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Mohammad Al Faruque

Mohammad Al Faruque

Conexant-Broadcom Endowed Chair Professor, Department of Electrical Engineering and Computer Science (EECS)

Director, Center for Resilient Autonomous Systems

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Biography

Mohammad Al Faruque, Ph.D., is Conexant-Broadcom Endowed Chair Professor and Director of the Center for Resilient Autonomous Systems in the Department of Electrical Engineering and Computer Science at the University of California, Irvine. He holds courtesy appointments in the Department of Computer Science and the Department of Mechanical and Aerospace Engineering. Al Faruque received his Ph.D. in Computer Science (magna cum laude) from Karlsruhe Institute of Technology, Germany, where he focused on runtime adaptive system-on-chip communication architecture. Before joining UCI in 2012, he worked as a Research Scientist at Siemens Corporate Research in Princeton, New Jersey.

Al Faruque's research focuses on cross-layer security of embedded and cyber-physical systems, with applications in autonomous vehicles, manufacturing systems, and mobile health. He has received the IEEE CEDA Ernest S. Kuh Early Career Award and the IEEE Technical Committee on Cyber-Physical Systems Early-Career Award, both recognizing one individual worldwide annually. He is one of the few researchers to have received best paper awards at all three top computer-aided design conferences: ICCAD (2009), DAC (2015), and DATE (2016). His work on electric vehicle charging infrastructure received the Thomas Alva Edison Patent Award in 2016.

Al Faruque is an ACM Distinguished Speaker and served as IEEE CEDA Distinguished Lecturer. He has served as Program Chair for CODES+ISSS (2022-2023) and General Chair for ICCPS (2022) and CPS-IoT Week (2025). He is Associate Editor for IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, IEEE Design & Test, and ACM Transactions on Design Automation on Electronics and Systems. Al Faruque co-founded FlexAI, a company based on technologies developed in his laboratory for edge computing and split computing. He has been Principal Investigator on projects funded by NSF, DARPA, the U.S. Army, the Air Force Research Laboratory, and industry partners including Siemens and Cisco.

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Education

  • PhD in Computer Science, Karlsruhe Institute of Technology (KIT), 2009
  • MSc in Computer Science and Engineering, Aachen Technical University, 2004
  • BSc in Computer Science and Engineering, Bangladesh University of Engineering and Technology, 2002
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Distinctions

  • ACM Distinguished Speaker, 2025
  • IEEE CEDA Distinguished Lecturer, 2022-2024
  • HiPEAC Paper Award, 2008, 2017, 2023
  • ACSAC Best Paper Award, 2022
  • VehicleSec Best Demo Award, 2025
  • IEEE/ACM CPS-IoT Week Service Award, 2025
  • Thomas Alva Edison Patent Award, Research & Development Council of New Jersey, 2016
  • DATE Best Paper Award, 2016
  • DAC Best Paper Award, 2015
  • NDSS Distinguished Poster Award, 2016
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Areas of Expertise

  • Cyber-Physical Systems Security
  • Hardware Trojan Detection
  • Autonomous Vehicle Perception
  • Edge Computing Neural Networks
  • Additive Manufacturing Vulnerabilities
  • Sensor Spoofing Mitigation
  • Graph Neural Network Applications

Recent Publications

  • L. Chen, Y. Gamal, Y. Li, S. Yu, I. Alouani, M. A. Al Faruque, “DART: Distribution-Aware Hardware Trojan Detection”, IEEE Transactions on Information Forensics and Security, 2025.
  • G-C. Alain, E-A. P. Jorge, M. A. Al Faruque, “A review of resilience enhancement techniques for cyber-physical systems”, IEEE Access, 2025.
  • T. Mortlock, L. Chen, J. Smereka, P. Khargonekar, M. A. Al Faruque, “Fuse it or Lose it? Analyzing the Effects of Sensor Diversity on Multimodal Ensembles for Autonomous Vehicle Perception”, IEEE Transactions on Intelligent Transportation Systems, 2025.
  • L. Chen, M. Odema, M. A. Al Faruque, “DisCovHAR: Contrastive Attention for Human Activity Recognition under Distribution Shifts”, IEEE Internet of Things Journal, 2025.
  • M. Fakih, R. Dharmaji, Y. Mahmoud, H. Bouzidi, M. A. Al Faruque, “Invisible Ears at Your Fingertips: Acoustic Eavesdropping via Mouse Sensors”, 2025. Presented at Annual Computer Security Applications Conference.
  • Y. Achamyeleh, Y. Xiang, Y-P. Hsiao, Y. Moghaddas, M. A. Al Faruque, “Environmental Rate Manipulation Attacks on Power Grid Security”, 2025. Presented at Annual Computer Security Applications Conference.
  • Y. Achamyeleh, T. Zhang, J. Kim G. Garcia, S-Y Yu, A. Kocheturov, M. A. Al Faruque, “AGNOMIN - Architecture Agnostic Multi-Label Function Name Prediction”, 2025. Presented at Annual Computer Security Applications Conference.
  • T. Mortlock, M. A. Al Faruque, “Adaptive Data Fusion for State Estimation and Control of Power Grids Under Attack”, IEEE Transactions on Industrial Informatics, 2024.
  • T. Mortlock, A. Malwade, K. Tsujio, M. A. Al Faruque, “CASTNet: A Context-Aware, Spatio-Temporal Dynamic Motion Prediction Ensemble for Autonomous Driving”, ACM Transactions on Cyber-Physical Systems, 2024.
  • A. Didouh, A. B. Lopez, H. Labiod, Y. E. Hillali, A. Rivenq, M. A. Al Faruque, “TileChain: A Blockchain-Based Framework for Security Service Management for Vehicular Communications”, IEEE Transactions on Vehicular Technology, 2024.
  • J. Wang, H. Xu, Y. Achamyeleh, S. Huang, M. A. Al Faruque, “HyperDetect: A Real-Time Hyperdimensional Solution for Intrusion Detection in IoT Networks”, IEEE Internet of Things Journal, 2024.
  • M. Taherisadr, M. A. Al Faruque, S. Elmalaki, “ERUDITE: Human-in-the-Loop IoT for an Adaptive Personalized Learning System”, IEEE Internet of Things Journal, 2024.
  • Y. Achamyeleh, M. Fakih, G. Garcia, A. Barua, M. A. Al Faruque, “A Fly on the Wall - Exploiting Acoustic Side-Channels in Differential Pressure Sensors”, 2024. Presented at Annual Computer Security Applications Conference (ACSAC'24).
  • M. Odema, L. Chen, H. Kwon, M. A. Al Faruque, “SCAR: Scheduling Multi-Model AI Workloads on Heterogeneous Multi-Chiplet Module Accelerators”, 2024. Presented at 57th IEEE/ACM International Symposium on Microarchitecture (MICRO'24).
  • R. Yasaei, A. Zargari, M. A. Al Faruque, Kurdahi, “Unraveling Sensor Correlations in Multi-Sensor Wearable Devices for Smart Anomaly Detection”, 2024. Presented at 2024 IEEE 17th Dallas Circuits and Systems Conference (DCAS'24).
  • E. Šlapak, M. Dopiriak, M. A. Al Faruque, J. Gazda, M. Levorato, “Distributed Radiance Fields for Edge Video Compression and Metaverse Integration in Autonomous Driving”, 2024. Presented at IEEE SMARTCOMP'24, Osaka, Japan.
  • J. Wang, M. A. Al Faruque, “SMORE: Similarity-Based Hyperdimensional Domain Adaptation for Multi-Sensor Time Series Classification”, 2024. Presented at 61st IEEE/ACM Design Automation Conference (DAC'24).
  • K. Tsujio, M. A. Al Faruque, Y. Shoukry, “Rampo: A CEGAR-based Integration of Binary Code Analysis and System Falsification for Cyber-Kinetic Vulnerability Detection”, 2024. Presented at ACM/IEEE International Conference on Cyber-Physical Systems (ICCPS'24), April 2024.
  • M. Fakih, R. Dharmaji, Y. Moghaddas, G. Quiros, T. Ogundare, M. A. Al Faruque, “LLM4PLC: Harnessing Large Language Models for Verifiable Programming of PLCs in Industrial Control Systems”, 2024. Presented at International Conference on Software Engineering - Software Engineering in Practice (ICSE SEIP'24).
  • R. Yasaei, Y. Moghaddas, M. A. Al Faruque, “IoT-GRAF: IoT Graph Learning-based Anomaly and Intrusion Detection through Multi-modal Data Fusion”, 2024. Presented at IEEE/ACM Design Automation and Test in Europe (DATE'24).
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Contact Information

Website: https://aicps.eng.uci.edu/

Email: alfaruqu@uci.edu

Phone: (949) 824-1909

Address: 3223 Engineering Hall, Irvine, CA 92697-2625

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This profile was created with the help of AI.

Last updated on 2/17/2026.