معرفی
Herman Lam is an Associate Professor in the Department of Electrical & Computer Engineering at the University of Florida. He also serves as the UF Site Director for the NSF SHREC Center, focusing on reconfigurable computing and high-performance systems. His research emphasizes heterogeneous computing, FPGA acceleration, and computer architecture design.
Dr. Lam holds a PhD in Electrical Engineering (University of Florida, 1979), an ME in Electrical Engineering (University of Florida, 1974), and a BSEE from Georgia Institute of Technology (1972). His work spans academic and industrial collaboration, with notable contributions to scalable reconfigurable supercomputing (e.g., Novo-G) and FPGA-based machine learning acceleration.
His research interests include high-performance heterogeneous computing, reconfigurable computing, and computer architecture optimization. He has pioneered frameworks like HgPCN for embedded point cloud inference and APR-OIS for near-sensor processing. Recent work focuses on fault-tolerant systems, FPGA-pipelined simulations, and science gateway platforms like SCAIGATE.
Dr. Lam has received prestigious awards, including the 2018 Dell EMC AI Challenge for a heterogeneous computing system and the 2012 NSF Schwarzkopf Prize. He is also recognized for teaching excellence, earning the 1993 University of Florida Teaching Improvement Award.
His research teams collaborate with NSF-funded initiatives and industry partners, advancing applications in computational fluid dynamics, genomics, and embedded AI systems. Key projects include the CHREC Space Processor (CSP) for hybrid space computing and virtual FPGA platforms like VirtualRC.
