Hamed Tabkhi, Ph.D.

Education:

• Ph.D. Northeastern University, Boston, USA, 2014
• M.S. Sharif University of Technology, Tehran, Iran, 2008
• B.S. Sharif University of Technology

Research:

• Privacy-Preserving Urban Intelligence and Edge Video Analytics
• Computer Systems Design for Real-World AI Applications
• Cyber-Physical Systems Foundations and Connected Communities
• Self-Supervised Anomaly Detection for Social and Engineering Systems
• Algorithms and Architectures for Physics-Informed Foundation Models

Selected Publications:

1. S. Yao, N. Rashvand, A. Danesh Pazho, H. Tabkhi, From Offline to Periodic Adaptation for Pose-Based Shoplifting Detection in Real-World Retail Security, IEEE Internet of Things Journal, January 2026. DOI: 10.1109/JIOT.2026.3660205.
2. A.D. Pazho, S. Yao, G. A. Noghre, B. R. Ardabili, V. Katariya, H. Tabkhi, Towards Adaptive Human-Centric Video Anomaly Detection: A Comprehensivie Framework and a New Benchmark, IEEE Transations on Circuits and Systems for Video Technology, 2025. DOI: 10.1109/TCSVT.2025.3632768.
3. B. Rahimi Ardabili, A. Danesh Pazho, G. Alinezhad Noghre, V. Katariya, G. Hull, S. Reid, H. Tabkhi, Exploring Public’s Perception of Safety and Video Surveillance Technology: A Survey Approach, Technology in Society (Elsevier), Vol. 78, Article 102641, September 2024. DOI: 10.1016/j.techsoc.2024.102641.
4. A. Danesh Pazho, G. Alinezhad Noghre, A. Purkayastha, J. Vempati, M. Otto, H. Tabkhi, A Survey of Graph-Based Deep Learning for Anomaly Detection in Distributed Systems, IEEE Transactions on Knowledge and Data Engineering, Vol. 36, No. 1, pp. 1-20, 2024. DOI: 10.1109/TKDE.2023.3282898.
5. A. Daneish Pazho, C. Neff, G. Alinezhad Noghre, B. Rahimi Ardabili, S. Yao, M. Baharani, H. Tabkhi, Ancilia: Scalable Intelligent Video Surveillance for the Artificial Intelligence of Things, IEEE Internet of Thins Journal, 2023

Personal Website:

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