Profiles

As an Electrical Engineer, I have extensive knowledge in Power Electronics, Energy Conversion, Power Systems, and Energy Flexibility. Also, I have strong experience and love for Control Theory and Optimization. I am currently studying Machine Learning and its applications.

• Power electronics
• Power systems
• Anomaly detection
• Artificial intelligence

Hakim Ghazzai, Senior Member, IEEE, joined the CEMSE Division as a Research Scientist in 2021. Previously, he held several research scholar positions with the Qatar Mobility Innovations Center (QMIC), Qatar, Karlstad University, Sweden, and Stevens Institute of Technology, NJ, USA. Since 2019, he has been on the Editorial Board of the IEEE Communications Letters and the IEEE Open Journal of the Communications Society. Since 2020, he joined the Board of IoT and Sensor Networks (a specialty section of Frontiers in Communications and Networks) as an associate editor. He is a recipient of appreciation for being an exemplary reviewer for IEEE Wireless Communications Letters in 2016 and IEEE Communications Letters in 2017. He is the recipient of the best paper awards at the 2023 IEEE International Conference on Smart Mobility and the 2017 International Conference on Advances in Vehicular Systems, Technologies, and Applications. He is the author and co-author of more than 190 publications. His general research interests include applied artificial intelligence for smart cities, the Internet of things, Intelligent Transportation Systems (ITS), mobile and wireless networks, and Unmanned Aerial Vehicles (UAVs).

Hakim's research focuses on the following areas:

• Green communications
• Smart city applications
• Artificial intelligence
• The Internet-of-Things
• Intelligent transportation systems

Hanguang Liao received the B.E. degree in microelectronics from the University of Electronic Science and Technology of China (UESTC), Chengdu, China in 2019, and the M.S. degree in Electrical and Computer Engineering from the King Abdullah University of Science and Technology (KAUST), Thuwal, Saudi Arabia, in 2021, where he is currently pursuing the Ph.D. degree with the IMPACT Laboratory, Electrical and Computer Engineering Program. 

Hanguang Liao was the First Place Winner of the 2022 IEEE AP-S Student Design Contest. He was also the Second Place Winner of the 2024 IEEE IMS Student Design Contest.

His research interests include electrically small antennas, antennas for the Internet of Things (IoT) applications, additive manufacturing, printed microwave component and mmWave components. He serves as reviewers for multiple IEEE journals of AP-S and MTT-S.

Heng Wang is a Ph.D. Candidate in Electrical and Computer Engineering of King Abdullah University of Science and Technology (KAUST), where he specializes in nanofabrication, lithography, and nanodevice processing. He earned his bachelor's degree in Microelectronic Science and Engineering from the University of Electronic Science and Technology of China (UESTC). During his academic career, he developed strong hands-on experience in cleanroom processes and supported collaborative research in advanced electronics and quantum devices.

My research focuses on the development of graphene-based geometric diodes for  terahertz (THz) rectennas, aiming to enable efficient high-frequency energy harvesting and detection. I specialize in nanofabrication techniques such as electron beam lithography  to realize ultra-small, high-performance devices. My work also integrates cleanroom process optimization and AI to advance next-generation nano devices.

Hesham Omran worked as a Researcher with the Sensors Lab after obtaining his Ph.D. degree in Electrical Engineering under the supervision of Prof. Khaled Nabil Salama from King Abdullah University of Science and Technology (KAUST), Thuwal, Kingdom of Saudi Arabia. He received the B.Sc. (with honors) and M.Sc. degrees from Ain Shams University, Cairo, Egypt, in 2007 and 2010, respectively, both in electrical engineering. From 2008 to 2011, he was a Research and Teaching Assistant with the Integrated Circuits Lab (ICL), Ain Shams University, and a Design Engineer with Si-Ware Systems (SWS), Cairo. He held internships with Bosch Research and Technology Center, Palo Alto, CA, USA, and Mentor Graphics, Cairo. He has published 20+ papers in international journals and conferences. In 2016, he rejoined the Integrated Circuits Lab (ICL), Ain Shams University, as an Assistant Professor.

Hesham's research interests include sensing microsystems, mixed-signal integrated circuit design, and FPGA-based systems.

Heyou Liu is a Ph.D. candidate in Electrical and Computer Engineering at King Abdullah University of Science and Technology (KAUST) and a member of the Communication Theory Lab, where he works under the supervision of Professor Mohamed-Slim Alouini. He obtained his bachelor’s degree in Electrical Engineering from the University of Electronic Science and Technology of China in 2021 and joined KAUST in the same year. His research interests lie in free-space optical communications and communication systems, particularly in energy-sustained airborne platforms, optical wireless backhaul, and photon-counting receiver design for next-generation non-terrestrial networks.

Liu Heyou is focusing in the area of Communications, Statistics, FSO comunications system. He’s currently working on FSO(fress space optic) system communication.

Ibrahim Abdelaziz is a Senior Research Scientist at IBM Research, where he focuses on enhancing the capabilities of Large Language Models (LLMs), particularly on improving their agentic and reasoning abilities. Prior to this, Ibrahim led several projects in the areas of knowledge graphs, question answering, knowledge representation, and reasoning. He earned his Ph.D. from KAUST, where his research focused on graph analytics and distributed computing, specifically on building distributed systems to efficiently manage, query, and mine large-scale graphs.

Ibrahim Abdelaziz's research interests included Data Mining over large datasets, Distributed Systems, Machine Learning and Pattern Recognition.

Israel's has experience in several advanced areas, including Voice Search Processing, Manifold Learning, Image Processing, Dimensionality Reduction, Optimization, and the mathematical foundations of deep learning. His primary objective is to develop professional, end-to-end technology solutions that integrate signal processing (both hardware and software), machine learning, MLOps, and robust back-end systems.