Georgios Fainekos (aka Dr. Φ) is a Senior Principal Scientist at Toyota Motor North America R&D (within TRINA). He received his Ph.D. in Computer and Information Science from the University of Pennsylvania in 2008 where he was affiliated with the GRASP laboratory. He holds a Diploma degree (B.Sc. & M.Sc.) in Mechanical Engineering from the National Technical University of Athens (NTUA). Until 2022, he was a tenured faculty (Associate Professor) of Computer Science and Computer Engineering at the School of Computing and Augmented Intelligence (SCAI) at Arizona State University (ASU), where he led and worked on NSF, DARPA, AFRL, and industry funded projects (e.g., Intel, Toyota, Bosch). Among other professional roles, he has been a Postdoctoral Researcher at NEC Laboratories America in the System Analysis & Verification Group. He is currently working on Cyber-Physical Systems (CPS) and robotics with a focus on Automated Driving Systems (ADS). His technical expertise is on applied logic, formal verification & requirements, testing, control theory, artificial intelligence, and optimization. In 2013, Dr. Fainekos received the NSF CAREER award and the ASU SCIDSE Best Researcher Junior Faculty Award. He has also been recognized with the top 5% teacher award in 2019 and 2021. His research has received several awards and nominations (e.g., IEEE CASE 2021, IEEE ITSC 2019, ACM HSCC 2019, IEEE/ACM MEMOCODE 2019), and the 2008 Frank Anger Memorial ACM SIGBED/SIGSOFT Student Award. In 2016, Dr. Fainekos was the program co-Chair for the ACM International Conference on Hybrid Systems: Computation and Control (HSCC).
Professional: firstname . lastname at toyota.com
Requests for reviews, letters, etc: lastname at ieee.org
some recent selected publications
Timed Partial Order Inference Algorithm, ICAPS 2023
For more see [Google Scholar page]
some software tools
S-TaLiRo: A Matlab toolbox for falsification, specification mining, monitoring, and conformance testing of Cyber-Physical Systems.
PSY-TaLiRo: A Python toolbox for falsification and verification with probabilistic guarantees of Cyber-Physical Systems.
STREM: Spatio-Temporal Regular Expression Matcher for perception data-streams (online and offline).