About me

I am a Ph.D student in Computer Engineering at University of Southern California under the advisement of professor Viktor K. Prasanna.

My research interest is accelerating computationally intensive algorithms on various computing platforms. I am currently working on accelerating Deep Reinforcement Learning algorithms on FPGA.

Education

Aug 2019 - Present:

University of Southern California
Ph.D. Student in Computer Engineering

Aug 2015 - May 2019:

Rensselaer Polytechnic Institute
Bachelor of Science, Electrical Engineering - Computer and Systems Engineering

Research & Publications

• Accelerating Proximal Policy Optimization on CPU-FPGA heterogeneous platforms
  • Accepted as a full paper in the 28th IEEE Symposium on Field-Programmable Custom Computing Machines (FCCM 2020) (Acceptance Rate 20.6%)
• Accelerating Table based Q learning on FPGA
  • Accepted as a poster in the 28th ACM/SIGDA International Symposium on Field-Programmable Gate Arrays (FPGA 2020)
• Mesh adaptation on FPGA
  • Advisor: Mark Shephard, Scientific Computation Research Center, Rensselaer Polytechinic Institute

Work Experience

• Undergraduate Teaching Assistant, Rensselaer Polytecnic Institute
  • Foundations of Computer Science
  • Laboratory Introduction to Embedded Control

• Electronics Engineer Co-op, Hasbro. Inc

• Technology Counselor, Emagination Computer Camps

Links

My Github
My Linkedin