Meet the MESR mentors

Dr. Ahmed Arafa received his BSc with highest honors in electrical engineering from Alexandria University in 2010, an MSc in wireless technologies from Nile University in 2012, and both an MSc and PhD in electrical engineering from the University of Maryland, College Park, in 2016 and 2017. He also served as a postdoctoral research associate 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 research interests include communication theory, information theory, machine learning, signal processing, federated and distributed learning, semantic communications, privacy, age of information, and energy harvesting communications.

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.

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.

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.

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.

Dr. Mohamed Gaafar is a principal machine learning engineer at Revecore and previously worked as a senior data scientist at Microsoft, where he designed machine learning models for the Bing Ads team. He holds both a BSc and MSc in electrical engineering from Alexandria University, then earned 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.

Dr. Alaa Medra was born in Beheira, Egypt, in 1988. He earned his BSc with honors from Alexandria University in 2010 and his MSc from Nile University in 2012. During his master's studies, he interned at IMEC/KUL in Belgium, then completed his PhD at IMEC/VUB with highest distinction in 2018, focusing on millimeter-wave circuits for radar applications. Since 2017, he has been with Qualcomm in San Diego as a senior staff engineer in the RFIC design team. His work includes front-end modules for cellular receivers and next-generation millimeter-wave transceivers, alongside patents and publications in venues such as ISSCC, RFIC, and JSSC.

Dr. Mohamed Galal is currently a radio strategy and design technical lead at Vodafone Egypt and a part-time research scientist at the American University in Cairo. Before that, he held postdoctoral positions at KTH Royal Institute of Technology and Qatar University. He received his PhD from KAUST in 2016, his MSc in wireless communications from Nile University in 2011, and his BSc in electrical engineering from Alexandria University in 2009. He is a recipient team member of the Vodacom CEO Innovation Award 2023, a Vodafone Egypt top performer for 2022-2023, a co-author of more than 20 papers, and a long-term IEEE volunteer. His interests include machine-learning-aided communications, intelligent reflecting surfaces, multiple-antenna techniques, and communication signal processing.

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.

Dr. Ahmed M. Hamza is a principal system design engineer at TeLink Semiconductor, Egypt. He earned his BSc and MSc from Alexandria University, later completed a PhD in electrical and computer engineering at the University of Waterloo, and also holds an MBA from Wilfrid Laurier University. With more than 18 years of experience in the wireless industry and embedded systems, he focuses on real-time SDR communication systems across Bluetooth, WLAN, ATSC 3.0, DOCSIS, and 5G standards. His past roles include senior staff system architect at Coherent Logix, postdoctoral fellow at the University of Waterloo, DSP engineer at Sysdsoft, and software validation engineer at Valeo.

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.

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

Eng. Eslam Elsheikh holds a master's degree in informatics from Nile University, completed in 2023, and a bachelor's degree in electronics and communications from Alexandria University, completed in 2008. He brings more than 11 years of experience in radio access networks through work with Nokia, Huawei, VoIS, and Vodafone Egypt, followed by three years in program management at Dell Technologies. His interests now center on data analytics, product management, and project management.

Dr. Ramy is a machine learning scientist at Google, where he focuses on AI-driven healthcare solutions and health sensing for Pixel devices. Before Google, he worked at OPPO on smartwatch sensing algorithms including heart rate detection, atrial fibrillation detection, and cuffless blood pressure monitoring. He also served as a research scientist at Stanford University, working on AI-powered diagnostics and predictive models for brain disorders. He holds a PhD from the University of British Columbia and both a master's and bachelor's degree from Alexandria University.

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.

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.

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.

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.

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 current work focuses on advanced cybersecurity research for space systems, with emphasis on secure automated and autonomous systems supported by sensor fusion and machine learning. He also brings experience across hardware and software development, critical thinking, and applied problem-solving.

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.