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DTSTART;TZID=America/Los_Angeles:20261109T104000
DTEND;TZID=America/Los_Angeles:20261109T114500
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SUMMARY:ECE 290 Seminar: "Enhancing Spectrum Utilization Through Measurement Science"
DESCRIPTION:Presented by: Adam Wunderlich\, Group Leader of Applied Systems Metrology @ NIST \nDescription: As modern wireless networks crowd into shared and congested radio frequency (RF) bands\, traditional spectrum engineering faces escalating challenges with coexistence and interference mitigation. Measurement science plays a key role in advancing technologies and shaping policies that ensure the spectrum is used effectively.  This talk will provide an overview of these challenges and present selected examples of research from NIST characterizing commercial off-the-shelf (COTS)\,  “closed-box” RF communication systems operating in complex spectrum environments. \nBio: Adam Wunderlich leads the Applied Systems Metrology Group in the Communications Technology Laboratory at the National Institute of Standards and Technology (NIST) in Boulder\, Colorado. Since joining NIST in 2015\, his research has combined applied statistics\, signal processing\, and machine learning to advance radio spectrum measurements and electromagnetic interference testing. Dr. Wunderlich has received the NIST Allen V. Astin Measurement Science Award\, as well as multiple Department of Commerce medals\, including the Gold Medal in 2017 and Bronze Medals in 2020 and 2022. \nHosted by: Professor Zhicong Yu & Professor Hamid Sadjadpour\, Electrical & Computer Engineering Department \nWhen: Monday\, November 9th from 10:40 to 11:45 AM PST \nLocation: Classroom E2-194
URL:https://events.ucsc.edu/event/ece-290-seminar-enhancing-spectrum-utilization-through-measurement-science/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
CATEGORIES:Seminars
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DTSTART;TZID=America/Los_Angeles:20261116T104000
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SUMMARY:ECE 290 Seminar: "From Stochastic Planning to Safe and Resilient Autonomy: Learning and Control for Robotic Systems"
DESCRIPTION:Presented by: Francesco Trotti\, Marie Skłodowska-Curie Postdoctoral Fellow @ University of Bologna\, Italy \nDescription: “Developing autonomous robotic systems capable of operating reliably in uncertain and dynamic environments requires the integration of planning\, learning\, and control while addressing fundamental challenges related to safety\, robustness\, and computational efficiency. This talk will present a research journey from stochastic optimal control and online decision-making to safety-critical learning and real-time robotic autonomy. First\, I will discuss model-based planning methodologies based on Markov Decision Processes and Monte Carlo Tree Search\, with applications to autonomous aircraft guidance\, constrained optimal control\, and decision-making under uncertainty. Building on these foundations\, I will introduce recent advances in safe reinforcement learning\, focusing on the integration of Control Barrier Functions with learning-based policies to improve safety and reduce unnecessary interventions. I will then address computational challenges in predictive safety and collision avoidance\, highlighting approaches aimed at enabling efficient real-time operation. \nFinally\, I will introduce NEMORE\, a Marie Skłodowska-Curie Postdoctoral Fellowship project investigating energy-aware and morphologically adaptive aerial systems. By integrating hybrid multi-mode control\, regenerative actuation\, and wind-adaptive autonomy\, NEMORE aims to advance resilient and energy-efficient flight. The talk will conclude by discussing open research questions at the intersection of hybrid systems\, optimization\, learning\, and control\, toward autonomous aerial robots capable of adapting safely and efficiently to changing operating conditions.” \nBio: Francesco Trotti is a Marie Skłodowska-Curie Postdoctoral Fellow at the University of Bologna\, Italy\, currently conducting the outgoing phase of his fellowship at the University of California\, Santa Cruz\, under the supervision of Prof. Ricardo Sanfelice.\nHe received his Ph.D. in Computer Science from the University of Verona\, Italy\, in 2025\, under the supervision of Profs. Riccardo Muradore and Alessandro Farinelli. During his doctoral studies\, he was a visiting researcher at The Ohio State University\, where he worked with Prof. Andrea Serrani on adaptive control. \nHis research interests include stochastic optimal control\, autonomous planning\, reinforcement learning\, safety-critical control\, and robotic systems. His current MSCA project\, NEMORE\, investigates hybrid control\, energy-aware actuation\, and adaptive autonomy for resilient aerial vehicles. \n  \nHosted by: Professor Zhicong Yu & Professor Ricardo Sanfelice\, Electrical & Computer Engineering Department \nWhen: Monday\, November 16th from 10:40 to 11:45 AM PST \nLocation: Classroom E2-194
URL:https://events.ucsc.edu/event/ece-290-seminar-from-stochastic-planning-to-safe-and-resilient-autonomy-learning-and-control-for-robotic-systems/
LOCATION:Engineering 2\, Engineering 2 1156 High Street\, Santa Cruz\, CA\, 95064
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