Bio:
Mohammad Al Faruque is currently a full professor at the University of California, Irvine (UCI), where he directs the Cyber-Physical Systems Lab and the Samueli School of Engineering Autonomous Systems Initiatives.
Dr. Al Faruque has received several prestigious awards, including the School of Engineering Mid-Career Faculty Award for Research (2019), the IEEE Technical Committee on Cyber-Physical Systems Early-Career Award (2018), and the IEEE CEDA Ernest S. Kuh Early Career Award (2016). He also received the UCI Academic Senate Distinguished Early-Career Faculty Award for Research and the School of Engineering Early-Career Faculty Award for Research in 2017. From October 2012 to July 2015, he held the Emulex Career Development Chair. Prior to joining UCI, he was with Siemens Corporate Research and Technology in Princeton, NJ.
He earned his B.Sc. in Computer Science and Engineering from the Bangladesh University of Engineering and Technology (BUET) in 2002, followed by M.Sc. and Ph.D. degrees in Computer Science from RWTH Aachen and Karlsruhe Institute of Technology (KIT), Germany, in 2004 and 2009, respectively.
Dr. Al Faruque has received four Best Paper Awards (ACSAC, DAC, DATE, and ICCAD), along with multiple Best Paper Award nominations from leading conferences in embedded and cyber-physical systems. He has authored over 175 IEEE/ACM publications, holds 12 U.S. patents, and received the Thomas Alva Edison Patent Award for one of his inventions. He is also the author of two books on Embedded and Cyber-Physical Systems.
His significant service to the ACM community includes roles such as Program Co-Chair for ICCPS 2021 and NSysS 2021, General Co-Chair for ICCPS 2022, Program Chair for CODES+ISSS in 2022 and 2023, and General Chair for CPS-IoT Week 2025.
Dr. Al Faruque is an associate editor for ACM Transactions on Design Automation of Electronic Systems (TODAES), IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems (TCAD), and IEEE Design & Test. He is a senior member of the ACM.
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Cyber-Physical Vulnerabilities in Autonomous Systems
Cyber-physical systems (CPS) are in every security-sensitive autonomous system, such as aerospace, automotive, UAVs, robotics, energy, healthcare, manufacturing, transportation, and consumer...
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