Meet the MESR mentors

Communication Systems

Dr. Ahmed Arafa received his BSc degree with highest honors in electrical engineering from Alexandria University in 2010, an MSc degree in wireless technologies from Nile University in 2012, and both MSc and PhD degrees in electrical engineering from the University of Maryland, College Park, in 2016 and 2017. He served as a postdoctoral research associate in the Electrical Engineering Department at Princeton University from 2017 to 2019. He is currently an associate professor in the Department of Electrical and Computer Engineering at the University of North Carolina at Charlotte. His interests include communication theory, information theory, machine learning, and signal processing, with a focus on federated and distributed learning, semantic communications, and information-theoretic security and privacy.

Communication Systems

Dr. Ahmed Hindy earned his bachelor's degree from Alexandria University in 2010, his master's degree from Nile University in 2012, and his PhD from The University of Texas at Dallas in 2017. He is currently a principal member of technical staff at AT&T, where he also represents the company in 3GPP specification meetings for next-generation wireless standards. Previously, he worked as an advisory researcher at Motorola Mobility. He is a co-inventor on numerous USPTO-granted patents and a co-author on multiple IEEE publications. His interests include MIMO, green communications, cooperative networks, and machine learning applications for wireless performance enhancement.

Communication Systems

Dr. Ahmed Wagdy Shaban received his BSc in electrical engineering from Alexandria University in 2010, an MSc in wireless communications and information technology from Nile University in 2014, and a PhD in electrical and computer engineering from the University of Waterloo in September 2020. He previously worked as a research assistant at Qatar University and as a visiting research assistant at Nile University's Wireless Intelligent Networks Center. He is currently a senior research engineer at Huawei Technologies Canada. His interests include integrated sensing and communication systems, beamforming for massive MIMO millimeter-wave systems, and interference alignment and management.

Communication Systems

Dr. Mohammad Galal Khafagy is currently a radio strategy and design senior technical lead at Vodafone Egypt, and a part-time lecturer at the British University in Egypt. Before joining Vodafone, he worked as a research scientist and postdoctoral researcher at the American University in Cairo, KTH Royal Institute of Technology, and Qatar University. He received his PhD, MSc, and BSc degrees in electrical engineering and wireless communications from KAUST, Nile University, and Alexandria University, respectively. His R&D interests focus on machine-learning-aided communication systems, Open RAN, intelligent reflecting surfaces, multiple-antenna techniques, relay-aided communication, and statistical signal processing for communications. He is a long-term IEEE member and has served as the IEEE Egypt Section Industry Ambassador and a committee member of IEEE Region 8 Action for Industry.

Communication Systems

Dr. Ahmed M. Hamza is a DSP manager at GlobalFoundries in Egypt. He earned both his BSc and MSc degrees from Alexandria University, completed a PhD in electrical and computer engineering at the University of Waterloo, and also holds an MBA from Wilfrid Laurier University. With around 20 years of experience in DSP, wireless, and embedded systems, he specializes in designing and developing real-time solutions for SDR communication systems. Throughout his career, he has held technical and leadership roles across local and multinational organizations.

Communication Systems

Dr. Ahmed Medra leads the Optical DSP team at Huawei Technologies Canada and has worked with Huawei for eight years. He received his BSc and MSc from Alexandria University and his PhD from McMaster University, and he also worked as a postdoctoral fellow at UBC. His work focuses on DSP algorithms across adaptive filtering, timing and carrier recovery, turbo equalization, and digital subcarrier multiplexing. He has also filed patent applications in optical transmission.

Communication Systems

Dr. Mohamed Fadel is a wireless systems engineer specializing in the design, modeling, and optimization of IEEE 802.11 (Wi-Fi) PHY systems. He currently works at Apple, where he focuses on developing in-house connectivity silicon for iPhone and MacBook platforms. Previously, at Qualcomm, he developed Snapdragon-based Wi-Fi solutions for flagship Samsung Galaxy devices, as well as enterprise and residential access points. His industry background also includes working on multi-RAT systems at Intel Labs and LTE-based positioning technologies at Polte (later acquired by Qualcomm). Mohamed earned his Ph.D. in Electrical Engineering from the University of Texas at Dallas, where his research focused on maximizing throughput in wireless systems. He also holds an M.Sc. in Wireless Technology from Nile University and a B.Sc. in Electrical Engineering from Alexandria University. Bridging academic theory and commercial implementation, his expertise spans advanced digital PHY design, signal processing, and delivering high-performance connectivity solutions at a global scale.

Machine Learning

Eng. Ghada Saleh is a software test engineering manager at MathWorks, leading testing teams for the Statistics and Machine Learning Toolbox, Curve Fitting Toolbox, and Deep Learning 3P area. She received her bachelor's degree in electrical engineering from Alexandria University in 2010, an MSc from Nile University in 2012, and a second MSc from The Ohio State University in 2015 with a focus on wireless communications. Her current interests include AI, machine learning, and automated software testing methodologies.

Machine Learning

Dr. Hussein Metwaly Saad received his BS from the German University in Cairo in 2010, his MS from Nile University in 2013, and his PhD from The University of Texas at Dallas in 2019, all in electrical engineering. After graduation, he joined Virginia Tech as a research assistant professor working on machine learning and its applications in wireless communications. He is currently a senior engineer in Wireless R&D at Qualcomm Technologies. His interests span AI, machine learning, deep learning, and wireless communications.

Machine Learning

Dr. Mohamed Gaafar is a principal machine learning engineer at Revecore. He also has prior experience as a senior data scientist at Microsoft, where he designed machine learning models for the Bing Ads team. He holds a BSc and MSc in electrical engineering from Alexandria University, a PhD in electrical and computer engineering from the University of Calgary, and completed a postdoctoral fellowship at the University of Toronto. His interests span machine learning applications, deep learning, optimization, wireless communications, and hardware design.

Machine Learning

Eng. Eslam Elsheikh holds a master's degree in informatics from Nile University (2023) and a bachelor's degree in electronics and communications from Alexandria University (2008). With more than 16 years of experience in telecommunications and technology, he combines deep technical expertise with strategic leadership. He has 11 years of experience in radio access networks through work with Nokia, Huawei, VoIS, and Vodafone Egypt. Over the past five years, he has worked in software and digital product management roles at Dell Technologies and VoIS. He is passionate about data analytics, product management, and project management.

Machine Learning

Dr. Ramy is a machine learning scientist at Google, specializing in AI for health sensing. His work focuses on developing advanced sensor algorithms for smartphones and smartwatches to enable innovative health monitoring capabilities. Previously, he was a research scientist at Stanford University, where he developed AI-powered diagnostic and predictive models used in modern medical devices. Prior to that, he worked at Boeing on machine learning algorithms for aircraft fault prediction. He holds a PhD from the University of British Columbia and earned his master's and bachelor's degrees from the Faculty of Engineering, Alexandria University.

Machine Learning

Dr. Hesham Gamal Moussa received his BS and MS from the American University of Sharjah and his PhD from the University of Waterloo in 2020. He currently works as a senior research engineer with Huawei Technologies Canada in the wireless department. His interests include fundamental machine learning research, wireless communications, mobile network performance optimization, and biomedical applications.

Machine Learning

Dr. Sahar A. El-Rahman received her BS in 1997, MS in 2003, and PhD in 2008 from Benha University in Cairo, Egypt. She is currently an associate professor in the Electrical Engineering Department, Computer Systems Program, Faculty of Engineering at Shoubra, Benha University. She was recognized as one of the top 2% of scientists worldwide in 2024 by Stanford University's ranking. Her interests include artificial intelligence, machine learning, information security, distributed systems, computer vision, HCI, big data, and cloud computing.

Electronics

Dr. Aida Elsabban is a board member for the Digital Economy Division, Commercial Chambers Union, and a member of the Green Economy Advisory Committee, Council of Arab Economic Unity. She has more than 32 years of industry experience. She is the former advisor to the Egyptian Minister of State for Military Production for electronic industries and energy, and she was the first and only woman to serve as Chairperson and CEO of two entities within the Arab Organization for Industrialization (Electronics and Renewable Energy). She also served as a visiting doctor at the British University in Egypt for three years and ITI for four years. She started as an R&D engineer and contributed to shaping Egypt's electronics strategy, Egypt Makes Electronics. In IEEE, she is a Senior Member and currently serves as Founder and Chair of the IEEE Sensor Council Egypt Chapter, IEEE Region 8 Action for Industry Committee Member, IEEE HTB Events Committee Member, and first-level evaluator for HTB projects.

Electronics

Dr. Alaa Medra received his BSc degree with honors from Alexandria University in 2010 and his MSc degree from Nile University in 2012. During his master's studies, he completed an internship at IMEC/KU Leuven in Belgium. He earned his PhD from IMEC/Vrije Universiteit Brussel in 2018, where his research focused on millimeter-wave circuit design for radar applications. Since 2017, Dr. Medra has been with Qualcomm in San Diego, California, working as a senior staff engineer in the RFIC design team. His work spans RF front-end modules for cellular receivers and mmWave transceivers for wireless communication systems, and he has authored several publications and holds multiple patents.

Electronics

Dr. Yasser Moursy is a senior research engineer at CEA-LETI. Since 2023, he has also served as a project manager for an industrial collaboration focused on power delivery network analysis for high-performance computing applications. He earned his PhD in electronics from the University of Pierre and Marie Curie in 2016 and holds MSc and BSc degrees in electronics and communications from Alexandria University, completed in 2011 and 2008. His experience includes analog design, resistive RAM peripheral circuitry, power management, and smart power ICs for automotive systems, as well as prior work at Dolphin Design.

Electronics

Dr. Abdelmejeed received his BSc in electrical engineering from Alexandria University and later completed both an MSc and a PhD in electrical and computer engineering at Cornell University. His academic work focused on advanced sensor and actuator technologies, especially gigahertz-range piezoelectric transducers integrated on-chip for acoustic impedance sensing and material property imaging. He previously served as an analog engineer at Intel within the Device Development Group, contributing to next-generation high-speed SERDES transceivers for DDR memory interfaces. As of February 2025, he had joined Apple to continue work in analog and mixed-signal circuit design.

Electronics

Dr. Mourad Elsobky (Senior Member, IEEE) received his BSc degree with honors in information engineering and technology from the German University in Cairo in 2014, and his MSc degree in communications technology from Ulm University in 2015. He received his PhD degree with honors from the University of Stuttgart in 2021 while working with IMS CHIPS as a sensor systems engineer. Since 2020, he has been an expert in analog and mixed-signal IC design and the analog lead of IMU IC development within Mobility Electronics at Robert Bosch GmbH. He authored and co-authored books, papers, and patents in flexible electronics and inertial sensor systems.

Electronics

Dr. Hossam Sarhan works on the Calibre product team as a senior product engineer. He earned his BSc in electronics and communication from Alexandria University in 2007 and his MSc in microelectronics system design from Nile University in 2009. In 2011, he joined Intel as a graduate student intern in the low-power team within Intel Labs. He completed his PhD at CEA-LETI in France in 2015 on design methodologies for high-density 3D technologies, then joined Siemens EDA in 2016. His work covers IC physical verification, reliability, ESD checks, parasitic extraction, silicon photonics, and 3D IC technologies.

Electronics

Eng. Noha Shaarawy is a digital design and verification engineer at ARM, specializing in complex low-power IP and SoC architectures. She has contributed to projects serving companies across Egypt, Asia, and Europe. She earned her bachelor's degree in electrical engineering from Alexandria University in 2013 and completed a master's degree in full-custom designs at Nile University in 2017. Early in her career, she also conducted research and published at several international conferences. Her current interests include advanced SoC topologies, low-power design techniques, and verification methodologies.

Embedded

Dr. Ahmed has worked as a control systems engineer in Egypt, Saudi Arabia, and the United States. He holds both a master's degree and a PhD in electrical engineering from the United States. His work focuses on advanced cybersecurity research for space systems, aiming to address critical challenges in the field. He also has a strong background in secure automated and autonomous systems, leveraging sensor fusion and machine learning to enhance capabilities.

Embedded

Dr. Mahmoud Elgenedy received the BSc and MSc degrees in electrical engineering from Cairo University in 2005 and 2010, respectively, and the PhD degree in electrical engineering from the University of Texas at Dallas. He currently works with Qualcomm in firmware development for 5G modems. His experience includes Bluetooth chip design, military communications standards, LTE-UE, DVB-T2, DVB-C, ZigBee, DOCSIS 3.1, C-V2X, and SERDES development across SySDSoft, MTSE, Wasiela, Broadcom, Qualcomm, and TI Kilby Labs.