Mohsen Azizi
Contact
- sazizi@mtu.edu
- 906-487-2638
- EERC 412
Assistant Professor, School of Technology
- PhD, Electrical and Computer Engineering, Concordia University, Canada, 2010
- MSc, Electrical and Computer Engineering, Concordia University, Canada, 2005
- BSc, Electrical Engineering, Sharif University of Technology, Iran, 2003
Biography
Mohsen Azizi joined Michigan Tech as an assistant professor of electrical engineering technology in August 2013. He received the B.Sc. degree in electrical engineering from Sharif University of Technology, Tehran, Iran, in 2003, and the M.Sc. and Ph.D. degrees in electrical and computer engineering from Concordia University, Montreal, Canada, in 2005 and 2010, respectively. From 2010 to 2013, he worked as a R&D engineer at Aviya Tech Inc. and Pratt & Whitney Canada Inc., Longueuil, Canada. Since 2012 he has been an adjunct assistant professor in electrical and computer engineering at Concordia University. He was awarded several competitive scholarships and fellowships such as the Natural Sciences and Engineering Research Council of Canada (NSERC) Postgraduate Scholarship Doctoral 2007-2010, and Fonds québécois de la recherche sur la nature et les technologies (FQRNT) Postdoctoral Fellowship from the Government of Quebec 2011-2012.
Dr. Azizi has authored/coauthored 5 journal and 21 conference publications. His research interests include cooperative control and networked estimation in multi-agent systems, distributed and decentralized control of large-scale systems, and fault detection, identification, and recovery (FDIR). He is specifically interested in the application of control systems and diagnostics in jet engines, unmanned vehicles, and aircraft. He is a member of the Institute of Electrical and Electronics Engineers (IEEE), and a reviewer of IEEE Transactions on Automatic Control (TAC) and IEEE Transactions on Control Systems Technology (TCST).
Research Interests
- Cooperative control and networked estimation in multi-agent systems
- Distributed and decentralized control of large-scale systems
- Fault detection, identification, and recovery (FDIR)
- Applications: jet engines, unmanned vehicles, and aircraft
Teaching Interests
- Signals and Systems, Digital Signal Processing, Optimization Techniques
- Linear Control Systems, Industrial Control, Digital Control
- Decentralized Control, Nonlinear Control, Adaptive Control
- Detection and Estimation Theory, Probability and Stochastic Processes
