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Bio


I am a third year Ph.D. student at Illinois Institute of Technology, advised by Dr. Ken Choi. My current research topic is HW/SW Co-Design of Deep Neural Networks (DNNs) on re-configurable devices for Autonomous Vehicles. I study state-of-the-art DNNs, aiming to perform a full stack optimization on them from the Model-Level to the RT-Level, with a main focus on researching methods to co-design and co-optimize the hardware on which they run, with a special focus in re-configurable computing using devices like FPGAs.

Updates


  • Oct 2023: Passed Ph.D. Qualifying Exam

Teaching Assistant


G : Graduate Course, U : Undergraduate Course, L : Lab Instructor

  • Fall 2024

  • Spring 2024

    • ECE 429 - Intro to VLSI Design UL
      • Lab01: Tuesday from 08:35 AM to 11:15 AM in SH310A
      • Lab02: Tuesday from 04:20 PM to 07:00 PM (Online)
    • ECE 530 - High Performance VLSI IC Systems G
  • Fall 2023

    • ECE 218 - Digital Systems UL
      • Lab01: Tuesday from 08:35 AM to 11:15 AM in SH311
      • Lab02: Tuesday from 05:00 PM to 07:40 PM in SH311
      • Lab04: Friday from 08:35 AM to 11:15 AM in SH311
    • ECE 588 - Hardware Acceleration for Machine Learning G
  • Spring 2023

    • ECE 218 - Digital Systems UL
      • Lab01: Monday from 08:35 AM to 11:15 AM in SH311
      • Lab02: Thursday from 08:35 AM to 11:15 AM in SH311
    • ECE 530 - High Performance VLSI IC Systems G
  • Fall 2022

    • ECE 218 - Digital Systems UL
      • Lab04: Friday from 08:35 AM to 11:15 AM in SH311

Education


Illinois Institute of Technology, Chicago, IL, USA

  • Electrical Engineering, Ph.D. Expected May 2027
  • Electrical Engineering, M.S. August 2022
  • Electrical Engineering, B.S. August 2022

Misc


  • List of Journals and Conferences related to my reasech area. (Link)