Prof. Zhang's research has earned several awards, among them a best paper award from the ACM Transactions on Design Automation of Electronic Systems (TODAES), a Best Short Paper Award from IEEE International Symposium on Field-Programmable Custom Computing Machines (FCCM 2018), and multiple best paper nominations (ICCAD 2009, FPGA 2017, FPGA 2018).

Research Interests
Prof. Zhang's research broadly investigates new applications, optimization algorithms, and design automation tools for heterogeneous computing. recent publications focus on the topics of high-level synthesis, accelerator architectures, programming for FPGAs, and algorithm-hardware co-design for machine learning.