Hasan Ferdowsi, Ph.D.

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

• 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 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.
• 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.