Gang Quan

Gang Quan is a Professor in the Department of Electrical & Computer Engineering at Florida International University (FIU). He holds a Ph.D. from the University of Notre Dame (2002), an M.S. from the Chinese Academy of Sciences (1994), and a B.S. from Tsinghua University (1991). His research focuses on real-time computing systems, power/thermal-aware design, electronic design automation, advanced computing architectures, and reconfigurable computing. He has contributed extensively to neuromorphic computing, homomorphic encryption for secure computation, and energy-efficient scheduling in multi-core and embedded systems.

Key areas of expertise include thermal-aware system design for automotive and embedded applications, fault-tolerant neural networks, and resource management in data centers and cloud environments. His work integrates hardware-software co-design principles to address challenges in reliability, energy efficiency, and real-time performance. He has authored numerous peer-reviewed articles in top-tier conferences and journals.

Dr. Quan's research has practical applications in improving the resilience and efficiency of computing systems across domains like automotive electronics, cloud infrastructure, and neuromorphic hardware. He maintains an active role in academic leadership at FIU, contributing to both educational initiatives and cutting-edge research projects in electrical and computer engineering.