Jun Yan, PhD
Thesis supervisor Accepting inquiries
- Associate Professor & Research Chair, Concordia Institute for Information Systems Engineering
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Supervised programs: Information Systems Security (MASc), Computer Science (MCompSc), Quality Systems Engineering (MASc), Electrical and Computer Engineering (MASc), Information and Systems Engineering (PhD), Computer Science (PhD), Electrical and Computer Engineering (PhD)
Research areas: Computational intelligence, cyber-physical security, smart grids, cyber resilience, self-adaptive systems, agentic AI
Contact information
Biography
Education
- Ph.D. (2017), Electrical Engineering, University of Rhode Island, USA (with Excellence in Doctoral Research)
- M.Sc. (2013), Electrical Engineering, University of Rhode Island, USA
- B.Eng. (2011), Information & Communication Engineering, Zhejiang University, China
Research interests
- Computational intelligence, security, and resilience
- AI as tools, targets, and threats
- Causal learning, anomaly management, digital evidence
- Operational technology and industrial control systems
- Smart grids, smart vehicles, smart buildings, smart cities
Current Appointments
- Concordia University Research Chair (Tier 2) in Artificial Intelligence in Cyber Security and Resilience
- Concordia-MCN Co-chaire de recherche sur la cybersécurité et la résilience des réseaux de l’administration publique
- Co-Director, NSF EuReCa Global Center on Equitable, Resilient, and Clean Energy for Grid-Interactive Communities
- Co-Director, Digital Twins Hub, Concordia University
Publications
I have authored or co-authored over 100 peer-reviewed papers in the areas of computational intelligence, security, and resilience with applications for smart grids, smart cities, and other smart critical infrastructures.
According to Google Scholar, three of our papers are among the top-50 cited papers published on reputable journals (IEEE TIFS, IEEE TIE, IEEE TMECH, IET CPS) between 2018-24. I have also received best paper awards from IEEE WCCI/IJCNN and IEEE ICC, and best reviewer award from IEEE TSG.
For a complete list of publications, please see my homepage or my Google Scholar.
Recognition & Awards
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Most cited paper (as of Feb. 2022) of IET Cyber-Physical Systems: Theory & Applications.
- Top-50 cited papers published within the last 5 years on IEEE Transactions on Industrial Electronics, IEEE Transactions on Information Forensics and Security, and IEEE/ASME Transactions on Mechatronics.
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Best Paper Award, IEEE International Conference on Communications (ICC).
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Best Student Paper Award, IEEE World Congress on Computational Intelligence (WCCI).
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Best Readings on "Communications & Information Systems Security - Cyber Attacks" of IEEE Communication Society (2013).
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Front-cover paper on IEEE Transactions on Information Forensics and Security (TIFS), vol. 8, no. 4, April 2013.
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Excellence in Doctoral Research Award, University of Rhode Island, Ph.D. Class of 2018 (sole recipient).
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Best Reviewers, IEEE Transactions on Smart Grid (2016).
Teaching
- INSE 6640 - Smart Grids and Control System Security
- INSE 6630 - Recent Developments in Information Systems Security
(Topic: Recent Developments of AI/ML in Information Systems Security) - COEN 231 - Introduction to Discrete Mathematics
Services
- Chair, IEEE PES Task Force on Big Data and Analytics for Security and Resilience of Power Systems
Open Positions
If you are interested in researching cutting edge solutions in cyber security, machine learning, digital twinning, energy resilience, anomaly management, and multi-agent systems, please check my homepage for more information.
Interested applicants are encouraged to email me about current openings and scholarship opportunities, with the following subject line:
"Interest in [PhD/MS/PDF] position - [Your name] - [Expected start term, e.g., Fall 2025]"
Please enclose a copy of your most recent CV and transcript in the inquiry.