Siyuan Chen 陳思源

ECE Department Carnegie Mellon University

prof_pic.jpeg

I am a 4th year PhD student in Electrical and Computer Engineering at Carnegie Mellon University, advised by Prof. Ken Mai. I’m a computer architect and a chip-building VLSI engineer with sub-28nm tapeout experiences. My research interests are in the design of domain-specific accelerators for emerging applications such as deep learning and robotics. I’m especially interested in designing flexible and future-proof accelerators that are ready for workloads of the future.

Prior to CMU, I graduated from Duke University with my BS in Electrical and Computer Engineering. During my undergrad I worked with Prof. Krishnendu Chakrabarty on hardware security.

selected publications

  1. ESSERC
    MAV-NPU: A 22nm Sparse Neural Network Processor for Real-Time, Resolution-Scalable Vision of Autonomous Micro Aerial Vehicles
    Siyuan Chen, and Ken Mai
    2024
  2. IROS
    Towards Specialized Hardware for Learning-based Visual Odometry on the Edge
    Siyuan Chen, and Ken Mai
    2022
  3. ITC
    BISTLock: Efficient IP Piracy Protection using BIST
    Siyuan Chen, Jinwook Jung, Peilin Song, Krishnendu Chakrabarty, and Gi-Joon Nam
    2020