Prof. Dr. Mohammed Berka | Electrical Engineering | Engineering Impact Recognition Award
University of Mascara | Algeria
Mohammed Berka is a Full Professor of Telecommunications and Electrical Engineering with extensive academic and research experience in microwave engineering and electromagnetic systems. He holds a State Engineering degree in Electronics, a Master’s degree in Signal and Telecommunications Systems, a PhD in Telecommunications, and an Habilitation to Direct Research (HDR), reflecting a strong and progressive academic background. His career spans nearly two decades of university teaching, supervision, and research leadership, with steady academic promotions culminating in Full Professorship. His research interests focus on metamaterials, metasurfaces, microwave and millimeter-wave filters, antennas, absorbers, MIMO systems, electromagnetic wave propagation, and their applications in wireless communications, 5G, satellite systems, sensing, renewable energy, and photovoltaic optimization. He has contributed to numerous national and international research projects and served in key academic leadership roles. Professor Berka has authored and co-authored 41 peer-reviewed publications, several international conference papers, book chapters, and scholarly books published by recognized academic publishers. His scientific output has achieved an h-index of 7, with 224 citations, reflecting sustained research impact in electromagnetics and microwave engineering. His work has received international recognition through high-impact journal publications, conference invitations, and technical committee memberships, positioning him as an active contributor to advanced telecommunication research and innovation.
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Featured Publications
A Triple Band Square-Interlinked Rhombus Shaped Metamaterial Absorber for Microwave C and X-Band Utilizations
Optical and Quantum Electronics, 2023
Miniaturized Folded Square Split Ring Resonator Cell-Based Dual Band Polarization-Insensitive Metamaterial Absorber for C- and Ku-Band Applications
Optical and Quantum Electronics, 2023
An Efficient Fuel Cell Maximum Power Point Tracker Based on an Adaptive Neural Fuzzy Inference System
Przegląd Elektrotechniczny, 2023
New Design Approach for a Dual-Band Bandpass Microwave Filter Inspired by Square Symmetrical Metamaterial Resonators for X- and Ku-Band Applications
Journal of Nano- and Electronic Physics, 2022