2017 – 2018 Seminars

Spring 2018

Primal-Dual Algorithm for Distributed Reinforcement Learning: Distributed GTD2 – Donghwan Lee, Ph.D., University of Illinois – April 25, 2018

Hybrid Models Predict Emergent Dynmaics of Multiscale Cell Populations – Neda Bagheri, Ph.D., Northwestern University – April 11, 2018

Blending Vector Fields by Strong Coupling for Heterogeneous Multi-agent Systems and its Applications – Hyungbo Shim, Ph.D., Seoul National University, Korea – April 4, 2018

Economic Model Predictive Control for Closed-Loop Chemical Reactor Scheduling – James B. Rawlings, Ph.D., University of Wisconsin – March 28, 2018

A Control Learning Framework for Smart, Secure and Efficient Cyber-Physical Autonomy –  Kyriakos G. Vamvoudakis, Ph.D., Virginia Tech – March 14, 2018

Planning, Control and Perception for Agile Robot Navigation: Compression, Attention, and Anticipation – Sertac Karaman, Ph.D., Massachusetts Institute of Technology – March 7, 2018

The Science of Autonomy: A “Happy” Symbiosis Between Learning, Control and Physics – Evangelos A. Theodorou, Ph.D., Georgia Institute of Technology – February 7, 2018

Inverter-based Control for Low Inertia Power Systems:
Scale-free Stability Analysis, Performance Trade-offs, and Controller Design – Enrique Mallada, Ph.D., Johns Hopkins University – January 24, 2018

Fall 2017

Targeted Coordination of Dynamic Populations: Decoding and Engineering Dynamic Structures – Jr-Shin Li, Ph.D., Washington University – November 29, 2017

Generative Models for Multimodal Network Data – Aram Galstyan, Ph.D., Information Sciences Institute, University of Southern California – November 15, 2017

A Framework for Analysis and Design of Robust Networked Systems – Stacy Patterson, Ph.D., Rensselaer Polytechnic Institute – November 8, 2017

Control Synthesis for Large Collections of Dynamical Systems with Counting Constraints – Necmiye Ozay, Ph.D., University of Michigan, Ann Arbor – November 1, 2017

Small UAV Autonomy: Time-Coordinated Missions – Isaac Kaminer, Ph.D., Naval PostGraduate School – October 25, 2017

CSL Spotlight Lecture: Recent Developments in Compressed Sensing – Mathukumalli Vidyasagar, Ph.D., University of Texas at Dallas – October 18, 2017

Distributed Algorithms for Solving Large Linear Equations and Applications – Shaoshuai Mou, Ph.D., Purdue University – September 27, 2017

Game Theoretic Approaches to Coordination and Control for Cyber-Physical Systems – Wei Zhang, Ph.D., Ohio State University – September 20, 2017