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Agentic AI Frontier Seminar

A seminar series on Agentic AI: models, tools, memory, multi-agent systems, online learning, and safety, featuring leading researchers and industry experts.

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Incoming Seminar

Online · 2026-09-23 · 08:00–09:00 PT

Talk Title: Security of Engineered Systems—Engineering Resilient Interdependent Infrastructures

Associate Professor · Saman Zonouz · Georgia Tech

Critical cyber-physical infrastructures, such as the power grid, transportation, and manufacturing, integrate networks of computational and physical processes to provide people across the globe with essential functionalities and services. Protecting these critical infrastructures’ security against adversarial parties is a vital necessity because the failure of these systems would have a debilitating impact on economic security, public health, and safety. Our research aims at the provision of real-world solutions to facilitate the secure and reliable operation of next-generation critical infrastructures. This requires interdisciplinary research efforts across adaptive systems and network security, cyber-physical systems, and trustworthy real-time detection and response mechanisms. In this talk, I will focus on real past and potential future threats against critical infrastructures and embedded controllers, and discuss the challenges in the design, implementation, and analysis of security solutions to protect cyber-physical platforms. I will introduce novel classes of working systems that we have developed to overcome these challenges. In particular, I will present our solutions for security verification, monitoring, and response capabilities in cyber-physical controllers for safe power grid, transportation, and manufacturing operations.

Bio: Saman Zonouz is an Associate Professor at Georgia Tech in the Schools of Cybersecurity and Privacy (SCP) and Electrical and Computer Engineering (ECE). Saman directs the Georgia Tech Online Cyber-Physical Security Master’s Program, and the Cyber-Physical Security Research Laboratory (CPSec), which recently hosted a U.S. Congressional visit to demonstrate its research outcomes. His research, funded by >$185M sponsored projects, focuses on security and resilience research problems in cyber-physical systems. Saman was recently invited to the U.S. National Academies to share insights on OT security and delivered the Plenary Keynote in DOE’s Cybersecurity Conference to a large audience (~2,000 people). His research has been awarded by United States Presidential Early Career Awards for Scientists and Engineers (PECASE) by the White House, the NSF CAREER Award in Cyber-Physical Systems (CPS), Significant Research in Cyber Security by the National Security Agency (NSA), Faculty Fellowship Award by the Air Force Office of Scientific Research (AFOSR), Google Hall of Fame Security Award, Provost Research Award, Outstanding Faculty Research Award by the Georgia Tech, and the Early Career Academic Achievement Alumni Award by the University of Illinois (UIUC). His research group has disclosed numerous zero-day security vulnerabilities with published CVEs in widely used critical infrastructure controllers from Siemens, Allen-Bradley, and Wago. Saman is currently a Co-PI on President Biden’s American Rescue Plan $65M Georgia AI Manufacturing (GA-AIM) project, and was invited to co-chair the NSF CPS PI Meeting, the NSF CPS Next Big Challenges Workshop, and CPS Resilience Workshop in 2025. Saman has received Georgia Tech Teaching Awards for his courses “Cybersecurity of Drones” and “Critical Infrastructure Security and Resilience”. Saman has served as the chair and/or program committee member for several conferences (e.g., IEEE S&P, USENIX Security, CCS, NDSS, DSN, and ICCPS) – he is the General Co-Chair for ACM CCS 2027. Saman obtained his Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign.

Organizing Committee

Photo of Ming Jin

Ming Jin

Virginia Tech

He is an assistant professor in the Bradley Department of Electrical and Computer Engineering at Virginia Tech. He works on trustworthy AI, safe reinforcement learning, foundation models, with applications for cybersecurity, power systems, recommender systems, and CPS.

Photo of Shangding Gu

Shangding Gu

Shanghai Jiao Tong University

He is an associate professor in the School of Computer Science at Shanghai Jiao Tong University. His research focuses on reinforcement learning, planning, and AI safety, with applications in foundation models (e.g., large language models and multimodal models), robotics, and semiconductor manufacturing.

Photo of Yali Du

Yali Du

KCL

She is an associate professor in AI at King’s College London. She works on reinforcement learning and multi-agent cooperation, with topics such as generalization, zero-shot coordination, evaluation of human and AI players, and social agency (e.g., human-involved learning, safety, and ethics).

Photo of Lifu Huang

Lifu Huang

UC Davis

He is an Associate Professor in the Computer Science Department at UC Davis. His research centers on Natural Language Processing, Machine Learning, and Artificial Intelligence. His current research focuses on vision-language models, agentic AI, and the robustness of RL-based post-tuning.

Photo of Chenguang Wang

Chenguang Wang

UC Santa Cruz

He is an assistant professor in the Department of Computer Science and Engineering at UC Santa Cruz, and a research advisor at Scale AI. His research focuses on natural language processing, machine learning, and security, including AI agents, foundation model evaluation, and the safety and security of large language systems.