Hasan Shahriar

Incoming Assistant Professor, EECS @ University of Arkansas | Building Secure & Trustworthy Autonomous Systems

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VTech Research Center

900 N Glebe Road

Arlington, VA 22204

hshahriar@vt.edu

I completed my Ph.D. in Computer Science at Virginia Tech, where I worked in the Complex Network and Security Research (CNSR) Lab under the supervision of Dr. Wenjing Lou. My research bridges cyber-physical systems (CPS), artificial intelligence (AI), and cybersecurity, driven by a vision for securing the next generation of Embodied AI.

Research Interests

  • Trustworthy & Robust Artificial Intelligence
  • Cyber-Physical Systems (CPS) Security & Resilience
  • Autonomous & Embodied Systems Security
  • Critical Infrastructure & Energy Systems Security

Education

  • Ph.D. in Computer Science, Virginia Tech (2026)
  • M.S. in Computer Engineering, Florida International University (2020)
  • B.Sc. in Electrical and Electronic Engineering, Bangladesh University of Engineering and Technology (2016)

News [See More]

Apr 24, 2026 🎤 Presented AION at ICLR 2026 in Rio, Brazil.
Apr 09, 2026 🎓 Completed Ph.D. in Computer Science at Virginia Tech. Dissertation title: '’Toward Trustworthy Autonomous Cyber-Physical Systems: Robust Machine Learning for Secure Sensing, Perception, and Control.’‘
Mar 25, 2026 🎤 Presented DejaVu at IEEE SaTML 2026 in Munich, Germany.
Mar 09, 2026 🎉 Paper accepted: “Noise, Why Can’t You Bend? Detecting Adversarial Perturbations in Wireless Sensing via Structural Fragility” at ACM AsiaCCS 2026.
Jan 26, 2026 🎉 Paper accepted: “HotWire: Real-World Impersonation and Discharge Attacks on Electric Vehicle Charging Systems” at USENIX WOOT 2026!

Selected Publications [See More]

2026

  1. SaTML 26
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    Temporal Misalignment Attacks against Multimodal Perception in Autonomous Driving
    Md Hasan Shahriar, Md Mohaimin Al Barat, Harshavardhan Sundar, and 4 more authors
    In IEEE Conference on Secure and Trustworthy Machine Learning (SaTML), 2026
    Accepted
    arXiv PDF
  2. ICLR 26
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    Detecting Temporal Misalignment Attacks in Multimodal Fusion for Autonomous Driving
    Md Hasan Shahriar, Md Mohaimin Al Barat, Harshavardhan Sundar, and 4 more authors
    In Proceedings of The International Conference on Learning Representations (ICLR), 2026
    Accepted
    PDF
  3. WOOT 26
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    HotWire: Real-World Impersonation and Discharge Attacks on Electric Vehicle Charging Systems
    Kuan Yu Chen, Md Hasan Shahriar, Wen Wei Li, and 2 more authors
    In USENIX WOOT Conference on Offensive Technologies (WOOT), 2026
    Accepted
  4. AsiaCCS 26
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    Noise, Why Can’t You Bend? Detecting Adversarial Perturbations in Wireless Sensing via Structural Fragility
    Md Hasan Shahriar, Ning Wang, Amit Kumar Sikder, and 3 more authors
    In Proceedings of the 21st ACM ASIA Conference on Computer and Communications Security (AsiaCCS), 2026
    Accepted

2025

  1. ACM TCPS 25
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    Vehigan: generative adversarial networks for adversarially robust v2x misbehavior detection systems
    Md Hasan Shahriar, Mohammad Raashid Ansari, Jean-Philippe Monteuuis, and 5 more authors
    ACM Transactions on Cyber-Physical Systems, 2025
    PDF Code
  2. ESORICS 25
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    Let the Noise Speak: Harnessing Noise for a Unified Defense Against Adversarial and Backdoor Attacks
    Md Hasan Shahriar, Ning Wang, Naren Ramakrishnan, and 2 more authors
    In European Symposium on Research in Computer Security, 2025
    arXiv PDF Code

2023

  1. IEEE IoT-J 23
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    CANShield: deep-learning-based intrusion detection framework for controller area networks at the signal level
    Md Hasan Shahriar, Yang Xiao, Pablo Moriano, and 2 more authors
    IEEE Internet of Things Journal, 2023
    arXiv PDF Code