جستجوی استاد راهنمای دانشگاهی

Dr. Yousof Alhammadi is an Associate Professor at Khalifa University of Science and Technology, affiliated with the Department of Electrical and Computer Engineering. His research focuses on Information and Network Security, with expertise in intrusion detection, botnet/virus detection, RFID security, blockchain, and mobile security. He also teaches courses in Linear Algebra, C++ Programming, and Network/Computer Security. Education: Ph.D. in Computer Science (University of Nottingham, UK, 2009) M.Sc. in Telecommunications Engineering (University of Melbourne, Australia, 2003) B.Eng. in Computer Engineering (Etisalat College of Engineering, UAE, 2000) His research team includes Post-Doctoral Fellows Dr. Khouloud Eledlebi (Cyber Physical Systems) and Dr. Lamees Mahmoud AlQassem (Electrical and Computer Engineering), along with graduate student Al Anoud Almemari.

• Information Security
• Intrusion Detection
• Botnet Detection
• +۶ مورد دیگر

Dr. Sherif Moussa is a Professor and Dean at the Faculty of Engineering, Applied Science and Technology, Canadian University Dubai. He holds a PhD in Electrical and Computer Engineering from the University of Quebec and an MSc from the University of Waterloo, both in Canada. Before joining CUD in 2007, he served as a lecturer at Centennial College in Toronto. His research focuses on: Wireless Communication Computer Networks Machine Learning Digital Circuit Design His recent publications explore machine learning applications in cybersecurity, MIMO-OFDM systems, FPGA implementations, and routing protocols, reflecting a consistent emphasis on optimizing wireless and network technologies. Trends show increasing work in AI-driven solutions and intrusion detection since 2018. He received the 2015 CUD Research Excellence Award and founded the university's first robotics club. He actively contributes as a reviewer and technical committee member for international conferences.

• Wireless Communication
• Computer Networks
• Machine Learning
• +۱ مورد دیگر

Dr. Firuz Kamalov is a Professor of Mathematics at the Canadian University Dubai within the School of Engineering, Applied Science and Technology. He received his PhD in Mathematics from the University of Nebraska-Lincoln in 2011 as an Othmer Fellow and earned his BA at Macalester College as a DeWitt Wallace Scholar. Research Focus: Machine Learning, Functional Analysis, Applied Mathematics, Statistical Learning, Time Series Forecasting Editorial Roles: Managing Editor of the Gulf Journal of Mathematics, Associate Editor of the Journal of Intelligent and Fuzzy Systems, Guest Editor for multiple journals Grants: Multiple research grants exceeding USD 1 million Dr. Kamalov's research explores machine learning methodologies, particularly addressing challenges in imbalanced data, feature selection, and time series forecasting. His work bridges mathematical theory and practical applications in finance, cybersecurity, and energy economics. Recent publications demonstrate expertise in deep learning regularization , feature similarity measures , intrusion detection , and stock price prediction . His contributions focus on improving algorithm robustness and predictive accuracy in high-dimensional, imbalanced datasets. Scientific Honors: Othmer Fellow DeWitt Wallace Scholar

• Machine Learning
• Functional Analysis
• Applied Mathematics
• +۷ مورد دیگر

Dr. Rita Zgheib is an Assistant Professor at the Department of Computer Engineering and Computational Sciences, Canadian University Dubai, UAE. With 5+ years of academic and research experience across France and the UAE, she specializes in IoT healthcare applications, machine learning, and semantic reasoning. Education : PhD in Computer Science (Artificial Intelligence) from University of Toulouse, France; MSc in Information and Communication Systems from University of Toulouse. Research Interests include disease/epidemic detection, semantic middleware for IoT, ontologies, and software engineering. Her work bridges AI and healthcare for applications like pandemic management and real-time monitoring. Recent Publications focus on scalable semantic frameworks for IoT healthcare, machine learning for cybersecurity, and data-driven solutions for public health challenges. Collaborations span institutions in France, Italy, Norway, and UAE. Professional Memberships : Institute of Electrical and Electronics Engineers (IEEE); active roles in international academic committees.

• Machine Learning
• IoT Architecture
• Healthcare Applications
• +۴ مورد دیگر

Dr. Said Selim Elnaffar is an Associate Professor and Chair of the Software Design Program at the Canadian University Dubai , affiliated with the School of Engineering, Applied Science and Technology. He holds a Ph.D. and M.Sc. in Computing and Information Science from Queen's University, Canada, and has previously taught at UAE University, American University in Ras al Khaimah, and American University in the Emirates. Ph.D. in Computing and Information Science, Queen's University, Canada M.Sc. in Computing and Information Science, Queen's University, Canada Dr. Elnaffar's research spans Applied Machine Learning, Cloud Computing, Internet of Things, and Computing Education . His work focuses on semantic interoperability in IoT systems, transactional consistency in connected devices, and educational technology innovations for academic advising and posture correction. Recent publications highlight his expertise in Semantic Web , Network Protocols , and Mobile Health . Funded by governmental and industrial partners, his research appears in IEEE/ACM conferences and Springer journals like Advances in Intelligent Systems and Computing . IBM PhD Fellowship Award Best Teaching Award Best Research Paper in Computing Education Dr. Elnaffar actively contributes to academic governance as a program chair and conference committee member. His industrial certifications from Google and IBM emphasize machine learning, data science, and software development applications in both academic and enterprise settings.

• Applied Machine Learning
• Cloud Computing
• Internet of Things
• +۳ مورد دیگر