Roozbeh Razavi-Far

PH.D., LECTURER, ACADEMIC ADVISER,
COORDINATOR OF MASTER OF ENGINEERING PROGRAM, FACULTY OF ENGINEERING,
ADJUNCT PROFESSOR, ELECTRICAL & COMPUTER ENGINEERING, ​UNIVERSITY OF WINDSOR

 

 

 
 
 

 

Email:

roozbeh AT uwindsor DOT ca 

 

 

Address:

401 Sunset Ave, Windsor,

ON, Canada, N9B 3P4

 

Hello! I'm Roozbeh

 

Ph.D., Lecturer, Academic Adviser, Coordinator of Master of Engineering Programs.

Research scientist in machine learning, data mining and computational intelligence.

Skilled researcher in cybernetics and control of cyber-physical systems.
Strong background in condition monitoring, diagnostics, prognostics and fault-tolerant control systems.

RESEARCH INTEREST
 

Machine learning: statistical learning, deep learning, learning in non-stationary environments


Computational intelligence: fuzzy systems, neural networks, and genetic algorithms


Data mining: big data analytics, missing data, and mega-variate data analysis


Cybernetics in cyber-physical systems (CPS) and internet of things (IoT)

Fault diagnosis: plant monitoring and fault-tolerant control systems


Prognostics and health management of smart grids, mechatronic devices, sensors & actuators


Development of soft computing techniques for safety and reliability applications


Optimization, system identification, and control system design.

Modeling, control, and monitoring of energy and power systems and net-zero networks


Evolutionary computing and optimization algorithms


Signal processing, time-frequency analysis, predictive data analytics


Pattern recognition, computer vision, and cloud computing

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EDUCATION
2008 - 2011

Second Ph.D. Dissertation

Politecnico di Milano

Ensemble-based classifiers and incremental learning techniques for fault diagnosis of complex systems.

2004-2009

First Ph.D. Dissertation

Tehran Polytechnic University

Fault diagnosis of a power plant using model-based and neuro-fuzzy approaches.

2001-2004

 Master's Degree 

Tehran Polytechnic University

Fault detection and isolation of a power plant using neural networks and genetic algorithms

 
PUBLICATIONS
 

Selected Journal Publications

 

Razavi-Far, R., Farajzadeh-Zanjani, M., Saif, M. “An Integrated Class-Imbalance Learning Scheme for Diagnosing Bearing Defects in Induction Motors”. in IEEE Transactions on Industrial Informatics, vol. 13, no. 6, 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 , vol. 64, no.09, pp.7210-7217, 2017.

Razavi-Far, R., Kinnaert, M. “A multiple observers and dynamic weighting ensembles scheme for diagnosing new class faults in wind turbines”. Control Engineering Practice, 21(9), pp. 1165–1177, 2013.

 

Razavi-Far, R., Baraldi, P., Zio, E. “Dynamic weighting ensembles for incremental learning and diagnosing new concept class faults in nuclear power systems”. IEEE Transactions on Nuclear Science, 59(5), pp. 2520-2530, 2012. ​

Baraldi, P., Razavi-Far, R., Zio, E. “Classifier-ensemble incremental-learning procedure for nuclear transient identification at different operational conditions”. Reliability Engineering and System Safety, 96, pp. 480-488, 2011. 

 

Razavi-Far, R., Davilu, H., Palade, V., Lucas, C. “Model-based fault detection and isolation of a steam generator using neuro-fuzzy networks”. Neurocomputing Journal, 72(13-15), pp. 2939–2951, 2009.

More Publications

 
TEACHING EXPERIENCES
Data Mining

Lecturer

Condition Monitoring & Diagnostics

Lecturer

Electrical and Computer Engineering

6 semesters

 

Mechanical and Industrial Engineering

4 semesters

Civil and Environmental Engineering

3 semesters

 

Electrical and Computer Engineering

3 semesters

 

Mechanical and Industrial Engineering

3 semesters

 

Electrical and Computer Engineering

4 semesters

 

Mechanical Engineering

4 semesters

Automatic Control Systems

Lecturer

Fuzzy Logic and Fuzzy Control

Lecturer

Electrical and Computer Engineering

5 semesters

Neural Networks

Lecturer

Linear Control System

Lecturer

Electrical and Computer Engineering

5 semesters

Electrical and Computer Engineering

1 semester

 
2017 - Present

Lecturer, Academic Adviser, Coordinator of Master of Engineering Programs

FACULTY OF ENGINEERING,

UNIVERSITY OF WINDSOR

Teaching and Developing Courses in Faculty of Engineering; Advising MEng Students; Supervising Graduate Students and

Conducting Research

2014- 2017

Postdoctoral Fellow

FACULTY OF ENGINEERING,

UNIVERSITY OF WINDSOR

Projects: Machine learning, Data mining, Big data and Missing data. Cybernetics, Diagnostics, and Prognostics of Cyber-Physical Systems and IoT Devices.

 

R&D CONTROL GROUP, DANFOSS A/S, DENMARK​

Projects: Performance optimization of a distributed control system.

Cyber-physical systems automation

2011 - 2012

Research Scientist

2011 - 2011

Postdoctoral Fellow

DEPARTMENT OF CONTROL ENGINEERING, UNIVERSITE LIBRE DE BRUXELLES, BELGIUM

Project: Robust fault detection and isolation of complex dynamic system

2008- 2011

Research Assistant

DEPARTMENT OF ENERGY, POLITECNICO DI MILANO, ITALY

Project: Systematic analysis of the robustness & vulnerability of critical infrastructures

 

2008- 2011

Research Assistant

ELECTRICAL DEPARTMENT, AZAD UNIVERSITY OF MASHHAD, IRAN​

Projects: Control of multi-agent systems; Basics and applications of fuzzy reasoning in discourse structure analysis.

RESEARCH EXPERIENCE AND
ACADEMIC APPOINMENTS
CONTACT ME
 

Roozbeh Razavi-Far

PH.D., Lecturer, academic adviser,

Coordinator of Master of Engineering Programs

Faculty of Engineering, University of Windsor

 

 

 

Email:

roozbeh@uwindsor.ca

 

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