Ultra-Lightweight Edge Intelligence Using Vector Symbolic Architecture.
ACM MobiSys Rising Stars 2025 · Best Presentation Award
Chae Young Lee
I’m a fourth-year Ph.D. candidate in Computer Science at Stanford, advised by Zerina Kapetanovic and Sara Achour. I build physical AI systems that combine low-power sensing, on-device intelligence, and cloud computing.
chae AT stanford DOT edu
Awards
- First Place at T-Mobile & Deutsche Telekom T-Challenge (2026).
- Qualcomm Innovation Fellowship Finalist (2026).
- N2Women Young Researcher Fellowship (2025).
- Best Presentation Award at ACM MobiSys Rising Stars Forum (2025).
Publications
Highlighted work
CLEval: Character-Level Evaluation for Text Detection and Recognition Task.
IEEE/CVF CVPR Workshop 2020
Talks
Teaching
- Guest Lecture at Stanford EE 186 Introduction to Embedded Systems (2025).
- Guest Lecture at Stanford EE 392D Wireless Sensing Systems (2025).
- Head Teaching Assistant for Introduction to Embedded Systems, Stanford University (2025).
- Course Developer for Introduction to Embedded Systems, Stanford University (2024). Course website
Co-built this course with Professor Zerina Kapetanovic.
- Teaching Assistant for Introduction to Electronics, Yale University (2022).
- Teaching Assistant for Deep Learning Theory and Applications, Yale University (2022).
- Teaching Assistant for Systems Programming and Computer Organization, Yale University (2021).
- Teaching Assistant for Data Structures and Programming Techniques, Yale University (2020).
Service
- Organizer, Stanford-Berkeley Women in CS/EE Research Meetup (2026).
- Organizer, N2Women Event at MobiCom (2025).
- Reviewer, IEEE Transactions on AgriFood Electronics (2025).
- Organizer, Stanford Women in Computer Science (2024–2026).
- Mentor, Stanford CURIS (2025).