جست‌وجوی استاد و پژوهشگر

Baker Mohammadمشاهده پروفایل

استاد

• Very-Large-Scale Integration (VLSI)
• Hardware Accelerators for Artificial Intelligence
• Hardware Security
• +۷ مورد دیگر

Prof. Baker Mohammad serves as Professor and Director of the System on Chip Lab in the Department of Computer and Information Engineering at Khalifa University. With over 15 years of industrial experience at Intel and Qualcomm designing microprocessors and DSP chips, he bridges academic research with real-world engineering challenges in high-performance computing and low-power systems. His educational background includes: Ph.D. in Electrical and Computer Engineering, University of Texas at Austin (2008) M.S. in Electrical and Computer Engineering, Arizona State University B.S. in Electrical Engineering, University of New Mexico Dr. Mohammad's research spans cutting-edge domains where VLSI design converges with AI acceleration and emerging memory technologies . His work pioneers Memristor applications in environmental sensing (radiation, vacuum, glucose) and neuromorphic computing, while advancing energy harvesting systems for wearable electronics. The integration of in-memory computing with security primitives represents a paradigm shift in hardware design, moving beyond traditional CMOS limitations. His publication trajectory reveals accelerating focus on self-powered neuromorphic systems and RRAM-based architectures, with recent work (2021-2023) emphasizing hardware-software co-design for edge AI. Over 75% of his recent publications involve cross-disciplinary collaborations spanning materials science, chemistry, and biomedical engineering. Notable scientific recognition includes: IEEE TVLSI Best Paper Award 2016 IEEE MWSCAS Myrill B. Reed Best Paper Award Qualcomm Qstar Award for Performance Leadership KUSTAR IP Excellence Award Multiple SRC Techon Best Session Papers As a dedicated mentor, he has supervised over 15 graduate students while securing competitive funding from Khalifa University, ADEK, Qualcomm, Tii, and UAE space agencies. His grant portfolio demonstrates exceptional translational impact, converting fundamental research in memristive devices into drone flight computers and medical sensors. Current projects integrate academic rigor with industrial deployment timelines. The System on Chip Lab operates as a multidisciplinary hub where semiconductor physicists collaborate with AI researchers to develop RISC-V-based secure processors and piezoelectric nanogenerator systems. Recent expansions include partnerships with Tii for aerospace applications and medical device startups for glucose monitoring technology.

Shihab Jimaaمشاهده پروفایل

دانشیار

• AI-based performance enhancement of LP-WAN technologies for IoT
• 6G wireless communications
• Atrial Fibrillation Data Analysis and Validation
• +۳ مورد دیگر

Dr. Shihab Jimaa is an Associate Professor at the Department of Computer and Information Engineering , Khalifa University, and currently serves as the Associate Dean of UG Studies at the College of Computing and Mathematical Sciences. He has held academic positions including Research Fellow, Senior Lecturer, and Assistant Professor at institutions such as Loughborough University, Warwick University, and Queen Mary University of London. PhD : Digital Communications, Loughborough University (1990) MSc : Digital Communication Systems, Loughborough University (1986) PGCE : Post Graduate Certificate in Higher Education, University of Hertfordshire (1998) Dr. Jimaa’s research focuses on energy-efficient wireless communication systems , AI-driven 6G technologies , and machine learning applications for early detection of Atrial Fibrillation . His work spans adaptive filtering, channel estimation, and signal processing in both telecommunications and biomedical engineering domains. Current projects include optimizing LP-WAN technologies for IoT scalability and developing deep learning-based scheduling techniques. His research also investigates terahertz communications , optical wireless networks , and ultra-massive MIMO for next-generation systems. He has contributed to 3 book chapters and over 100 conference/journal papers. IEEE Senior Member HEA Fellow Recipient of 1 patent Dr. Jimaa has supervised 30 MSc, 3 MPhil, and 4 PhD students . He actively participates in academic leadership as TPC Chair for IEEE conferences and previously served as Guest Editor for the International Journal of Communication Systems . Affiliated centers include the 6G Research Center and Center for Cyber-Physical Systems .

Omar Alhusseinمشاهده پروفایل

استادیار

• Network Automation and Intelligence
• Network Resource Management and Optimization
• AI and Networking
• +۲ مورد دیگر

Dr. Omar Alhussein serves as an Assistant Professor in the Department of Computer Science at Khalifa University. Previously, he worked as a Senior Research Engineer at Huawei Technologies Canada (2020-2023), where he developed machine-learning solutions for networks and filed six patent applications. His educational qualifications include: Ph.D. in Electrical and Computer Engineering, University of Waterloo (2020) M.A.Sc. in Engineering Science, Simon Fraser University (2015) B.Sc. in Electrical and Computer Engineering, Khalifa University (2013) Research focuses on the convergence of networks and artificial intelligence: Network Automation and Intelligence Network Resource Management and Optimization AI and Networking NFV/SDN Wireless Networks He employs interdisciplinary methods to advance network intelligence through fundamental research principles. Scientific recognition includes: Outstanding Individual Award (Huawei Technologies) Quality Research Award (Huawei Technologies) Dr. Alhussein mentors PhD candidates and holds six patent applications for probabilistic/distributed AI in next-generation networks and AI trustworthiness. He actively recruits PhD students for ongoing research. He maintains active affiliations with Khalifa University's 6G Research Center and Center for Cyber-Physical Systems.

Saeed Alameriمشاهده پروفایل

استادیار

• Nuclear Reactor Physics
• Nuclear Fuel Materials
• Nuclear Reactor Design
• +۵ مورد دیگر

Dr. Saeed Alameri serves as Assistant Professor in Mechanical & Nuclear Engineering at Khalifa University while holding pivotal national roles: Director of the Emirates Nuclear Technology Center (ENTC), Manager of the Gulf Nuclear Energy Infrastructure Institute (GNEII), member of the National Committee for Radiation Protection (RPC), and Theme 4 Lead for ENTC. His work directly supports the UAE's Barakah nuclear power program. Educational background: PhD in Nuclear Engineering, Colorado School of Mines (2015) MEng in Nuclear Engineering, Colorado School of Mines (2012) BSc in Electrical Engineering, UAE University (2008) His research centers on nuclear reactor physics and advanced fuel systems , with critical focus areas including Accident Tolerant Fuels (ATFs), Cr-coating techniques for zirconium alloy cladding, and tensor-network algorithms for neutron transport. Current projects target enhanced safety for APR1400 reactors through oxidation-resistant cladding and computational optimization of fuel-assembly shuffling, adhering to the 'do no harm' principle for operational reliability. No scientific awards were documented in the source material. Dr. Alameri actively mentors six graduate students (two PhD and four MSc candidates) while leading specialized ENTC research teams. His supervisory scope spans neutronics analysis, thermal-hydraulic evaluations, and severe-accident material testing. Current projects involve international collaboration through GNEII to advance nuclear infrastructure, with direct applications to UAE's operational reactors. He directs research at the Emirates Nuclear Technology Center and Gulf Nuclear Energy Infrastructure Institute, focusing on APR1400 reactor optimization and next-generation fuel technologies through multidisciplinary teams combining computational modeling and experimental validation.

Tamer Mohamed Abdellatif Mohamedمشاهده پروفایل

استادیار

• Applied Artificial Intelligence (AI)
• Machine Learning
• Information Retrieval (IR)
• +۲ مورد دیگر

Dr. Tamer Mohamed Abdellatif Mohamed is an Assistant Professor and Program Coordinator at the Canadian University Dubai , affiliated with the School of Engineering, Applied Science and Technology and the Department of Computer and Networking Engineering Technology . He holds a PhD in Electrical and Computer Engineering from the University of Western Ontario, Canada, and a professional certificate in STEM teaching at the university level from the same institution. Education : PhD in Electrical and Computer Engineering (University of Western Ontario, Canada); STEM Teaching Certificate (University of Western Ontario). His research expertise spans applied artificial intelligence (AI) , machine learning , information retrieval (IR) , software analytics , and mining software repositories . With over 20 years of industry experience at multinational corporations like Hewlett-Packard Enterprise, he contributes practical insights as an experienced Project Manager and Software Practitioner. Dr. Mohamed has published extensively in top-tier journals and conferences. Prior leadership roles include Vice President of Professional Development at PMI, London Chapter and Treasurer at IEEE Young Professional, London Chapter . He is based at the university's Hub G,10 location, with contact via tamer.mohamed@cud.ac.ae or +971(04)7096822.

Sherif Moussaمشاهده پروفایل

استاد

• Wireless Communication
• Computer Networks
• Machine Learning
• +۱ 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.

Azizulrahman Shafiqurrahmanمشاهده پروفایل

پژوهشگر ارشد

• Power Electronics
• Electric Vehicles
• Microgrids
• +۳ مورد دیگر

Azizulrahman Shafiqurrahman serves as a Post Doctoral Fellow (Research Fellow) in the Department of Electrical Engineering at Khalifa University, Abu Dhabi, UAE. He transitioned to his current Research Engineer role in November 2022 after completing a Research and Teaching Assistant position from August 2020 to July 2022. His academic credentials include: M.Sc. in Electrical and Computer Engineering from Khalifa University (2022) B.Sc. in Electrical and Electronics Engineering from the University of Sharjah (2020) Shafiqurrahman's research centers on power electronics applications for sustainable energy systems, with specialized focus on electric vehicle infrastructure , microgrid stability , and power quality optimization . His work develops innovative solutions for vehicle-to-vehicle energy transfer, decentralized microgrid control, and high-efficiency GaN-based converters, directly addressing integration challenges of renewable energy sources and electric transportation networks. Analysis of his 2019-2024 publications reveals three dominant research trajectories: (1) Advanced control methodologies for islanded microgrids addressing load imbalance and power quality issues; (2) Bidirectional energy transfer systems for electric vehicles leveraging on-board power electronics; (3) High-frequency converter designs using wide-bandgap semiconductors for wireless power applications. His scientific recognition includes: Khalifa University's Graduate Research/Teaching Scholarship (2020) Shafiqurrahman contributes to academic discourse as a reviewer for leading journals and conferences while teaching Introduction to Computing using Matlab (ENGR112) . His research activities are anchored in the Advanced Power and Energy Center, where he collaborates on next-generation power systems development. As a core member of Khalifa University's Advanced Power and Energy Center, he actively participates in research initiatives spanning smart grid technologies, renewable energy integration, and electric vehicle infrastructure development, utilizing state-of-the-art power electronics laboratories for experimental validation.

Yousof Alhammadiمشاهده پروفایل

دانشیار

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

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.

Nejib Ben Hadj-Alouaneمشاهده پروفایل

استاد

• Software Engineering
• Cybersecurity
• Web Services
• +۶ مورد دیگر

Dr. Nejib Ben Hadj-Alouane is a Professor of Computer Engineering and Program Director for the Master of Science in Artificial Intelligence at AUD's School of Engineering. He previously held professorial roles at Tunisia's National Engineering School of Tunis (ENIT) and National School of Computer Sciences (ENSI), where he contributed to program modernization and PhD/Master’s program development. His industry experience includes R&D roles at Dow Chemical Corporation and software development for traffic simulation systems. He is an entrepreneur, co-founding a software startup focused on human resource management for mining operations. Education: Ph.D. in Computer Engineering, University of Michigan, Ann Arbor, USA MSE in Computer Engineering, University of Michigan, Ann Arbor, USA BSE in Computer Engineering, Syracuse University, USA Research Focus: Dr. Alouane's work spans cybersecurity concepts like non-interference and opacity, optimization of software and cloud/fog infrastructure (e.g., genetic algorithms for game server placement), and machine learning applications in smart agriculture. He emphasizes water conservation through adaptive irrigation systems and has authored over 90 peer-reviewed publications. Advising & Entrepreneurship: Mentor to over 20 PhD/Master’s graduates and founding member of a Canadian mining HR software startup. His entrepreneurial efforts include architectural leadership for industrial ERP integration in Tunisia.

Aamna AlShehhiمشاهده پروفایل

استادیار

• Artificial Intelligence
• Machine Learning
• Big Data Analytics
• +۷ مورد دیگر

Dr. Aamna AlShehhi serves as an Assistant Professor in the Department of Biomedical Engineering and Biotechnology at Khalifa University, where she has pioneered AI-driven healthcare solutions since joining in 2020. Her interdisciplinary expertise bridges electrical engineering, computer science, and clinical medicine through innovative research collaborations with MIT, Imperial College London, and Novartis. Her educational foundation includes: Bachelor's in Software Engineering, United Arab Emirates University (2009) Master's in Computing and Information Science, Masdar Institute (MIT collaboration) (2013) PhD in Interdisciplinary Engineering, Masdar Institute (MIT collaboration) (2017) Dr. AlShehhi's research centers on artificial intelligence for healthcare transformation , with emphasis on neurodegenerative disease prediction, rare disease diagnostics, and wearable-based gait analysis. She develops constrained deep learning models for Alzheimer's biomarker discovery, self-supervised frameworks for emotion recognition using smartphone data, and physics-informed neural networks for biomechanical analysis. Her work integrates multimodal data including fMRI, genomic sequences, and real-world behavioral metrics to address critical gaps in dementia screening, cancer detection, and mental health monitoring. Analysis of her 2023-2025 publications reveals three dominant trends: (1) Explainable AI architectures for clinical decision support, particularly constrained graph neural networks analyzing comorbidity networks in Alzheimer's; (2) Multimodal sensor fusion systems combining wearables, keystroke dynamics, and fMRI for neurological assessment; (3) Self-supervised learning approaches enabling robust performance with limited medical data. Her work consistently targets real-world clinical deployment through portable systems like smart gait analyzers and remote depression screening tools. Dr. AlShehhi actively mentors the next generation of biomedical engineers: Ferial J. Abuhantash (Ph.D. candidate) Khalid Ahmed Abdulla (Master's student) Her research is supported through strategic partnerships with Novartis Institute for Biomedical Research and collaborative grants enabling AI-driven drug repurposing for dementia and genomic cancer detection. She leads projects analyzing skin lesions for melanoma screening and developing deep learning models for early-stage cancer detection using genomic data. As a core member of Khalifa University's Healthcare Engineering Innovation Group , she directs a multidisciplinary team including Postdoctoral Fellow Dr. Sherlyn Jemimah and Research Assistant Chahd Maher Musthafa Chabib. Current initiatives focus on creating deployable AI systems for clinical settings, with ongoing work on portable gait assessment tools for rehabilitation centers and real-time emotion recognition platforms for mental health monitoring.

Arafat Aldweikمشاهده پروفایل

استاد

• Wireless Communications
• Intelligent Transportation Systems
• Internet of Things
• +۵ مورد دیگر

Dr. Arafat Aldweik is a Professor in the Department of Computer and Information Engineering at Khalifa University in the United Arab Emirates. He also holds the title of Research Professor at Western University and the University of Guelph in Canada, and is a Visiting Research Fellow at Newcastle University in the UK since 2006. M.S. in Electrical Engineering from Cleveland State University (Summa Cum Laude, 1998) Ph.D. in Electrical Engineering from Cleveland State University (Magna Cum Laude, 2001) Dr. Aldweik’s research focuses on Wireless Communications , Digital Communications , Internet of Things (IoT) , Error Correction Coding , UAV Communications , and Physical Layer Security , with a strong emphasis on 6G networks and physical unclonable functions (PUFs). He has raised over $3.6M in research funding and published more than 170 articles, with notable projects including Hybrid High-Density WSNs , Cloud-Based Micro-Stations for Green ITS , and PHY Layer Security for UAV Networks . Scientific Awards & Honors Leader-Founder Award, UAE (2019) Best Academic Research Award, Dubai Sustainable Transportation (2017) Fulbright Scholarship (1996) Hijjawi Award for Applied Sciences, Jordan (2004) Best Paper Awards at major conferences Senior Member, IEEE Dr. Aldweik’s editorial roles include Editor for IEEE Transactions on Vehicular Technology and IET Communications. He is also a Registered Professional Engineer in Ontario, Canada, and co-founder of two startups with eight US patents.

Mohammad Namiمشاهده پروفایل

دانشیار

• Cognitive Neuroscience
• Clinical Neuropsychology
• Sleep Neuroscience
• +۳ مورد دیگر

Dr. Mohammad Nami serves as Associate Professor of Cognitive Neuroscience and Clinical Neuropsychology at the School of Health Sciences and Psychology, Canadian University Dubai. He concurrently directs the Brain, Cognition, and Behavior Unit at BrainHub UAE and maintains associate membership in the Harvard Medical School Alumni network. Previously, he held leadership roles as Head of Neuroscience Department and Vice Chancellor for Research at Shiraz University of Medical Sciences. His academic credentials include: PhD in Cognitive Neuroscience from Institute for Cognitive Science Studies Dr. Nami's research centers on the interdependence of mental health and sleep health, with primary expertise in cognitive neuroscience, clinical neuropsychology, and sleep disorder interventions. He advocates that cognitive and affective potential can only be fully realized through integrated sleep-mental health approaches, emphasizing neuro-cognitive fitness and neurological aspects of sleep pathologies. His work bridges clinical practice with neuroscience to develop practical interventions for cognitive optimization. Analysis of his 2023-2025 publications reveals three dominant research trajectories: (1) Sleep-neuroscience interfaces using quantitative EEG for insomnia and sleep disorder diagnostics, (2) Cognitive performance assessment in safety-critical occupations like aviation and industrial control rooms, and (3) Neurocognitive rehabilitation techniques for stroke, cerebral palsy, and neurodegenerative conditions. His methodology frequently combines clinical trials with advanced neuroimaging and computational modeling. As an associate member of Harvard Medical School Alumni and Harvard Alumni Entrepreneurs, Dr. Nami contributes to academic-industry knowledge translation. The provided text does not reference specific scientific awards. With 173 peer-reviewed publications (H-index 27, i10-index 77 as of August 2025), his research program demonstrates significant scholarly impact. While student mentorship details are absent, his leadership of the Brain, Cognition, and Behavior Unit suggests active supervision of research personnel. His publication record indicates consistent grant funding, particularly for sleep-neuroscience and occupational safety projects. The Brain, Cognition, and Behavior Unit at BrainHub UAE functions as his primary research hub, conducting studies on sleep-cognition interactions, neurocognitive fitness metrics, and real-world applications of neuroscience findings. Current initiatives appear focused on digital health tools for stress management and neurophysiological monitoring in occupational settings.

Firuz Kamalovمشاهده پروفایل

استاد

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

Rita Zgheibمشاهده پروفایل

استادیار

• Machine Learning
• IoT Architecture
• Healthcare Applications
• +۴ 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.

Jorge Diasمشاهده پروفایل

استاد

• Robotics
• Artificial Intelligence
• Artificial Perception
• +۴ مورد دیگر

Jorge Dias is a Full Professor at Khalifa University (Abu Dhabi, UAE) specializing in Robotics and Artificial Intelligence, with a focus on Artificial Perception. He coordinates the Khalifa University Center of Autonomous Robotic Systems (KUCARS) and has contributed to robotics advancements since 1984. Habilitation/Doctor of Science (2011) & PhD (1994) in Electrical Engineering from University of Coimbra, Portugal His research spans Robotics for Sustainability , Computer Vision , and Social Robots , with over 300 publications. Recent work emphasizes autonomous navigation, underwater robotics, and neuromorphic computing. He has led international projects like the ECOBOTICS.sea RISE Marie Curie initiative and coordinated European consortia for elderly-inclusive robotics ("Social Robot", "GrowMeUP"). Current teaching includes courses in Algorithmic Robotics , Autonomous Systems , and Robotic Perception .