With over 14 years of international research experience in Egypt, Europe, and Japan, I began my scientific career in 2006 at the Egyptian Atomic Energy Authority in Egypt. My master’s research at Menoufia University focused on FPGA-based visual object tracking, leading to a promotion to Assistant Lecturer. I pursued my Ph.D. at EJUST, Egypt, developing interference mitigation algorithms for cellular networks, and spent time as a visiting researcher in Japan. Post-Ph.D., I supervised Ph.D. students and conducted postdoctoral research on Massive MIMO for 5G systems. Since 2019, at RIKEN AIP, my work has centered on machine learning algorithms for energy-efficient communications, modifying MAB algorithms for various applications.
1-Employing an FPGA core for Robust visual object tracking (2006–2010)
2-“Interference mitigation in homogenous and heterogeneous cellular networks (2011–2014)
3-Research and development of Gamma-ray spectroscopy, Interference Mitigation, wireless comm (2015–2019)
4-Research and development of machine learning solutions for B5G systems like D2D communications, UAV, RIS, NOMA, etc(2019–2023)
5- Research and development of machine learning solutions for 6G systems like Metaverse content updates, Multiband communications, Over the air updates for Vehicles, etc(2022–2024)
5-Research and development of Human activity recognition using RIS and vehicle classifications using seismic signals for Intelligent transportations (2024–present)