جستجوی استاد راهنمای دانشگاهی

Prof. Khaled Salah is a full professor at the Department of Computer and Information Engineering , Khalifa University , UAE, and serves as Deputy Director of the Center for Supply Chain & Operations Management (DSOM) . His research spans blockchain, cloud computing, cybersecurity, and performance modeling. Education B.Sc. in Computer Engineering (minor in Computer Science), Iowa State University, USA (1990) M.Sc. in Computer Engineering, Illinois Institute of Technology, USA (1994) Ph.D. in Computer Science, Illinois Institute of Technology, USA (2000) Research Focus : Blockchain, digital twins, NFTs, GenAI, LLMs, cloud computing, digital supply chain, cybersecurity, sustainability, and performance modeling of computing systems. His work has earned global recognition, including top rankings in SciVal and Stanford-Elsevier lists. Scientific Awards : IEEE Consumer Electronics Magazine Best Paper Award (2023) IET Networks Premium Award (2020) Multiple Khalifa University and KFUPM research awards Affiliations : Member of IEEE Blockchain Education Committee and IEEE Decentralized Metaverse Initiative; Associate Editor of IEEE Blockchain Technical Briefs and International Journal Blockchain in Healthcare. Affiliated with the Center for Cyber-Physical Systems and Socio-Technical Systems Lab .

• Blockchain
• Digital Twins
• NFTs
• +۷ مورد دیگر

Dr. Shakti Singh is a Senior Lecturer in the Department of Electrical Engineering and Computer Science at Khalifa University of Science and Technology in Abu Dhabi, UAE. Joining the faculty in 2010, he has over two decades of experience in semiconductor devices, artificial intelligence, and emerging technologies. Education: Ph.D., M.Sc., and B.Sc. in Electrical and Computer Engineering from Purdue University (USA, 2010, 2003, 2000) Research Interests span semiconductor device modeling/fabrication, IoT sensor networks, UAV-based systems, blockchain applications, and AI-driven technologies. His work addresses challenges in electric vehicles, environmental monitoring, nuclear safety, and supply chain management. Community Impact includes engineering projects for government and nonprofit organizations, emphasizing service-oriented design. Scientific Awards : Teaching Award, Khalifa University Teaching Award, Purdue University Dr. Singh supervises multidisciplinary students (Ph.D., M.Sc., and undergraduates) and collaborates with postdocs/research associates on funded projects. He is affiliated with the Center for Cyber-Physical Systems and the System-on-Chip Lab .

• Semiconductor Devices
• Artificial Intelligence
• Internet of Things
• +۸ 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

Mr. Abdulhamid M.A. Alsbakhi is a Lecturer at Canadian University Dubai, affiliated with the School of Engineering, Applied Science and Technology. He holds a Master's degree in Information Technology Management & Governance (MITGOV) and a Bachelor's in Computer and Networking Engineering Technology (CNET) from the same institution. Master in Management & Governance Bachelor of Computer and Networking Engineering Technology With nearly a decade of experience in educational IT, his research and professional focus spans technology governance, networking systems, and the integration of applied science in educational frameworks. His expertise bridges technical infrastructure with academic pedagogy in technology-driven environments.

• Information Technology Management
• Computer Networking Engineering
• Educational Technology
• +۳ مورد دیگر

Dr. Martin Andreoni serves as an Adjunct Professor in the Department of Computer Science at Khalifa University and Principal Researcher at the Secure Systems Research Center (SSRC) within the Technology Innovation Institute (TII) in Abu Dhabi, UAE. Previously, he worked as a researcher at Samsung R&D Institute Brazil. Dr. Andreoni holds the following academic qualifications: PhD jointly awarded by Sorbonne Université (LIP6), France and Federal University of Rio de Janeiro (COPPE/UFRJ), Brazil (2018) Master of Science in Electrical Engineering from Federal University of Rio de Janeiro (COPPE/UFRJ), Brazil (2014) Bachelor of Science in Electronic Engineering from Universidad Nacional de San Juan (UNSJ), Argentina (2011) His research focuses on integrating machine learning with security frameworks for autonomous systems and networks. Key interests include Security, Machine Learning, Network Security, and Secure Autonomous Systems, with emphasis on developing robust security solutions for emerging autonomous technologies through advanced machine learning techniques. Dr. Andreoni holds significant leadership roles in academic communities including Workshop Chair for ACNS'24 and three-year co-chair of SPICES organizing committee (2022-2024). He serves on Technical Program Committees for SBRC, SBSeg, IEEE NoF, IEEE CsNet, IEEE CIoT 2023, ICIN, IFIP Network, IEEE IWCMC 2023, and ICLR 2025, while also contributing as Guest Editor for IEEE JSAC Special Issue and Associate Editor for Annals of Telecommunications (2024). At TII, Dr. Andreoni contributes to cutting-edge research within the Secure Systems Research Center (SSRC), focusing on security architectures for autonomous systems and next-generation network security solutions.

• Security
• Machine Learning
• Network Security
• +۱ مورد دیگر

Prof. Azzam Mourad is a Visiting Professor of Computer Science at Khalifa University in Abu Dhabi, with a focus on emerging technologies and cybersecurity. He has led numerous research and industrial projects, contributing to over 160 publications in top-tier venues. Ph.D. in Electrical and Computer Engineering, Concordia University M.Sc. in Computer Science, Laval University, Canada B.S. in Computer Science, Notre Dame University, Lebanon His research spans Cybersecurity , Federated Machine Learning , Applied AI , and optimization of Intelligent Service/Network/Computation in domains like Internet of Things , Cloud/Fog/Edge Computing , and Vehicular/Mobile Systems . Prof. Mourad has received major international, national, and local grants to support his graduate students and research. He is affiliated with Khalifa University’s research centers and leads a team of 12 postdoctoral fellows, Ph.D., and M.Sc. students across multiple institutions including Lebanese American University and Polytechnique Montreal. World’s Top 2% Scientists List (Stanford University) Multiple research excellence awards

• Cybersecurity
• Federated Machine Learning
• Applied AI
• +۵ مورد دیگر

Dr. Muhammad Bakr Abdelghany serves as a Tenure-track Research Scientist in the Department of Electrical Engineering at Khalifa University of Science and Technology, UAE, while on leave from Minia University where he holds an Assistant Professor position. His research bridges control theory, renewable energy systems, and cyber-physical applications with emphasis on hydrogen technologies and embedded solutions. His academic qualifications include: Ph.D. in Information Technologies for Engineering, University of Sannio, Italy (2022) M.Sc. in Electrical Engineering, Minia University, Egypt (2015) B.Sc. in Computers and Systems Engineering, Minia University, Egypt (2010) Dr. Abdelghany's research integrates Control Systems (MPC, optimal control, embedded implementations), Green Hydrogen Production , and Cyber-Physical Systems with advanced Modeling and Simulation of energy infrastructure. His work on hydrogen storage, mini-grids, and formal verification methods addresses critical challenges in renewable energy transition and industrial automation, significantly impacting hydrogen and control systems communities. His scientific recognition includes: Outstanding Reviewer for IEEE Transactions on Sustainable Energy (2023) Outstanding Reviewer for IEEE Transactions on Network Science and Engineering (2024) With 15 supervised/co-supervised graduate students, Dr. Abdelghany leads international projects (HAEOLUS, H2GLASS, H2STEEL) through industry partnerships with Emirates Global Aluminium, Emirates Steel Arkan, and Ohmium International. His collaborations extend to Masdar and Etihad Rail for transportation-energy integration, and with KU/TU Dortmund on energy infrastructure optimization tools. He actively contributes to Abu Dhabi Sustainability Week and Arctic Circle initiatives through the Emirates Polar Program. Current initiatives include establishing an Abu Dhabi-based consulting startup for energy simulation tools and developing novel Ph.D. research pathways in renewable energy systems at Khalifa University.

• Control Systems
• Cyber-Physical Systems
• Green Hydrogen Production
• +۵ مورد دیگر

Dr. Yousuf Alsalami is an Assistant Professor at Khalifa University in Abu Dhabi, UAE, affiliated with the Department of Electrical Engineering and Computer Science. He holds a PhD in Computer and Electrical Engineering from Khalifa University (2016), an MSc in Security, Coding, and Mathematics from Grenoble Institute of Technology (2009), and a BSc in Electrical Engineering from the University of Southern California (2006). PhD, Computer and Electrical Engineering, Khalifa University (UAE), 2016 MSc, Security, Coding, and Mathematics, Grenoble Institute of Technology (France), 2009 BSc, Electrical Engineering, University of Southern California (USA), 2006 His research focuses on Cryptography , Cyber Security , and Network Security , with additional expertise in Digital Signal Processing , Optimization Problems , and Algorithm Design and Analysis . He has contributed to academic instruction through courses such as Calculus II, Data Structures, and Object-Oriented Programming. Dr. Alsalami is affiliated with the Center for Cyber-Physical Systems and has previously held roles at the Telecommunications and Digital Government Regulatory Authority (TDRA) and Emirates Advanced Investments Group. He has supervised graduate student Saeed Altuneiji in Cyber Security research.

• Cyber Security
• Cryptography
• Network Security
• +۳ مورد دیگر