Contact
Office
(434) 924-6739
Location
Olsson, Room 259
Lab
Link Lab
P.O. Box 400336
Charlottesville, VA 22904

Homa Alemzadeh

Assistant Professor, Electrical and Computer Engineering Assistant Professor, Computer Science (by Courtesy)
Contact
Office
(434) 924-6739
Location
Olsson, Room 259
Lab
Link Lab
P.O. Box 400336
Charlottesville, VA 22904
Google Scholar Personal Website GitHub Link Lab

About

Homa Alemzadeh is an Assistant Professor in the Department of Electrical and Computer Engineering and Computer Science (by courtesy) at the University of Virginia. She is also affiliated with the UVA Link Lab, a multi-disciplinary center for research and education in Cyber-Physical Systems (CPS). Before joining UVA, she was a Research Staff Member at the IBM T. J. Watson Research Center. She received her Ph.D. in Electrical and Computer Engineering from the University of Illinois at Urbana-Champaign and her B.Sc. and M.Sc. in Computer Engineering from the University of Tehran. She is the recipient of the 2022 CAREER Award from the National Science Foundation and 2017 William C. Carter Ph.D. Dissertation Award in Dependability from the IEEE TC and IFIP Working Group 10.4 on Dependable Computing and Fault Tolerance. Her work on the analysis of safety incidents in robotic surgery was selected as the Maxwell Chamberlain Memorial Paper at the 50th annual meeting of the Society of Thoracic Surgeons (STS) and was featured by the MIT Technology Review, Wall Street Journal, and BBC, among others. 

Education

​B.S. Computer Engineering, University of Tehran, 2005

M.S. ​Computer Engineering, University of Tehran, ECE, 2008

Ph.D. ​Electrical and Computer Engineering, University of Illinois, ECE, 2016

My research focuses on developing techniques and tools for design and assessment of resilient cyber-physical systems (CPS), in particular reliability, safety, and security assurance of medical CPS, surgical robots, and autonomous systems.

Homa Alemzadeh Assistant Professor

Research Interests

Dependable and Secure Computing
Embedded and Cyber-physical Systems
Artificial Intelligence and Machine Learning
Smart and Connected Health

Selected Publications

“On the Safety of Machine Learning: Cyber-Physical Systems, Decision Sciences, and Data Products” Big Data Journal 5:3, 246–255, 2017. K.R. Varshney, H. Alemzadeh
“On Threat Modeling and Mitigation of Medical Cyber-Physical Systems,” Proc. Second IEEE International Workshop on Security, Privacy, and Trustworthiness in Medical Cyber-Physical Systems, IEEE CHASE, 2017. H. Almohri, L. Cheng, D. Yao, H. Alemzadeh
“Targeted Attacks on Teleoperated Surgical Robots: Dynamic Model-based Detection and Mitigation,” Proc. 46th IEEE/IFIP Int. Conf. on Dependable Systems and Networks (DSN), 2016. H. Alemzadeh, D. Chen, X. Li, T. Kesavadas, Z.T. Kalbarczyk, R.K. Iyer
“A Hardware-in-the-loop Simulator for Safety Training in Robotic Surgery,” Proc. IEEE/RSJ Int. Conf. on Intelligent Robots and Systems (IROS), 2016. X. Li, H. Alemzadeh, D. Chen, Z. Kalbarczyk, R.K. Iyer, T. Kesavadas
“Safety-critical Cyber-physical Attacks: Analysis, Detection, and Mitigation,” Proc. Symposium and Bootcamp on the Science of Security (HOTSOS), 2016. H. Lin, H. Alemzadeh, D. Chen, Z.T. Kalbarczyk, R. K. Iyer
“Adverse Events in Robotic Surgery: A Retrospective Study of 14 Years of FDA Data,” PLoS ONE, vol. 11, no. 4: e0151470, 2016. H. Alemzadeh, R. K. Iyer, Z.T. Kalbarczyk, N. Leveson, J. Raman
“Systems-theoretic Safety Assessment of Robotic Telesurgical Systems,”Proc. 34th Int. Conf. Computer Safety, Reliability, and Security(SAFECOMP), Sep. 2015. H. Alemzadeh, D. Chen, A. Lewis, Z. Kalbarczyk, J. Raman, N. Leveson, R.K. Iyer
“A Fault-Tolerant Hardware Architecture for Robust Wearable Heart Rate Monitoring,” Proc. 9th Int. Conf. Pervasive Computing Technologies for Healthcare (Pervasive Health’2015), May 2015. Q. Li, H. Alemzadeh, Z. Kalbarczyk, R.K. Iyer
“Analysis of Safety-Critical Computer Failures in Medical Devices,” IEEE Security & Privacy, vol. 11, no. 4, pp. 14-26, July-Aug. 2013. H. Alemzadeh, R.K. Iyer, Z. Kalbarczyk, J. Raman
“An Embedded Reconfigurable Architecture for Patient-Specific Multi-Parameter Medical Monitoring,” Proc. 33rd Annu. Int. IEEE EMBS Conf. (EMBC’11), Sep. 2011. H. Alemzadeh, Z. Jin, Z. Kalbarczyk, R.K. Iyer

Courses Taught

Dependable Computing Systems (ECE/CS 4434/6434 - SYS 4582/6582) Spring 2017–2022
Advanced Embedded Systems (ECE 4501/6501) Fall 2017–2021

Awards

NSF Faculty Early Career Development (CAREER) 2022
William C. Carter Dissertation Award in Dependability 2017
J. Maxwell Chamberlain Memorial Paper Award, Society of Thoracic Surgeons (STS) 2014