Two Fully Funded Ph.D. Positions – Spring/Fall 2027 - Computer Engineering

Earning a Ph.D. is a challenging journey of learning, exploration, and discovery. I value self-motivated students who are genuinely curious about their research and excited by its potential impact. Below are several intriguing questions. If you envision yourself enjoying tackling these problems, our group may be a good fit. • Architecture: How can we tackle the memory wall through better data orchestration within and across devices by identifying and leveraging the key features of FPGAs, GPUs, CPUs, and emerging hardware? • Compiler: How can AI models defined in PyTorch be automatically lowered to heterogeneous systems with formally verified correctness and high hardware efficiency? • HW/SW Co-design: From a hardware perspective, what will future AI models look like (numerical data types, customized structures, etc.) to achieve lower latency and better energy efficiency?

If you are interested in exploring and tackling problems in Heterogeneous Computing, Compiler Optimization, and AI HW/SW Co-design, I would be happy to hear from you. I will provide hands-on, side-by-side guidance throughout your Ph.D. while encouraging you to develop your own research ideas.