Debjit Pal

Debjit Pal is a Post-Doctoral Associate at the School of Electrical and Computer Engineering, Cornell University, and a member of the Computer Systems Laboratory. His research focuses on machine learning techniques for hardware verification, SoC validation, and FPGA optimization.

• Education:
  • Ph.D. in Computer Engineering (University of Illinois at Urbana-Champaign, 2019)
  • M.S. in Computer Science (IIT Kharagpur, 2012)
  • B.E. in Electronics Engineering (Jadavpur University, 2008)

Research Interests:

• Machine Learning for Electronic Design Automation (EDA)
• System-on-Chip (SoC) Verification
• Edge Intelligence as a Service
• Compiler Optimizations for Reconfigurable and High-Performance Computing

Scientific Awards:

• IEEE CEDA Student Research Award (2016)
• Best Paper Nomination (ICCAD 2015, DAC 2018, ASP-DAC 2019)
• E. J. McCluskey Best Doctoral Thesis Competition Semi-Finalist (2020)
• Travel Grants for ICCAD/DAC/ASPDAC (2018-2019)

Professional Roles: Technical Program Committee Member (DAC, VLSID), Reviewer (IEEE TVLSI, DATE, ICCAD). Collaborates with researchers like Zhiru Zhang and Shobha Vasudevan.