Yasser Shoukry received his Ph.D. in Electrical Engineering from the University of California, Los Angeles in 2015 where he was affiliated with both the Cyber-Physical Systems Lab (supervised by Prof. Paulo Tabuada) as well as the Networked and Embedded Systems Lab (supervised by Prof. Mani Srivastava). He received the M.Sc. and the B.Sc. degrees (with distinction and honors) in Computer and Systems engineering from Ain Shams University, Cairo, Egypt in 2010 and 2007, respectively.
Between September 2015 and July 2017, Yasser was a joint post-doctoral associate at UC Berkeley, UCLA, and UPenn under the mentorship of Prof. George J. Pappas, Prof. Sanjit A. Seshia, and Prof. Paulo Tabuada. Before pursuing his Ph.D. at UCLA, he spent four years as an R&D engineer in the industry of automotive embedded systems. Yasser's research interests include the design and implementation of resilient cyber-physical systems by drawing on tools from embedded systems, formal methods, control theory, and machine learning.
- B.Sc. '07, Computer and Systems Engineering, Ain Shams University, Cairo, Egypt
- M.Sc. '10, Computer and Systems Engineering, Ain Shams University, Cairo, Egypt
- Ph.D. '15, University of California, Los Angeles, CA
Honors and Awards:
- NSF CAREER Award, 2019
- Best Demo Award, International Conference on Information Processing in Sensor Networks (IPSN), 2017
- Best Paper Award, International Conference on Cyber-Physical Systems (ICCPS), 2016
- Distinguished Dissertation Award, UCLA EE Department, 2016
- Winner, NSF Early Career Investigators (NSF-ECI) research challenge, 2015
- UCLA Chancellors prize, 2011/2012
Yasser’s research interests include designing and implementing resilient cyber-physical systems by drawing on tools from embedded systems, formal methods, control theory, and machine learning.