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
Autonomous vehicles and mobile robots
Perception, path planning, control
Algorithms, software, hardware
Robotic exoskeletons and rehabilitation devices
Adaptive control systems
Neural networks and learning systems
Fault diagnostics and prognostics
Optimal control
Distributed systems
Cyber-physical systems
Current Projects Involving Graduate Students
Autonomous vehicles research and development.
Development of autonomous mobile robots for agricultural purposes.
Sensing, estimation and control for Robotic exoskeletons.
Professional Affiliations
Institute of Electrical and Electronics Engineers
IEEE Control Systems Society
IEEE Intelligent Transportation 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 fornon-lineardiscrete-time systems with additive and multiplicative faults,” inTransactions 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,” inIEEE 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,” inAutomatica, vol. 66, pp. 122-131, 2016.
H. Ferdowsi and S. Jagannathan, “A decentralized fault tolerant controller for nonlinear continuous-time interconnected systems,” inInternational Journal of Control, Automation, and Systems, vol 15, no. 2, pp. 527-536, 2017.
Ferdowsi and S. Jagannathan, “Decentralized fault diagnosis and prognosis scheme for interconnected nonlinear discrete-time systems,” International Journal of Prognostics and Health Management (IJPHM), vol 8, no. 1, pp. 1-15, 2017.
Ferdowsi and S. Jagannathan, “Fault diagnosis of distributed parameter systems with parabolic PDE models,” in ASME Journal of Dynamical Systems, Measurement and Control,vol. 140, no. 1, pp. 011010-1 – 011010-6, 2018.
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
Wolfe, S. Kudernatsch, D. R. Peterson, H. Ferdowsi, “A Machine Learning Approach to Hand-Arm Motion Prediction for Active Upper Extremity Occupational Exoskeleton Devices,” Proceedings of the Human Factors and Ergonomics Society Annual Meeting, vol. 64, no. 1, pp. 890–893, Chicago, IL, Dec 2020.
Van Phan, H. Ferdowsi, and N. Lotfi. “Trajectory Control of Omnidirectional Mobile Robots Considering Low-level Actuator Dynamics,” 28th Mediterranean Conference on Control and Automation (MED), pp. 996-1001, Saint-Raphaël, France, Sep 2020.
C. Bhupathi and H. Ferdowsi, “An Augmented Sliding Window Technique to Improve Detection of Curved Lanes in Autonomous Vehicles,” 2020 IEEE International Conference on Electro Information Technology (EIT), pp. 522–527, Chicago, IL, Aug 2020.
Ciuntu and H. Ferdowsi, “Real-Time Traffic Sign Detection and Classification Using Machine Learning and Optical Character Recognition,” 2020 IEEE International Conference on Electro Information Technology (EIT), pp. 480–486, Chicago, IL, Aug 2020.
Ferdowsi, J. Cai, S. Jagannathan, “Fault Detection and Estimation for a Class of Nonlinear Distributed Parameter Systems,” 2019 IEEE International Conference on Prognostics and Health Management, pp. 1-8, San Francisco, CA, Jun 2019.
Ferdowsi and N. Lotfi, “Fault detection and failure prediction in Li-ion batteries based on single particle model,” 2017 ASME Dynamic Systems and Control Conference, Tyson Corner, VA, 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.