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Rising Star Symposium on Cyber-Physical Systems Security, Resilience, and Privacy

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artificial intelligence cryptography and security game theory multiagent systems systems and control optimization and control

Audience:	Researchers in the topic
Seminar series times:	No fixed schedule
Organizers:	TAO LI, Helena Calatrava
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Upcoming talks

Past talks

Your time			Speaker	Title
Wed	Oct 14	14:00	Baoshan Song	Towards Certifiable Metric State Estimation for Autonomous Robots
Wed	Oct 28	14:00	Sandeep Banik	Shared Autonomy: From Robots to AI agents
Wed	Nov 11	15:00	Chandrika Mukherjee	Securing the Immersive Web: From UI Attacks to Runtime Defenses

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Your time			Speaker	Title
Wed	Sep 30	14:00	Ananya Trivedi	Targeted Acceleration Strategies for Real-Time Uncertainty-Aware Motion Planning
Wed	Sep 16	14:00	Chih-Yuan Chiu	Trustworthy Algorithms for Sustainable Future Mobility
Wed	Sep 02	14:00	Miguel Gomez-Lopez	Resilient GNSS in Challenging and Contested Environments
Tue	Mar 31	14:00	Abbas Yazdinejad	Toward Human-Aware Autonomous Cyber Defense: Cognitive–Physiological Intelligence for Adaptive Security Operations
Tue	Mar 17	13:00	Helena Calatrava	Statistical Signal Processing for Resilient Positioning and Tracking
Tue	Mar 03	16:00	Krishna Muvva	Learn to Fly: Enabling Deep Learning based Perception & Control in Aerial Robotics
Tue	Feb 17	14:00	Kushal Chakrabarti	Who Owns the Model? Protecting Model Confidentiality in Federated Learning Against Eavesdroppers
Tue	Feb 03	14:00	Joowon Lee	Design of Controllers Having Integer Coefficients for Encrypted Control
Tue	Jan 13	14:00	Hanjiang Hu	Verified Safety with Neural Barrier Functions: From Dynamical Systems to Language Models
Wed	Dec 17	14:00	Peng Wu	Bayesian Data Fusion for Distributed Learning
Tue	Nov 25	14:00	Ya-Ting Yang	Cross-Layered Design for Security and Resilience in AI-Driven Cyber Physical Human Systems
Fri	Nov 21	14:00	Sibasis Padhi	Agentic AI for Secure and Resilient FinTech Microservices: An Industry Perspective
Mon	Nov 10	14:00	Armita KazemiNajafabadi	Adversarial Strategies Against Multi-Agent AI Defenses in Cyber-Physical Networks

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