Chae Young Lee

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

• 

  ★ "Is Low Power Enough?" Rethinking Energy Efficiency in High-Fidelity Sensing.

  Chae Young Lee, Lan Mei, Jesse Fonseca, Zerina Kapetanovic.

  arXiv preprint 2026

  Paper
• 

  Ultra-Lightweight Edge Intelligence Using Vector Symbolic Architecture.

  Chae Young Lee.

  ACM MobiSys Rising Stars 2025 · Best Presentation Award

  PaperSlides
• 

  Demo: Low-Power Onboard Computer Vision for IoT Cameras.

  Chae Young Lee, Sara Achour, Zerina Kapetanovic.

  ACM MobiSys Demo 2025

  Paper
• 

  ★ NavHD: Low-Power Learning for Micro-Robotic Controls in the Wild.

  Chae Young Lee, Sara Achour, Zerina Kapetanovic.

  IEEE/RSJ IROS 2025

  PaperSlidesVideo
• 

  ★ HyperCam: Low-Power Onboard Computer Vision for IoT Cameras.

  Chae Young Lee, Pu (Luke) Yi, Maxwell Fite, Tejus Rao, Sara Achour, Zerina Kapetanovic.

  ACM MobiCom 2025

  PaperSlides
• 

  Early Termination for Hyperdimensional Computing Using Inferential Statistics.

  Pu (Luke) Yi, Yifan Yang, Chae Young Lee, Sara Achour.

  ACM ASPLOS 2025

  Paper

Talks

• Invited Panel at ACM S3 Workshop in ACM MobiCom (2025).
• Ultra-Lightweight Edge Intelligence Using Vector Symbolic Architecture, EE Seminar at KAIST (2025). Slides
• Energy-Efficient ML Using Hyperdimensional Computing, Stanford Software Research Lunch (2025). Slides

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).

Work Experiences

• Microsoft Research (Summer 2026).
  Networking Research Group / Future Experiences Group (Mentors: Vaishnavi Ranganathan, Liangcheng Yu, Mike Gordon).
• Apple (Summers 2020 and 2021).
  Siri Text-to-Speech Modeling Team (Mentors: Tuomo Raitio, Sivanand Achanta).
• UpstageAI (Nov 2020 – May 2021).
  Machine Learning Team (Mentor: Hwalsuk Lee).
• NAVER (Jan 2019 – Jul 2019).
  Clova OCR Team (Mentors: Hwalsuk Lee, Youngmin Baek).

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, 2026).