Dr. Roozbeh Razavi-Far

Adjunct Professor, Electrical and Computer Engineering
Lecturer, Academic Adviser, Faculty of Engineering

519-253-3000 ext. 5976
roozbeh@uwindsor.ca
Office: 2134 CEI

Education

  • Ph.D. (2011, Politecnico di Milano)
  • Ph.D. (2009, Amirkabir University of Technology, Tehran Polytechnic)
  • M.Sc. (2004, Amirkabir University of Technology, Tehran Polytechnic)

Research Interests

  • Machine Learning, Deep Learning, Learning in Non-stationary Environments
  • Data Mining, Big Data Analytics, Missing Data Analysis, Data Fusion
  • Cybernetics and Control of Safety-Critical and Cyber-Physical Systems
  • Diagnostics, Prognostics and Fault-Tolerant Control System Design
  • Computational Intelligence, Reinforcement Learning, Manifold Learning

Professional Affiliations

  • Member of Institute of Electrical and Electronics Engineers (IEEE)
  • Member of IEEE Computational Intelligence Society (CIS)
  • Member of IEEE Systems, Man, and Cybernetics Society (SMC) 
  • Member of IEEE Industrial Electronics Society (IES)

Selected Publications

  • Razavi-Far, R., Hallaji, E., Zanajni, M.F., Saif, M., Hedayati-Kia, S., Heano, H., Capolino, G. “Information Fusion and Semi-Supervised Deep Learning Scheme for Diagnosing Gear Faults in Induction Machine Systems”. IEEE Transactions on Industrial Electronics, DOI: 10.1109/TIE.2018.2873546.
     
  • Razavi-Far, Hallaji, E., Zanajni, M.F., Saif, M., “A Semi-supervised Diagnostic Framework Based On the Surface Estimation of Faulty Distributions”. IEEE Transactions on Industrial Informatics, DOI: 10.1109/TII.2018.2851961, 2018.
     
  • Razavi-Far, R., Hallaji, E., Saif, M., Ditzler, G. “A Novelty Detector and Extreme Verification Latency Model for Nonstationary Environments”. IEEE Transactions on Industrial Electronics, 66(01), pp. 561-570, 2019.
     
  • Razavi-Far, R., Zanjani, M.F., Saif, M. “An Integrated Class-Imbalance Learning Scheme for Diagnosing Bearing Defects in Induction Motors”. IEEE Transactions on Industrial Informatics, 13(06), pp. 2758-2769, 2017.
     
  • Hassani, H., Zarei, J., Arefi, M.M., Razavi-Far, R. “zSlices-Based General Type-2 Fuzzy Fusion of Support Vector Machines with Application to Bearing Fault Detection”. IEEE Transactions on Industrial Electronics, 64(09), pp.7210-7217, 2017.

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