Biography
Prof. Abdel-Hameed A. Badawy is a tenured associate Professor of Computer Science at the Knight Foundation School of Computing and Information Sciences at Florida International University, Miami, FL.
He was 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 was the Computer Engineering 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 (LANL). He has been a visiting research scientist at the New Mexico Consortium. He was an affiliated faculty member of the Lawrence Berkeley National Laboratory (LBNL). 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 on his graduating class.
His research interests include computer architecture, high-performance computing, performance modeling and prediction, hardware security, optical computing, and applications of Artificial Intelligence and Machine Learning in various computational problems, as well as Quantum Computing. His research has been funded by NSF, DOE, NNSA, Booz Allen Hamilton, DOD, and ARL. His research raised a total of $13.4M, $3.4M as PI.
Currenlty, he serves as a section Editor of the Springer Supercomputing Journal since 2023. He has more than 140 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 was 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 was the Technical Program Chair of MemSys 2025, co-Technical Program Chair for MemSys 2024, and Co-Vice General Chair of IPCCC 2025. He served as the Vice Chair of the Arkansas River Valley IEEE section in 2014 and 2016.
Awards & Honors
- 1. Best Student Paper Finalist for my student Md Omar Faruque for our paper, “MARS: Multi-Transformation Adaptive Resynthesis for Physical Design-Aware Timing Closure”, the 2026 IEEE 19th
- Dallas Circuits and Systems (DCAS’26), April 2026, Dallas, TX, USA
- 2. New Mexico Consortium Conference Travel Grant of $6, 000 to attend and present a paper at SC’21 along with a PhD student, November 2021.
- 3. New Mexico Consortium Conference Travel Grant of $10, 000 to attend and present papers at ModSim’19, HPEC’19, MemSys’19, Asilomar’19, and SC’19, August – December 2019
- 4. 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
- 5. 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
- 6. Outstanding Program Committee Member the International Symposium on Memory Systems, Washington, DC, October 2018
- 7. New Mexico Consortium Conference Travel Grant of $10, 000 to attend and present a papers at HPEC’18, MemSys’18, SC’18, and IPCCC’18, September – November 2018.
- 8. National Science Foundation Grant of $1750 to attend/participate at “Rethinking Engineering Education at HSIs” held at Annual ASEE Conference held at Salt Lake City, UT, June 2018.
- 9. National Science Foundation Grant of $250 to attend/participate at “Rethinking Engineering Education at HSIs” held at the University of Texas at El Paso, El Paso, TX, March 2018.
- 11. New Mexico Consortium Conference Travel Grant of $8500 to attend and present papers and poster papers at IPCCC’17, SC’17, and CLUSTER’17, September – December 2017
- 12. Best Student Paper Award for “Energy Efficient Job Co-Scheduling for High-Performance Parallel Computing Clusters”, at the 5th IEEE International Conference on Sustainable Computing and Communications (SustainCom’15), Chengdu, China, December 2015.
- 13. Invited to participate at the OSA Optical Computing Incubator, Optical Society of America, December
- 2015
- 14. Outstanding Service Award for role as the Publication Chair of the IEEE 9th PGAS’2015 conference, September 2015
Education
- Ph.D., Computer Engineering, University of Maryland (UMD), College Park, MD, USA, Dec. 2013 “Locality Transformations and Prediction Techniques for Optimizing Multicore Memory Performance” Advisor: Prof. Donald Yeung
- M.Sc., Computer Engineering, University of Maryland, College Park, MD, USA, Aug. 2002 “Evaluating the Impact of Memory System Performance on Software Prefetching and Locality Optimizations” Advisor: Prof. Donald Yeung
- Diploma, Software Development, Information Technology Institute (ITI), Egypt, July 1997. Ranked among the top 5 trainees out of more than 200. Graduation Project: “Mobile Aglets (Agent) System”
- B.Sc., Computers & Control concentration, Mansoura University, Egypt July 1996 Degree conferred with Distinction and Honor. Ranked 2nd in a class of 85 students. Capstone Project: “Computer-controlled Robot Arm System”
Research Interest
- Performance Modeling, Prediction, Monitoring, and Evaluation
- High-Performance Computer Architectures,
- Hardware Security, including IoT devices,
- Security of Machine Learning Models,
- Machine Learning for Hardware Security,
- Quantum Computing,
- Post-Moore's law hardware,
- Hardware-Software-Security Co-design,
- Machine Learning for Computational Problems,
- Computational Intelligence Techniques for Biomedical Applications,
- Adaptive Computing Systems,
- Cognitively Enabled Architectures,
- On-Chip Optical Interconnects,
- Optical Computing,
- Locality Optimizations,
- Green Computing,
- Computing Education,
- Scholarship of Teaching and Learning,
- Jurisprudence