Abdel-Hameed Badawy
Associate Professor, Klipsch School of Electrical and Computer Engineering
Regular Faculty
Engineering Comlpex III 285,
Department of Mathematical Sciences,
Las Cruces, NM 88003
badawy@nmsu.edu
575-646-6476
Prof. Abdel-Hameed A. Badawy is a tenured associate professor of Computer Engineering in the Klipsch School of Electrical and Computer Engineering (ECE) at New Mexico State University (NMSU), Las Cruces, NM. He is the Computer Area Chair at ECE at NMSU. He is also a Los Alamos Joint Faculty with the New Mexico Consortium and was a Faculty Mentor at Los Alamos National Laboratory. He has been a visiting research scientist at the New Mexico Consortium. He is an affiliated faculty member of the Lawrence Berkeley National Laboratory. He was a lead research scientist at the High-Performance Computing Laboratory (HPCL) at George Washington University (GWU). Also, he was a faculty member at the Department of Electrical Engineering at Arkansas Tech University. He received his Ph.D. and M.Sc. from the University of Maryland (UMD), both in Computer Engineering. He obtained his B.Sc. in Electronics Engineering, concentrating on Computers & Control Systems, from Mansoura University, Egypt, where he was ranked first in his graduating class. His research interests include computer architecture, high-performance computing, performance modeling and prediction, green computing, hardware security, optical computing, and applications of Artificial Intelligence and Machine Learning in various computational problems. He has more than 120 peer-reviewed publications in ACM/IEEE/OSA/Springer/Elsevier conferences and Journals. His research has been awarded best paper/poster awards. He is a Senior Member of the IEEE, IEEE Computer Society, a Professional Member of the ACM, and a Dean’s member of the ASEE. He has served on the program committee and organizing committees for SC, IPDPS, CCGRID, MemSys, IPCCC, and other conferences. He is the Technical Program Chair of MemSys 2025 and a Co-Vice General Chair of IPCCC 2025. He served as the vice-chair of the Arkansas River Valley IEEE section in 2014 and 2016.
Expertise
- Machine Learning
- Natural Language Processing
- Neural Networks
- Hardware Security
- Quantum Computing
- Performance Modeling and Prediction
- Agriculture and Food Systems
- Healthcare and Biomedical Applications
- Manufacturing and Industrial Automation
- Computer Engineering/Science
Profile Links
Awards
- Best Student Paper Finalist for my student Abdelrahman Elkanishy for our paper, “Supervising Communication SoC for Secure Operation Using Machine Learning”, the 2019 IEEE 62nd International Midwest Symposium on Circuits and Systems (MWSCAS’19), August 2019, Dallas, TX, USA
- Best Student Paper Runner up for my student Yehia Arafa for our paper, “Instructions’ Latencies Characterization for NVIDIA GPGPUs”, at the 2019 IEEE 23rd Annual High Performance Extreme Computing Conference(HPEC’19), September 2019, Waltham, MA, USA
- Outstanding Program Committee Member the International Symposium on Memory Systems, Washington, DC, October 2018
- Outstanding Service Award for role as the Publication Chair of the IEEE 9th PGAS’2015 conference, September 2015
Accordion
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