th> </tr> </thead> <tbody> <tr> <td><details class="spoiler " id="spoiler-0"> <summary class="cursor-pointer">Yao Zheng</summary> <div class="rounded-lg bg-neutral-50 dark:bg-neutral-800 p-2"> Email with &lsquo;&rsquo;[x96 R-Pi Pico W]&rsquo;&rsquo; in the subject line. </div> </details></td> <td> </td> </tr> <tr> <td>Galen Sasaki</td> <td>N/A</td> </tr> </tbody> </table> </li> <li> <p><strong>Meeting</strong>:</p> <table> <thead> <tr> <th>Time</th> <th>Location</th> </tr> </thead> <tbody> <tr> <td>R 12:00pm - 13:00pm</td> <td>HH389</td> </tr> </tbody> </table> </li> </ul> <h1 id="learning-objectives">Learning Objectives</h1> <ul> <li>Enhance their Python programming skills through practical applications.</li> <li>Explore computer hardware concepts, including microcontrollers, with a focus on the Raspberry Pi Pico (RP2040).</li> <li>Understand the interaction between hardware and software.</li> <li>Design and implement engaging and practical engineering projects.</li> <li>Build technical expertise and confidence to: <ul> <li>Learn new skills and technologies independently.</li> <li>Develop personal projects.</li> <li>Seek internships, on-campus jobs, and professional opportunities.</li> <li>Participate in hackathons and engineering competitions.</li> </ul> </li> <li>Cultivate creativity and innovation in engineering design.</li> </ul> <h1 id="course-structure">Course Structure</h1> <ul> <li>Labs: Nine hands-on laboratories.</li> <li>Homework: Assignments for the labs.</li> <li>Final Project: Students will design, develop, and demonstrate a personal project applying the concepts learned throughout the course.</li> </ul> <h1 id="lab-schedule">Lab Schedule</h1> <table> <thead> <tr> <th><strong>Lab</strong></th> <th><strong>Time Range</strong></th> <th><strong>Focus and Core Tasks</strong></th> </tr> </thead> <tbody> <tr> <td><strong>Lab 1: Embedded Computing Foundations</strong></td> <td>Week 1</td> <td>Raspberry Pi Pico W architecture and I/O<br>Toolchain setup and debugging<br>First embedded program</td> </tr> <tr> <td><strong>Lab 2: Circuits and Prototyping Basics</strong></td> <td>Week 2</td> <td>Breadboard prototyping<br>Passive components (resistors, LEDs)<br>Power and grounding basics</td> </tr> <tr> <td><strong>Lab 3: Digital I/O and Sensor Interfaces</strong></td> <td>Week 3</td> <td>Digital inputs and outputs<br>Button debouncing and state machines<br>Temperature sensor interfacing</td> </tr> <tr> <td><strong>Lab 4: Human–Device Interfaces</strong></td> <td>Week 4 → Week 5 (first half)</td> <td>I²C/SPI communication<br>OLED display pipelines<br>Joystick input and interactive application</td> </tr> <tr> <td><strong>Lab 5: Networked Embedded Systems</strong></td> <td>Week 5 (second half) → Week 6</td> <td>Embedded web servers<br>Socket-based client–server communication<br>Remote control of LEDs and displays</td> </tr> <tr> <td><strong>Lab 6: Internet Services and Performance</strong></td> <td>Week 7 → Week 8 (first half)</td> <td>REST APIs and cloud data ingestion<br>Latency and throughput considerations<br>Sensorless “weather station”</td> </tr> <tr> <td><strong>Lab 7: Concurrent and Multicore Systems</strong></td> <td>Week 8 (second half) → Week 9</td> <td>Multicore programming on Pico W<br>Concurrent sensing and display tasks<br>Synchronization primitives</td> </tr> <tr> <td><strong>Lab 8: Collaborative Software Development</strong></td> <td>Week 10</td> <td>Git and GitHub workflows<br>Branching, pull requests, and code review<br>Team-based development</td> </tr> <tr> <td><strong>Lab 9: AI-Assisted Development</strong></td> <td>Week 11</td> <td>AI-assisted coding and refactoring<br>Debugging with AI tools<br>Validation and responsible use</td> </tr> <tr> <td><strong>Final Project: Integrated IoT System</strong></td> <td>Weeks 12–15</td> <td>End-to-end embedded and networked system<br></td> </tr> </tbody> </table> <h1 id="required-lab-components">Required Lab Components</h1> <p>Components will be provided.</p> <ul> <li> </li> <li> </li> </ul> <p>Time Commitment: Average of 5-6 hours per week.</p> <p> <figure > <div class="flex justify-center "> <div class="w-full" ><img src="./images/oled-pika-cat.png" alt="Picture of two OLED screens, one of a surprised pikachu, another of a cat." loading="lazy" data-zoomable /></div> </div></figure> </p>https://gustybear.github.io/facility/micro_design/Tue, 28 Oct 2025 04:14:54 -0800https://gustybear.github.io/facility/micro_design/<h1 id="executive-summary">Executive Summary</h1> <p>This facility supports an <strong>end-to-end microelectronic workflow</strong>—from <strong>IC/RF front-end design</strong> and <strong>pre-silicon emulation</strong>, through <strong>fabrication handoff</strong>, to <strong>post-silicon validation and correlation</strong>.</p> <p><strong>Tool pillars</strong></p> <ul> <li><strong>EM &amp; high-frequency verification:</strong> ANSYS Electronics Desktop / <strong>HFSS</strong></li> <li><strong>Custom IC schematic-to-layout:</strong> <strong>Cadence Virtuoso</strong> (PDK-based)</li> <li><strong>System/channel realism for wireless experiments:</strong> <strong>Remcom Wireless InSite</strong></li> </ul> <blockquote class="border-l-4 border-neutral-300 dark:border-neutral-600 pl-4 italic text-neutral-600 dark:text-neutral-400 my-6"> <p>New project? Start with <strong> </strong>, then follow the <strong> </strong>.</p> </blockquote> <h1 id="navigation">Navigation</h1> <ul> <li><strong> </strong></li> <li><strong> </strong></li> <li><strong> </strong></li> <li><strong> </strong></li> <li><strong> </strong></li> <li><strong> </strong></li> <li><strong> </strong></li> <li><strong> </strong></li> <li><strong> </strong></li> </ul> <h1 id="capabilities">Capabilities</h1> <h2 id="design">Design</h2> <ul> <li>Analog / mixed-signal / RF IC schematic design and simulation</li> <li>RF/microwave modeling (antennas, passives, packages, interconnects)</li> <li>Co-design of <strong>circuits + EM structures + system constraints</strong></li> </ul> <h2 id="emulation">Emulation</h2> <ul> <li>Pre-silicon exploration using behavioral/compact models</li> <li>Parameter sweeps and sensitivity studies to de-risk tapeout</li> <li>“What-if” studies on corners, parasitics, and layout-dependent effects</li> </ul> <h2 id="fabrication-handoff">Fabrication handoff</h2> <ul> <li>Layout readiness checks (DRC/LVS/PEX workflows via PDK)</li> <li>Tapeout package preparation (GDS + documentation)</li> <li>Coordination for MPW/shuttle or foundry pathways <em>(availability depends on project and partner access)</em></li> </ul> <h2 id="validation">Validation</h2> <ul> <li>Post-silicon comparison: <strong>measured vs simulated</strong></li> <li>S-parameter correlation, de-embedding planning, and model updates</li> <li>Reproducible reporting for publications and future tapeouts</li> </ul> <h1 id="quick-start">Quick Start</h1> <ol> <li> <p><strong>Pick your entry point</strong></p> <ul> <li><em>EM/RF components &amp; antennas</em> → <strong> </strong></li> <li><em>IC schematic-to-layout</em> → <strong> </strong></li> <li><em>Propagation / RIS / channel realism</em> → <strong> </strong></li> </ul> </li> <li> <p><strong>Build a minimal, reviewable baseline (aim for 1–2 days)</strong></p> <ul> <li>One schematic or EM model that reproduces a known reference</li> <li>One plot that becomes your <strong>golden regression</strong> (S-parameters, gain, NF, phase noise, etc.)</li> </ul> </li> <li> <p><strong>Decide your validation target early</strong></p> <ul> <li>What will be measured? what fixtures? what calibration/de-embedding approach?</li> </ul> </li> </ol> <h1 id="tool-map">Tool map</h1> <table> <thead> <tr> <th>Tool</th> <th>Best for</th> <th>Typical outputs</th> </tr> </thead> <tbody> <tr> <td><strong>ANSYS AEDT / HFSS</strong></td> <td>3D EM simulation of antennas, passives, packages, interconnects</td> <td>S-parameters, radiation patterns, fields, loss/Q, EM co-sim models</td> </tr> <tr> <td><strong>Cadence Virtuoso</strong></td> <td>IC design from schematic → layout → verification → sign-off</td> <td>Schematics, simulations, layout, DRC/LVS/PEX reports, GDS</td> </tr> <tr> <td><strong>Remcom Wireless InSite</strong></td> <td>Site-specific channel realism via ray-tracing / empirical models</td> <td>Coverage maps, channel impulse response, path loss, multipath statistics</td> </tr> </tbody> </table> <h1 id="ansys-electronics-desktop--hfss">ANSYS Electronics Desktop &amp; HFSS</h1> <p> <figure > <div class="flex justify-center "> <div class="w-full" > <img alt="" srcset="https://gustybear.github.io/facility/micro_design/ansys-featured-top_hu_fb838530389b2e70.webp 320w, https://gustybear.github.io/facility/micro_design/ansys-featured-top_hu_e77f86edc70c623a.webp 480w, https://gustybear.github.io/facility/micro_design/ansys-featured-top_hu_38d0f92fbd7ccac3.webp 760w" sizes="(max-width: 480px) 100vw, (max-width: 768px) 90vw, (max-width: 1024px) 80vw, 760px" src="https://gustybear.github.io/facility/micro_design/ansys-featured-top_hu_fb838530389b2e70.webp" width="760" height="482" loading="lazy" data-zoomable /></div> </div></figure> </p> <p><strong>Best for:</strong> EM simulation and validation of RF/microwave components, antennas, and high-frequency structures using 3D FEM workflows.</p> <h2 id="self-paced-resources">Self-paced resources</h2> <ul> <li>ANSYS Academic Learning Resources: </li> <li>Intro course (HFSS workflows &amp; fundamentals): </li> <li>Antenna learning track: </li> <li>Student Version (non-commercial): </li> <li>Learning Library &amp; Forum: </li> </ul> <h2 id="structured--premium-resources">Structured / premium resources</h2> <ul> <li>ANSYS Learning Hub: </li> <li>SimuTech EMAG102 (3D EM design): </li> <li>Rescale batch/HPC tutorial: </li> </ul> <h2 id="research-oriented-learning-path">Research-oriented learning path</h2> <ol> <li>Install AEDT (student version where appropriate).</li> <li>Complete the Intro HFSS course.</li> <li>Reproduce at least one reference antenna/passive example.</li> <li>Modify: substrate, port type, mesh/convergence settings.</li> <li>Capture convergence evidence and solver settings.</li> <li>Add parametric sweeps and HPC workflows as needed.</li> </ol> <h2 id="practical-tips">Practical tips</h2> <ul> <li><strong>Ports/boundaries + mesh/convergence</strong> dominate result quality—treat them as first-class design artifacts.</li> <li>Save convergence plots and solver settings for paper-quality reproducibility.</li> <li>Consider related AEDT tools (Q3D, SIwave, Icepak) when SI/PI/thermal coupling matters.</li> </ul> <h1 id="cadence-virtuoso">Cadence Virtuoso</h1> <p> <figure > <div class="flex justify-center "> <div class="w-full" ><img src="./cadence-featured-top.png" alt="" loading="lazy" data-zoomable /></div> </div></figure> </p> <p><strong>Best for:</strong> custom IC design (analog, mixed-signal, RF) from schematic capture to layout, verification, and simulation.</p> <h2 id="official-training">Official training</h2> <ul> <li>Virtuoso Schematic Editor S1 (schematics): </li> <li>Virtuoso Layout Design Basics: </li> <li>Online Training Library: </li> <li>SKILL programming: </li> </ul> <h2 id="university-and-open-tutorials">University and open tutorials</h2> <ul> <li>University at Buffalo tutorial: </li> <li>Virginia Tech tutorial: </li> <li>UBC inverter design (45 nm): </li> <li>Community playlist (YouTube): </li> </ul> <h2 id="academiccommunity-access">Academic/community access</h2> <ul> <li>CMC Microsystems (academic suite access): </li> </ul> <h2 id="from-zero-to-tapeout-ready">From zero to tapeout-ready</h2> <ol> <li>Reproduce a “hello world” design (e.g., inverter/op-amp) in a standard PDK.</li> <li>Learn simulation flows: DC/AC/transient, <strong>corners</strong>, and basic Monte Carlo.</li> <li>Transition to layout and run <strong>DRC/LVS</strong>.</li> <li>Add <strong>PEX</strong>, then compare pre/post-layout results.</li> <li>Automate repetitive tasks with SKILL only after the manual flow is stable.</li> </ol> <h2 id="practical-tips-1">Practical tips</h2> <ul> <li>Define sign-off checks early (DRC/LVS/PEX/corners/Monte Carlo) and keep them consistent.</li> <li>Maintain a versioned tapeout checklist (schematic, layout, verification reports, notes).</li> </ul> <h1 id="remcom-wireless-insite">Remcom Wireless InSite</h1> <p> <figure > <div class="flex justify-center "> <div class="w-full" ><img src="./remcom-featured-top.png" alt="" loading="lazy" data-zoomable /></div> </div></figure> </p> <p><strong>Best for:</strong> RF propagation modeling via 3D ray-tracing and empirical models to predict coverage, channel characteristics, and system performance in realistic environments. We often use it for <strong>testbed planning</strong> and <strong>RIS-assisted communications</strong> studies.</p> <h2 id="official-tutorials-and-videos">Official tutorials and videos</h2> <ul> <li>Indoor Propagation Analysis tutorial: </li> <li>Intro series (floor plans / geometry): </li> <li>Dynamic mobility simulation: </li> <li>Product overview &amp; features: </li> </ul> <h2 id="documentation-and-support">Documentation and support</h2> <ul> <li>Remcom simulation support &amp; training: </li> <li>Reference PDF (User’s Guide 2.7.1): </li> </ul> <h2 id="channel-realism-learning-path">Channel realism learning path</h2> <ol> <li>Run the indoor tutorial to understand the ray-tracing workflow.</li> <li>Build/import a simple environment and assign materials.</li> <li>Generate coverage maps and channel outputs; sanity-check with simplified baselines.</li> <li>Add mobility/time variation if your experiment needs it.</li> <li>Export results for MATLAB/Python post-processing (plots, statistics, comparisons).</li> </ol> <h2 id="practical-tips-2">Practical tips</h2> <ul> <li>Treat geometry + material definitions as the <strong>model</strong>—document them like a circuit schematic.</li> <li>Record frequency bands, antenna patterns, and material properties for reproducibility.</li> </ul> <h1 id="recommended-end-to-end-workflow">Recommended end-to-end workflow</h1> <ol> <li><strong>Concept + requirements</strong> <ul> <li>Target frequency, bandwidth, power, sensitivity, interfaces, and measurement plan</li> </ul> </li> <li><strong>Pre-silicon modeling / emulation</strong> <ul> <li>Behavioral models → schematic simulations → early EM checks</li> </ul> </li> <li><strong>Layout + verification</strong> <ul> <li>DRC/LVS/PEX + correlation against schematic intent</li> </ul> </li> <li><strong>EM co-simulation (as needed)</strong> <ul> <li>Packages/interconnects/antennas/passives + parasitics</li> </ul> </li> <li><strong>Fabrication handoff (project-dependent)</strong> <ul> <li>GDS + documentation + sign-off checklist + versioned deliverables</li> </ul> </li> <li><strong>Post-silicon validation</strong> <ul> <li>Calibration/de-embedding + measured vs simulated correlation</li> </ul> </li> <li><strong>Documentation</strong> <ul> <li>Store tool versions, scripts, and “golden” plots to ensure publishable, repeatable results</li> </ul> </li> </ol> <h1 id="checklists--best-practices">Checklists &amp; best practices</h1> <h2 id="tapeout-readiness-typical">Tapeout-readiness (typical)</h2> <ul> <li>✅ DRC clean + reports archived</li> <li>✅ LVS clean + connectivity assumptions documented</li> <li>✅ PEX completed + pre/post-layout deltas reviewed</li> <li>✅ Corner coverage defined (PVT, mismatch/Monte Carlo as appropriate)</li> <li>✅ Foundry deliverables packaged (GDS + runsets + README + version tags)</li> </ul> <h2 id="measurement-correlation-typical">Measurement-correlation (typical)</h2> <ul> <li>✅ Fixture and calibration plan (SOLT/TRL/etc.) selected <em>before</em> the first measurement run</li> <li>✅ De-embedding approach defined (structures, reference planes, uncertainty notes)</li> <li>✅ Measured vs simulated plots use the <strong>same reference planes</strong> and <strong>same conditions</strong></li> <li>✅ Model updates are traced to measurements (revision history + rationale)</li> </ul> <h2 id="reproducibility-basics">Reproducibility basics</h2> <ul> <li>Keep a <strong>lab notebook + version control</strong> for projects, scripts, and plots.</li> <li>Save tool versions, PDK versions, and solver settings with every “golden” plot.</li> </ul> <h1 id="notes-for-students-and-new-lab-members">Notes for students and new lab members</h1> <ul> <li>Start small: <strong>one reproducible result beats ten half-working models</strong>.</li> <li>Ask for help with: tool version, screenshots, the smallest reproducing case, and expected vs observed behavior.</li> <li>Treat setup details (ports, boundaries, runsets, fixtures) as part of the design—not an afterthought.</li> </ul> <h1 id="access--support">Access &amp; support</h1> <p><strong>Who this is for</strong></p> <ul> <li>Students and researchers doing IC/RF design, EM validation, and post-silicon correlation</li> <li>Projects that need a documented path from simulation assumptions → fabrication deliverables → measured results</li> </ul> <p><strong>When requesting help, include</strong></p> <ul> <li>Tool + version (and <strong>PDK version</strong> if using Virtuoso)</li> <li>The smallest reproducing case (project archive or screenshot series)</li> <li>What you expected vs what you observed</li> <li>Any “golden” plot you are trying to match (and how it was generated)</li> </ul> <p><strong>Recommended project folder skeleton</strong></p> <ul> <li><code>00_requirements/</code> (spec, interfaces, measurement plan)</li> <li><code>10_models/</code> (behavioral/compact models)</li> <li><code>20_schematic/</code> (schematic + sims)</li> <li><code>30_layout/</code> (layout + DRC/LVS/PEX reports)</li> <li><code>40_em/</code> (HFSS projects, ports/boundaries notes, convergence evidence)</li> <li><code>50_fab/</code> (GDS, runsets, README, sign-off checklist)</li> <li><code>60_measurement/</code> (fixtures, calibration notes, raw data)</li> <li><code>70_correlation/</code> (measured vs simulated plots, model updates)</li> </ul> <p><strong>Collaboration norms</strong></p> <ul> <li>Assume every result should be reproducible by someone else in 6 months.</li> <li>Treat runsets, ports/boundaries, and calibration steps as <strong>design artifacts</strong>.</li> <li>If a project is headed toward tapeout, plan a review gate for: <em>spec freeze → pre-layout sign-off → post-layout sign-off → handoff package</em>.</li> </ul>https://gustybear.github.io/facility/testbed_airan/Mon, 01 Sep 2025 04:14:54 -0800https://gustybear.github.io/facility/testbed_airan/<h1 id="executive-summary">Executive Summary</h1> <p>This lab-scale mmWave AI-Based RAN testbed integrates <strong>OAIBox</strong>, <strong>NVIDIA Aerial RAN</strong>, <strong>NI USRP X410</strong>, <strong>TMYTEK mmWave beamformers</strong>, and a high-fidelity <strong>Digital Twin pipeline</strong> using <strong>Remcom Wireless InSite</strong> and <strong>ANSYS HFSS SBR+</strong> to create a flexible, programmable, and AI-native 5G/6G research environment. It enables real-time prototyping of mmWave physical layers, AI-driven beam management, hybrid beamforming, AI-enhanced MAC scheduling, and joint communication–sensing (ISAC) experiments. The platform supports end-to-end 5G NR PHY/MAC stacks, GPU-accelerated baseband processing, and mmWave RF front-ends for high-bandwidth OTA testing, while the Digital Twin provides physics-accurate ray-tracing, EM-based antenna modeling, and virtual–to–real co-simulation for channel prediction, beam optimization, and AI dataset generation.</p> <h1 id="core-components">Core Components</h1> <h2 id="oaibox--openairinterface-ran-framework">OAIBox – OpenAirInterface RAN Framework</h2> <p>The testbed uses <strong>OAIBox</strong> as a compact and modular implementation of the full OAI RAN stack. It provides:</p> <ul> <li>Support for 5G SA/NSA gNB and UE</li> <li>Flexible PHY–MAC integration</li> <li>Customizable scheduling, HARQ, and protocol features</li> <li>Real-time experimentation with RAN procedures and RRC signaling</li> </ul> <p>OAIBox acts as the protocol and control anchor of the testbed.</p> <h2 id="nvidia-aerial-ran-cuphy--cumac">NVIDIA Aerial RAN (cuPHY + cuMAC)</h2> <p>The <strong>NVIDIA Aerial</strong> platform provides GPU-accelerated baseband processing and AI-native PHY/MAC capabilities:</p> <ul> <li><strong>cuPHY</strong> for NR physical-layer DSP on GPUs</li> <li><strong>cuMAC</strong> for dynamic MAC scheduling on GPU</li> <li>TensorRT for real-time neural inference</li> <li>Support for multi-cell, multi-user, and high-throughput pipelines</li> </ul> <p>Aerial enables experiments in:</p> <ul> <li>AI-driven beam selection and prediction</li> <li>Neural channel estimation</li> <li>Predictive link adaptation and blockage detection</li> </ul> <h2 id="ni-usrp-x410--wideband-software-defined-radio">NI USRP X410 – Wideband Software-Defined Radio</h2> <p>The <strong>USRP X410</strong> serves as the flexible transceiver frontend with:</p> <ul> <li>Up to 400 MHz instantaneous bandwidth</li> <li>Four synchronized TX/RX channels</li> <li>10/1588 PTP synchronization</li> <li>Digital IF for integration with NVIDIA Aerial</li> </ul> <p>It supports:</p> <ul> <li>mmWave IF/baseband experimentation</li> <li>Real-time CSI acquisition</li> <li>Multi-subarray MIMO and wideband waveform prototyping</li> </ul> <h2 id="tmytek-mmwave-beamformers-bbox-ud-box-beamform-modules">TMYTEK mmWave Beamformers (BBox, UD-Box, Beamform Modules)</h2> <p>TMYTEK hardware provides programmable mmWave RF front-ends:</p> <ul> <li><strong>UD-Box</strong> for 24–32 GHz up/down-conversion</li> <li><strong>BBox One / BBox Lite</strong> beamforming arrays</li> <li>API-driven phase/gain control</li> <li>Rapid beam steering and codebook-based operation</li> </ul> <p>These modules enable:</p> <ul> <li>Hybrid or analog beamforming</li> <li>Electronic steering up to ±60°</li> <li>Multi-beam and multi-focus mmWave experimentation</li> </ul> <h2 id="digital-twin">Digital Twin</h2> <p>A full <strong>Digital Twin framework</strong> integrates high-fidelity electromagnetic simulation with the physical testbed. This enables reproducible channel modeling, data augmentation, and virtual-to-real RAN optimization.</p> <h3 id="remcom-wireless-insite--ray-tracing-propagation">Remcom Wireless InSite – Ray Tracing Propagation</h3> <p>Wireless InSite provides a large-scale propagation environment supporting:</p> <ul> <li>GPU-accelerated 3D ray tracing</li> <li>Detailed mmWave diffraction, reflection, and scattering</li> <li>Urban, indoor, and open-field scenario modeling</li> <li>Material-dependent loss and blockage effects</li> <li>Beam-level channel prediction</li> </ul> <h3 id="ansys-hfss-sbr--full-wave-em-modeling">ANSYS HFSS SBR+ – Full-Wave EM Modeling</h3> <p>HFSS SBR+ enables full-wave modeling of:</p> <ul> <li><strong>Antenna arrays</strong>, including TMYTEK beamformers</li> <li><strong>Reflectarrays</strong>, metasurfaces, and RIS</li> <li><strong>Realistic gain patterns</strong> for hybrid beamforming</li> <li>Complex EM interactions under mmWave frequencies</li> </ul> <h1 id="capabilities">Capabilities</h1> <h2 id="ai-enhanced-ran-intelligence">AI-Enhanced RAN Intelligence</h2> <ul> <li>Neural beam prediction and tracking</li> <li>AI-based MAC scheduling</li> <li>CSI-driven link adaptation models</li> <li>Blockage prediction and proactive beam switching</li> </ul> <h2 id="mmwave-phymac-research">mmWave PHY/MAC Research</h2> <ul> <li>Hybrid and digital beamforming</li> <li>Channel sounding and dataset generation</li> <li>Evaluation of mobility, rotation, and blockage</li> <li>5G NR waveform prototyping</li> </ul> <h2 id="flexible-ran-architecture">Flexible RAN Architecture</h2> <ul> <li>O-RAN 7.2 split between OAIBox and Aerial</li> <li>Multi-RU and multi-sector emulation</li> <li>Edge-cloud cooperative intelligence</li> </ul> <h2 id="isac-integrated-sensing-and-communication-extensions">ISAC (Integrated Sensing and Communication) Extensions</h2> <ul> <li>Joint radar–communication waveform experiments</li> <li>2D/3D angle estimation</li> <li>Passive sensing with GPU-accelerated FFT pipelines</li> </ul> <h2 id="digital-twindriven-insights">Digital Twin–Driven Insights</h2> <ul> <li>Predictive channel statistics and blockage maps</li> <li>Virtual scenario pre-testing</li> <li>Dataset augmentation for AI training</li> <li>Virtual beam codebook optimization</li> </ul>https://gustybear.github.io/facility/testbed_holosmartwe/Mon, 19 May 2025 04:14:54 -0800https://gustybear.github.io/facility/testbed_holosmartwe/<h1 id="executive-summary">Executive Summary</h1> <p>This lab-scale <strong>Holographic Beamforming Surface–Enabled Smart Wireless Environment testbed</strong> enables controlled experimentation on environment-aware and RIS-assisted mmWave propagation. Operating at <strong>28 GHz</strong>, the platform integrates a programmable <strong>reconfigurable intelligent surface (RIS)</strong>, <strong>active mmWave beamforming</strong>, and a flexible <strong>RF measurement backend</strong> to dynamically manipulate electromagnetic wavefronts at both the transmitter and environmental levels. The testbed supports experimental research on holographic beamforming, surface-assisted channel shaping, and smart wireless environments for future <strong>5G/6G</strong> and <strong>ISAC</strong> systems.</p> <h1 id="core-components">Core Components</h1> <h2 id="reconfigurable-intelligent-surface-ris">Reconfigurable Intelligent Surface (RIS)</h2> <p>A programmable <strong>RIS</strong> functions as a spatial electromagnetic aperture, enabling dynamic control of reflection phase and amplitude for wavefront shaping, beam redirection, and holographic focusing.</p> <h2 id="tmytek-bbox-one-mmwave-beamformer">TMYTEK BBox One mmWave Beamformer</h2> <p>The <strong>TMYTEK BBox One</strong> provides programmable beamforming at <strong>28 GHz</strong> with electronic phase and gain control, supporting rapid beam steering and codebook-based operation.</p> <h2 id="directive-mmwave-illumination">Directive mmWave Illumination</h2> <p>A <strong>28 GHz horn antenna</strong> delivers stable, high-gain illumination of the RIS and measurement region, enabling repeatable and well-characterized propagation experiments.</p> <h2 id="rf-switching-and-measurement">RF Switching and Measurement</h2> <p>A <strong>custom RF switch matrix</strong> and <strong>Keysight FieldFox microwave analyzer</strong> support flexible signal routing and wideband channel measurement for systematic RIS-assisted characterization.</p> <h2 id="spatial-probing">Spatial Probing</h2> <p>Calibrated <strong>monopole antennas</strong> mounted on precision positioning stages enable spatial channel sampling and beam profiling.</p> <h1 id="capabilities">Capabilities</h1> <h2 id="holographic-and-ris-assisted-beamforming">Holographic and RIS-Assisted Beamforming</h2> <ul> <li>Programmable wavefront synthesis and spatial focusing</li> <li>Environment-level beam steering and reflection control</li> </ul> <h2 id="mmwave-channel-characterization">mmWave Channel Characterization</h2> <ul> <li>Wideband channel response measurement</li> <li>Spatial field mapping and repeatable benchmarking</li> </ul> <h2 id="smart-wireless-environment-research">Smart Wireless Environment Research</h2> <ul> <li>Environment-aware propagation control</li> <li>Foundations for AI-driven and surface-assisted wireless systems</li> </ul> <h2 id="isac-oriented-extensions">ISAC-Oriented Extensions</h2> <ul> <li>Surface-assisted sensing and localization</li> <li>Joint communication–environment manipulation</li> </ul>https://gustybear.github.io/projects/vip_reflectarray_and_applications/Tue, 10 Dec 2024 00:00:00 -1000https://gustybear.github.io/projects/vip_reflectarray_and_applications/<hr> <h1 id="executive-summary">Executive Summary</h1> <p>Reflectarray present a paradigm shift in wireless communication and sensing in mmWave and sub-THz region by offering unprecedented control over the propagation environment. Traditional wireless systems are largely at the mercy of the channel, which can be severely impaired by obstacles, fading, and interference. Reflectarray, however, introduce a new degree of freedom by enabling programmable manipulation of the wireless channel. Through precise control of the reflection and refraction properties of an array of elements, reflectarray can be used to mitigate path loss, combat fading, null interference, and shape radiation patterns, which can be used to enhancing spectral efficiency, energy efficiency, and expanding coverage. This project aims to investigate the fundamental principles of reflectarray operation, develop novel reflectarray architectures and control algorithms, and explore their applications in a wide range of wireless communication, sensing, energy transfer, and security scenarios.</p> <hr> <h1 id="logistics">Logistics</h1> <ul> <li> <p><strong>CRN</strong></p> <table> <thead> <tr> <th>Semester</th> <th>ENGR196</th> <th>ENGR296</th> <th>ENGR396</th> <th>ECE496</th> </tr> </thead> <tbody> <tr> <td>Spring 2025</td> <td>TBD</td> <td>TBD</td> <td>TBD</td> <td>TBD</td> </tr> </tbody> </table> </li> <li> <p><strong>Personnel</strong></p> <table> <thead> <tr> <th>Advisor</th> <th>Office Hours</th> </tr> </thead> <tbody> <tr> <td><details class="spoiler " id="spoiler-0"> <summary class="cursor-pointer">Yao Zheng</summary> <div class="rounded-lg bg-neutral-50 dark:bg-neutral-800 p-2"> Email with &lsquo;&rsquo;[VIP RASRE]&rsquo;&rsquo; in the subject line. </div> </details></td> <td>See </td> </tr> </tbody> </table> </li> <li> <p><strong>Meeting</strong>:</p> <table> <thead> <tr> <th>Time</th> <th>Location</th> </tr> </thead> <tbody> <tr> <td>TBD</td> <td>HH488, Zoom</td> </tr> </tbody> </table> </li> <li> <p><strong>Workload</strong></p> <table> <thead> <tr> <th>ENGR196</th> <th>ENGR296</th> <th>ENGR396</th> <th>EE496<sup id="fnref:1"><a href="#fn:1" class="footnote-ref" role="doc-noteref">1</a></sup></th> <th>Deliverables<sup id="fnref:2"><a href="#fn:2" class="footnote-ref" role="doc-noteref">2</a></sup></th> </tr> </thead> <tbody> <tr> <td>$ \geq $ 3 H/W</td> <td>$ \geq $ 3 H/W</td> <td>$ \geq $ 6 H/W</td> <td>$ \geq $ 8 H/W</td> <td><details class="spoiler " id="spoiler-1"> <summary class="cursor-pointer">One per group</summary> <div class="rounded-lg bg-neutral-50 dark:bg-neutral-800 p-2"> Indicate the authors of the appropriate sections. </div> </details></td> </tr> </tbody> </table> </li> </ul> <hr> <h1 id="grading">Grading</h1> <ul> <li> <p><strong>General Breakdown</strong></p> <table> <thead> <tr> <th>Category</th> <th>Portion of Grade</th> </tr> </thead> <tbody> <tr> <td><details class="spoiler " id="spoiler-2"> <summary class="cursor-pointer">1- Quality of project work</summary> <div class="rounded-lg bg-neutral-50 dark:bg-neutral-800 p-2"> Engagement, pursuit of knowledge necessary for project, contributions to technical progress of project, (396 and 496: contributions to management of project). </div> </details></td> <td>35%</td> </tr> <tr> <td><details class="spoiler " id="spoiler-3"> <summary class="cursor-pointer">2- Documentation and records</summary> <div class="rounded-lg bg-neutral-50 dark:bg-neutral-800 p-2"> Design notebook, wiki documentation, presentations, Reports. </div> </details></td> <td>35%</td> </tr> <tr> <td><details class="spoiler " id="spoiler-4"> <summary class="cursor-pointer">3- Teamwork and interaction</summary> <div class="rounded-lg bg-neutral-50 dark:bg-neutral-800 p-2"> Attendance to meetings, contributions to team, peer evaluations, team presentations and reports </div> </details></td> <td>30%</td> </tr> </tbody> </table> </li> <li> <p><strong>Breakdown by Deliverable</strong></p> <table> <thead> <tr> <th>Deliverable</th> <th>ENGR 196/296/396</th> <th>EE496/499</th> <th>Applicable Categories</th> </tr> </thead> <tbody> <tr> <td>Project proposal report</td> <td>10%</td> <td>10%</td> <td>1,2,3</td> </tr> <tr> <td>Preliminary design review presentation</td> <td>15%</td> <td>20%</td> <td>1,2,3</td> </tr> <tr> <td>Design notebook check</td> <td>10%</td> <td>5%</td> <td>1,2</td> </tr> <tr> <td>VIP poster session presentation</td> <td>10%</td> <td>15%</td> <td>1,2,3</td> </tr> <tr> <td>Final report draft (proofed by peers)</td> <td>N/A</td> <td>N/A</td> <td>1,2,3</td> </tr> <tr> <td>Final recorded video presentation</td> <td>20%</td> <td>25%</td> <td>1,2,3</td> </tr> <tr> <td>Final report</td> <td>25%</td> <td>15%</td> <td>1,2,3</td> </tr> <tr> <td>Design notebook final check</td> <td>10%</td> <td>10%</td> <td>1,2</td> </tr> </tbody> </table> </li> <li> <p><strong>Cutoffs</strong></p> <table> <thead> <tr> <th>A-</th> <th>B-</th> <th>C-</th> </tr> </thead> <tbody> <tr> <td>70%</td> <td>50%</td> <td>30%</td> </tr> </tbody> </table> </li> </ul> <hr> <h1 id="iterations">Iterations</h1> <table> <thead> <tr> <th>SEMESTER</th> <th>TOPICS</th> <th>DOCUMENTS</th> </tr> </thead> <tbody> <tr> <td>Spring, 2025</td> <td>Designing 3.5GHz reflectarray with transistors</td> <td> </td> </tr> </tbody> </table> <hr> <div class="footnotes" role="doc-endnotes"> <hr> <ol> <li id="fn:1"> <p>This course adheres to UH Manoa W focus requirements and ECE Department requirements. So you are required to write 4,000 words or more throughout the semester, split between the proposal and the final report.&#160;<a href="#fnref:1" class="footnote-backref" role="doc-backlink">&#x21a9;&#xfe0e;</a></p> </li> <li id="fn:2"> <p>Reports should be uploaded to the Google Drive before the deadline. Late reports are subject to a minimum 15% reduction in grade. Presentation files (PowerPoint or PDF) should be uploaded to the Google Drive before or immediately after your presentation.&#160;<a href="#fnref:2" class="footnote-backref" role="doc-backlink">&#x21a9;&#xfe0e;</a></p> </li> </ol> </div>https://gustybear.github.io/teaching/course_ece602_2025_spring/Mon, 09 Dec 2024 10:07:39 -1000https://gustybear.github.io/teaching/course_ece602_2025_spring/<h1 id="executive-summary">Executive Summary</h1> <p>Design and evaluation of machine representations, techniques and algorithms for sorting, pattern processing, computational geometry, mathematical computations, and engineering applications. Introduction to computational issues of time, space, communication, and program correctness. Pre: 367 or consent.</p> <h1 id="logistics">Logistics</h1> <ul> <li> <p><strong>CRN</strong></p> <table> <thead> <tr> <th>ECE602 001</th> </tr> </thead> <tbody> <tr> <td>88856</td> </tr> </tbody> </table> </li> <li> <p><strong>Personnel</strong>:</p> <table> <thead> <tr> <th></th> <th></th> </tr> </thead> <tbody> <tr> <td>Lecturer: </td> <td>Office Hours: see </td> </tr> </tbody> </table> </li> <li> <p><strong>Format</strong>:</p> <table> <thead> <tr> <th>Lecture Time</th> <th>Lecture Location</th> <th>Textbook</th> <th>Quiz</th> <th>Assignment</th> </tr> </thead> <tbody> <tr> <td>MW 12:00pm-13:15pm</td> <td>Keller Hall 314/Zoom/Ad hoc</td> <td><em>Required</em>: An Introduction to the Analysis of Algorithms</td> <td>Individual</td> <td>Individual</td> </tr> <tr> <td></td> <td></td> <td><em>Required</em>: Analytic Combinatorics</td> <td></td> <td></td> </tr> </tbody> </table> </li> </ul> <h1 id="grading-policy">Grading Policy</h1> <p>&ndash; <strong>Breakdown</strong></p> <table> <thead> <tr> <th>Quiz &amp; Assignment</th> <th>Discussion &amp; Participation</th> </tr> </thead> <tbody> <tr> <td>80%</td> <td>20%</td> </tr> </tbody> </table> <ul> <li> <p><strong>Cutoffs</strong></p> <table> <thead> <tr> <th>A-</th> <th>B-</th> <th>C-</th> </tr> </thead> <tbody> <tr> <td>70%</td> <td>50%</td> <td>30%</td> </tr> </tbody> </table> </li> <li> <p><strong>Proscribed Conduct</strong>: Copying or otherwise cheating on homework, lab reports, or exam will result in a failing grade for the course. More details can be found at student conduct code policies, </p> </li> </ul> <h1 id="schedule">Schedule</h1> <table> <thead> <tr> <th>TIME</th> <th>TOPICS</th> <th>READING/HW/EXAM</th> <th>DEADLINE</th> </tr> </thead> <tbody> <tr> <td>Week 1 (1/13, 1/15)</td> <td>Analysis of Algorithms</td> <td> </td> <td>1/19, 11:59PM</td> </tr> <tr> <td>Week 2 (1/22)</td> <td>Recurrence Relations</td> <td> </td> <td>1/26, 11:59PM</td> </tr> <tr> <td>Week 3 (1/27, 1/29)</td> <td>Generating Functions</td> <td> </td> <td>2/2, 11:59PM</td> </tr> <tr> <td>Week 4 (2/3, 2/5)</td> <td>Asymptotic Approximations</td> <td> </td> <td>2/9, 11:59PM</td> </tr> <tr> <td>Week 5 (2/10, 2/12)</td> <td>Analytic Combinatorics</td> <td> </td> <td>2/18, 11:59PM</td> </tr> <tr> <td>Week 6 (2/19)</td> <td>Trees</td> <td> </td> <td>2/23, 11:59PM</td> </tr> <tr> <td>Week 7 (2/24, 2/26)</td> <td>Permutations</td> <td> </td> <td>3/2, 11:59PM</td> </tr> <tr> <td>Week 8 (3/3, 3/5)</td> <td>Strings and Tries</td> <td> </td> <td>3/9, 11:59PM</td> </tr> <tr> <td>Week 9 (3/10, 3/12)</td> <td>Words and Maps</td> <td> </td> <td>3/16, 11:59PM</td> </tr> <tr> <td>Spring Recess (3/17 - 3/21)</td> <td>&ndash;</td> <td>&ndash;</td> <td>&ndash;</td> </tr> <tr> <td>Week 10 (3/24, 3/26)</td> <td>Combinatorial Structures and OGFs</td> <td> </td> <td>3/30, 11:59PM</td> </tr> <tr> <td>Week 11 (3/31, 4/2)</td> <td>Labelled Structures and EGFs</td> <td> </td> <td>4/6, 11:59PM</td> </tr> <tr> <td>Week 12 (4/7, 4/9)</td> <td>Combinatorial Parameters and MGFs</td> <td> </td> <td>4/13, 11:59PM</td> </tr> <tr> <td>Week 13 (4/14, 4/16)</td> <td>Complex Analysis, Rational and Meromorphic Asymptotics</td> <td> </td> <td>4/20, 11:59PM</td> </tr> <tr> <td>Week 14 (4/21, 4/23)</td> <td>Applications of Rational and Meromorphic Asymptotics</td> <td> </td> <td>4/27, 11:59PM</td> </tr> <tr> <td>Week 15 (4/28, 4/30)</td> <td>Singularity Analysis</td> <td> </td> <td>5/4, 11:59PM</td> </tr> <tr> <td>Week 16 (5/5, 5/7)</td> <td>Applications of Singularity Analysis</td> <td> </td> <td>5/11, 11:59PM</td> </tr> <tr> <td>Week 17 (5/12，5/14)</td> <td>Saddle Point Asymptotics</td> <td> </td> <td>5/18, 11:59PM</td> </tr> </tbody> </table>https://gustybear.github.io/projects/vip_mmwave_comm_and_sensg_integtn/Mon, 09 Dec 2024 00:00:00 -1000https://gustybear.github.io/projects/vip_mmwave_comm_and_sensg_integtn/<hr> <h1 id="executive-summary">Executive Summary</h1> <p>Imagine a future where our wireless devices do more than just talk to each other. They can also &ldquo;see&rdquo; and &ldquo;feel&rdquo; their surroundings, gathering valuable information about the environment. This is the promise of Integrated Sensing and Communication (ISAC), and millimeter-wave (mmWave) frequencies are the key to unlocking its full potential. Leveraging the abundant bandwidth at mmWave band (30GHz ~ 300GHz), which are currently being explored for future generation of wireless communication systems (cellular and Wi-Fi), radar-like precise and multi-target detection can be implemented, with applications in drone detection, physiological monitoring, smart RAN etc. This VIP project, therefore, see to develop new techniques and technologies to make ISAC a reality at mmWave frequencies.</p> <hr> <h1 id="logistics">Logistics</h1> <ul> <li> <p><strong>CRN</strong></p> <table> <thead> <tr> <th>Semester</th> <th>ENGR196</th> <th>ENGR296</th> <th>ENGR396</th> <th>ECE496</th> </tr> </thead> <tbody> <tr> <td>Spring 2022</td> <td>90034</td> <td>90035</td> <td>90036</td> <td>85708</td> </tr> <tr> <td>Fall 2022</td> <td>80343</td> <td>80344</td> <td>80345</td> <td>75344</td> </tr> <tr> <td>Spring 2025</td> <td>89726</td> <td>86653</td> <td>86654</td> <td>88158</td> </tr> </tbody> </table> </li> <li> <p><strong>Personnel</strong></p> <table> <thead> <tr> <th>Advisor</th> <th>Office Hours</th> </tr> </thead> <tbody> <tr> <td><details class="spoiler " id="spoiler-0"> <summary class="cursor-pointer">Yao Zheng</summary> <div class="rounded-lg bg-neutral-50 dark:bg-neutral-800 p-2"> Email with &lsquo;&rsquo;[VIP MONET]&rsquo;&rsquo; in the subject line. </div> </details></td> <td>See </td> </tr> </tbody> </table> </li> <li> <p><strong>Meeting</strong>:</p> <table> <thead> <tr> <th>Time</th> <th>Location</th> </tr> </thead> <tbody> <tr> <td>TBD</td> <td>HH488, Zoom</td> </tr> </tbody> </table> </li> <li> <p><strong>Workload</strong></p> <table> <thead> <tr> <th>ENGR196</th> <th>ENGR296</th> <th>ENGR396</th> <th>EE496<sup id="fnref:1"><a href="#fn:1" class="footnote-ref" role="doc-noteref">1</a></sup></th> <th>Deliverables<sup id="fnref:2"><a href="#fn:2" class="footnote-ref" role="doc-noteref">2</a></sup></th> </tr> </thead> <tbody> <tr> <td>$ \geq $ 3 H/W</td> <td>$ \geq $ 3 H/W</td> <td>$ \geq $ 6 H/W</td> <td>$ \geq $ 8 H/W</td> <td><details class="spoiler " id="spoiler-1"> <summary class="cursor-pointer">One per group</summary> <div class="rounded-lg bg-neutral-50 dark:bg-neutral-800 p-2"> Indicate the authors of the appropriate sections. </div> </details></td> </tr> </tbody> </table> </li> </ul> <hr> <h1 id="grading">Grading</h1> <ul> <li> <p><strong>General Breakdown</strong></p> <table> <thead> <tr> <th>Category</th> <th>Portion of Grade</th> </tr> </thead> <tbody> <tr> <td><details class="spoiler " id="spoiler-2"> <summary class="cursor-pointer">1- Quality of project work</summary> <div class="rounded-lg bg-neutral-50 dark:bg-neutral-800 p-2"> Engagement, pursuit of knowledge necessary for project, contributions to technical progress of project, (396 and 496: contributions to management of project). </div> </details></td> <td>35%</td> </tr> <tr> <td><details class="spoiler " id="spoiler-3"> <summary class="cursor-pointer">2- Documentation and records</summary> <div class="rounded-lg bg-neutral-50 dark:bg-neutral-800 p-2"> Design notebook, wiki documentation, presentations, Reports. </div> </details></td> <td>35%</td> </tr> <tr> <td><details class="spoiler " id="spoiler-4"> <summary class="cursor-pointer">3- Teamwork and interaction</summary> <div class="rounded-lg bg-neutral-50 dark:bg-neutral-800 p-2"> Attendance to meetings, contributions to team, peer evaluations, team presentations and reports </div> </details></td> <td>30%</td> </tr> </tbody> </table> </li> <li> <p><strong>Breakdown by Deliverable</strong></p> <table> <thead> <tr> <th>Deliverable</th> <th>ENGR 196/296/396</th> <th>EE496/499</th> <th>Applicable Categories</th> </tr> </thead> <tbody> <tr> <td>Project proposal report</td> <td>10%</td> <td>10%</td> <td>1,2,3</td> </tr> <tr> <td>Preliminary design review presentation</td> <td>15%</td> <td>20%</td> <td>1,2,3</td> </tr> <tr> <td>Design notebook check</td> <td>10%</td> <td>5%</td> <td>1,2</td> </tr> <tr> <td>VIP poster session presentation</td> <td>10%</td> <td>15%</td> <td>1,2,3</td> </tr> <tr> <td>Final report draft (proofed by peers)</td> <td>N/A</td> <td>N/A</td> <td>1,2,3</td> </tr> <tr> <td>Final recorded video presentation</td> <td>20%</td> <td>25%</td> <td>1,2,3</td> </tr> <tr> <td>Final report</td> <td>25%</td> <td>15%</td> <td>1,2,3</td> </tr> <tr> <td>Design notebook final check</td> <td>10%</td> <td>10%</td> <td>1,2</td> </tr> </tbody> </table> </li> <li> <p><strong>Cutoffs</strong></p> <table> <thead> <tr> <th>A-</th> <th>B-</th> <th>C-</th> </tr> </thead> <tbody> <tr> <td>70%</td> <td>50%</td> <td>30%</td> </tr> </tbody> </table> </li> </ul> <hr> <h1 id="iterations">Iterations</h1> <table> <thead> <tr> <th>SEMESTER</th> <th>TOPICS</th> <th>DOCUMENTS</th> </tr> </thead> <tbody> <tr> <td>Spring, 2025</td> <td>Setup an O-RAN based ISAC System at FR2 band</td> <td> </td> </tr> </tbody> </table> <hr> <div class="footnotes" role="doc-endnotes"> <hr> <ol> <li id="fn:1"> <p>This course adheres to UH Manoa W focus requirements and ECE Department requirements. So you are required to write 4,000 words or more throughout the semester, split between the proposal and the final report.&#160;<a href="#fnref:1" class="footnote-backref" role="doc-backlink">&#x21a9;&#xfe0e;</a></p> </li> <li id="fn:2"> <p>Reports should be uploaded to the Google Drive before the deadline. Late reports are subject to a minimum 15% reduction in grade. Presentation files (PowerPoint or PDF) should be uploaded to the Google Drive before or immediately after your presentation.&#160;<a href="#fnref:2" class="footnote-backref" role="doc-backlink">&#x21a9;&#xfe0e;</a></p> </li> </ol> </div>https://gustybear.github.io/grant/2024_nsf_cise_oac_cybertraining/Sat, 07 Dec 2024 00:00:00 -1000https://gustybear.github.io/grant/2024_nsf_cise_oac_cybertraining/<h1 id="executive-summary">Executive Summary</h1> <p>The national spectrum strategy emphasizes spectrum infrastructure and workforce development in the full range of operational, technical, and policy roles to establish U.S. leadership in future-generation (FutureG) wireless techniques. However, achieving the strategic goal of spectrum workforce development involves non-trivial challenges, including limited capacity and availability of advanced wireless cyberinfrastructure (CI) and specialized tools, skills, and knowledge sets to develop, manage, and utilize wireless CI. This project responds to the national call for spectrum workforce development and trains the FutureG workforce by extending their research abilities through a novel ?immersed? approach to promote project-based hands-on learning. An open radio access network (O-RAN) wireless testbed will be utilized to allow trainees to practice the operation and programming of FutureG wireless instruments and develop wireless applications. Cloud-based access to the O-RAN testbed and a suite of template projects will be offered to address the technical barriers and complexities of wireless CI access. New course modules, vertical-integration projects, and summer courses will be offered to both student trainees and existing students at PIs? institutions. The training materials will be disseminated through public platforms including the ACCESS Knowledge Base to train a broader and diverse group of wireless professionals.</p> <p>Specifically, this pilot project includes three tasks: Task 1 is to extend the abilities of wireless professionals with a publicly and remotely accessible wireless CI based on the O-RAN architecture. The CI integrates advanced RF and computing instruments including NI USRP X410 and 2974 supporting sub-6G Hz to mmWave bands, TMYTEK mmWave BBox at 28GHz and 39GHz, phrased-array beamformer and reconfigurable intelligent surface (RIS), and a GPU server with 8x NVIDIA RTX A5000. Task 2 aims at training wireless professionals with the development of AI/ML tools and services to allow automatic wireless data collection and intelligent analytics. Based on this unique CI, Task 3 develops a suite of hands-on projects to train and educate wireless professionals under different scenarios ranging from basic wireless instrument operation to advanced wireless research.</p>https://gustybear.github.io/publication/sourav-occupancy-estimation-blurred-2024/Sat, 08 Jun 2024 00:00:00 +0000https://gustybear.github.io/publication/sourav-occupancy-estimation-blurred-2024/https://gustybear.github.io/publication/ishmael-heart-signal-sensing-2024/Mon, 01 Jan 2024 00:00:00 +0000https://gustybear.github.io/publication/ishmael-heart-signal-sensing-2024/https://gustybear.github.io/publication/islam-cross-modality-continuous-user-2023/Tue, 15 Aug 2023 00:00:00 +0000https://gustybear.github.io/publication/islam-cross-modality-continuous-user-2023/https://gustybear.github.io/publication/dacuycuy-critical-element-first-2023/Sun, 01 Jan 2023 00:00:00 +0000https://gustybear.github.io/publication/dacuycuy-critical-element-first-2023/https://gustybear.github.io/publication/landika-poster-abstract-obstructionfree-2023/Sun, 01 Jan 2023 00:00:00 +0000https://gustybear.github.io/publication/landika-poster-abstract-obstructionfree-2023/https://gustybear.github.io/publication/ishmael-physiological-motion-sensing-2022/Wed, 14 Dec 2022 00:00:00 +0000https://gustybear.github.io/publication/ishmael-physiological-motion-sensing-2022/https://gustybear.github.io/teaching/course_ece660_2022_fall/Thu, 18 Aug 2022 10:07:39 -1000https://gustybear.github.io/teaching/course_ece660_2022_fall/<h1 id="executive-summary">Executive Summary</h1> <p>Fundamental understanding of computer architecture is key to hardware and processor design, compilers, operating systems, and high performance programming. This course explores computer architectures and design techniques of modern microprocessors at various scales. The focus will be given to architectures that can exploit different forms of parallelism, whether they be implicit or explicit, to improve performance. A selection of topics covered by the course include multi-issue superscalar processors, out-of-order processors, Very Long Instruction Word (VLIW) processors, advanced caching, multiprocessor systems, and parallel programming.</p> <h1 id="logistics">Logistics</h1> <ul> <li> <p><strong>CRN</strong></p> <table> <thead> <tr> <th>EE660 001</th> </tr> </thead> <tbody> <tr> <td>76915</td> </tr> </tbody> </table> </li> <li> <p><strong>Personnel</strong>:</p> <table> <thead> <tr> <th></th> <th></th> </tr> </thead> <tbody> <tr> <td>Lecturer: </td> <td>Office Hours: see </td> </tr> </tbody> </table> </li> <li> <p><strong>Format</strong>:</p> <table> <thead> <tr> <th>Lecture Time</th> <th>Lecture Location</th> <th>Textbook</th> <th>Quiz</th> <th>Assignment</th> </tr> </thead> <tbody> <tr> <td>MW 13:30pm-14:45pm</td> <td>Holmes Hall 389</td> <td><em>Required</em>: Computer Architecture: A Quantitative Approach (5th Edition) (PH11)</td> <td>Individual</td> <td>Team</td> </tr> <tr> <td></td> <td></td> <td><em>Optional</em>: Modern Processor Design: Fundamentals of Supperscalar Processors (SL13)</td> <td></td> <td></td> </tr> </tbody> </table> </li> </ul> <h1 id="grading-policy">Grading Policy</h1> <p>&ndash; <strong>Breakdown</strong></p> <table> <thead> <tr> <th>Quiz &amp; Assignment</th> <th>Discussion &amp; Participation</th> </tr> </thead> <tbody> <tr> <td>80%</td> <td>20%</td> </tr> </tbody> </table> <ul> <li> <p><strong>Cutoffs</strong></p> <table> <thead> <tr> <th>A-</th> <th>B-</th> <th>C-</th> </tr> </thead> <tbody> <tr> <td>70%</td> <td>50%</td> <td>30%</td> </tr> </tbody> </table> </li> <li> <p><strong>Proscribed Conduct</strong>: Copying or otherwise cheating on homework, lab reports, or exam will result in a failing grade for the course. More details can be found at student conduct code policies, </p> </li> </ul> <h1 id="schedule">Schedule</h1> <table> <thead> <tr> <th>TIME</th> <th>TOPIC</th> <th>LECTURE</th> <th>READING</th> <th>Quiz</th> <th>ASSG</th> <th>DUE</th> </tr> </thead> <tbody> <tr> <td>Week 01 (Aug 22, 24)</td> <td>Introduction to Computer Architecture</td> <td> </td> <td>PH11: Chapter 1, C1-C16.</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 02 (Aug 29, 31)</td> <td>Review: Pipeline</td> <td> </td> <td>PH11: C26, C30-C58, C61-C81.</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 03 (Sep 7)</td> <td>Review: Pipeline cont.</td> <td>&ndash;</td> <td>&ndash;</td> <td></td> <td></td> <td></td> </tr> <tr> <td>Week 04 (Sep 12, 14)</td> <td>Review: Cache</td> <td> </td> <td>PH11: B1-B40, SL13:177-209.</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 05 (Sep 19, 21)</td> <td>Superscalar Pipelines</td> <td> </td> <td>PH11:C43-C61, SL13:217-236</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 06 (Sep 26, 28)</td> <td>Out-of-Order Processors</td> <td> </td> <td>SL13:338-357</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 07 (Oct 3, 5)</td> <td>Branch, Register Renaming, and Memory Disambiguation</td> <td> </td> <td>SL13:237-273.</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 08 (Oct 10, 12)</td> <td>VLIW Introduction</td> <td> </td> <td>PH11: 192-196, Appendix H</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 09 (Oct 17, 19)</td> <td>Branch Prediction</td> <td> </td> <td>PH11: C26-C30, SL13:219-237, 453-508</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 10 (Oct 24, 26)</td> <td>Advanced Cache Optimizations</td> <td> </td> <td>PH11:71-105</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 11 (Oct 31, Nov 02)</td> <td>Memory Protection</td> <td> </td> <td>PH11 B41-B67, 105-144</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 12 (Nov 07, 09)</td> <td>Vector Processors and GPUs</td> <td> </td> <td>PH11:282-357</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 13 (Nov 14, 16)</td> <td>Multithreading</td> <td> </td> <td>PH11:221-259</td> <td></td> <td></td> <td></td> </tr> <tr> <td>Week 14 (Nov 21, 23)</td> <td>Parallel Programming and Small Multiprocessors</td> <td> </td> <td>PH11:377-400, 343-378</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 15 (Nov 28, 30)</td> <td>Interconnection Network</td> <td> </td> <td>PH11:Appendix F</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 16 (Dec 05, 07)</td> <td>Large Multiprocessors (Directory Protocols)</td> <td> </td> <td>PH11:378-386, 400-429</td> <td>&ndash;</td> <td></td> <td></td> </tr> <tr> <td>Week 17 (Dec 12, 16)</td> <td>Elective Topic</td> <td>&ndash;</td> <td>&ndash;</td> <td>&ndash;</td> <td></td> <td></td> </tr> </tbody> </table>https://gustybear.github.io/grant/2022_dod_niwc_jbphh_5g_irs/Wed, 25 May 2022 00:00:00 -1000https://gustybear.github.io/grant/2022_dod_niwc_jbphh_5g_irs/<h1 id="executive-summary">Executive Summary</h1> <p>To improve Mission Capable (MC) and Aircraft Availability (AA) rates, military aircraft require regular maintenance to ensure flight readiness. When aircraft are on the ground and/or in hangars, the signal between onboard radio systems and ground base stations can be subpar due to undesigned antenna angles as well as blockages by aircrafts’ hulls and/or hangar walls, therefore, causing difficulties for in-situ communication and maintenance. To support 5G/B5G aircraft maintenance and mission readiness use cases, the Joint Base Pearl Harbor-Hickam (JBPHH) 5G initiative is upgrading hangars to support 5G Ultra-Wideband (UW) communication. Typical base stations at these bands may leverage massive antenna arrays to form directional signal beams pointing line-of-sight (LoS) toward receivers, hence amplifying the receive signal strength (RSS) and improving the signal-to-noise ratio (SNR). However, such LoS communication links can have coverage gaps due to the aforementioned challenges. For example, aircraft can create 5G dead zones (e.g. shadowing) for LoS small cells in hangars. Thus, there is a need for beyond LoS signal propagation to increase 5G signal coverage in aircraft maintenance environments.</p> <p>Naval Information Warfare Center Pacific (NIWC Pacific) will provide project oversight and support to the University of Hawaiʻi at Mānoa (UHM) to demonstrate improved 5G signal coverage using beam-steering Intelligent Reflecting Surfaces (IRS). Our approach to improve signal coverage uses the electrical actuation of liquid metal (LM) to modify signal reflection and thus reconfigure the gain and phase of an IRS to steer a 5G signal between a transmitter and receiver. In Year 1, we will demonstrate increased 5G band 78 (3.5 GHz) small-cell signal coverage with the proposed IRS and accompanying design control software and algorithms. We will also design an IRS for 5G band 260 (39 GHz). In an optional Year 2, we will demonstrate increased 5G band 260 small-cell coverage by creating an IRS optimized for mm-wave signals. We will also show that the IRS’s link-selection properties can enable multi-user multiple-input multiple-output (MU-MIMO) communication for concurrent data transmissions.</p>https://gustybear.github.io/publication/zhang-interface-based-side-channel-2024/Fri, 01 Apr 2022 00:00:00 +0000https://gustybear.github.io/publication/zhang-interface-based-side-channel-2024/https://gustybear.github.io/publication/ishmael-phase-correlation-single-2021/Thu, 20 Jan 2022 00:00:00 +0000https://gustybear.github.io/publication/ishmael-phase-correlation-single-2021/https://gustybear.github.io/publication/zheng-insider-resistant-context-based-pairing-2021/Tue, 07 Dec 2021 00:00:00 +0000https://gustybear.github.io/publication/zheng-insider-resistant-context-based-pairing-2021/https://gustybear.github.io/teaching/course_ee693e_2021_fall/Mon, 02 Aug 2021 10:07:39 -1000https://gustybear.github.io/teaching/course_ee693e_2021_fall/<h1 id="executive-summary">Executive Summary</h1> <p>This course focuses on selected research topics in wireless communication and sensing and is intended for undergraduate, master, and doctoral students who are interested in this field of study. At the end of this course, students will have a in-depth knowledge of the state-of-the-art and open problems, thus enhancing their potential to do research or pursue a career in this rapidly developing area. this course is structured as a research seminar and laboratory where research papers from leading conferences &amp; journals will be presented by the instructor and students. Main topics of this iteration include the study the connections between telemedicine and IoT, mobile sensing, augmented reality, 5G, edge computing, cloud computing, and 3D-printing.</p> <h1 id="logistics">Logistics</h1> <ul> <li> <p><strong>CRN</strong></p> <table> <thead> <tr> <th>EE693e</th> </tr> </thead> <tbody> <tr> <td>85304</td> </tr> </tbody> </table> </li> <li> <p><strong>Personnel</strong>:</p> <table> <thead> <tr> <th></th> <th></th> </tr> </thead> <tbody> <tr> <td>Lecturer: </td> <td>Overview the area of study</td> </tr> <tr> <td>Presenter<sup id="fnref:1"><a href="#fn:1" class="footnote-ref" role="doc-noteref">1</a></sup>: students</td> <td>Give presenation and written report of the given paper</td> </tr> <tr> <td>Audience<sup id="fnref:2"><a href="#fn:2" class="footnote-ref" role="doc-noteref">2</a></sup>: students</td> <td>Discuss the given paper</td> </tr> </tbody> </table> </li> <li> <p><strong>Format</strong>:</p> <table> <thead> <tr> <th>Lecture/Presentation Time</th> <th>Lecture/Presenatation Location</th> <th>Textbook</th> <th>Persentation</th> <th>Report</th> </tr> </thead> <tbody> <tr> <td>MW 9:00am-10:15am</td> <td> </td> <td>See </td> <td>Group</td> <td>Group</td> </tr> </tbody> </table> </li> </ul> <h1 id="grading-policy">Grading Policy</h1> <table> <thead> <tr> <th>Presentations</th> <th>Reports</th> <th>Discussion</th> </tr> </thead> <tbody> <tr> <td>40%</td> <td>40%</td> <td>20%</td> </tr> </tbody> </table> <ul> <li> <p><strong>Cutoffs</strong></p> <table> <thead> <tr> <th>A-</th> <th>B-</th> <th>C-</th> </tr> </thead> <tbody> <tr> <td>70%</td> <td>50%</td> <td>30%</td> </tr> </tbody> </table> </li> <li> <p><strong>Proscribed Conduct</strong>: Copying or otherwise cheating on homework, lab reports, or exam will result in a failing grade for the course. More details can be found at student conduct code policies, </p> </li> </ul> <h1 id="Schedule">Schedule</h1> <table> <thead> <tr> <th>TIME</th> <th>TOPIC</th> <th>PAPER/NOTES</th> <th>REPORT</th> <th>DUE</th> </tr> </thead> <tbody> <tr> <td>Week 01 ( )</td> <td>Logistic, Telemedicine Overview</td> <td> </td> <td>NA</td> <td>NA</td> </tr> <tr> <td>Week 02 ( , )</td> <td>Student Presentations</td> <td> , </td> <td> </td> <td>11:59 PM, Sep 12</td> </tr> <tr> <td>Week 03 ( )</td> <td>Telemedicine and Internet of Things</td> <td> </td> <td>NA</td> <td>NA</td> </tr> <tr> <td>Week 04 ( , )</td> <td>Student Presentations</td> <td> , </td> <td> </td> <td>11:59 PM, Sep 26</td> </tr> <tr> <td>Week 05 ( , )</td> <td>Telemedicine and Wireless Sensing</td> <td> , </td> <td>NA</td> <td>NA</td> </tr> <tr> <td>Week 06 ( , )</td> <td>Student Presentations</td> <td> , </td> <td> </td> <td>11:59 PM, Oct 12</td> </tr> <tr> <td>Week 07 ( , )</td> <td>Telemedicine and AR/VR</td> <td> , </td> <td>NA</td> <td>NA</td> </tr> <tr> <td>Week 08/09 ( , )</td> <td>Student Presentations</td> <td> , </td> <td> </td> <td>11:59 PM, Oct 24</td> </tr> <tr> <td>Week 09 ( )</td> <td>Telemedicine and 5G</td> <td> </td> <td>NA</td> <td>NA</td> </tr> <tr> <td>Week 10 ( , )</td> <td>Student Presentations</td> <td> , </td> <td> </td> <td>11:59 PM, Nov 07</td> </tr> <tr> <td>Week 11 ( , )</td> <td>Telemedicine and Edge Computing</td> <td> , </td> <td>NA</td> <td>NA</td> </tr> <tr> <td>Week 12 ( , )</td> <td>Student Presentations</td> <td> , </td> <td> </td> <td>11:59 PM, Nov 21</td> </tr> <tr> <td>Week 13 ( , )</td> <td>Telemedicine and Cloud Computing</td> <td> , </td> <td>NA</td> <td>NA</td> </tr> <tr> <td>Week 14 ( , )</td> <td>Student Presentations</td> <td> , </td> <td>&ndash;</td> <td>11:59 PM, Nov 05</td> </tr> <tr> <td>Week 15 ( , [Dec 01][recording 1201 url])</td> <td>Telemedicine and 3D-Printing</td> <td> , </td> <td>NA</td> <td>NA</td> </tr> <tr> <td>Week 16 ( , )</td> <td>Student Presentations</td> <td> , </td> <td>&ndash;</td> <td>11:59 PM, Dec 19</td> </tr> <tr> <td>Week 17</td> <td>Conclusion</td> <td>&ndash;</td> <td>NA</td> <td>NA</td> </tr> </tbody> </table> <h2 id="footnotes">Footnotes</h2> <div class="footnotes" role="doc-endnotes"> <hr> <ol> <li id="fn:1"> <p>Students may work in teams of two or three. each team will be assigned with one paper every other week. each team needs to complete two tasks on each paper: (1) give a in-depth presentation (60 min) and answer all the questions during the q&amp;a (15 min); (2) write a one-page (excluding citations) summary of the paper (in ieee conference format).&#160;<a href="#fnref:1" class="footnote-backref" role="doc-backlink">&#x21a9;&#xfe0e;</a></p> </li> <li id="fn:2"> <p>Students must work alone and complete the following tasks for each presentation: (1) prepare at least one relevent question for the presenter; (3) grade the presenter&rsquo;s presentation and report.&#160;<a href="#fnref:2" class="footnote-backref" role="doc-backlink">&#x21a9;&#xfe0e;</a></p> </li> </ol> </div>https://gustybear.github.io/publication/lubecke-identification-covid-19-type-2021/Fri, 30 Apr 2021 00:00:00 +0000https://gustybear.github.io/publication/lubecke-identification-covid-19-type-2021/https://gustybear.github.io/publication/paryavi-machine-vision-tools-2021/Fri, 02 Apr 2021 00:00:00 +0000https://gustybear.github.io/publication/paryavi-machine-vision-tools-2021/https://gustybear.github.io/teaching/course_ee693e_2020_fall/Sun, 23 Aug 2020 20:07:39 -1000https://gustybear.github.io/teaching/course_ee693e_2020_fall/<hr> <h2 id="executive-summary">Executive Summary</h2> <p>this course focuses on selected research topics of current interest in wireless security and is intended for undergraduate, master, or doctoral students who are interested in wireless security. at the end of this course, students will have a in-depth knowledge of the state-of-the-art and open problems in wireless security, thus enhancing their potential to do research or pursue a career in this rapidly developing area. this course is structured as a research seminar and laboratory where research papers from leading conferences &amp; journals will be presented by the instructor and students. main topics of interests include: pairing, authentication, access control, wireless sensing and localization, jamming and anti-jamming, security analysis of wireless applications, hardware/firmware, side-channel analysis, IoT privacy, wireless fingerprinting, location privacy, and security in future cellular networks.</p> <hr> <h2 id="textbook">Textbook</h2> <ul> <li>required: , by acm. </li> </ul> <hr> <h2 id="logistics">Logistics</h2> <ul> <li> <p><em>lecturer</em>: et al.</p> </li> <li> <p><em>lecture</em>: mondays wednesday 9:00am-10:15am, virtual via .</p> </li> <li> <p><em>discussion</em>: virtual via .</p> </li> <li> <p><em>office hours</em>: schedule it .</p> </li> <li> <p><em>laboratory hours</em>: schedule it .</p> </li> </ul> <hr> <h2 id="policies">Policies</h2> <ul> <li><em>presenter</em>: you may work in teams of two or three. each team will be assigned with two topics (four papers). each team needs to complete two tasks on each paper: (1) give a in-depth presentation (60 min) and answer all the questions during the q&amp;a (15 min); (2) write a one-page (excluding citations) summary of the paper (in ieee conference format).</li> <li><em>audience</em>: you must work alone and complete the following tasks for each presentation: (1) watch the conference presentation that accompanies the paper; (2) prepare at least one relevent question for the presenter; (3) grade the presenter&rsquo;s presentation and report.</li> </ul> <hr> <h2 id="schedule">Schedule</h2> <table> <thead> <tr> <th>time</th> <th>lecture/presentations</th> <th>presenter</th> <th>papers</th> <th>video/slides</th> <th>report</th> </tr> </thead> <tbody> <tr> <td>Week 01 (Aug 24, 26)</td> <td>Course logistic</td> <td>Yao Zheng</td> <td>&mdash;</td> <td>&mdash;</td> <td>&mdash;</td> </tr> <tr> <td>Week 02 (Aug 31, Sep 02)</td> <td>Mobile payments and fraud</td> <td>Alvin Yang, Thomas Yang</td> <td> , </td> <td> , </td> <td> </td> </tr> <tr> <td>Week 03 (Sep 09)</td> <td>NO CLASS</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Week 04 (Sep 14, 16)</td> <td>Wireless localization and security</td> <td>Samson Aggelopoulos, Changlong Wu</td> <td> , </td> <td> , </td> <td> </td> </tr> <tr> <td>Week 05 (Sep 21, 23)</td> <td>Jamming and anti-jamming</td> <td>Grant A. Stankaitis, Japhet J. Ye</td> <td> , </td> <td> , </td> <td> </td> </tr> <tr> <td>Week 06 (Sep 28, 30)</td> <td>Mobile app security</td> <td>Dawei Yang, Matthew W. Sahara</td> <td> , </td> <td> , </td> <td> </td> </tr> <tr> <td>Week 07 (Oct 05, 07)</td> <td>Physical-layer security</td> <td>Samson Aggelopoulos, Noha M. Mohammed</td> <td> , </td> <td> </td> <td> </td> </tr> <tr> <td>Week 08 (Oct 12, 14)</td> <td>Hardware, firmware, and side-channel</td> <td>Alvin Yang, Japhet J. Ye</td> <td> , </td> <td> , </td> <td> </td> </tr> <tr> <td>Week 09 (Oct 19, 21)</td> <td>Wireless fingerprints</td> <td>Brian Z. Lu, Matthew W. Sahara</td> <td> , </td> <td> , </td> <td> </td> </tr> <tr> <td>Week 10 (Oct 26, 28)</td> <td>Location privacy</td> <td>Grant A. Stankaitis, Changlong Wu</td> <td> , </td> <td> , </td> <td> </td> </tr> <tr> <td>Week 11 (Nov 02, 04)</td> <td>Privacy risks and protection in IoT</td> <td>Brian Z. Lu, Noha M. Mohammed</td> <td> , </td> <td> , </td> <td> </td> </tr> <tr> <td>Week 12 (Nov 09)</td> <td>NO CLASS</td> <td></td> <td></td> <td></td> <td></td> </tr> <tr> <td>Week 13 (Nov 16, 18)</td> <td>Pairing and access control</td> <td>Dawei Yang, Thomas Yang</td> <td> , </td> <td> , </td> <td> </td> </tr> <tr> <td>Week 14 (Nov 23, 25)</td> <td>Wireless sensing and authentication</td> <td>Yao Zheng</td> <td> , </td> <td> , </td> <td></td> </tr> <tr> <td>Week 15 (Nov 30, Dec 02)</td> <td>Security in 4G/LTE</td> <td>Yao Zheng</td> <td> , </td> <td> , </td> <td></td> </tr> <tr> <td>Week 16 (Dec 07, 09)</td> <td>Security in 5G</td> <td>Yao Zheng</td> <td> , </td> <td> , </td> <td></td> </tr> </tbody> </table> <hr> <h2 id="acknowledgement">Acknowledgement</h2> <p>This course is developed with the materials provided by ACM WiSec 2020, and the supports of University of Hawaii at Manoa Coronavirus Aid, Relief and Economic Security (CARES) grant, NSF grants DGE-1662487, CNS-1948568.</p>https://gustybear.github.io/publication/melcher-i-jam-channel-randomization-2020/Thu, 09 Jul 2020 00:00:00 +0000https://gustybear.github.io/publication/melcher-i-jam-channel-randomization-2020/https://gustybear.github.io/publication/islam-radar-based-non-contact-continuous-2020/Wed, 01 Jul 2020 00:00:00 +0000https://gustybear.github.io/publication/islam-radar-based-non-contact-continuous-2020/https://gustybear.github.io/grant/2020_nsf_cise_nets_crii/Fri, 01 May 2020 00:00:00 -1000https://gustybear.github.io/grant/2020_nsf_cise_nets_crii/<h1 id="executive-summary">Executive Summary</h1> <p>The growing data resolution in remote sensing spurs the adoption of millimeter-wave (mmWave) communication modules on energy-harvesting devices to increase the data delivery bandwidth. The energy conditions on these devices are not always satisfiable to initiate or maintain the mmWave links and require systems to be capable of anticipating communication failures and take preemptive actions to minimize energy expenditures. Fortunately, the environmental information provided by remote sensors contains sufficient knowledge to enable the design of such systems. The goal of this project is to develop algorithms and tools to exploit this information and augment the solar-harvesting remote invasive species monitoring system in the State of Hawaii with mmWave data delivery capability. The work in this project will enable researchers, industry, and students to realize high bandwidth real-time remote sensing with power-constrained devices in real-world applications. The results of this research will impact fields across scientific, industrial, and military interests, including agriculture, ecology, meteorology, infrastructure, and public utility monitoring, etc., where timely communication of high-resolution sensory data is essential.</p> <p>The fundamental intuition of the proposed approach is that environmental factors, such as weather conditions, signal blockages, can be recognized via the inherent capability or interactions between the remote sensors. Knowledge of these factors can be utilized to optimize device awakening, beam scanning, and signal amplification, etc., at the physical layer. Three complimentary research thrusts are pursued: 1) extracting the correlation between solar harvesting conditions and mmWave signal attenuations; developing models and circuits to estimate the mmWave signal attenuations at specific solar conditions; 2) designing a distributed sensing architecture to detect mmWave beam blockage and accelerate beam alignment, by exploiting the low-power decimeter band communication implemented by the existing system; 3) formulating and solving a constrained route placement problem for an autonomous aerial data collector to optimize its mmWave signal reception as it maneuvers between sensor clusters and flight restricted regions. All products of this work will be made freely available to the research community, along with documentation and tutorials. The in-lab testbed to be established during the project will be made available online for remote testing. The hardware schematic of the sensor platform, deployment profiles, data traces, and important meta-data will be posted online to spur further use, test, and research to advance the field.</p>https://gustybear.github.io/publication/pan-ro-bin-known-plaintext-attack-2020/Wed, 01 Apr 2020 00:00:00 +0000https://gustybear.github.io/publication/pan-ro-bin-known-plaintext-attack-2020/https://gustybear.github.io/publication/troglia-fa-ir-federated-incumbent-2019/Fri, 01 Nov 2019 00:00:00 +0000https://gustybear.github.io/publication/troglia-fa-ir-federated-incumbent-2019/https://gustybear.github.io/publication/hu-characterizing-locationbased-mobile-2019/Fri, 01 Mar 2019 00:00:00 +0000https://gustybear.github.io/publication/hu-characterizing-locationbased-mobile-2019/https://gustybear.github.io/publication/hu-tracking-location-privacy-2018/Sun, 15 Apr 2018 00:00:00 +0000https://gustybear.github.io/publication/hu-tracking-location-privacy-2018/https://gustybear.github.io/publication/kawamoto-feedback-control-based-crowd-2017/Tue, 11 Jul 2017 00:00:00 +0000https://gustybear.github.io/publication/kawamoto-feedback-control-based-crowd-2017/https://gustybear.github.io/publication/zheng-location-based-handshake-2017/Sat, 01 Jul 2017 00:00:00 +0000https://gustybear.github.io/publication/zheng-location-based-handshake-2017/https://gustybear.github.io/publication/zheng-cognitive-security-securing-2016/Fri, 01 Jul 2016 00:00:00 +0000https://gustybear.github.io/publication/zheng-cognitive-security-securing-2016/https://gustybear.github.io/publication/zheng-profiling-strength-physical-layer-2016/Fri, 01 Jul 2016 00:00:00 +0000https://gustybear.github.io/publication/zheng-profiling-strength-physical-layer-2016/https://gustybear.github.io/publication/zheng-privacy-preservation-cloud-based-2016/Fri, 01 Jan 2016 00:00:00 +0000https://gustybear.github.io/publication/zheng-privacy-preservation-cloud-based-2016/https://gustybear.github.io/publication/zheng-privacy-preserving-link-prediction-2015/Tue, 01 Sep 2015 00:00:00 +0000https://gustybear.github.io/publication/zheng-privacy-preserving-link-prediction-2015/https://gustybear.github.io/publication/wang-d-do-s-attack-protection-2015/Wed, 01 Apr 2015 00:00:00 +0000https://gustybear.github.io/publication/wang-d-do-s-attack-protection-2015/https://gustybear.github.io/publication/zheng-highly-efficient-known-plaintext-2015/Sun, 01 Feb 2015 00:00:00 +0000https://gustybear.github.io/publication/zheng-highly-efficient-known-plaintext-2015/https://gustybear.github.io/publication/yan-peer-clean-unveiling-peerto-peer-2015/Thu, 01 Jan 2015 00:00:00 +0000https://gustybear.github.io/publication/yan-peer-clean-unveiling-peerto-peer-2015/https://gustybear.github.io/publication/wang-d-do-s-attack-protection-2014/Wed, 01 Oct 2014 00:00:00 +0000https://gustybear.github.io/publication/wang-d-do-s-attack-protection-2014/https://gustybear.github.io/publication/li-scalable-secure-sharing-2013/Tue, 01 Jan 2013 00:00:00 +0000https://gustybear.github.io/publication/li-scalable-secure-sharing-2013/https://gustybear.github.io/publication/zheng-sharp-private-proximity-2012/Sat, 01 Sep 2012 00:00:00 +0000https://gustybear.github.io/publication/zheng-sharp-private-proximity-2012/https://gustybear.github.io/publication/zheng-privacy-preserving-personal-health-2011/Sat, 01 Jan 2011 00:00:00 +0000https://gustybear.github.io/publication/zheng-privacy-preserving-personal-health-2011/