Tag: Ruchkin

Ivan Ruchkin, PhD, and José Príncipe, PhD, are collaborating on an NSF-funded project aiming to create an end-to-end methodology to model, analyze, quantify, detect, and adapt to changes in the visual environment of an autonomous cyber-physical system.

“Formal Methods for Safe and Interpretable Control”Thursday, Nov 6 at 1:00pmMALA 5050Add to Calendar Abstract In control theory, complicated dynamics such as systems of (nonlinear) differential equations are mostly controlled to achieve stability and to optimize a cost. In formal methods, simple systems such as finite state transition graphs modeling computer programs or digital circuits […]

Ufuk Topcu, PhD, is a professor in the Department of Aerospace Engineering at The University of Texas at Austin, where he holds the Judson S. Swearingen Regents Chair in Engineering. He presents “Control-Oriented Learning for Same-Day Autonomy” Thursday, Oct. 2 at 1:00pm in
MALA 7200.

ECE’s early-career faculty members have had an unprecedented string of successes in the past academic year. No fewer than six early-career faculty members have earned young faculty awards during 2025.

Ivan Ruchkin, Ph.D., is not satisfied with how state-of-the-art cyber-physical systems deal with anomalies. A project recently funded by the National Science Foundation aims to fill in the gaps in current methodologies.

Ivan Ruchkin, Ph.D., builds worlds. His recent work, mostly along two major themes, concerns the way autonomous agents perceive the world and, indeed, the way in which the agents’ worlds are constructed.

Ivan Ruchkin, Ph.D., has received funding from the NSF in support of his CAREER project “Rigorous Assumption Engineering for Learning-Enabled Cyber-Physical Systems.”

Dr. Sayan Mitra is a professor and associate head of graduate affairs in ECE and he directs the Reliable Autonomy research group at the University of Illinois. He presents “Control with Coarse Measurements: Perception Contracts and Indistinguishable Sets” Monday, Oct. 28 at 2:00pm in MALA 7200.

Dr. Pooyan Jamshidi is an assistant professor in the University of South Carolina’s Department of Computer Science and Engineering. He presents “Reconciling Accuracy, Cost, and Latency of Inference Serving Systems” Monday, Sept. 16 at 11am in MALA 5050.

ECE Assistant Professor Ivan Ruchkin has received funding from NSF for his project “Neuro-Symbolic Bridge: From Perception to Estimation & Control.” The project aims to enhance the robustness of cyber physical systems (CPS).