جست‌وجوی استاد و پژوهشگر

George Karabatisمشاهده پروفایل

استاد

• Cyber-security
• Semantic Information Integration
• Workflow Systems
• +۵ مورد دیگر

George Karabatis is a Professor of Information Systems at the University of Maryland, Baltimore County (UMBC). He currently serves as the Director of Entrepreneurship and Innovation Minor at UMBC and holds roles as Liaison for Programmatic Innovations in the Department of Information Systems. With a Ph.D. and M.S. in Computer Science and a B.S. in Mathematics, he previously worked as a Research Scientist at Telcordia Technologies. His research focuses on cybersecurity (intrusion detection via contextual semantics), semantic information integration, workflow systems, and database applications for mobile devices. Key contributions include developing flow-based detection approaches using semantic networks and exploring contextual anomaly detection for zero-day attacks. Teaching expertise spans courses like Systems and Information Integration (IS 722), Mobile Data Management (IS 720), and Advanced Database Projects (IS 620). His work bridges theoretical foundations with practical implementations in enterprise systems and mobile technologies.

• Cybersecurity
• Internet of Things (IoT)
• Blockchain
• +۷ مورد دیگر

Amar Kumar Seeam is a Lecturer at the Mauritius Campus of Middlesex University. He holds a PhD in Building Simulation and Predictive Control from the University of Edinburgh (2015). His research spans cybersecurity, IoT, smart cities, eHealth systems, and public administration innovations. He has led projects on blockchain-based healthcare systems, augmented reality control platforms, and cyber deception frameworks for IoT-edge networks. Notably, he contributed to pandemic response initiatives like ventilator prototyping during the 2020-21 crisis and developed disinfection technologies using visible light. He co-founded the Centre for African Smart Public Value Governance (C4SP), focusing on policy innovation in African urban development. His work integrates interdisciplinary approaches, combining technical systems with societal impact analysis. Education: PhD in Building Simulation (University of Edinburgh, 2015) Key Projects: MRIC/IEEE-funded multi-purpose light disinfection chamber Smart tourism chatbot for Mauritius Cybersecurity frameworks for IoT and SCADA systems Research Interests: Cyber-physical security, AI in education, blockchain healthcare systems, and sustainable energy management. His work emphasizes practical applications in developing regions, such as Mauritius and Africa, focusing on scalable solutions for public infrastructure and digital governance. Recent articles highlight trends in AI-driven education tools, cultural governance in multicultural projects, and IoT security protocols. His contributions span conferences like IEEE, ACM, and Edward Elgar Publishing, addressing both technical and policy-oriented challenges in emerging technologies.

Huan Nguyenمشاهده پروفایل

استاد

• Digital Twin Modeling
• Machine Learning
• Wireless Communications
• +۵ مورد دیگر

Prof. Huan Nguyen is a Professor of Digital Communication Engineering at Middlesex University, affiliated with the Faculty of Science and Technology's Design Engineering & Mathematics department. He leads the London Digital Twin Research Centre and the 5G/6G & IoT Research Group. He holds a PhD from the University of New South Wales (2007) and a BSc from Hanoi University of Science & Technology (2000). Research Interests: Digital twin modeling, machine learning for disaster management and structural health monitoring, 5G/6G communication systems, and IoT. His work focuses on smart factories, critical infrastructure resilience, and healthcare applications like stroke care via digital twins. Grants & Leadership: Secured £2.5M+ in grants, including projects on quantum-assisted digital twinning (QuanDT, £93K), cognitive twins for Dubai manufacturing (£270K), and stroke care in Vietnam/Indonesia (StrokeDT, £99.8K). Served as PI or Co-I on 15+ grants from EPSRC, British Council, and industry partners. Teaching: Currently teaches Digital Communication Systems and Major Project modules. Previously instructed courses in digital communications, wireless systems, and telecommunications at Middlesex and other institutions. Awards & Roles: Senior Fellow of the HEA (2019), Senior IEEE Member, and Chair of the Vietnamese Intellectual Society in the UK/Ireland. Editor for KSII Transactions on Internet and Information Systems and REV Journal on Electronics and Communications . Labs & Teams: Leads research groups focused on digital twins, 5G/6G, and IoT. Collaborates with global partners like VinGroup, Vietnamese universities, and UK institutions on Industry 4.0 and healthcare innovation.

Zhu Hanمشاهده پروفایل

استاد

• Game Theory
• Wireless Networking
• Security
• +۴ مورد دیگر

Dr. Zhu Han is the John and Rebecca Moores Professor at the University of Houston's Cullen College of Engineering, Department of Electrical and Computer Engineering. His research focuses on game theory, wireless networking, security, data analysis, and smart grid applications. He holds doctoral and master's degrees from the University of Maryland and a bachelor's from Tsinghua University. Research interests span: Next-generation wireless systems (6G/7G) AI/ML integration in communications Reconfigurable intelligent surfaces Quantum machine learning applications Secure and efficient network architectures His recent publications demonstrate strong focus on generative AI integration in wireless systems, quantum networking, semantic communications, and security frameworks for future networks. Awards and honors include: IEEE/ACM/AAAS Fellow status IEEE Kiyo Tomiyasu Award (2021) Highly Cited Researcher since 2017 IEEE Distinguished Lecturer (2015-2018) Dr. Han leads research in wireless communications and networking, with extensive industry collaboration. His lab focuses on developing theoretical foundations and practical implementations for next-generation communication systems.

Jason Jaskolkaمشاهده پروفایل

دانشیار

• Cyber Security Evaluation
• Security Assurance
• Formal Methods
• +۴ مورد دیگر

Jason Jaskolka is an Associate Professor in the Department of Systems and Computer Engineering at Carleton University, part of the Faculty of Engineering and Design. He holds a Ph.D. from McMaster University and is a licensed Professional Engineer in Ontario. His research focuses on cyber security evaluation and assurance, formal methods, and secure software engineering. He leads the Cyber Security Evaluation and Assurance (CyberSEA) Lab, emphasizing security-by-design principles for complex systems like industrial control systems and IoT-enabled healthcare. Education: Ph.D. (Software Engineering, McMaster University, 2015), M.A.Sc. (Software Engineering, McMaster University, 2010), B.Eng. (Software Engineering and Game Design, McMaster University, 2009). Research interests include: Cyber Security Evaluation & Assurance, Data-Driven Security Metrics, Formal Verification of Security Properties, Secure Software Architecture Design, and Industrial Cyber-Physical Systems Security. His work addresses challenges in threat modeling, compliance with security standards, and mitigating implicit system vulnerabilities. Recognition includes the 2021 New Faculty Excellence in Teaching Award for innovative pedagogy. He actively supervises graduate students in funded research positions. Key collaborations include Health Canada's Scientific Advisory Committee on Digital Health Technologies and the U.S. Department of Homeland Security’s Cybersecurity Postdoctoral Fellowship at Stanford University. Labs/Teams: CyberSEA Lab, focusing on developing rigorous security evaluation frameworks and tools for software-dependent systems.

• Human-Computer Interaction
• Ubiquitous Computing
• Computational Materials
• +۳ مورد دیگر

Sai Swaminathan is an Assistant Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee. He earned his PhD from Carnegie Mellon University's Human-Computer Interaction Institute, advised by Scott Hudson. His research focuses on computational materials, ubiquitous computing, and cyber-physical systems, emphasizing low-power, embedded technologies in physical infrastructure. He leads the EPIC Lab, exploring interactive systems integrated into structural materials like concrete and carbon fiber. Education: PhD from Carnegie Mellon University (Human-Computer Interaction Institute). Prior to this, he completed a dual master’s degree at Technical University of Berlin and Universite Paris-Sud XI. Professional experience includes roles at Oak Ridge National Lab, Microsoft Research, and Xerox Research. Research Interests: Developing battery-free interactive devices using non-silicon materials (e.g., concrete, carbon fiber), integrating sensing/actuation into architectural structures. Current projects include OptiStructures (optical sensors in building materials), Duco (large-scale circuit writing), and FiberWire (composite electronics). Notable Awards: Best Paper Honorable Mention at CSCW 2019 for 'Learn2Earn: Using Mobile Airtime Incentives to Bolster Public Awareness Campaigns'. Labs/Teams: Director of the Energy, Printed Infrastructure and Interactive Computing (EPIC) Lab, collaborating with interdisciplinary teams in HCI, ECE, CEE, and Materials Science.

Kumudu MUNASINGHEمشاهده پروفایل

استاد

• Next Generation Mobile and Wireless Networks
• Internet-of-Things (IoT)
• Cyber-Physical Systems
• +۶ مورد دیگر

Professor Kumudu MUNASINGHE is the Deputy Dean of the Faculty of Science and Technology and Professor of Network Engineering at the University of Canberra. He previously served as Head of the School of IT and Systems (2020–2024) and held the Cisco Research Chair (2022–2023). With a PhD in Telecommunications Engineering from the University of Sydney (2009), his research focuses on next-generation wireless networks, IoT, cyber-physical systems, and blockchain security. He has secured over $8M in research funding from the Australian Research Council, government agencies, and industry, leading to 130+ publications (H-index 21) and prestigious awards like the IEEE Best Paper Award and VC’s Research Award. Education: PhD in Telecommunications Engineering, University of Sydney (2009) Research Interests: 5G/6G Networks & Smart Grid Communications IoT Security and Blockchain Applications Cyber-Physical Systems & Energy Efficiency AI-Driven Network Optimization Grants & Projects: Lead researcher on projects totaling $8M+, including ITTC ARC Plant Biosecurity Training Center ($4.5M) and NetApp Technology Alliance Agreement Co-investigator on 14 projects addressing smart cities, satellite communications, and biosecurity Awards & Recognition: ARC Australian Postdoctoral Fellowship (2023) IEEE Best Paper Awards (2025, 2023, 2022) Fellow of Engineers Australia and Senior IEEE Member Labs & Teams: Leads research groups in Network Engineering and Cyber-Physical Systems Collaborates with industry partners like Cisco and NetApp

Qing Caoمشاهده پروفایل

دانشیار

• AI for Cyber-Physical Systems
• Networking and Distributed Systems
• Cyber Security
• +۵ مورد دیگر

Qing 'Charles' Cao is an Associate Professor in the Min H. Kao Department of Electrical Engineering and Computer Science at the University of Tennessee, Knoxville, part of the Tickle College of Engineering. His research focuses on AI-driven Cyber-Physical Systems, Networking, and Cyber Security, with applications in IoT, Edge Computing, and Smart Agriculture. He holds a PhD from the University of Illinois at Urbana-Champaign, an MS from the University of Virginia, and a BS from Fudan University, China. Education: PhD in Computer Science, University of Illinois at Urbana-Champaign, 2008 MS in Computer Science, University of Virginia, 2005 BS in Computer Science, Fudan University, Shanghai, China, 2002 Research Interests: His work emphasizes interdisciplinary solutions at the intersection of AI, networking, and security. Key areas include: - Blockchain-based security mechanisms for edge devices - LLM applications in public policy and climate decision-making - IoT-driven precision agriculture and livestock health monitoring - Probabilistic error reasoning and fault tolerance in distributed systems Grants & Awards: No awards explicitly listed, but his research has been supported by grants in areas like smart agriculture and edge computing infrastructure. Advising & Labs: While specific advisees are not listed, his research group focuses on collaborative projects involving students in cybersecurity, IoT, and AI systems. He has contributed to lab initiatives related to environmental computing and distributed sensor networks. Professional Activities: Active in conferences like AAAI, IEEE IPCCC, and ACM/IEEE Edge Computing Symposiums, presenting on topics ranging from LLM-assisted governance to secure edge architectures.

• Multi-Agent Systems
• Hypermedia Systems
• Web of Things
• +۳ مورد دیگر

Andrei Ciortea is an Assistant Professor in Interaction and Communication based Systems at the University of St. Gallen, affiliated with the ICS-HSG (Interaction and Communication Systems) department. His research focuses on Internet-scale multi-agent systems, hypermedia systems, the Web of Things, and socio-technical systems. He explores topics such as autonomous agents, hypermedia environments, and the integration of digital twins in industrial automation. Key research interests include the design of adaptive coordination mechanisms, affordance-driven interaction models, and semantic hypermedia search. His work emphasizes practical applications in manufacturing, energy systems, and sustainable design. Notable contributions include the HyperBrain project leveraging large language models for human-inspired guidance and the Solid-based Pody framework for agent embodiment in web systems. He received the Best Paper Award at the 6th International Conference on the Internet of Things (IoT 2016). His publications span topics like digital twin ecosystems, circular design strategies, and governance frameworks for autonomous agents on the web. Current research trends highlight the interplay between agent autonomy, hypermedia architectures, and socio-technical interactions in smart environments. Dr. Ciortea collaborates on interdisciplinary projects involving AI ethics, transparent machine intelligence, and real-time collaboration in linked data systems. His work bridges theoretical agent models with real-world industrial applications, emphasizing scalable, interoperable solutions for distributed systems.

Prasad A. Kulkarniمشاهده پروفایل

استاد

• Compilers
• Computer Architecture
• Runtime Systems
• +۴ مورد دیگر

Prasad A. Kulkarni is a Professor in the Department of Electrical Engineering and Computer Science (EECS) at the University of Kansas. He leads the Compilers, Architectures, and Runtime Systems (CARS) research group, focusing on compiler optimizations, runtime systems, and cyber-security in embedded systems. His work addresses challenges like efficient parallel execution, compiler phase ordering, and secure software execution on multi-core and heterogeneous architectures. Education: Ph.D. in Computer Science from Florida State University (2007). Awards include the NSF CAREER Award (2010) and the Harry Tally Excellence in Teaching Award (2012, 2017). He has advised numerous graduate students in areas such as compiler transformations, virtual machine optimization, and binary analysis. Research interests span compiler design, computer architecture, and runtime systems. Recent work emphasizes binary analysis for security (e.g., detecting security checks in binaries) and improving performance in embedded systems. His publications explore topics like dynamic binary translation, memory management, and decompiler accuracy. Teaching includes courses on compilers, computer systems design, and security. He actively recruits students interested in solving efficiency and security challenges in modern computing systems.

Chadi Assiمشاهده پروفایل

استاد

• Wireless Networks
• Information Security
• Cybersecurity
• +۶ مورد دیگر

Chadi Assi is a Professor and Tier II Concordia Research Chair at the Concordia Institute for Information Systems Engineering, Concordia University. His research focuses on wireless networks, information security, and smart grid systems, with particular emphasis on reconfigurable intelligent surfaces (RIS), integrated sensing and communication (ISAC), cybersecurity for electric vehicles (EVs), and machine learning-driven network optimization. He has pioneered work on mitigating cyber-physical attacks in power grids and IoT ecosystems, while advancing cooperative communication protocols like RSMA and NOMA. His technical contributions span theoretical frameworks for energy efficiency maximization in hybrid SDMA/NOMA schemes, low-complexity RIS element selection algorithms, and adversarial PINN models for grid dynamics. He also investigates vulnerabilities in EV charging infrastructure and O-RAN synchronization protocols, proposing robust detection mechanisms like PEACE and Grid Mirror. His interdisciplinary work bridges communications, power systems, and AI, addressing challenges in 5G/6G security and resilient IoT provisioning. Key Research Areas: RIS-enabled ISAC networks, EV cybersecurity, meta-learning in communications, IoT malware analysis Current Projects: Grid resilience against load-altering attacks, Movable antenna optimization, federated learning for AGC systems Recent publications (2024-2025) emphasize deep reinforcement learning frameworks for RIS-aided networks, cooperative RSMA performance enhancement, and defense mechanisms against dynamic trigger-based attacks. He has also developed novel datasets for advanced persistent threats and frameworks like ChargePrint for EV charging security analysis. His work is published in top venues including IEEE Transactions on Smart Grid, IEEE JSAC, and IEEE ICC, reflecting contributions to both theoretical advancements and practical system implementations.

Prosanta Gopeمشاهده پروفایل

مدرس ارشد

• Cybersecurity
• IoT Security
• Authentication Protocols
• +۳ مورد دیگر

Dr. Prosanta Gope is Senior Lecturer in Cybersecurity at the University of Sheffield's School of Computer Science. He directs the MSc Cybersecurity & AI program and leads research in IoT security, authentication protocols, and privacy-preserving systems. Research encompasses: Lightweight authentication for IoT/5G networks Hardware security using PUFs Privacy-preserving machine learning Industrial control system security Recent publications focus on privacy-preserving authentication for 5G handovers, digital twins, and V2G communications using decentralized identity frameworks. His work demonstrates strong application focus in smart grids, healthcare, and industrial IoT. As associate editor for IEEE IoT Journal and IEEE Systems Journal, he shapes research direction in security fields. Secured funding from EPSRC, Innovate UK, and Royal Society for projects on hardware security and intrusion detection systems.

• Economic Model Predictive Control
• Stability of Nonlinear Systems
• Chemical Reaction Networks Theory
• +۵ مورد دیگر

David Angeli is a Professor of Nonlinear Network Dynamics in the Department of Electrical and Electronic Engineering at Imperial College London's Faculty of Engineering. Affiliations: Control and Power Research Group Energy Futures Lab His research focuses on Economic Model Predictive Control, Stability of Nonlinear Systems, Chemical Reaction Networks Theory, Systems Biology, and Control of Smart Grids. He develops theoretical frameworks for networked systems with applications in energy infrastructure and biological processes, emphasizing robustness and scalability in distributed settings. Recent publications (2023-2025) highlight work on distributed control algorithms, Lyapunov-based stability certification, and small-gain theorems for interconnected systems. His research bridges control theory, game theory, and machine learning to solve problems in cyber-physical systems, particularly in resilient consensus protocols and economic optimization for heterogeneous networks. As a core member of the Control and Power Research Group and Energy Futures Lab, he contributes to sustainable energy solutions and advanced control methodologies for complex networked systems.

Ben Watersonمشاهده پروفایل

استاد

• Road Transport
• Artificial Intelligence
• Traveller Behaviour
• +۳ مورد دیگر

Ben Waterson is a Professor in Transportation at the University of Southampton within the Faculty of Engineering and Physical Sciences. He has been a member of the Transportation Research Group since 1997, specializing in traffic control, traveler behavior, and AI applications. His research focuses on improving urban traffic systems, air quality, and safety using VR and AI. Education: BSc (1st Class Honours) in Statistics, University of Reading (1996) MSc in Operational Research (Distinction), University of Southampton (1997) PhD in Data Fusion for Real-Time Traffic Monitoring (2005) Research Interests: His work spans road transport, AI-driven traffic control, traveler behavior analysis, and VR applications. Recent projects include narrow passage driving simulations and coordinated signal control algorithms. Teaching: He teaches modules such as Transport Modelling (CENV6153), Highway and Traffic Engineering (CENV3060/CENV6171), and Transport Management and Safety (CENV6168). He supervises projects on topics like self-calibrating traffic lights and virtual reality train stations. Awards: William W. Millar Prize (2017) Grants/Projects: EPSRC-funded IVP Signals project Siemens-funded Future SCOOT Algorithm AI Development Project Labs/Groups: Member of the Transportation Research Group and Southampton Marine and Maritime Institute.

Yousef Al-Gumaeiمشاهده پروفایل

استادیار

• Wireless Communications
• Cybersecurity
• Machine Learning
• +۵ مورد دیگر

Yousef Al-Gumaei is an Assistant Professor and Course Leader of Computing at the Global College, Heriot-Watt University in Edinburgh, Scotland. Previously, he held roles including Lecturer in Electrical Engineering at Liverpool John Moores University (2021–2022), Postdoctoral Research Fellow at Northumbria University, and Senior Lecturer at Al-Madinah International University (2016–2019). He earned a Ph.D. in Electrical Engineering from the University of Malaya (2017), an M.Eng.Sc. (2010), and a B.Sc. in Electrical Engineering from IBB University, Yemen (2003). His research focuses on wireless communication systems, cybersecurity, machine learning applications, IoT networks, and 5G/6G technologies. Key areas include power control algorithms, DDoS attack detection, social media analytics for public health, and distributed data mining. He has contributed to advancements in sensor network optimization, metamaterial antennas for THz applications, and energy-efficient EV charging infrastructure. Al-Gumaei has authored or co-authored over 25 publications, including books and journal articles. His work aligns with UN Sustainable Development Goals, particularly in innovation and infrastructure (SDG 9) and industry, innovation, and infrastructure (SDG 9). He teaches courses in Computing and Physics at Heriot-Watt University.