جستجوی استاد راهنمای دانشگاهی

Adriana Gabor is an Associate Professor in the Department of Mathematics at Khalifa University, with a focus on developing algorithms and mathematical techniques for optimization problems. She previously held academic positions at Eindhoven University of Technology, Erasmus University Rotterdam, and United Arab Emirates University. PhD in Applied Mathematics (Operations Research), University of Twente, The Netherlands Ms in Mathematics, Babes-Bolyai University, Cluj, Romania Her research lies at the intersection of Operations Research and Applied Stochastic Processes, with a particular emphasis on integrating Machine Learning into optimization frameworks for practical applications in logistics and telecommunications. She has contributed to advancements in location theory, inventory management, transportation optimization, and network design problems. Adriana has supervised 2 PhD students and 19 Master’s students, including current PhD candidates Muhammad Ridwan Reza, Yusuf Amidu, and Shahana Mohammed Ali Kappil. Her work has been published in leading journals such as the European Journal of Operations Research, Transportation Science, and Discrete Applied Mathematics. She teaches courses including Probability and Stochastic Processes (MATH243), Senior Research Project I and II (MATH497, MATH498), and Special Topics in Industrial Engineering (ISYE495).

• Operations Research
• Applied Stochastic Processes
• Applications of Machine Learning in Optimization
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Dr. Denys Dutykh serves as an Associate Professor in the Department of Mathematics at Khalifa University in the United Arab Emirates. His academic career includes permanent research positions at France's Centre National de la Recherche Scientifique (CNRS) and University Savoie Mont Blanc (USMB), where he specialized in mathematical modeling of environmental phenomena and nonlinear wave dynamics. His educational qualifications include: Habilitation thesis (2010) at Universite de Savoie, France PhD in Applied Mathematics (2007) at Ecole Normale Superieure de Cachan, France Master in Applied Mathematics (2005) at Ecole Normale Superieure de Cachan, France Master in Applied Mathematics and Mechanics (2004) at Dnipropetrovsk National University, Ukraine Dr. Dutykh's research integrates free surface flows , coherent structures , and nonlinear wave phenomena through advanced mathematical frameworks. His work spans nonlinear partial/ordinary differential equations , computational mathematics , and applied mathematical modeling , with recent expansions into machine learning dimensionality reduction , photovoltaic system modeling , and theoretical number theory . He approaches complex real-world problems through rigorous mathematical analysis and numerical simulation. Scientific awards: No specific awards or honors are mentioned in the provided text. Advising and grants: The text does not reference any supervised students, research grants, or funded projects. Dr. Dutykh maintains an open-door policy at his office (SAN1016B, Zarkuh Building 1) and actively encourages collaboration on challenging mathematical problems.

• Free surface flows
• Coherent structures
• Nonlinear waves
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Dr. Haralampos Hatzikirou serves as an Associate Professor in the Department of Mathematics at Khalifa University, where he joined in 2020 after establishing his research career in Germany and the United States. His work bridges mathematical theory with biomedical applications, focusing on cell decision-making in pathophysiological systems. His academic journey includes a Ph.D. in Biomathematics from Technical University Dresden (2009), an M.Sc. in Applied Mathematics from Technical University Kaiserslautern (2003), and a B.Sc. in Mathematics from Aristotle University of Thessaloniki (2001). Ph.D., Biomathematics, Technical University Dresden (2009) M.Sc., Applied Mathematics, Technical University Kaiserslautern (2003) B.Sc., Mathematics, Aristotle University of Thessaloniki (2001) Dr. Hatzikirou's research integrates mathematical modeling with machine learning to address biomedical challenges: Mathematical theory of cell decision-making in multicellular systems Systems medicine applications for tissue development Cancer and bacterial infection modeling Hybrid mechanistic-ML methodologies Pathophysiological system analysis Biomedical computational frameworks His transdisciplinary approach has significant implications for understanding disease mechanisms and developing therapeutic strategies. He has received prestigious recognition including a Marie Curie Fellowship during his doctoral studies and secured over 3 million euros in competitive research funding from German, European, and Volkswagenstiftung sources. Marie Curie Fellowship Volkswagenstiftung Grant As an active mentor, Dr. Hatzikirou has supervised 5 Ph.D. students (Siti Maghfirotul Ulya, Yusuf Jamilu Umar, Ismaila Muhammad, Haya Mayoof, Somaya Salim), 4 M.Sc. students, and 6 postdocs. His laboratory maintains active collaborations with biomedical institutions and regularly recruits graduate students for transdisciplinary projects in mathematical biomedicine. His research team currently includes postdocs Symeon Savvopoulos and Dimitrios Manias, alongside five Ph.D. candidates, collectively advancing mathematical frameworks for complex biomedical problems through computational innovation and experimental collaboration.

• Mathematical Biology
• Computational Systems Biology
• Biomedical Informatics
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Dr. Mohamed Soufiane Jouini is an Associate Professor in the Mathematics Department at Khalifa University, United Arab Emirates, where he has served since 2014 after transitioning from industry research roles. His academic foundation includes a PhD in Signal and Image Processing from Bordeaux University and dual Master's degrees from the National Polytechnic Institute of Toulouse in France. His educational qualifications include: PhD in Signal and Image Processing, Bordeaux University, France MSc in Signal and Image Processing, National Polytechnic Institute of Toulouse, France MEng in Electrical Engineering, National Polytechnic Institute of Toulouse, France Dr. Jouini's research centers on applied mathematical methods for geoscientific problems , with core expertise in Digital Rock Physics using X-ray computed tomography, fractal/multifractal analysis of rock heterogeneity, and machine learning applications for reservoir characterization. His work bridges mathematical theory and petroleum engineering to solve critical challenges in resource extraction and environmental sustainability, particularly through computational modeling of rock-fluid interactions. Analysis of his 15 most recent publications (2017-2024) reveals consistent focus on multiscale characterization of carbonate reservoirs, permeability upscaling using AI techniques, and integration of digital rock physics with experimental validation. Key trends include the application of 3D imaging for pore-structure analysis, development of novel fractal-based heterogeneity metrics, and machine learning-driven solutions for complex fluid flow problems in heterogeneous media. His scientific contributions have been recognized with prestigious awards: The Oil & Gas Year Award for “Partnership of the Year” (2016) ADNOC R&D Bright Finding & Integration Pen (2014) Dr. Jouini currently advises PhD candidate Naser Mazen Abdelsalam Al-Khalayaleh and serves as Co-PI on a major 2 Million AED DEWA-funded project (2021-2024) developing OCT-based image processing techniques to characterize membrane fouling in reverse osmosis systems. His grant portfolio demonstrates strong industry-academia collaboration focused on practical energy and water challenges. He maintains active affiliations with Khalifa University Research centers and collaborates extensively with interdisciplinary teams across petroleum engineering, geology, and environmental science domains to advance computational methods for resource management.

• Image Processing
• Digital Rock Physics
• Fractals
• +۲ 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

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
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Dr. Haytham El-Messiry is an Associate Professor in the Department of Computer Science at Canadian University Dubai, where he also serves as Program Director for the MScAI program. He holds a PhD in Computer Vision from Ulm University, Germany. His academic leadership includes former roles as Dean of the College of Engineering and Technology, Program Coordinator, and Program Chair, during which he developed accredited Computer Science programs and led a joint initiative with the UAE Ministry of Telecommunication to bridge academic-industry gaps. His research focuses on applying Artificial Intelligence , Machine Learning , and Computer Vision to solve real-world challenges across sectors including healthcare (biomedical applications, DNA profiling), government systems, and transportation. Dr. El-Messiry has supervised industry-funded projects in intelligent systems development.

• Artificial Intelligence
• Machine Learning
• Computer Vision
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