About me
Hi, I’m Ivan. I study Computer Science and General Business Management at HKUST. My interests include computer architecture, efficient AI systems, and embedded robotics.
I’ve spent much of my time at HKUST building robots, leading the Intelligent Racing software team, and teaching new members. More recently, I’ve been working on accelerator design and GPU inference profiling.
Fall 2026 · Carnegie Mellon University
On exchange and conducting undergraduate research with the CAOS Group.
Sep 2023 – Expected Aug 2028
Technology and Management Dual Degree Program
BEng in Computer Science
BBA in General Business Management
4.052 / 4.3Cumulative GPA · Summer 2026
4.27 / 4.3Computer Science GPA
Dean’s List every regular semester on record, Fall 2023 through Spring 2026.
Postgraduate coursework:
Fall 2026 / Undergraduate exchange
Tepper School of Business
Current coursework: 10-423 Generative AI and 10-405 Machine Learning with Large Datasets.
Jan 2024 – Present
Intelligent Racing
Sep 2025 – Present
Led an approximately 10-member multidisciplinary team developing a drone and tethered ground vehicle. Architected the embedded software stack and implemented cascaded position, attitude, and ESC motor-speed PID control on a custom Infineon platform.
Developed register-level CAN bus and hardware I²C libraries, and advised succeeding team leadership on technical planning and knowledge transfer.
Sep 2024 – Aug 2025
Led a 9-member software team and co-led the 24-member Intelligent Racing sub-team, overseeing technical strategy, cross-functional coordination, and project budgeting. Architected the cross-platform HAL and led the first-year relaunch of the Intelligent Car Race programme.
Jan 2024 – Aug 2024
Developed embedded software, MCU interfaces, and sensor and actuator integrations, supporting on-robot testing and competition preparation.
In 2024, I led the software tutorial cycle, delivered embedded-systems lectures to approximately 100 trainees, and mentored teams through implementation and final integration.
In 2025, I led all software activities and co-led the overall programme for approximately 250 participants, covering recruitment, resource allocation, game-rule formulation, teaching, and mentorship.
Accelerator co-design / Spring 2026
I designed a Chisel OnlineAttention module and integrated it with Gemmini’s datapath and RoCC interface, keeping attention weights on-chip and eliminating their O(N²) DRAM round trip.
At sequence length 128 · cycle-accurate Verilator simulation. Block-wise variants remained stable through sequence length 512.
Design, experiments & code
Edge AI / Spring 2026
I compared 15 deployment pipelines and traced a TensorRT version regression with Nsight Systems and Nsight Compute. Output contracts and post-processing can outweigh precision gains.
Fastest measured: 7.64 ms/image, with mAP50–95 decreasing from 0.397 to 0.362. Batch 1 · five-run averages over 5,000 COCO val2017 images.
Findings, benchmarks & codeEmbedded systems
I architected a reusable C++ hardware abstraction layer across STM32, STC, and Infineon MCUs, separating sensor and control modules from board-specific drivers. Shared code supports Sumo, air-cushion, and drone projects through configuration changes.
Robotics experience ↘Product engineering
I redesigned and rebuilt the React front end of an existing degree-planning platform, taking ownership of architecture and UI/UX. Drag-and-drop semester planning helps dual-degree students explore alternative multi-year study pathways.
Currently conducting undergraduate research with the CAOS Group while on exchange at CMU.
Feel free to email me about research, engineering opportunities, or collaborations.
ivan@ivanlok.com