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Student and Postdoctoral Fellow Poster and Paper Presentations

• Federico Zegers, Ph.D., A Switched Systems Approach to Multi-Agent Consensus: A Relay-Explorer Perspective.
• Washington Garcia, Ph. D. Candidate, University of Florida, Brittle Features of Device Authentication, (related paper) ACM Conference on Data and Application Security and Privacy, 2021.
• Axton Isaly, Ph. D. Candidate, University of Florida, Adaptive Safety With Multiple Barrier Functions Using Integral Concurrent Learning, (related paper) American Control Conference, 2021.
• Federico Zegers, Ph. D. Candidate, University of Florida, Consensus over Clustered Networks with Asynchronous Inter-Cluster Communication, (related paper) American Control Conference, 2021.
• Max Greene, Ph. D. Candidate, University of Florida, Cooperative Model-Based Reinforcement Learning for Approximate Optimal Tracking, (related paper) American Control Conference, 2021.
• Mustafa Carabag, Ph. D. Candidate, The University of Texas at Austin, Deception in Supervisory Control, 2021.
• Yagiz Savas, Ph. D. Candidate, The University of Texas at Austin, Safe Autonomous Planning While Protecting Critical Information, SIAM Conference on Control and Its Applications (CT21), 2021.
• Steven Carr, Ph. D. Candidate, The University of Texas at Austin, Quantifying Faulty Assumptions in Heterogeneous Multi-Agent Systems Using Formal Verification, 2021.
• Steven Carr, Ph. D. Candidate, The University of Texas at Austin, Decentralized Classification with Assume-Guarantee Planning, IEEE International Conference on Intelligent Robots and Systems, 2021.
• Max Greene, Ph. D. Candidate, University of Florida, Model-based Reinforcement Learning for Optimal Feedback Control of Switched Systems, IEEE Conference on Decision and Control, 2020.
• Daniel Le, Ph. D. Candidate, University of Florida, Single-Agent Indirect Herding of Multiple Targets using Metric Temporal Logic Switching, IEEE Conference on Decision and Control, 2020.
• Runhan Sun, Ph. D. Candidate, University of Florida, Relay Explorer Approach for Multi-Agent Exploration of an Unknown Environment with intermittent Communication, IEEE Conference on Decision and Control, 2020.
• Christian Harris, M.S. Student, University of Florida, Target Tracking in the Presence of Intermittent Measurements by a Network of Mobile Cameras, (related paper) IEEE Conference on Decision and Control, 2020.
• Calvin Hawkins, Ph. D. Candidate, University of Florida, Differentially private formation control, (related paper) IEEE Conference on Decision and Control, 2020.
• Katherine Hendrickson , Ph. D. Candidate, University of Florida, Towards Totally Asynchronous Primal-Dual Optimization in Blocks, (related paper) IEEE Conference on Decision and Control, 2020.
• Mohamed Adlene Maghenem, Postdoctoral Scholar, University of California, Santa Cruz, Local Lipschitzness of Reachability Maps for Hybrid Systems with Applications to Safety, (related paper) 2020.
• Hyejin Han, Ph. D. Candidate, University of California, Santa Cruz, Sufficient conditions for satisfaction of formulas with until operators in hybrid systems, (related paper) 2020.
• Mohamed Adlene Maghenem, Postdoctoral Scholar, University of California, Santa Cruz, Regularity Properties of Reachability Maps for Hybrid Dynamical Systems with Applications to Safety, (related paper) American Control Conference, 2020.
• Mohamed Adlene Maghenem, Postdoctoral Scholar, University of California, Santa Cruz, Lipschitzness of Minimal-Time Functions in Constrained Continuous-Time Systems with Applications to Reachability Analysis, (related paper) American Control Conference, 2020.
• Berk Altın, Postdoctoral Scholar, University of California, Santa Cruz, Model Predictive Control for Hybrid Dynamical Systems: Sufficient Conditions for Asymptotic Stability with Persistent Flows or Jumps, (related paper) American Control Conference, 2020.
• Haoyue Gao, M.S. Student, University of California, Santa Cruz, Hybrid Predictive Control for Tracking in a Single-Phase DC/AC Inverter with an Unknown Load, (related paper) American Control Conference, 2020.
• Marcello Guarro, Ph. D. Candidate, University of California, Santa Cruz, HyNTP: An Adaptive Hybrid Network Time Protocol for Clock Synchronization in Heterogeneous Distributed Systems, 2020.
• Marcello Guarro, Ph. D. Candidate, University of California, Santa Cruz, An Adaptive Hybrid Control Algorithm for Sender-Receiver Clock Synchronization, (related paper) American Control Conference, 2020.
• Alessandro Melis, Ph. D. Candidate, University of Bologna A Hybrid Control Algorithm for Gradient-Free Optimization Using Conjugate Directions, 2020.
• Maude Blondin, Postdoctoral Fellow, University of Florida, An Algorithm for Multi-Objective Multi-Agent Optimization, (related paper) 2020.
• Kasra Yazdani, Ph. D. Candidate, University of Florida, Error Bounds and Guidelines for Privacy Calibration in Differentially Private Kalman Filtering, (related paper) 2020.
• Chris Harris, M.S. student, University of Florida, Target Tracking in the Presence of Intermittent Measurements by a Sparsely Distributed Network of Stationary Cameras, (related paper) American Control Conference, 2020.
• Federico Zegers, Ph. D. Candidate, University of Florida, Reputation-Based Event-Triggered Formation Control and Leader Tracking with Resilience to Byzantine Adversaries, (related paper) American Control Conference, 2020.
• Runhan Sun, Ph. D. Candidate, University of Florida, A Switched Systems Approach to Unknown Environment Exploration with Intermittent State Feedback for Nonholonomic Systems, (related paper) American Control Conference, 2020.
• Parham Gohari, Ph. D. Candidate, The University of Texas at Austin, The Dirichlet Mechanism for Differential Privacy on The Unit Simplex, (related paper) 2020.
• Bo Wu, Postdoctoral Fellow, The University of Texas at Austin, Resilient Distributed Hypothesis Testing With Time-Varying Network Topology, (related paper) 2020.
• Zhe Xu, Postdoctoral Fellow, The University of Texas at Austin, Differentially Private Controller Synthesis With Metric Temporal Logic Specifications, (related paper) 2020.
• Duc (Daniel) Le, Ph. D. Candidate, University of Florida, Path Following with Stable and Unstable Modes Subject to Time-Varying Dwell-Time Conditions, IFAC World Congress, 2020.
• Max Greene, Ph. D. Candidate, University of Florida, Sparse Learning-Based Approximate Dynamic Programming with Barrier Constraints, (related paper) IEEE Control Systems Letters, 2020.