Innovation, Science, and Technology Building, Room 2097, 4700 Research Way, Lakeland, FL 33805
Ph.D. in Electrical Engineering, Florida International University, 2015
M.Sc. in Electrical Engineering, Florida International University, 2012
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Dr. Arman Sargolzaei’s expertise is in applying linear and nonlinear control methods, machine learning, and artificial intelligence to the field of cyber-physical systems. His mission is to enhance the quality of life for people, with assuring security and privacy concerns through extensive collaboration among multi-disciplinary fields. His research on security of networked control systems (NCSs) and particularly his doctoral dissertation entitled “Time-Delay Switch Attack on Networked Control Systems, Effects, and Countermeasures,” combined the knowledge of control theory, system identification, mathematics, and statistics and carried significant practical implications in better understanding the pathways of faults, failure, and attack detection and compensation for NCSs.
He followed his vision in securing NCSs by leading several funded projects. He is recognized with the honor of “Faculty Research Excellence Award” for two consecutive years. He has three years of industrial experience as a system development engineer and supervisor of the internship program at PLC International Inc., a multinational corporation specializing in telecommunications for electrical substations and smart grid applications. In this position, he was a lead engineer for a product called Rugged Smart Machine-to-Machine platform, which received the best of show innovation award at ITEXPO for two consecutive years.
He believes in the importance of interdisciplinary collaboration as the key for success. His major collaborates are NIST, IBM, Lockheed Martin, University of Florida, Florida International University, and University of California-Los Angles. He serves as a chair for several university committees such as faculty hiring and program assessment. Sargolzaei’s peer-reviewed research on the theory and applications of cyber-physical systems, control systems, and embedded systems has been published in more than 70 articles [H index = 13].
Sargolzaei has one active and three pending patents for his research efforts on the security of NCSs. He has presented extensively in international and national conferences and workshops, chaired industrial and research workshops and training events, received research awards, grants and reviewed top quality journal papers. He serves as a reviewer for high impact ISI journals such as IEEE Transactions on Smart Grid, IEEE Transactions on Cybernetics, IEEE Transactions on Industrial Applications, and IEEE Transactions on Industrial Electronics. He also serves as the editorial board of the International Journal of Instrumentation and Control Systems, and International Journal of Machine Learning and Applications. He is a member of IEEE young professionals, IEEE control systems society, and IEEE power and energy society. He is largely involved in national and international fund-raising events for improving the educational and training on cyber-physical systems. He is a proud splash instructor volunteer and actively participates in outreach events.
- Control systems
- Security of cyber physical systems
- Resilient networked control systems
- Unmanned aerial and ground vehicles
- Chair of program assessment committee, Florida Polytechnic University, fall 2018-ongoing
- Chair of faculty hiring committee, Florida Polytechnic University, fall 2018, fall 2019
- Institutional Effectiveness Committee member at Florida Polytechnic University
- Editorial board member for International Journal of Instrumentation and Control Systems, and International Journal of Machine Learning and Application
- Reviewer for IEEE Transaction on Smart Grid, IEEE Transaction on Cybernetics, Journal of Energy and Power Engineering, IEEE Transaction on Industrial Electronics, IEEE Transactions on Aerospace and Electronic Systems, Asian Journal of Control
Awards and Honors
- 2018: Faculty Research Excellence Award, Florida Poly
- 2014-2015: The Most Innovative Product, ITEXPO
- 2014: Dean’s Scholarship Award, Florida International
- Abbaspour, K. Yen, P. Forouzannezhad, A. Sargolzaei, “A Neural Adaptive Approach for Active Fault-tolerant Control Design in UAV”, IEEE Transactions on Systems, Man, and Cybernetics: Systems, Volume 99, pp. 1-11, 2018.
- Moghadasi, A. Sargolzaei, A. Anzalchi, M. Moghaddami, A. Khalilnejad and A. Sarwat, “A Model Predictive Power Control Approach for a Three-Phase Single-Stage Grid-Tied PV Module-Integrated Converter, ” IEEE Transactions on Industry Applications, 54, no. 2, pp. 1823-183, 2018.
- Sargolzaei, A., Yen, K., and Abdelghani, M.N., “Preventing Time-Delay Switch Attack on Load Frequency Control in Distributed Power Grid”, IEEE Transaction on Smart Grid, 7, No. 2, pp. 1176-1185, 2015.
- Abbaspour, A., Aboutalebi, P., Yen, K., and Sargolzaei, A. “Neural adaptive observer-based sensor and actuator fault detection in nonlinear systems: Application in UAV.” ISA Transactions, 67, pp. 317-329, 2017.
- Aboutalebi, A. Abbaspour, P. Forouzannezhad, A. Sargolzaei, “A Novel Sensor Fault Detection in an Unmanned Quadrotor Based on Adaptive Neural Observer”, Journal of intelligent & robotic systems, vol. 90, no. 3-4, pp. 473-484, 2017.
- A Gholami, T Shekari, MH Amirioun, F Aminifar, MH Amini, A Sargozalei, “Toward a Consensus on the Definition and Taxonomy of Power System Resilience”, IEEE Access, 6, pp. 32035-32053, 2018.
- Sargolzaei, A. Abbaspour, M. Faruque, A. Salah Eddin, K. yen, “Security Challenges of Networked Control Systems“, In Sustainable Interdependent Networks, 77-95. Springer, Cham, 2018.
- Sargolzaei, A., Yen, K., Abdelghani, M., Sargolzaei, S., Carbunar, B., “Resilient Design of Networked Control Systems Under Time Delay Switch Attacks, Application in Smart Grid”, IEEE Access, 5, pp 15901-15912, 2017.
- Sargolzaei, A., Abdelghani, M., Yen, K., and Sargolzaei, S., “Sensorimotor control: computing the immediate future from the delayed present.” BMC bioinformatics, 17, no. 7, pp. 501-509, 2016.
- Sargolzaei, A. Sargolzaei, M. Cabrerizo, G. Chen, M. Goryawala, A. Pinzon-Ardila, S. M. Gonzalez-Arias, M. Adjouadi, “Estimating Intracranial Volume in Brain Research: An Evaluation of Methods”, Neuroinformatics journal, Springer, vol. 13, no. 4, pp. 427-441, 2015.
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