Dr. Mohamed S. Darweesh

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 an Associate Professor at the School of Engineering and Applied Sciences, 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).

Saeed is a Senior Member of the IEEE from 2020 and has served on the technical program committees of major IEEE conferences. Saeed has been elected as the IEEE Egypt Section Secretary 2024-2025, IEEE SIGHT Egypt since June 2023, IEEE Consultants Network Vice Chair since April 2023, and the IEEE CAS Egypt Treasurer since January 2023. For the global and regional IEEE positions, starting January 2024, he is appointed as a corresponding member in the IEEE Region 8 Young Professionals Subcommittee, a member in the IEEE HTB Proposal Evaluation Subcommittee, a member in the IEEE HTB Events Committee. He has been an IEEE HTB/SIGHT Projects Technical Reviewer since April 2023. Also, he was the IEEE Egypt Young Professionals Egypt Past Chair for 2022-2023.

Dr. Saeed actively serves as a reviewer in several journals and conference publications, including IEEE conferences and journals. Dr. Saeed has led multiple research projects in the fields of artificial intelligence, machine learning, healthcare, and Industry 4.0. He has authored/co-authored over +80 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.