جستجوی استاد راهنمای دانشگاهی

Prof. Hadi Susanto is a distinguished academic in Applied Mathematics at Khalifa University , with adjunct professorships at Universitas Indonesia and Institut Teknologi Sumatera. He holds a PhD from the University of Twente and has held positions at the University of Massachusetts Amherst, University of Nottingham, and University of Essex, where he was promoted to Professor in 2014. He serves as Associate Editor for journals including IMA Journal of Applied Mathematics and Frontiers in Photonics . PhD: University of Twente (2006) MSc: University of Twente (2003) BSc: Institut Teknologi Bandung (2001) Associate Fellow, Higher Education Academy (2013) His research spans Dynamical Systems , Nonlinear Waves , and Mathematical Modelling , with applications in Physics , Biology , and Optics . Recent projects include machine learning for dynamical systems and origami-based metamaterials . His 15 most recent publications cover topics like nonlinear Schrödinger equations , COVID-19 transmission models , and chaotic lattice dynamics , reflecting his interdisciplinary expertise. As Principal Investigator , he leads projects such as DUSTnBLOOM (climate change impacts on algal blooms) and astrodynamics software development , aligning with Khalifa University's research priorities. He mentors numerous PhD and postdoctoral researchers, with former advisees including Rudy Kusdiantara and Sendy Phang . Associate Editor, IMA Journal of Applied Mathematics (OUP) Member, KU Graduate Student Committee (2021–present) Advisory Board, Institut Teknologi Bandung

• Dynamical Systems
• Nonlinear Waves
• Mathematical Modelling
• +۵ 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.

• Embedded Systems
• Computer Architecture
• In-Memory Computing
• +۶ 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.

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

Dr. Muhammad Ikhlaas Gurrib is a Professor at the School of Management of the Canadian University Dubai (CUD), where he serves as Program Coordinator for Accounting & Finance. He holds a PhD in Economics & Finance from Curtin University of Technology, Australia, and a Master of Finance and Master of Professional Accounting from Victoria State University, Australia. His academic career includes prior roles as Assistant Professor at Prince Sultan University, Saudi Arabia, and teaching positions at Curtin Business School, Australia. Dr. Gurrib’s research focuses on event analysis , macroeconomic analysis and financial markets , and portfolio management . His recent work explores financial forecasting with machine learning, energy stock price dynamics during crises, and technical analysis tools like the Ichimoku cloud and Relative Strength Index (RSI) in cryptocurrency and energy markets. His publications span journals, conferences, and book chapters addressing GCC economic integration, financial technologies, and regulatory impacts on global markets. Scientific honors include the Best Researcher Award at CUD (2013-2014, 2015-2016) and the Curtin University Post Graduate Scholarship Award (2006-2007). He is a Senior Associate (SA Fin) of FINSIA, a member of the American Finance Association, and an affiliate of GARP. Dr. Gurrib contributes as a reviewer for journals like Studies in Economics & Finance and serves on the editorial board of Risk Governance and Control: Financial Markets & Institutions.

• Event analysis
• Macroeconomic analysis and financial markets
• Portfolio management

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.

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

• Computational Mechanics
• Machine Learning
• Thermal Analysis
• +۳ 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.

• Cybersecurity
• AI Techniques for Cybersecurity
• IoT Security
• +۶ 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.

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

Mauro Junior is a Professor and Chair of the Department of Physics at Khalifa University (KU). He earned his PhD in Optical Sciences from the University of Arizona (1992) and has held prestigious roles including Head of the Department of Condensed Matter Theory at the Czech Republic's Institute of Physics and Professor at Sheffield Hallam University. Current research focuses on Quantum Transport and Optics , Nonequilibrium Green's Functions , and Terahertz/Mid-Infrared Radiation . Developed the TERA-MIR Network and unified THz and Mid-Infrared Radiation as the Chair of COST ACTION MP1204 and NATO TERA-MIR Conferences. Contributions span medical diagnostics (e.g., THz breath analysis for early disease detection) and environmental applications (e.g., water quality sensors). Scientific Awards : Named SPIE Fellow (2011) for theoretical contributions to semiconductor materials. Received the SPIE Innovation Award (2019) for service in organizing NATO/COST TERA-MIR conferences. Teaching : Courses include Quantum Physics, Electricity and Magnetism, and Quantum Transport and Optics.

• Quantum Transport
• Quantum Optics
• Semiconductor Materials
• +۷ 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)

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

Dr. Dirar Al Homouz is an Associate Professor at Khalifa University , specializing in computational biophysics and data-driven biological systems analysis. His work bridges physics, molecular biology, and machine learning to decode complex biological phenomena. Education: PhD in Physics from University of Houston (2007) Research Focus spans two major areas: Molecular dynamics simulations of protein folding in crowded cellular environments and nanoscale confinement effects Development of machine learning algorithms for high-throughput biological data analysis to uncover causal relationships in gene networks Teaching includes Physics and Biophysics-related courses, while his affiliations involve Khalifa University Research initiatives.

• Biophysics
• Bioinformatics
• Computational Biology
• +۵ 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.

• Artificial Intelligence
• Cyber Security
• Crowd Sourcing
• +۳ 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.

• Blockchain
• Federated Learning
• Crowd Sensing
• +۶ 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).

• Remote Sensing
• Deep Learning
• Artificial Intelligence
• +۲ 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.

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