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
- ECE 429 - Intro to VLSI Design UL
  - Lab01: Wednesday from 08:35 AM to 11:15 AM in SH310A
  - Lab02: Recorded Sessions.
- ECE 588 - Hardware Acceleration for Machine Learning G
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)