
Director
Behzad Moshiri
- Professor, School of Electrical and Computer Engineering, University of Tehran
- Director, Industrial Automation & Intelligent Information Processing Laboratory
- Adjunct Professor, Department of Electrical and Computer Engineering, University of Waterloo
- Member, Waterloo Data & AI Institute
Behzad Moshiri received his B.Sc. degree in mechanical engineering from Iran University of Science and Technology (IUST) in 1984, and M.Sc. and Ph.D. degrees in control systems engineering from the University of Manchester Institute of Science and Technology (UMIST), U.K., in 1987 and 1991 respectively. He joined the School of Electrical and Computer Engineering, University of Tehran in 1992, where he is currently Professor of Control Systems Engineering. He directs the Industrial Automation and Intelligent Information Processing Laboratory and is an Adjunct Professor in the Department of Electrical and Computer Engineering at the University of Waterloo, Canada, and a member of the Waterloo Data & AI Institute.
Education
- Ph.D., Control Systems Engineering — UMIST, United Kingdom, 1991
- M.Sc., Control Systems Engineering — UMIST, United Kingdom, 1987
- B.Sc., Mechanical Engineering — Iran University of Science and Technology, 1984
Honours
- Senior Member, IEEE (since 2006); Chair, Control Systems Chapter, IEEE Iran Section
- Member, International Society of Information Fusion (ISIF), since 2002
- President, Iranian Society of Instrumentation and Control Engineers (ISICE), 1999–2001
- President, Intelligent Systems Scientific Society of Iran (ISSSI), 2011–2013
- Head, Machine Intelligence & Robotics Group, School of ECE (two terms between 1999–2007)
- Distinguished Researcher Award, University of Tehran, 2003
- Distinguished Alumnus Award, Iran University of Science and Technology, 2004
- Active Participation Award for the Best Poster Presentation, ACIDCA-ICMI, Tunisia, 2005
- Member, ISA (Canada Branch), 1991–1992
Selected Publications
All publications →2026
A novel interpretable classification of lumbar spinal stenosis using a cascade deep learning approach and T2-weighted MRI
Mohammad Tabarestani, Niloufar Delfan, Mohammad Khoshnevisan, Jaber Hatam Parikhan, Amirmohammad Bahri, Amin Hessam, Mohsen Nabiuni, Behzad Moshiri
Journal of Neurosurgery Spine
2026
CB-OWL-ViT: A Multimodal Cost-Effective Framework for Contagious Disease Monitoring
Mohammad Fatahi, Danial Sadrian Zadeh, Ali Noormohammadi-Asl, Behzad Moshiri, Otman Basir, Ebrahim Navid Sadjadi, Jesús García-Herrero, José M. Molina
Mathematics
2026
Dynamic temporal fusion graph neural network for spatio-temporal air quality inference
Amin Sheikhzadeh, Behzad Moshiri, Ebrahim Ghafar-Zadeh
Engineering Applications of Artificial Intelligence
2026
EEG Source Localization: FEM Forward Modeling and MLP-Based Inverse Modeling
Melisa Daryaeiheravi, Zakieh Hassanzadeh, Ashkan Mahdavian, Fariba Bahrami, Ahmad Kalhor, Behzad Moshiri
Zenodo (CERN European Organization for Nuclear Research)
2026
SCST-Based Advantage Exploitation for Captioning: An Application in Traffic Scene Understanding
Danial Sadrian Zadeh, Behzad Moshiri, Otman A. Basir
IEEE Canadian Conference on Electrical and Computer Engineering (CCECE)