جستجوی استاد راهنمای دانشگاهی

Hossam Hassanein is a Professor and Director of the School of Computing at Queen's University. He received his B.Sc. in Electrical Engineering from Kuwait University in 1984, M.Sc. in Computer Engineering from the University of Toronto in 1986, and Ph.D. in Computing Science from the University of Alberta in 1990. He joined Queen's University School of Computing in 1999 and has established himself as a leading researcher in telecommunications and networking. Dr. Hassanein's research interests span wireless sensor networks, mobile ad hoc networks, edge computing, Internet of Things (IoT), radio resource management, and data-centric networks. His seminal contributions include pioneering work on WSN planning, load-balanced routing protocols, and energy-efficient network designs. He has championed research in IoT, developing frameworks for smart spaces that use contextual information to enhance IoT applications in healthcare, transportation, and infrastructure. His recent publications (2023-2025) demonstrate a strong focus on cutting-edge areas including extreme edge computing, vehicular networks, and AI/ML integration in networking. Research trends show increasing emphasis on practical applications in telesurgery, digital twins, and industrial IoT, addressing challenges in resource allocation, task offloading, and real-time processing in constrained environments. Dr. Hassanein has received numerous recognitions for his work: Fellow of the IEEE Queen's University School of Graduate Studies Award for Excellence in Graduate Student Supervision (2015) Multiple best paper awards from top international conferences As founder and director of the Telecommunications Research Lab (TRL), Dr. Hassanein has supervised over 75 students who have made substantial contributions in academia and industry. The TRL is one of Queen's largest research groups with extensive international collaborations. Dr. Hassanein has successfully attracted significant research funding from government and industry sources in the competitive telecommunications field. The Telecommunications Research Lab has developed innovative platforms including SPROUTS, a rugged sensor platform used in mining, steel manufacturing, and smart-grid monitoring. TRL's work has had significant impact in WSN planning, data dissemination, and resource reuse in wireless networks, with contributions featured in IEEE Wireless Communications Magazine.

• Wireless Sensor Networks
• Mobile Ad hoc Networks
• Edge Computing
• +۵ مورد دیگر

Maher Elshakankiri is an Assistant Professor, Teaching Stream at the University of Toronto's Faculty of Information. He holds a Ph.D. in Computer Engineering from Ain Shams University (Egypt), followed by a postdoctoral fellowship at the University of Regina. His research focuses on IoT, Wireless Sensor Networks (WSN), and pedagogical integration of technology and gaming. He has supervised over 100 student projects and authored a book on WSNs. Education: Ph.D. in Computer Engineering, Ain Shams University, Egypt M.Eng., B.Eng. in Engineering, Ain Shams University, Egypt Postdoctoral Fellowship, University of Regina, Canada Research Interests: IoT in healthcare, agriculture, and sports Active learning classrooms and technology in education Wireless communication protocols (V2V, UAV, RFID) Leadership & Grants: Director, Bachelor of Information (BI) Program (2024–present) Coordinator, Information Systems and Design (ISD) Concentration (2023) SSHRC Grant: 'Gaming in teaching towards a more inclusive class' (2022–2023) Professional Activities: Member, SCC IoT & Digital Twins Standards Committee Reviewer for journals including Wireless Networks , Telematics and Informatics , and Computational Intelligence Technical Program Committee member at multiple conferences Teaching: Courses include INF1340 (Programming for Data Science), INF1005/1006 (IoT Workshops), and INF452 (Information Design Coding).

• Internet of Things (IoT)
• Wireless Sensor Networks (WSN)
• Active Learning Classrooms
• +۵ مورد دیگر

Mustapha C.E. Yagoub is a Full Professor at the School of Electrical Engineering and Computer Science, University of Ottawa, with over 500 publications in RF/microwave CAD, RFID systems, neural networks, and applied electromagnetics. He leads research in the ELEMENT Laboratory and RFM Research Group , focusing on wireless communication systems and nonlinear device modeling. PhD in Electronics (Institut National Polytechnique de Toulouse, 1994) Magister in Telecommunications (École Nationale Polytechnique d'Alger, 1987) Dipl.-Ing. in Electronics (École Nationale Polytechnique d'Alger, 1979) His research bridges Microwave Circuit Design with Artificial Intelligence , including applications in Energy Conservation and Telecommunication Systems . Key trends in his publications include hybrid modeling techniques combining Neural Networks with Computational Electromagnetics for optimizing Antenna Design and RF Components . He is a Senior Member of IEEE and licensed with the Professional Engineers of Ontario and Ordre des Ingénieurs du Québec . His lab teams focus on High-Tc Superconducting Devices and Directional Antenna Optimization for RFID networks.

• RF/Microwave Circuit Design
• RFID Systems
• Antenna Design
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Dr. Yaser Al Mtawa is a faculty member with a focus on the Internet of Things (IoT), Wireless Sensor Networks, Cyber-Physical Systems, and Network Security. His research spans Smart Home Security, SDN-based Networking, Reliability, and Quality of Service (QoS). Education: PhD in Computer Science from Queen's University, Canada Research Interests: Dr. Al Mtawa investigates IoT and its intersections with AI/Machine Learning, Autonomous Networks, and Traffic Engineering. His work optimizes network reliability, security, and efficiency using advanced computational methods. Publication Trends: Recent articles focus on SDN optimization, anomaly detection, federated learning security, and IoT applications in agriculture. Keywords include Machine Learning, Network Reliability, and Wireless Technologies. Teaching: He teaches courses such as Operations Research in Computer Science , Wireless Networking Paradigms , and Advanced Internet Programming , emphasizing learner-centered environments and practical applications. Research Team: Supervises current MSc students (MD Imtiaz Ahmed, Sayed Saminur Rahman, Tanvir Ornob) and past students (Mohammadreza Khorramfar, Arnold Brendan Osei), fostering interdisciplinary collaboration in IoT and network security.

• Internet of Things (IoT)
• Wireless Sensor Networks (WSNs)
• Cyber-Physical Systems
• +۸ مورد دیگر

Petros Spachos is a Professor at the University of Guelph, affiliated with the School of Engineering Systems and Computing and the Department of Computer Engineering. His research focuses on Wireless Sensor Networks (WSNs), network protocols, security, and related areas such as multi-hop routing, cognitive radio, and opportunistic networks. He teaches undergraduate courses including ENGG*4650: Integrated Sensors and Photonic Devices and ENGG*3210: Communication Systems . He is part of the AI Affiliated Faculty and contributes to interdisciplinary research in network systems and computing. His work emphasizes practical implementation and simulation of network technologies, with a strong emphasis on both theoretical and applied aspects of communication systems.

• Wireless Sensor Networks
• Network Protocols
• Network Programming
• +۵ مورد دیگر

Dr. Bentley Oakes is an Assistant Professor in the Department of Computer and Software Engineering at Polytechnique Montréal, affiliated with Université de Montréal and Mila. His research focuses on knowledge engineering for complex cyber-physical systems, particularly digital twins, ontological reasoning, and model-driven approaches. He teaches LOG6310E - Digital Twin Engineering and organizes the SEMTL meetings. Previously, he held postdoctoral positions at the University of Montréal and the University of Antwerp, and completed his PhD at McGill University in 2019 on model transformation verification. Education: PhD in Computer Science, McGill University (2019) Postdoctoral Researcher, University of Montréal (2017–2019) Postdoctoral Researcher, University of Antwerp (2014–2017) Research Interests: Digital twins (structure, validation, reporting) Ontologies and domain-specific knowledge representation Formal verification of cyber-physical systems Machine learning applications in systems engineering Model-driven engineering and transformations Awards: EDTConf 2024 Best Short Paper Award SoSyM/MODELS Journal-First Award (2023) Best Student Paper Award at SIMULTECH 2019 Advising & Labs: Advisor to PhD/Master’s students in digital twin engineering and related topics Oakes Lab focuses on accelerating knowledge engineering for complex systems Recruiting for PhD and internship positions (e.g., MITACS Globalink) Labs/Teams: The Oakes Lab collaborates with global experts and focuses on semantic integration, DT reporting frameworks, and LLM-based DT construction.

• Digital Twins
• Cyber-Physical Systems
• Model-Driven Engineering
• +۳ مورد دیگر

Jean-Pierre Corriveau is an Associate Professor and Graduate Director at the School of Computer Science, Carleton University. He holds a Ph.D. in Natural Language Processing from the University of Toronto (1991), an M.C.S. from the University of Ottawa (1984), and a B.Sc. from the University of Ottawa. His research focuses on Object-Oriented Testing (scenario testing, test data generation) and Text Understanding (contextualized and generative comprehension), with recent emphasis on behavior-driven development and acceptance testing of systems with complex scenarios. Dr. Corriveau has extensive industry experience, including roles at Nortel where he contributed to the TELOS project, leading to the ObjecTime startup and subsequent IBM Rational Software Architect tools. His work bridges academia and industry, addressing challenges in software engineering, cybersecurity, and natural language processing. Notable contributions include frameworks for MapReduce optimization, secure localization in wireless sensor networks, and privacy-preserving data anonymization techniques. His publications span topics like AI detection in text, federated learning for NER, intrusion detection systems, and resilient network algorithms. He has advised on graduate studies as Director and contributed to teaching strategies for millennial students through innovative virtual learning environments in platforms like Second Life. His research trends reflect a blend of theoretical advancements in computational linguistics and practical software engineering solutions, with a recurring focus on system reliability, distributed computing, and privacy-preserving technologies. Grants and collaborations are implied through his tool development and industry partnerships, though specific grant details aren’t explicitly listed. Labs/teams associated with his work include the ObjecTime initiative and Carleton’s distributed systems research groups, though no dedicated lab names are mentioned. Future directions emphasize scalable testing methodologies and ethical AI integration in text analysis.

• Object-Oriented Testing
• Text Understanding
• Behavior-Driven Development
• +۳ مورد دیگر