Northern Illinois University
College of Engineering and Engineering Technology
Northern Illinois University

Title:	Assistant Professor
Department:	Electrical Engineering
Office Location:	EB 348
Office Phone:	815-753-3963
Email:	hferdowsi@niu.edu

Education

• Ph.D. in Electrical Engineering, Missouri University of Science and Technology (2013)
• M.S. in Electrical Engineering, Isfahan University of Technology (2010)
• B.S. in Electrical Engineering, Isfahan University of Technology (2007)

Research Interests

• Fault diagnostics and prognostics
• Adaptive control systems
• Neural networks and learning systems
• Optimal control
• Stability of nonlinear systems
• Adaptive estimation
• Distributed systems
• Robotic and vehicular systems
• Autonomous systems
• Power and energy systems
• Cyber-physical systems
• Rehabilitation devices

Professional Activities and Associations

Review Activities

• IEEE Transactions on Neural Networks 
• IEEE Transactions on Systems, Man and Cybernetics: Systems 
• Transactions of the Institute of Measurement and Control 
• IEEE Transactions on Cybernetics 
• IET Control Theory and Applications 
• IEEE Transactions on Industrial Electronics 
• Journal of Mechanical Engineering Science 
• International Journal of Control 
• IEEE/CAA Journal of Automatica Sinica 
• IEEE Conference on Decision and Control 
• IEEE Multi-Conference on Systems and Control

Professional Affiliations

• Institute of Electrical and Electronics Engineers
• IEEE Control Systems Society
• Prognostics and Health Management Society
• Center for Intelligent Maintenance Systems
• ASME Automotive and Transportation Systems Technical Committee
• IEEE Technical Committee on Automotive Control

Selected Publications

Journals

• H. Ferdowsi and S. Jagannathan, “A unified model-based fault diagnosis scheme for non-linear discrete-time systems with additive and multiplicative faults,” in Transactions of the Institute of Measurement and Control, vol. 35, no. 6, pp. 742-752, 2013.
• H. Ferdowsi, S. Jagannathan, and M. Zawodniok, “An online outlier identification and removal scheme for improving fault detection performance,” in IEEE Transactions on Neural Networks and Learning Systems, vol.25, no.5, pp. 908-919, 2014.
• J. Cai, H. Ferdowsi, and S. Jagannathan, “Model-based fault detection, estimation, and prediction for a class of linear distributed parameter systems,” in Automatica, vol. 66, pp. 122-131, 2016.
• H. Ferdowsi and S. Jagannathan, “A decentralized fault tolerant controller for nonlinear continuous-time interconnected systems,” in International Journal of Control, Automation, and Systems, vol 15, no. 2, pp. 527-536, 2017.
• H. Ferdowsi and S. Jagannathan, “Fault diagnosis of distributed parameter systems with parabolic PDE models,” in ASME Journal of Dynamical Systems, Measurement and Control, 2017, doi:10.1115/1.4037332.
• H. Ferdowsi and S. Jagannathan, “Decentralized fault diagnosis and prognosis scheme for interconnected nonlinear discrete-time systems,” Accepted for publication in International Journal of Prognostics and Health Management (IJPHM), 2017.

Conference Papers 

• H. Ferdowsi and N. Lotfi, “Fault detection and failure prediction in Li-ion batteries based on single particle model,” Accepted for publication and presentation at 2017 ASME Dynamic Systems and Control Conference, Oct 2017
• H. Ferdowsi, “Fault detection and estimation in a class of distributed parameter systems,” 2017 Machinery Failure Prevention Technology Annual Conference, Virginia Beach, VA, May 2017.
• J. Cai, H. Ferdowsi, and S. Jagannathan, “Model-based actuator fault accommodation for distributed parameter systems represented by coupled linear PDEs,” 2015 IEEE Conference on Control Applications (CCA), Sydney, Australia, Sep. 2015.
• J. Cai, H. Ferdowsi, and S. Jagannathan, “Model-based Fault Diagnosis and Prediction for a Class of Distributed Parameter Systems,” 2014 IEEE Conference on Decision and Control (CDC), Los Angeles, California, Dec. 2014.
• H. Ferdowsi and S. Jagannathan, “Fault diagnosis of a class of distributed parameter systems modeled by parabolic partial differential equations,” 2014 American Control Conference (ACC), Portland, Oregon, Jun. 2014.
• H. Ferdowsi, S. Jagannathan, and M. Zawodniok, “A neural network based outlier identification and removal scheme,” 2013 IEEE International Conference on Prognostics and Health Management (PHM), Gaithersburg, Maryland, Jun. 2013.
• H. Ferdowsi and S. Jagannathan, “A decentralized fault accommodation scheme for nonlinear interconnected systems,” 2013 IEEE International Conference on Prognostics and Health Management (PHM), Gaithersburg, Maryland, Jun. 2013.
• H. Ferdowsi, D.L. Raja, and S. Jagannathan, “A decentralized fault detection and prediction scheme for nonlinear interconnected continuous-time systems,” 2012 International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia, Jun. 2012.
• H. Ferdowsi, D.L. Raja, and S. Jagannathan, “A decentralized fault prognosis scheme for nonlinear interconnected discrete-time systems,” 2012 American Control Conference (ACC), Montreal, Quebec, Canada, Jun. 2012.
• H. Ferdowsi and S. Jagannathan, “A unified model-based fault diagnosis scheme for nonlinear discrete-time systems with additive and multiplicative faults,” 50th IEEE Conference on Decision and Control and European Control Conference (CDC-ECC), pp. 1570-1575, Orlando, Florida, Dec. 2011.

Selected Presentations

• H. Ferdowsi, “Fault detection and estimation in a class of distributed parameter systems,” 2017 Machinery Failure Prevention Technology Annual Conference, Virginia Beach, Virginia.
• J. Cai, H. Ferdowsi, and S. Jagannathan, “Model-based actuator fault accommodation for distributed parameter systems represented by coupled linear PDEs,” 2015 IEEE Conference on Control Applications (CCA), Sydney, Australia.
• J. Cai, H. Ferdowsi, and S. Jagannathan, “Model-based Fault Diagnosis and Prediction for a Class of Distributed Parameter Systems,” 2014 IEEE Conference on Decision and Control (CDC), Los Angeles, California.
• H. Ferdowsi, “Sensor Placement in Distributed Parameter Systems for Diagnostics”, 28th Industry Advisory Board Meeting for Intelligent Maintenance Systems Center, Austin, Texas.
• H. Ferdowsi and S. Jagannathan, “Fault Diagnosis of a Class of Distributed Parameter Systems Modeled by Parabolic Partial Differential Equations”, 2014 American Control Conference (ACC), Portland, Oregon.
• H. Ferdowsi, “A Systematic Approach for Selecting the Number and Location of Physical and Virtual Sensors”, 27th Industry Advisory Board Meeting for Intelligent Maintenance Systems Center, St. Louis, Missouri.
• H. Ferdowsi, “Fault diagnosis of industrial distributed parameter systems”, 26th Industry Advisory Board Meeting for Intelligent Maintenance Systems Center, Ann Arbor, Michigan.
• H. Ferdowsi, S. Jagannathan, and M. Zawodniok, “A neural network based outlier identification and removal scheme”, IEEE International Conference on Prognostics and Health Management (PHM), Gaithersburg, Maryland.
• H. Ferdowsi and S. Jagannathan, “A decentralized fault accommodation scheme for nonlinear interconnected systems”, IEEE International Conference on Prognostics and Health Management (PHM), Gaithersburg, Maryland.
• H. Ferdowsi, “Fault diagnosis and prognosis of distributed parameter industrial systems”, 25th Industry Advisory Board Meeting for Intelligent Maintenance Systems Center, Mason, Ohio.
• H. Ferdowsi, “Online outlier identification and removal for enhancing fault detection performance”, 24th Industry Advisory Board Meeting for Intelligent Maintenance Systems Center, Austin, Texas.
• H. Ferdowsi, “Application of models in diagnostics and prognostics development”, 24th Industry Advisory Board Meeting for Intelligent Maintenance Systems Center, Austin, Texas.
• H. Ferdowsi, D.L. Raja, and S. Jagannathan, “A decentralized fault detection and prediction scheme for nonlinear interconnected continuous-time systems”, International Joint Conference on Neural Networks (IJCNN), Brisbane, Australia.
• H. Ferdowsi, D.L. Raja, and S. Jagannathan, “A decentralized fault prognosis scheme for nonlinear interconnected discrete-time systems,” 2012 American Control Conference (ACC), Montreal, Quebec, Canada.
• H. Ferdowsi, “A decentralized detection and accommodation scheme for complex industrial systems”, 23rd Industry Advisory Board Meeting for Intelligent Maintenance Systems Center, Warren, Michigan.
• H. Ferdowsi and S. Jagannathan, “A unified model-based fault diagnosis scheme for nonlinear discrete-time systems with additive and multiplicative faults”, 50th IEEE Conference on Decision and Control (CDC), Orlando, Florida.
• H. Ferdowsi, “System level fault diagnosis and prognosis scheme for complex industrial systems”, 22nd Industry Advisory Board Meeting for Intelligent Maintenance Systems Center, Cincinnati, Ohio.
• H. Ferdowsi, “A model-based outlier detection scheme”, 22nd Industry Advisory Board Meeting for Intelligent Maintenance Systems Center, Cincinnati, Ohio.
• H. Ferdowsi, “Decentralized fault prognosis framework for complex industrial systems”, 21st Industry Advisory Board Meeting for Intelligent Maintenance Systems Center, St. Louis, Missouri.
• H. Ferdowsi, “A unified model-based fault diagnosis scheme for industrial systems with both additive and multiplicative faults”, 21st Industry Advisory Board Meeting for Intelligent Maintenance Systems Center, St. Louis, Missouri.

Work Experience

• Research Assistant Professor, Northern Illinois University (current)
• Assistant Professor, Texas A&M University - Texarkana (2014-2017)
• Postdoctoral Research Fellow, Missouri University of Science and Technology (2014)
• Intern, Automation Systems Management Unit, Taban Niroo Co. (2007)