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Herman Lam is an Associate Professor of Electrical and Computer Engineering at the University of Florida.. He has over 25 years of research and development experience in the areas of distributed computing, service-oriented computing, and database management. Currently, Dr. Lam’s main research interest is in reconfigurable computing (RC), focused upon methods and tools for the acceleration and deployment of scientifically impactful applications on scalable RC systems like the Novo-G reconfigurable supercomputer. He was a Co-PI of the 2012 Alexander Schwarzkopf Prize for Technology Innovation from the National Science Foundation for “Novo-G: An innovative and synergistic research project and the world’s most powerful reconfigurable supercomputer”. Dr. Lam also led a team of graduate students at the University of Florida to win the 2018 Dell EMC AI Challenge, recognized for developing and demonstrating a heterogeneous computing (HGC) system that can support a complete workflow–data analysis and pre-processing, model training, and deployment and inferencing–for machine learning.

Dr. Lam has authored or co-authored over 150 refereed conference and journal articles and one textbook. He served as the Associate Director of CHREC, the NSF Center for High-Performance Reconfigurable Computing. Currently, Dr. Lam is the University of Florida Site Director of the NSF Center for Space, High-Performance, and Resilient Computing (SHREC).

Academically, Dr. Lam is the Director of the Computer Engineering undergraduate program in the College of Engineering at the University of Florida. He has earned numerous teaching awards, including awards for co-chairman of a best Ph.D. dissertation in his department, outstanding supervisor of a core laboratory in his department, and outstanding teaching award in the College of Engineering, and UF University Teaching Improvement Program (TIP) award. In 2015, Dr. Lam received the Lifetime Achievement Award from the students of the Electrical & Computer Engineering Department of the University of Florida.
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Extreme Scale Comptuing
Reliability and Resiliency
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