AI Systems • Hardware • Accessibility

I design and build machine‑learning systems that run efficiently on hardware— from FPGA‑accelerated medical imaging to AI glasses that assist people with low vision.

Research engineer with experience across IC design, embedded ML, and product prototyping. I enjoy the place where algorithms, hardware, and human needs meet to tell useful stories.

Portrait

About

Education

  • National Yang Ming Chiao Tung University — M.Sc., ICST (Semiconductor Technology) • Sep 2023 – Jan 2026
  • National Tsing Hua University — B.E., EECS • Sep 2019 – Jun 2023
  • TOEFL iBT 101 • CEFR C1; French/Basic German & Spanish

Recent Roles

  • Research Intern, National University of Singapore — Device activity monitor with ML • Jun–Jul 2025
  • Research Intern, Academia Sinica CITI — Hardware/ML research • Jul–Aug 2024; Dec 2024–present
  • Google 2023 HPSpr, Smart Mirror onsite demo • Jun–Sep 2023

Selected Projects

AI Glasses for Low‑Vision Users

Accessibility • Edge AI • 2025

A wearable system that combines TinyML object detection, depth estimation, and conversational assistance to help users navigate and recognize objects in real time.

LightM‑UNet on FPGA

Medical Imaging • FPGA Acceleration • 2024–2025

End‑to‑end acceleration of a lightweight UNet with a Mamba bottleneck. Focus on quantization, memory traffic, and selective‑scan hardware for efficient inference.

Portable EEG‑Based Brain‑Computer Interface

BCI • Embedded ML • 2023–2024

Won multiple awards; co‑authored a paper on an EEG‑based interface for investigating Bach’s effect on Tourette’s syndrome patients (VLSI/DAT 2024).

Physics‑Informed Neural Network Solver

Scientific ML • 2024

RISC‑V Creativity Competition (3rd Prize, Application). A PINN approach for partial differential equations with custom training pipeline.

Capabilities

Core

  • Embedded & FPGA: Verilog, high‑level synthesis, memory/throughput optimization
  • ML for vision & signals: PyTorch, MONAI/nnU‑Net, quantization & pruning
  • Systems: Linux, scripting, reproducible experiments

Awards & Honors (selected)

  • Excellent Team Award — NYCU Innovation & Entrepreneurship (2025)
  • Andes RISC‑V Creativity — Honorable Mention (Design), 3rd Prize (Application) (2023–2024)
  • Brain Plus Hand Competition — Honorable Mention, NTHU (2023)
  • Yenching Global Symposium Delegate (2024); UPG Sustainability Leader (2024)

Contact

Email: tse.liang2000@gmail.com

GitHub: github.com/tseliang2000

LinkedIn: linkedin.com/in/tseliang