Dr. Mohamed S. Darweesh

Dr. Mohamed Saeed Darweesh (M’17, SM’20) received his master’s and Ph.D. degrees (with honors) in Electronics and Electrical Communications Engineering from the Faculty of Engineering, Cairo University, Giza, Egypt, in 2013 and 2017, respectively. He is currently a full-time associate professor at Nile University. Previously, he worked at the American University in Cairo (AUC), Zewail City (ZC) of Science and Technology, Arab Academy for Science and Technology and Maritime Transport (AASTMT), and Institute of Aviation Engineering and Technology (IAET). Dr. Saeed has a research stay at Zewail City (ZC) of Science and Technology, American University in Cairo (AUC), and Faculty of Engineering, Cairo University. Dr. Saeed is a Senior Member of the IEEE and has served on the technical program committees of major IEEE conferences. Dr. Saeed has been the IEEE Egypt Young Professionals Egypt Chair since January 2022 and IEEE CAS Egypt Treasurer since January 2023.

Dr. Saeed actively serves as a reviewer in several journals and conference publications, including IEEE conferences and journals. Dr. Saeed leads multiple research times in the fields of Artificial Intelligence, Machine learning, Healthcare, and Industry 4.0. He has authored/co-authored over 70 papers in international journals and conferences. Also, he is a Principal Investigator (PI), Co-PI, and Research Associate in several research projects funded by different agencies like the Science and Technology Development Fund (STDF), National Telecom Regularity Authority (NTRA), Information Technology Industry Development Agency (ITIDA), and Academy of Scientific Research and Technology (ASRT). He supervised over +90 graduation projects. He has a solid technical background with a strong interest in machine learning and artificial intelligence. His research interests focus on Wireless Communications, Self-Driving Cars, Vehicle to Vehicle (V2V) Systems, Narrow-Band IoT (NB-IoT), Biomedical Engineering (EEG Seizure Detection, Sleepiness Detection using EEG, Breast Cancer Classification, and Skin Cancer Prediction), Optimization Techniques, and Data Compression. Dr. Saeed also worked and trained with many telecom operators and suppliers like (MobiNil, Alcatel.Lucent, and Geniprocess) and has a strong background in computer networks and security.