Find Academic Supervisors

• Algorithmic Graph Theory
• Parallel Algorithms
• Graph Theory
• +4 more

Stavros Nikolopoulos is a Professor in the Department of Computer Science & Engineering at the University of Ioannina, Greece. He serves as Director of the Algorithms Engineering Lab and holds a PhD in Computer Science (1991, University of Ioannina). His research focuses on Algorithmic Graph Theory, Parallel Algorithms, Malware Detection, and Software Watermarking. He has published extensively in top-tier journals and conferences, including Discrete Applied Mathematics and Theoretical Computer Science. Education: B.Sc. in Mathematics, University of Ioannina (1982) M.Sc. in Computer Science, University of Dundee (1985) Ph.D. in Computer Science, University of Ioannina (1991) Research Interests: Design and Analysis of Algorithms Graph Algorithms (e.g., permutation graphs, cographs) Malware Detection via System-call Group Analysis Graph-based Watermarking Systems Discrete Event Simulation Awards & Recognition: Best Student Paper Award (WEBIST'13) Best Paper Award (CompSysTech'13) Labs & Projects: Director, Algorithms Engineering Lab Principal Investigator in EU-funded projects (e.g., HRAKLITOS, PENED-05)

Ibrahim TekinView profile

Professor

• Antenna Design
• Wireless Communication Systems
• Propagation Modeling
• +4 more

Dr. Ibrahim Tekin is a Professor at Sabanci University’s Electrical and Electronics Engineering Department. He holds a B.S. and M.S. from Middle East Technical University (1990-1992) and a Ph.D. from The Ohio State University (1997). His career spans research roles at Bell Laboratories (1997-2000) and academic teaching/research. His primary research interests include antenna design, smart antennas, propagation modeling, and geolocation algorithms. He teaches advanced courses like Electromagnetics II , Microwaves , and Antennas and Propagation for Wireless Communication , emphasizing practical applications in RF and microwave systems. Dr. Tekin’s work focuses on 5G mm-wave antenna arrays, full-duplex systems, and MEMS-based RF components. His recent research explores beamforming networks, low-actuation-voltage MEMS switches, and compact antenna designs for 5G applications. He has contributed to over 60 peer-reviewed publications, including journal articles in IEEE Transactions on Antennas and Propagation and Microwave and Optical Technology Letters . His research also addresses indoor positioning systems using GPS signals and RFIC integration challenges. Key technical contributions include innovative antenna array configurations, low-loss RF MEMS switches, and advanced full-duplex architectures. His work bridges theoretical electromagnetics with practical implementations in next-generation wireless communication systems.

• Wireless Communications
• Reconfigurable Intelligent Surfaces
• Physical Layer Security
• +7 more

Dr. Sylvester Boadi Aboagye is an Assistant Professor in the School of Engineering at the University of Guelph, Canada. His research focuses on next-generation wireless communication and sensing systems, including reconfigurable intelligent surfaces (RIS), physical layer security, visible light communication (VLC), terahertz networks, and integrated sensing-communication frameworks. He received his Ph.D. and M.Eng. from Memorial University (Canada) and B.Sc. (Honors) from Kwame Nkrumah University of Science and Technology (Ghana). Prior to joining University of Guelph, he was a Postdoctoral Fellow at York University (2023). Dr. Aboagye's expertise includes machine learning for resource allocation, energy-efficient network design, and prototyping optical RIS systems. He currently serves as an Editor for IEEE Communications Letters and has received notable awards including the Governor General’s Gold Medal and recognition as an Exemplary Reviewer. His work addresses challenges in 6G systems, underwater communications, and sustainable network architectures.

Alvaro A. CardenasView profile

Professor

• Cybersecurity
• Privacy in Emerging Technologies
• Cyber-Physical Systems
• +5 more

Alvaro A. Cardenas is a Professor of Computer Science and Engineering at the University of California, Santa Cruz (UCSC), affiliated with the Erik Johnson School of Engineering and Computer Science. Previously, he held positions at the University of Texas at Dallas and conducted research at UC Berkeley and Fujitsu Laboratories. His research focuses on cybersecurity and privacy in emerging technologies, particularly cyber-physical systems like autonomous vehicles, drones, and SCADA systems controlling critical infrastructure. Education: Ph.D. and M.S. in Computer Science from University of Maryland, College Park B.S. in Computer Science from Universidad de Los Andes, Colombia Research Interests: Security of Industrial Control Systems Smart Grid and IoT Security Cyber-Physical System Exploitation Resilience in Critical Infrastructure Formal Verification of Safety-Critical Systems Awards: NSF CAREER Award 2018 Faculty Excellence in Research Award Eugene McDermott Fellow Endowed Chair IEEE TCSEC Distinguished Service Award Best Paper Awards at ACM CPS & IoT Security, IEEE Smart GridComm, and U.S. Army Research Conference Grants & Funding: Supported by NSF, ARO, AFOSR, NSA, NIST, MITRE, DHS, DoT, Google, Phoenix Technologies, and Intel. Research emphasizes practical defenses against cyber threats in critical systems. Labs/Teams: Leads the Cyber-Physical Systems Security Research Group at UCSC, focusing on innovative solutions for securing emerging technologies.

• Security and Privacy
• Active Cyber Defense
• Security Analytics
• +6 more

J. Haadi Jafarian is an Assistant Professor in the Department of Computer Science and Engineering at the University of Colorado Denver, where he leads the Active Cyber and Infrastructure Defense (ACID) Lab. He earned his Ph.D. from the University of North Carolina Charlotte in 2017. Research Interests: Active Cyber Defense (Moving Target Defense, Cyber Deception) Big Data Analytics for Cyber Threat Intelligence Security for Cyber-Physical Systems & Critical Infrastructures Cyber Resilience and Automation Recent Publications highlight innovations in traffic obfuscation, adversarial machine learning, and deception-based threat detection. His work spans network security, cybersecurity analytics, and scalable defense frameworks. Teaching includes: CSCI 4743/5743: Cyber and Infrastructure Defense (Fall 2023) CSCI 4742/5742: Cyber Programming and Analysis (Spring 2023) CSCI 4741: Cybersecurity Principles (Spring 2022) CSCI 4800: Web Application Development (Spring 2021) CSCI 3761: Computer Networks (Spring 2020) Labs & Teams: The ACID Lab focuses on developing proactive cyber defense strategies, including moving target defense, deception techniques, and security analytics for critical infrastructure.

Yue ZhaoView profile

Associate Professor

• Smart Grid
• Renewable Energy Integration
• Electricity Market Design
• +6 more

Yue Zhao is an Associate Professor in the Department of Electrical and Computer Engineering at Stony Brook University, with an affiliated appointment in Applied Mathematics and Statistics. Prior to this, she held postdoctoral positions at Stanford University and Princeton University. She earned her Ph.D. from UCLA in 2011 and B.E. from Tsinghua University in 2006. Her research focuses on smart grid systems, renewable energy integration, machine learning applications in power systems, and game-theoretic approaches to electricity markets. Key areas include transportation electrification, demand response mechanisms, and cyber-physical security of grid infrastructure. She teaches courses on digital signal processing, convex optimization, and communication systems. Her work spans over 50 publications in top journals and conferences like IEEE Transactions on Power Systems and ACM e-Energy. Notable contributions include dynamic state estimation frameworks for inverter-based resources, incentive-compatible market mechanisms for renewable aggregation, and cyber attack detection methodologies. Dr. Zhao advises a research group focused on interdisciplinary challenges in energy systems. Current openings exist for Ph.D. students with strong analytical backgrounds. Sponsors include NSF, DOE, and industry collaborators.

Yun LuView profile

Assistant Professor

• Differential Privacy
• Secure Multiparty Computation (MPC)
• Rational Cryptography
• +3 more

Dr. Yun Lu is an Assistant Professor in the Department of Computer Science at the University of Victoria (UVic), affiliated with the Faculty of Engineering & Computer Science. Their research focuses on differential privacy variants, secure multiparty computation, rational cryptography, and blockchain security under rational attackers. Lu received their PhD from the University of Edinburgh, supervised by Professor Vassilis Zikas, and holds BSc/MSc degrees from UCLA. They advise PhD students in differential privacy and related areas, including Mahboubeh Bahari, Yanchen Fan, Tyler Makaro, and former student Tiger Wu. Their work bridges theoretical foundations with practical applications, emphasizing privacy-preserving technologies and secure cryptographic protocols. Lu teaches courses such as Cryptography (CS 429/529) and Topics on Data Privacy (CS 588A), and has led educational sessions at the Berkeley Math Circle for high school students. Education: PhD (University of Edinburgh), MSc/BSc (UCLA) Research Trends: 2023-2025 focus on differential privacy frameworks, blockchain security, and adversarial model analysis Awards: None explicitly listed

• Optical Networking
• High-Speed Networks
• Data Center Technologies
• +6 more

Emmanouel (Manos) Varvarigos is a Professor at the School of Electrical and Computer Engineering, National Technical University of Athens (NTUA), where he leads the High Speed Communication Networks Laboratory. He holds a Diploma from NTUA (1988) and an M.S./Ph.D. from MIT (1990/1992). Prior roles include Professorships at UC Santa Barbara (1992-1998) and Delft University (1998-1999), and leadership at the University of Patras (1999-2015). He has coordinated over 30 EU research projects, including H2020 initiatives like ORCHESTRA and FLEXGRID. His research focuses on optical networking, cloud computing, smart energy grids, and high-speed network protocols. He has published over 450 papers and serves on numerous conference committees. Awards include the NSF Research Initiation Award. His lab employs 5 postdocs and 10+ PhD students, addressing challenges in networking, data centers, and grid computing. Education: Ph.D., Electrical Engineering and Computer Science, MIT, 1992 M.S., Electrical Engineering and Computer Science, MIT, 1990 Diploma in Electrical and Computer Engineering, NTUA, 1988 Research Interests: Optical networking, high-speed network protocols, data center architectures, cloud computing, smart energy grids, wireless networks, and distributed systems. Grants & Projects: Coordinated 7 EU projects (e.g., FLEXGRID, ORCHESTRA) and participated in 35+ others. National projects include roles as Scientific Director of the Greek School Network and CTI’s Network Technologies Division. Labs & Teams: Directs the High Speed Communication Networks Lab (HSCNL), collaborating with global institutions on optical networks, edge cloud, and smart grids. The lab’s work includes EU-funded projects on 5G, data centers, and renewable energy integration.

• Medical Imaging
• Artificial Intelligence
• Machine Learning
• +7 more

Dr. Neal Bangerter is a Visiting Professor in the Department of Bioengineering at Imperial College London's Faculty of Engineering. He specializes in medical imaging (MRI), artificial intelligence, machine learning, and signal processing. Dr. Bangerter holds adjunct appointments at INSEAD, the University of Utah, and Brigham Young University. His research focuses on ultra-high field MRI, AI applications in healthcare, and data-driven bioscience technologies. He leads the London Collaborative Ultra-High Field Scanner (LOCUS) project and advises companies on AI and innovation strategies. Education: B.S. in Physics (UC Berkeley), M.S. and Ph.D. in Electrical Engineering (Stanford University). Career highlights include roles at McKinsey & Company, Microsoft, and Reactrix, as well as founding BYU's Medical Imaging Research Center. He has pioneered cross-faculty initiatives like the Crocker Innovation Fellowship Program. Research interests include novel MRI pulse sequences, AI in medical imaging, and large-scale health data analysis. His work spans collaborations with Stanford, Oxford, Cambridge, and Siemens Healthcare. He teaches executive education at INSEAD, focusing on bridging technical concepts with business strategies. Key awards include the David Evans Chair at Brigham Young University. His contributions to the UK Biobank Neuroimaging study and development of MRI techniques like RAFO-4 highlight his impact on advancing imaging technologies and AI applications in healthcare.

Gabor OroszView profile

Professor

• Nonlinear dynamics and control
• Time delay systems
• Connected and automated vehicles
• +6 more

Gabor Orosz is a Professor at the University of Michigan in both the Department of Mechanical Engineering and Department of Civil and Environmental Engineering . His work bridges nonlinear dynamics and control , time delay systems , and connected automated vehicles , with a focus on traffic flow optimization and vehicle safety . Education: PhD in Engineering Mathematics, University of Bristol, UK (2006) MSc in Engineering Physics, Budapest University of Technology and Economics, Hungary (2002) Research Focus : Orosz's research explores the intersection of vehicle automation , connectivity , and nonlinear dynamics . He investigates time delay effects in teleoperation , intent-sharing protocols for cooperative maneuvering , and control barrier functions for safety-critical systems . His work spans theoretical analysis, numerical validation, and real-world experimentation. Article Trends : Recent publications highlight advancements in latency mitigation for remote driving , nonholonomic vehicle control , intent-sharing frameworks , and energy-efficient strategies for connected vehicle systems . Themes include delayed feedback , stochastic communication , and safety-guaranteed control . Awards & Appointments : NSF CAREER Award (2014) Fulbright Scholar at Budapest University of Technology (2023-2024) Editorial roles in Vehicle System Dynamics (2020) and Time Delay Systems (2017) Student Mentorship : Orosz has advised numerous PhD students, including Anil Alan (2024, TU Delft), Chaozhe He (2018, University at Buffalo), and Tamás Molnár (2020, Wichita State University). His alumni work at institutions like Toyota Research Institute , Ford Motor Co. , and Zoox . Labs & Teams : He leads research at the University of Michigan's Mechanical Engineering Department and collaborates with international institutions such as Caltech and Budapest University of Technology . His team focuses on experimental validation of connected vehicle systems and delay-tolerant control .

Magnus BångView profile

Associate Professor

• Artificial Intelligence
• Human-Computer Interaction
• Automation
• +3 more

Magnus Bång is a Senior Associate Professor at the Department of Computer and Information Science (IDA) at Linköping University, affiliated with the Artificial Intelligence and Integrated Computer Systems (AIICS) division. His research focuses on advancing human-AI collaboration, automation systems, and AI applications in domains like cyberphysical production, air traffic management, and process industries. He has contributed to interdisciplinary projects involving real-time human-automation interfaces, explainable AI dashboards for industrial processes, and safety-critical systems integration. His work bridges theoretical AI advancements with practical implementations in sectors such as aviation and maritime logistics. Notable collaborations include research with the Swedish Maritime Administration to enhance shipping efficiency through AI and interactive visualization. He actively participates in EU-funded initiatives like the Horizon 2020 projects targeting autonomous systems and air traffic control. Research interests span MLOps for industrial systems, glyph-based communication design for human-automation teams, and operator modeling across traffic management domains. His publications emphasize cross-disciplinary solutions to challenges in automation and human-centric AI design.

Gaye StephensView profile

Assistant Professor

• Health Informatics
• Electronic Health Records
• Patient Engagement
• +4 more

Gaye Stephens serves as Assistant Professor in the School of Computer Science and Statistics at Trinity College Dublin, where she is a core member of the Centre for Health Informatics alongside Dr. Lucy Hederman and Prof. Mary Sharp. She actively contributes to institutional governance as a board member of the Irish Platform for Patient Organisations, Science and Industry (IPPOSI) and serves on the school's research ethics committee. Her research centers on patient-centered health informatics with focus areas including Electronic Health Record design , citizen engagement methodologies (such as Citizen Juries and Think-ins), and scalable information models for healthcare integration. She pioneers approaches that position patients as central stakeholders in health data governance, addressing critical challenges in digital health literacy, informed consent frameworks, and interoperability between legacy and emerging health technologies. Analysis of her recent publications reveals consistent focus on knowledge engineering for healthcare , with particular emphasis on temporal data modeling in knowledge graphs (2024-2025), nurse knowledge elicitation through serious games (2023-2024), and novel methodologies like the WICKED framework for capturing clinical wisdom (2022-2023). Her work consistently bridges technical informatics with human-centered design principles. Stephens actively contributes to national health informatics infrastructure through memberships in: Royal Academy of Medicine of Ireland Council of Clinical Information Officers National Standards Authority of Ireland Health Informatics Group Health Informatics Society of Ireland (including Nursing and Midwifery group) e-Health Ireland ECOSYSTEM working group She supervises across undergraduate, MSc (Health Informatics and Global Health), and PhD programs while leading client-based final year projects. Her teaching portfolio includes Introduction to Health Informatics, Information Modeling, Connected Health, and Electronic Health Record Architectures, with research advising spanning health data governance and patient engagement projects. Stephens co-leads the Knowledge and Data Engineering Group's Health Informatics research stream, focusing on semantic interoperability, adaptive hypermedia systems, and novel engagement models for health data governance. Her current projects emphasize citizen-centered EHR architectures and interdisciplinary approaches to healthcare data integration.

Samuel SotilloView profile

Senior Lecturer

• Second Language Teaching
• IT in Education
• Venezuelan Literature
• +3 more

Samuel Sotillo is a Senior Lecturer in the Department of World Languages and Cultures at North Carolina State University. He specializes in Spanish literature, second language teaching, and the integration of technology in education. He co-founded A Contracorriente Press in 2011 and leads the Spain: Language and Culture in Valencia summer program. His research spans Venezuelan literature, medieval Spanish texts, and the intersection of literature with digital technologies and politics. Education: B.S. in Information Security (East Carolina University), M.A. in Spanish Literature and Culture (NC State University). Research Interests: Sotillo’s work explores contemporary Venezuelan literature, the legacy of Jorge Luis Borges, and the application of IT tools in language education. He has published analyses of historical figures like Eric Hobsbawm and technical papers on network security protocols such as EAP and IPv6. Professional Roles: Former NCSU Faculty Senator, Director of the Valencia study abroad program, and contributor to academic presses and journals. His technical expertise includes cybersecurity, VoIP encryption, and open-source software frameworks like Zope. Recognition: While no specific awards are noted, his contributions to academic publishing (e.g., A Contracorriente Press) and pedagogical innovation highlight his impact in both humanities and technical fields.

Axel MoehrenschlagerView profile

Adjunct Professor

• Conservation Biology
• Species Reintroduction and Translocation
• Community Conservation
• +3 more

Axel Moehrenschlager is an Adjunct Professor in the Department of Biological Sciences at the University of Calgary's Faculty of Science. He concurrently serves as Director of Conservation & Science at the Calgary Zoological Society and holds adjunct roles at Clemson University (Adjunct Associate Professor) and New Zealand's University of Canterbury (Erskine Fellow). His expertise spans conservation translocations, species reintroduction, and community-based conservation, with a focus on leveraging science for global biodiversity preservation. Moehrenschlager earned a B.Sc. from the University of Alberta (1993) and a D.Phil. in Zoology from Oxford University (2001). He chairs the IUCN's Conservation Translocation Specialist Group, driving policy integration of the IUCN Reintroduction Guidelines. He advises the UN Equator Prize and the St. Andrews Prize for the Environment, emphasizing sustainable conservation practices. His research integrates ecological, social, and policy dimensions, addressing challenges like sylvatic plague in prairie dogs, amphibian reintroductions, and swift fox genetics. Publications highlight innovative methodologies in conservation translocations, climate change impacts, and community-led conservation. His work bridges academic research with practical applications, aiming to harmonize biodiversity conservation with human well-being. Moehrenschlager has received the Erskine Fellowship (University of Canterbury) and contributed to over 30 peer-reviewed articles and book chapters. His leadership at the Calgary Zoo's Centre for Conservation Research fosters international collaborations, focusing on Africa and Madagascar. Current projects explore translocation success metrics and the ethical dimensions of conservation actions.

Vijay K. ShahView profile

Assistant Professor

• Networking
• Communications
• Controls
• +7 more

Vijay K. Shah is an Assistant Professor in the Electrical and Computer Engineering Department at North Carolina State University, leading the NextG Wireless Lab. His research focuses on advancing wireless communication and network technologies for beyond 5G/6G systems, including O-RAN architecture, spectrum management, and AI-driven network optimization. Education: Ph.D. in Computer Science, University of Kentucky (2019) Bachelor's in Computer Science and Engineering, National Institute of Technology, Durgapur (2013) Research emphasizes open radio access networks (O-RAN), mmWave testbeds, and cross-layer optimization. Recent work highlights include ORAN-Bench-13K (LLM benchmarking), ZT-RIC (zero-trust security frameworks), and Milli-O-RAN (reconfigurable mmWave networks). His contributions span O-RAN applications (xApps/rApps), satellite-terrestrial coexistence, and AI-driven positioning systems. Experimental validations include 3GPP-compliant 5G positioning and adversarial attack defenses. Publications reflect expertise in O-RAN architecture evolution, spectrum policy tools (ASCENT), and UAV-based network coordination (GLIDE). Current projects explore LEO satellite constellations and resilient disaster response networks. Labs/Teams: Head of the NextG Wireless Lab at NC State, focusing on prototype development in O-RAN, 6G, and secure AI-driven networks.