جستجوی استاد راهنمای دانشگاهی

Mahmoud Al Qutayriمشاهده پروفایل

استاد

• Embedded Systems
• Computer Architecture
• In-Memory Computing
• +۶ مورد دیگر

Professor Mahmoud Al Qutayri serves as Associate Provost for Academic Operations at Khalifa University and holds a faculty position in the Department of Computer and Information Engineering, College of Engineering. His work focuses on high-performance and energy-efficient electronic systems through the Khalifa University System-on-Chip Center and Center for Cyber-Physical Systems Research. Education : PhD in Electronic Engineering (University of Bath, 1992), MSc in Electronic Engineering (University of Manchester, 1987), BEng in Electrical Engineering (Concordia University, 1984) Research spans AI accelerators, wireless sensor networks, and IoT optimization. He pioneered mixed-signal circuit design and contributes to edge computing hardware architectures. Professional activities include editorial board service and organizing committees for conferences like GLOBECOM, ICIP, and ISSPA. Co-author of Digital Phase Lock Loops: Architectures and Applications and editor of Smart Home Systems , with multiple patents in embedded systems.

Rabeb Mizouniمشاهده پروفایل

دانشیار

• Blockchain
• Machine Learning
• Internet of Things (IoT)
• +۴ مورد دیگر

Dr. Rabeb Mizouni is an Associate Professor at Khalifa University's Department of Electrical Engineering and Computer Science. Her research focuses on Blockchain, Machine Learning, IoT, Crowdsensing/Crowdsourcing, and Cloud Computing. She is affiliated with the Center for Cyber-Physical Systems and leads projects in secure mesh networks, radiation monitoring, energy management, and supply chain optimization. PhD, Electrical and Computer Engineering, Concordia University (2007) MSc, Electrical and Computer Engineering, Concordia University (2002) Her research spans multi-source data integration for AI models, radiation detection systems using IoT and crowdsensing, secure mobile communication via blockchain, and energy-efficient EV charging infrastructure . She collaborates with institutions like TII (Technology Innovation Institute) and emphasizes cross-disciplinary approaches in cyber-physical systems. Current research staff includes postdocs, engineers, and associates working on emerging technologies. She actively recruits candidates for PhD, MSc, and postdoc positions via email at ku.crowd.intelligence@gmail.com.

Lilas Alrahisمشاهده پروفایل

استادیار

• Hardware Security
• Design-for-Trust
• Applied Machine Learning
• +۲ مورد دیگر

Dr. Lilas Alrahis serves as an Assistant Professor in the Department of Computer and Information Engineering at Khalifa University, Abu Dhabi, UAE. Her academic trajectory includes a Postdoctoral Associate position at New York University Abu Dhabi (NYUAD) from March 2021 to August 2024, where she contributed to the NYUAD Center for Cyber Security. Her doctoral education was completed in Electrical and Computer Engineering at Khalifa University, establishing her foundational expertise in hardware systems and security protocols. Dr. Alrahis specializes in hardware security with emphasis on design-for-trust methodologies and applied machine learning techniques. Her research bridges logic locking mechanisms with graph neural networks to develop resilient integrated circuit protections against counterfeiting and tampering, addressing critical vulnerabilities in semiconductor supply chains. This work demonstrates significant interdisciplinary convergence between cybersecurity, VLSI design, and artificial intelligence. Her scientific contributions have been recognized through multiple prestigious awards including the MWSCAS Myril B. Reed Best Paper Award (2016), dual Best Paper Awards at Cyber Security Awareness Week (2019, 2021), and the Karlsruhe Institute of Technology International Excellence Fellowship (2023). Dr. Alrahis actively contributes to academic service as Associate Editor for the Integration, VLSI Journal and chairs the IEEE Women in Engineering UAE affinity group. She secured the NYUAD Collaboration Grant in July 2023 to advance her hardware security research and teaches Digital Logic Design (ECCE210) at Khalifa University, shaping next-generation engineering education.

Abdallah Berroukمشاهده پروفایل

استاد

• Computational Mechanics
• Machine Learning
• Thermal Analysis
• +۳ مورد دیگر

Professor Abdallah Berrouk is a faculty member in the Department of Mechanical & Nuclear Engineering at Khalifa University. With 16 years of university lecturing experience, he has developed PhD courses in Machine Learning for Fluid & Heat Flow and Turbulence Theory & Modelling, while supervising 7 PhD students and 13 Masters students. He has secured over $6M in research funding and leads the Gas Processing Technology theme at the KU Research Centre on Catalysis and Separation. PhD, Mechanical Engineering, University of Manchester MSc, Oil & Gas Enterprise Management, University of Aberdeen His research focuses on Computational Mechanics , Machine Learning , and Thermal Analysis , with particular emphasis on Nanofluid Mechanics , CO2 Capture , and Power Cycles Modelling . Recent publications analyze supercritical CO2 cycles, chemically reactive nanofluids, and rotating packed bed technologies for CO2 capture. Scientific awards include the ASTFE Nuclear Thermal Hydraulics CFD Award (2024) and multiple ADNOC R&D honors (2013-2014). He chairs the university's Undergraduate Studies committee and serves on editorial boards of the American Journal of Fluid Dynamics and Pollutants Journal.

Chan Yeob Yeunمشاهده پروفایل

دانشیار

• Cybersecurity
• AI Techniques for Cybersecurity
• IoT Security
• +۶ مورد دیگر

Dr. Chan Yeob Yeun serves as an Associate Professor in the Department of Electrical Engineering and Computer Science at Khalifa University of Science and Technology, where he has held a faculty position since September 2008. He concurrently leads cybersecurity initiatives as the Cybersecurity Leader of the Center for Cyber-Physical Systems (C2PS) and teaches graduate courses including Artificial Intelligence Techniques for Cyber Security and Wireless Network Security, leveraging prior industry leadership roles at LG Electronics and Toshiba. Educational Background: Ph.D. in Information Security, Royal Holloway, University of London (2000) M.Sc. in Information Security, Royal Holloway, University of London (1996) Dr. Yeun's research program pioneers security frameworks for next-generation technologies, with core expertise in AI-driven threat mitigation for IoT ecosystems, cryptographic hardening of cyber-physical systems, and vulnerability analysis in Metaverse and blockchain architectures. His work addresses critical gaps in UAV/UAM security and resource-constrained environments through lightweight cryptographic innovations, directly informing his graduate teaching and industry collaborations. As a Senior Member of IEEE, he actively shapes the field through editorial roles on multiple international journals and steering committee positions for cybersecurity conferences. His leadership at the Center for Cyber-Physical Systems drives cross-disciplinary projects securing critical infrastructure, while his extensive patent portfolio (10+ international applications) demonstrates translational impact from theoretical research to real-world security solutions.

Khaled Al Jaafariمشاهده پروفایل

استادیار

• Transportation electrification
• Power quality studies
• Power system protection
• +۲ مورد دیگر

Dr. Khaled Al Jaafari is an Assistant Professor in the Department of Electrical and Computer Engineering at Khalifa University's College of Engineering. He received his B.Sc. and M.Sc. in Electrical Engineering from the Petroleum Institute (Abu Dhabi) with distinction in 2006 and 2011, followed by a Ph.D. in Electrical and Computer Engineering from Texas A&M University in 2016. Ph.D., Electrical and Computer Engineering, Texas A&M University (2016) M.Sc., Electrical Engineering, Petroleum Institute (2011) B.Sc., Electrical Engineering, Petroleum Institute (2006) His research focuses on transportation electrification, power quality studies, power system protection, and electric machine design. He has contributed to innovations in DC-DC converters, predictive battery control systems, and grid-tied power electronics for renewable energy applications. Dr. Al Jaafari's recent publications demonstrate expertise in power electronics, electric vehicle systems, and control algorithms. He has co-authored works on bidirectional DC-DC converters, predictive control systems, and harmonic mitigation strategies. Sheikh Rashid Award for Outstanding Scientific Achievement (2018) ADEK Fund (Dhs 300,000) (2019) KU-KAIST Joint Research Award (Dhs 2,760,000) (2019) Virtual Research Institute Fund (Dhs 54,256,974) (2022) He has supervised students including Iehab Talal Mohamed Ahmed Suliman (MSc) and Hamdihun Abdie Dawed (PhD). His work involves collaborations through the Advanced Power and Energy Center at Khalifa University.

Abdulhadi Shoufanمشاهده پروفایل

دانشیار

• Embedded Security
• Cryptographic Hardware
• Post-Quantum Cryptography
• +۶ مورد دیگر

Dr. Abdulhadi Shoufan is an Associate Professor at the Computer and Information Engineering Department of Khalifa University . His research spans embedded security , cryptographic hardware , and secure drone operations , alongside innovative contributions to educational technology and lecture-free instruction . PhD in Computer Engineering from Technische Universitaet Darmstadt (2007) Director of the Learn-Smartly.com platform (2018–present) Research funded by TII , UAE Ministry of Education , and Hess State Ministry His recent work focuses on zero-trust architectures for chip-to-chip communication, AI-driven drone identification , and generative AI in education . Key trends include applying cryptographic methods to hardware security and leveraging YouTube for quality-controlled educational content delivery. Scientific Awards : Multiple teaching awards from Technische Universitaet Darmstadt Current Projects : Chip-to-Chip Zero-Trust Architecture (TII-funded) Lecture-Free Instruction (Mohammed Bin Rashid Smart Learning Program) LEEVs (YouTube content endorsement system)

Menatalla Abououfمشاهده پروفایل

مدرس

• Artificial Intelligence
• Cyber Security
• Crowd Sourcing
• +۳ مورد دیگر

Menatalla Abououf serves as a Lecturer in the Computer Science department at Khalifa University, Abu Dhabi, UAE, where she teaches Data Science and AI (COSC202). Previously, she worked as a Research Engineer at the university's Center for Cyber-Physical Systems from 2018 to 2024. Education: B.Sc. in Electrical and Computer Engineering, Khalifa University of Science and Technology M.Sc. in Electrical and Computer Engineering, Khalifa University of Science and Technology Research Focus: Her work centers on Artificial Intelligence and Internet of Things applications, with significant contributions to Mobile Crowd Sensing , Cyber Security , and Blockchain systems. She has developed specialized training programs in AI, networking, and security protocols while advancing research in distributed sensing architectures. Scientific Awards: No awards documented in source materials Academic Guidance: No student advisement records or research grants specified in available documentation. Research Affiliations: Actively contributes to the Center for Cyber-Physical Systems and Robotics and Intelligent Systems Institute, focusing on interdisciplinary cyber-physical security solutions.

• Blockchain
• Federated Learning
• Crowd Sensing
• +۶ مورد دیگر

Prof. Hadi Otrok is a Senior Member of IEEE and serves as a Professor in the Department of Electrical Engineering and Computer Science (EECS) at Khalifa University. He holds Affiliate Associate Professor roles at the Concordia Institute for Information Systems Engineering (Concordia University, Canada) and the Electrical Department at École de Technologie Supérieure (ETS, Canada). Associate Editor: IEEE TNSM, IEEE TSC, Ad-hoc Networks (Elsevier) Former Editorial Board Member: IEEE Networks, IEEE Communication Letters Co-Chaired Committees: GlobeCom, IWCMC, WiMob Founder/Chair: K–12 Ministry of Education (MoE) Computer Science - AI Framework His research focuses on Blockchain , Federated Learning , Crowd Sensing/Sourcing , and Secure Cloud/Fog Computing using Game Theoretical Models . He explores applications in Internet of Vehicles (IoV) , MANET/VANET , and Smart Energy Systems for electric vehicle charging infrastructure. Prof. Otrok collaborates with the Center for Cyber-Physical Systems at Khalifa University and the Technology Innovation Institute (TII) in Abu Dhabi. He has active research projects in radiation monitoring systems, blockchain-based supply chain frameworks, and secure mesh network communication applications.

Hasan Al Marzouqiمشاهده پروفایل

استادیار

• Remote Sensing
• Deep Learning
• Artificial Intelligence
• +۲ مورد دیگر

Dr. Hasan Al Marzouqi is an Assistant Professor in the Department of Computer Science at Khalifa University's College of Engineering. His research focuses on image and signal processing, deep learning, computer vision, bioinformatics, and digital rock physics. His projects include innovative approaches such as sedenion-valued neural networks for forecasting, deep hypercomplex networks for spatiotemporal data, and transformer-CNN hybrid models for remote sensing segmentation. These efforts have secured top positions in international competitions like NeurIPS Traffic4cast and ACM CIKM Weather4cast. Associate Editor: IEEE Transactions on Image Processing, IEEE Access Executive Editor: Engineered Science Senior Member: IEEE Member: IEEE Signal Processing Society His work emphasizes parameter-efficient neural networks using hypercomplex numbers, with applications in weather, traffic, and medical imaging (e.g., Alzheimer’s disease prediction via 3D vision transformers).

Jad Bassousمشاهده پروفایل

مدرس ارشد

• Mathematics
• Computer Science
• Networking
• +۳ مورد دیگر

Jad Bassous is a Senior Lecturer in the Department of Mathematics at Khalifa University's College of Arts and Science, where he has been teaching Calculus I (MATH111), Calculus II (MATH112), and Engineering Mathematics (MATH232) since January 2022. Previously, he taught Financial and Strategic Analysis at Sorbonne University Abu Dhabi and served as Visiting Faculty (2018-2019), Lecturer (2019 onwards), and Senior Lecturer (2022 onwards). Engineering Degree in Computer Science, Electronics, and Robotics from ESIEA (Paris, France) MSc in Networking from Université Pierre et Marie Curie (Paris VI, France) MBA from Ecole Nationale des Ponts et Chaussées (Paris, France) His expertise spans mathematics education, networking, robotics, and financial analysis. At Khalifa University, he actively contributes to academic committees and community initiatives.

Khaled Salahمشاهده پروفایل

استاد

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

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 .

Shakti Singhمشاهده پروفایل

مدرس ارشد

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

Said Selim Elnaffarمشاهده پروفایل

دانشیار

• Applied Machine Learning
• Cloud Computing
• Internet of Things
• +۳ 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.

Abdulhamid M.A. Alsbakhiمشاهده پروفایل

مدرس

• Information Technology Management
• Computer Networking Engineering
• Educational Technology
• +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.