Building Secure and Trustworthy Autonomous Systems
Explore security and trust issues in autonomous systems including robots and vehicles. Develop resilient cyber-physical systems using advanced AI and privacy techniques. Address real-world challenges in infrastructure protection and autonomous system safety.
AI-generated overview
Project Description
Project Overview
This research project aims to develop secure, resilient, and trustworthy autonomous cyber-physical systems. It includes focus areas such as autonomous driving, humanoid robots, and embodied AI/physical AI systems integrated into critical infrastructure. The project addresses key challenges in the interaction between cyber and physical components to improve overall system safety and reliability.
What You Will Do
Students will engage in research related to security and privacy, artificial intelligence, cyber-physical systems, embodied AI, and critical infrastructure. The work will involve designing, modeling, and testing approaches that enhance security and trustworthiness in autonomous systems, with implementations potentially advancing autonomous driving technologies and robotic systems.
Expected Outcomes
The project expects to deliver novel methodologies and tools for improving the security and robustness of embodied AI systems and cyber-physical infrastructures. Outcomes include secure autonomous platforms resistant to cyber threats, advancements in privacy-preserving AI, and contributions toward safer deployment of autonomous technologies.
Why This Matters
As autonomous systems penetrate critical sectors of society, ensuring their security and dependability becomes paramount. This research will help prevent security breaches, protect privacy, and secure infrastructures critical to social and economic well-being, enabling safer adoption of autonomous technologies globally.
Entry Requirements
How to Apply
Eligibility
Supervisor Profile
Dr. Hasan Shahriar earned his PhD in Computer Science from Virginia Tech in Spring 2026 and will start as Assistant Professor at the University of Arkansas in Fall 2026. His research interests lie in optimization modeling and additive manufacturing, with a focus on improving mechanical properties through advanced methodologies such as the Grey-Taguchi approach. He is an emerging scholar in cyber-physical systems and autonomous system security.