RAMI AL HAJJ received the BS degree in applied mathematics and the DEA (Diplome d’Etude Approfondie) degree in mathematical modeling and intensive computation from the Lebanese University, Beirut, in 1999 and 2001, respectively, and the PhD degree in signal and image processing from Télécom ParisTech, France, in 2007. He joined Business Machines Corporation in Beirut from 2000 till 2004, then Lebanese International University from 2007 till 2012. Currently he is an associate professor in the Department of Applied Mathematics at the American University of Middle East – Kuwait. His research interests include Machine Learning, Data Mining and pattern recognition, Optimization and Evolutionary Computation. He was one of the team whose won the Competition on Arabic handwritten word recognition in ICDAR 2005 Seoul-Korea. He is currently a Senior Member of IEEE, and an IEEE - Intelligent Computation Community member.
Dr. Mohammed Wadi is a distinguished electrical engineer with an extensive background in both academia and industry. He earned his Bachelor’s and Master's degrees in Electrical Engineering from The Islamic University of Gaza, Palestine, in 2006 and 2012, respectively, followed by a Ph.D. in Power Systems from Yıldız Technical University, Istanbul, Turkey, in 2017. Since 2017, he has been affiliated with Istanbul Sabahattin Zaim University, initially serving as an Assistant Professor, and currently holding the position of Associate Professor in the Department of Electrical and Electronics Engineering.
Dr. Mohammed Wadi has earned global recognition for his contributions to the field, having been ranked among the top 100,000 scientists worldwide, with a percentile rank in the top 2% in Electrical and Electronics Engineering according to the 2024 Elsevier Data Repository. In his academic role, he teaches a wide range of courses, including Electric Circuits I & II, Logic Design, Microcontrollers, Embedded Systems, Power Systems Analysis, Energy Transmission Systems, High Voltage Techniques, Protection in Power Systems, Renewable Energy, and Power Systems Reliability.
His research interests are focused on cutting-edge topics such as the Reliability Assessment of Power Systems, Smart Grids, Renewable Energy Integration, Fault Detection in Power Systems, Machine Learning Applications, and Fuzzy Control.