Arash Mohammadi, PhD, P.Eng. (PEO)

ARASH MOHAMMADI (Senior Member IEEE’2017) is currently an Associate Professor with Concordia Institute for Information Systems Engineering (CIISE), Concordia University, Montreal, QC, Canada. He received B.Sc. degree form ECE Department at University of Tehran, Tehran, Iran, in 2005, the M.Sc. degree from BME Department at Amirkabir University of Technology (Tehran Polytechnic), Tehran, Iran, in 2007, and Ph.D. degree from EECS Department at York University, in 2013. From 2013 to 2015, he was a Post-Doctoral Fellow at the Multimedia Lab, in the ECE Department, at the University of Toronto. He is a registered Professional Engineer in Ontario.

Currently, he is the Academic Chair of the Canadian Medical and Biological Engineering Society (EMBC); Special Session Chair of 2025 IEEE International Conference on Image Processing (ICIP); Workshop Chair of 2025 IEEE International Conference on Human-Machine Systems (ICHMS), and; Lead Guest Editor of the IEEE Transactions on Human-Machine Systems (THMS) Special Issue on ``Trustworthy Human-Autonomy Teaming.''

He was the Program Chair of 2024 IEEE ICHMS; Director of Membership Developments of IEEE Signal Processing Society (2018–2021), and the General Co-Chair of 2021 IEEE International Conference on Autonomous Systems (ICAS). Additionally, he was a member of the Organizing Committee of 2023 IEEE Intelligent Vehicles Symposium (IV 2023), 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), and 2021 IEEE International Conference on Image Processing (ICIP).

Dr. Mohammadi is recipient of several distinguishing awards, including the Eshrat Arjomandi Award for outstanding Ph.D. dissertation from EECS, York University, 2022 Concordia University Research Award of Excellence, 2018 Concordia President’s Excellence in Teaching Award, and 2019 and 2022 Gina Cody School of Engineering and Computer Science’s Research awards.

INSE 6310

Systems Engineering Maintenance Management
(Winter-2016)

This course teaches basic concepts, models, methods and tools in maintenance management. The related reliability concepts, deterministic replacement, preventive maintenance and condition based maintenance will be discussed. Case studies will be performed. Software tools will be introduced.

• A. Shamsi*, X.-Y. Guo, H. Alinejad-Rokny, A. Mohammadi, D. Teney, and E. Abbasnejad, "Multi-Hypothesis Test-Time Adaptation to Mitigate Underspecification," in Proceedings of the European Conference on Computer Vision (ECCV), 2026. 

• Shahabodini, S.*, Mansoori, M.*, Bayatmakou, F.*, Abouei, J., Plataniotis, K., & Mohammadi, A. "The Missing Point in Vision Transformers for Universal image Segmentation," In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp. 6314-6324, 2026.

• B.G. Doan, A. Shamsi, X.Y. Guo, A. Mohammadi, H. Rokny, D. Sejdinovic, D. Teney, D. Ranasinghe, E. Abbasnejad, "Bayesian Low-Rank LeArning (Bella): A Practical Approach to Bayesian Neural Networks" The 39th Annual AAAI Conference on Artificial Intelligence, 2025. In Press.

• S. Khademi*, S. Heidarian*, P. Afshar*, A. Mohammadi, A. Sidiqi, E. T. Nguyen, B. Ganeshan, and A. Oikonomou,  "Lung Nodule Malignancy Classification Integrating Deep and Radiomic Features in a Three-Way Attention-Based Fusion Module"Journal of Imaging, vol. 11, no. 10, p. 360, Oct. 2025.

• G. Kianfar and A. Mohammadi, "From Prompt to Purpose: Engineering Reliable Agentic AI" IEEE Reliability Magazine, vol. 3, no. 2, pp. 19-22, June 2026.

• A. Shamsi*, R. Becirovic, H. Alinejad-Rokny, A. Mohammadi, and A. Argha, "Gradient Surgery: A Necessity for Robust Test-Time Adaptation for Detecting Casting Defects" Engineering Applications of Artificial Intelligence, vol. 161, p. 112039, Dec. 2025.

• Z.H. Meybodi, A. Mohammadi, M. Hou, E. Rahimian, S. Heidarian, J. Abouei, K.N.  Plataniotis, "Multi-content time-series Popularity Prediction with Multiple-Model Transformers in MEC Networks," Ad Hoc Networks, vol. 157, 103436, 2024.

• S. Zabihi, E. Rahimian, A. Asif,  and A. Mohammadi, "TRAHGR: Transformer for hand Gesture Recognition via Electromyography," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 31, pp. 4211-4224, 2023.

• M. Montazerin, E. Rahimian, F. Naderkhani, S.F. Atashzar, S. Yanushkevich, A. Mohammadi "Transformer-based Hand Gesture Recognition from Instantaneous to Fused Neural Decomposition of High-Density EMG Signals" Nature Scientific reports, vol. 13, no. 1, 2023.

• E. Rahimian, S. Zabihi, A. Asif, D. Farina, S. F. Atashzar and A. Mohammadi, "FS-HGR: Few-Shot Learning for Hand Gesture Recognition via Electromyography" IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 29, pp. 1004-1015, 2021.

• S. Vahidi, M. Ghafouri, M. Au, M. Kassouf, A.  Mohammadi, M. Debbabi, "Security of Wide-Area Monitoring, Protection, and Control (WAMPAC) Systems of the Smart Grid: A Survey on Challenges and Opportunities." IEEE Communications Surveys & Tutorials, vol. 25, no. 2, pp. 1294-1335, 2023.

• M. Salimibeni, Z. Hajiakhondi-Meybodi, A. Mohammadi, Y. Wang, "TB-ICT: A Trustworthy Blockchain-Enabled System for Indoor Contact Tracing in Epidemic Control," IEEE Internet of Things Journal, vol. 10, no. 7, pp. 5992-6017, 2023.

• Z.H. Meybodi, A. Mohammadi, M. Hou, K.N.  Plataniotis, "DQLEL: Deep Q-learning for Energy-Optimized LoS/NLoS UWB node Selection,"  IEEE Transactions on Signal Processing, vol. 70, 2532-2547, 2022.

• F. Ronaghi, M. Salimibeni, F. Naderkhani, A. Mohammadi, "COVID19-HPSMP: COVID-19 Adopted Hybrid and Parallel Deep Information Fusion Framework for Stock Price Movement Prediction," Expert Systems with Applications, vol. 187, 115879, 2022.

• A. Amini, A., Asif, A. Mohammadi, "A Unified Optimization for Resilient Dynamic Event-Triggering Consensus Under Denial of Service" IEEE Transactions on Cybernetics, vol. 52, no. 5, pp. 2872-2884, 2022.

• A. Amini, A., Asif, A. Mohammadi, A. Azarbahram, "Sampled-Data Dynamic Event-Triggering Control for Networked Systems Subject to DoS Attacks" IEEE Transactions on Network Science and Engineering, vol. 8, no. 3, pp. 1978-1990,  2021.

• P. Afshar, A. Oikonomou,, F. Naderkhani,  P.N. Tyrrell, K.N. Plataniotis, K. Farahani, A. Mohammadi, "3D-MCN: A 3D Multi-Scale Capsule Network for Lung Nodule Malignancy Prediction" Nature Scientific Reports, vol. 10(1), 2020.

• A. Amini, A., Asif, A. Mohammadi, "Formation-Containment Control using Dynamic Event-Triggering Mechanism for Multi-Agent Systems" IEEE/CAA Journal of Automatica Sinica, vol. 7, no. 5, pp. 1235-1248, 2020.

• P. Afshar, S. Heidarian, F. Naderkhani, A. Oikonomou, K.N. Plataniotis, A. Mohammadi, "COVID-CAPS: A Capsule Network-based Framework for Identification of COVID-19 Cases from X-Ray Images,"  Pattern Recognition Letters, vol. 138, pp. 638-643, 2020.

• S. Shahtalebi, S.F. Atashzar, O. Samotus, R.V. Patel, M.S. Jog, A. Mohammadi, "PHTNet: Characterization and Deep Mining of Involuntary Pathological Hand Tremor using Recurrent Neural Network Models," Nature Scientific reports, 10(1), 2195, 2020.

• P. Afshar, A. Mohammadi, K.N. Plataniotis, A. Oikonomou, H. Benali, "From Handcrafted to Deep-Learning-based Cancer Radiomics: Challenges and Opportunities" IEEE Signal Processing Magazine, vol. 36, no. 4, pp. 132-160, 2019.

• A. Al-Dulaimi, S. Zabihi, A. Asif, A. Mohammadi, "A Multimodal and Hybrid Deep Neural Network Model for Remaining Useful Life Estimation" Computers in industry, vol. 108, pp. 186-196, 2019.

• S. Shahtalebi and A. Mohammadi, "Bayesian Optimized Spectral Filters Coupled With Ternary ECOC for Single-Trial EEG Classification," IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 26, no. 12, pp. 2249-2259, Dec. 2018.

• Arash Mohammadi and Konstantinos N. Plataniotis, "Improper Complex-Valued Multiple-Model Adaptive Estimation," IEEE Transactions on Signal Processing, vol. 63, no. 6, pp. 1528-1542, 2015.

• Arash Mohammadi and Konstantinos N. Plataniotis, "Improper Complex-Valued Bhattacharyya Distance," IEEE Transactions on Neural Networks and Learning Systems, vol. 27, no. 5, pp. 1049-1064, May 2016.

• Arash Mohammadi and Konstantinos N. Plataniotis, "Distributed Widely Linear Multiple-Model Adaptive Estimation," IEEE Transactions on Signal and Information Processing over Networks vol. 1, no. 3, pp. 164-179, Sep. 2015.

• Arash Mohammadi and Amir Asif, "Distributed Consensus Innovation Particle Filtering for Bearing/Range Tracking with Communication Constraints," IEEE Transactions on Signal Processing, vol. 63, no. 3, pp. 620-635, 2015.

• Arash Mohammadi and Amir Asif, " Consensus-based Distributed Dynamic Sensor Selection in Decentralised Sensor Networks Using the Posterior Cramer-Rao Lower Bound," Signal Processing, vol. 108, pp. 558-575, 2015.

• Arash Mohammadi and Amir Asif, "Full and Reduced-order Distributed Bayesian Estimation: Analytical Performance Bounds," IEEE Transaction on Aerospace and Electronic Systems, vol. 50, issue 4, pp. 2468-2488, 2014.

• Arash Mohammadi and Amir Asif, "Distributed Particle Filter Implementation with Intermittent/Irregular Consensus Convergence," IEEE Transactions on Signal Processing, vol. 61, no. 10, pp. 2572-2587, May 15, 2013.

• P. Afshar, K.N. Plataniotis, A. Mohammadi, "BayesCap: A Bayesian Approach to Brain Tumor Classification Using Capsule Networks,"  IEEE Signal Processing Letters, vol. 27, pp. 2024-2028, 2020.