David and Marilyn Karlgaard Endowed Chair Professor of ECE
Dr. Ahmed Louri is the David and Marilyn Karlgaard Endowed Chair Professor of Electrical and Computer Engineering with the George Washington University, which he joined in August 2015. He is also the Director of the High Performance Computing Architectures and Technologies Laboratory. From 1988 to 2015, he was a Professor of Electrical and Computer Engineering with the University of Arizona, and during that time, he served six years (2000 to 2006) as the Chair of the Computer Engineering Program. From 2010 to 2013, Dr. Louri served as a Program Director with the National Science Foundation’s (NSF) Directorate for computer and information science and engineering.
Dr. Louri is the recipient of the IEEE Computer Society Edward J. McCluskey Technical Achievement Award (2020), IEEE Outstanding Leadership Award (2019), National Science Foundation Research Initiation Award (1989), the Best article Award from IEEE Micro, the Advanced Telecommunications Organization of Japan Fellowship, the Centre Nationale de Recherche Scientifique (CNRS), France, Fellowship, and the Japan Society for the Promotion of Science Fellowship, and several teaching awards.
Dr. Louri conducts research in the broad area of computer architecture and parallel computing, with emphasis on interconnection networks, scalable parallel computing systems, versatile and flexible computing systems, and power-efficient and reliable Network-on-Chips (NoCs) for multicore architectures. Recently, he has been concentrating on: energy-efficient, reliable, and high-performance many-core architectures; accelerator-rich reconfigurable heterogeneous architectures; secure network-on-chips for multicores and SoCs; approximate computing and communications; machine learning techniques for efficient computing, memory, and interconnect systems; heterogeneous manycore architectures and chiplet-based designs; emerging interconnect technologies (photonic, wireless, RF, hybrid) for multi-core architectures and chip multiprocessors (CMPs); future parallel computing models and architectures (including convolutional neural networks, deep neural networks, and approximate computing); and cloud-computing and data centers. He has published more than 190 refereed journal articles and peer-reviewed conference papers, and is the co-inventor on several US and international patents. His research has been sponsored by NSF, DOE, AFOSR, and a number of industrial organizations.