Rebbecca Thien, The Australian National University
Physical realizability and coherent LQG control of linear quantum systems
Abstract
June 12, 2024, 10:30am; EEB 248 (note day/time change)

Host: Edmond Jonckheere

Mustafa Khammash, ETH Zurich
Theory and design of biomolecular control systems
Abstract
April 22, 2024, 2pm; EEB 132

Host: Mihailo Jovanovic

Gautam Goel, Simons Institute for the Theory of Computing
Two vignettes at the intersection of learning and control
Abstract
April 15, 2024, 2pm; EEB 132

Host: Stephen Tu

Aritra Mitra, North Carolina State University
Towards robust collaborative reinforcement learning
Abstract
April 8, 2024, 2pm; EEB 132

Host: Lars Lindemann

Prashant Mehta, University of Illinois Urbana-Champaign
Variational principles in control and the arrow of time
Abstract
April 1, 2024, 2pm; EEB 248 (note room change)

Host: Ketan Savla

Chandra Murthy, Indian Institute of Science
Sparsity-aware Bayesian inference and its applications
Abstract
March 25, 2024, 2pm; EEB 132

Host: Urbashi Mitra

Nikolay Atanasov, University of California, San Diego
Elements of generalizable mobile robot autonomy
Abstract
March 18, 2024, 2pm; EEB 132

Host: Lars Lindemann

Magnus Egerstedt, University of California, Irvine
Mutualistic interactions in heterogeneous multi-robot systems
Abstract
March 4, 2024, 2pm; EEB 132

Hosts: Mihailo Jovanovic and Lars Lindemann

Ingvar Ziemann, University of Pennsylvania
Sharp rates in dependent learning theory
Abstract
Feb 26, 2024, 2pm; EEB 248 (note room change)

Host: Lars Lindemann and Pierluigi Nuzzo

Milad Siami, Northeastern University
Optimizing sparse interactions for control and sensing in complex networks
Abstract
Feb 23, 2024, 11am; EEB 132 (note day/time change)

Host: Mihailo Jovanovic

Yongduan Song, Chongqing University
Several critical issues in neural network driven control design and analysis

Abstract
Feb 20, 2024, 11am; EEB 132 (note day/time change)

Host: Petros Ioannou

Eva Kanso, University of Southern California
Insights into physical intelligence from individual and collective animal behavior
Abstract

Jan 29, 2024, 2pm; EEB 132

Host: Mihailo Jovanovic

Nikolai Matni, University of Pennsylvania
Representation learning for dynamics and control
Abstract

Dec 7, 2023, 10am; EEB 132 (note day/time change)

Host: Lars Lindemann

Anuradha Annaswamy, Massachusetts Institute of Technology
Resilience and distributed decision-making in a renewable-rich power grid
Abstract

Oct 6, 2023, 4:15pm; EEB 132 (note day/time change)

Host: Petros Ioannou

Mahyar Fazlyab, University of Pennsylvania
Safe deep learning in the feedback loop: A robust control approach
Abstract

March 23, 2020, 11:00am; via Zoom (note time/format change)

Bruno Ribeiro, Purdue University
Unearthing the relationship between graph neural networks and matrix factorization
Abstract

March 9, 2020, 2:00pm; EEB 132

Dimitra Panagou, University of Michigan
Control synthesis under spatio-temporal specifications
Abstract

January 22, 2020, 2:00pm; EEB 132 (note day change)
Cross-listed with CCI-MHI Joint Seminar Series on Cyber-Physical Systems

Koji Fukagata, Keio University
Flow control and machine learning studies at Keio Fukagata Lab
Abstract

Nov 21, 2019, 2:00pm; RRB 208, Laufer Library (note room change)

Steven Brunton, University of Washington
Machine learning and sparse optimization for modeling, sensing, and controlling fluid dynamics
Abstract

Nov 18, 2019, 2:00pm; EEB 132

Stephen Boyd, Stanford University
Convex optimization
Abstract

Nov 4, 2019, 2:00pm; EEB 132
Cross-listed with CCI-MHI Joint Seminar Series on Cyber-Physical Systems

James Rawlings, University of California, Santa Barbara
Nonlinear optimization-based state estimation: robustness analysis by Q functions
Abstract

Oct 28, 2019, 2:00pm; EEB 132

Behcet Acikmese, University of Washington
Real-time optimization based control for agile autonomy
Abstract

Oct 21, 2019, 2:00pm; EEB 132

Vasileios Christopoulos, University of California, Riverside
The acting and adapting brain: Making decisions and learning to adapt in a dynamic world
Abstract

Oct 14, 2019, 2:00pm; EEB 132

Jin Wang, Auburn University
Process monitoring for smart manufacturing: challenges and opportunities
Abstract

Oct 7, 2019, 2:00pm; EEB 132

Eva Kanso, University of Southern California
Sea star inspired crawling and bouncing
Abstract

Sept 30, 2019, 2:00pm; EEB 132

Mitul Luhar, University of Southern California
Model-based design of active and passive flow control for wall turbulence
Abstract

Sept 23, 2019, 2:00pm; EEB 132

Ariyan Kabir, University of Southern California
Trajectory planning for manipulators performing complex tasks
Abstract

Sept 16, 2019, 2:00pm; EEB 132

Kimon Drakopoulos, University of Southern California
Misinformation in platforms: Persuasion and inundation
Abstract

Sept 9, 2019, 2:00pm; EEB 132

Behrouz Touri, University of California, San Diego
Stochastic adventures in systems and controls
Abstract

April 22, 2019, 2:00pm; EEB 132

Suman Chakravorty, Texas A&M University
A decoupling principle in stochastic optimal control and its implications
Abstract

April 17, 2019, 3:00pm; EEB 132 (note day change)
Cross-listed with CCI-MHI Joint Seminar Series on Cyber-Physical Systems

Jason Marden, University of California, Santa Barbara
If agents could talk … what should they say?
Abstract

April 8, 2019, 2:00pm; EEB 132

Panagiotis Tsiotras, Georgia Institute of Technology
Uncertainty synthesis for stochastic systems
Abstract

April 5, 2019, 11:00am; EEB 248 (note day/time/room change)

Niklas Karlsson, Verizon Media
Adaptive optimization and control in online advertising
Abstract

April 1, 2019, 2:00pm; EEB 132

Michael Demetriou, Worcester Polytechnic Institute
Dynamic-data driven real-time estimation of plumes using adaptive sampling
Abstract

Mar 25, 2019, 2:00pm; EEB 132

Antonis Papachristodoulou, University of Oxford
Exploiting sparsity in semidefinite and sum of squares programming
Abstract

Mar 20, 2019, 3:00pm; EEB 132 (note day change)
Cross-listed with CCI-MHI Joint Seminar Series on Cyber-Physical Systems

Margareta Stefanovic, University of Denver
Robust stabilization with guaranteed performance in heterogeneous multi-agent systems with nonlinear uncertain couplings
Abstract

Mar 18, 2019, 2:00pm; EEB 132

Muriel Medard, Massachusetts Institute of Technology
Guessing Random Additive Noise Decoding (GRAND)
Abstract

Mar 4, 2019, 2:00pm; EEB 132

Jorge Cortes, University of California, San Diego
The role of network structure in controlling complex networks
Abstract

Feb 25, 2019, 2:00pm; EEB 132

Paul Newton, University of Southern California
Adaptive chemotherapy
Abstract

Feb 11, 2019, 2:00pm; EEB 132

Shaunak Bopardikar, Michigan State University
Sensor selection via randomized sampling
Abstract

Feb 4, 2019, 2:00pm; EEB 132

Frank Lewis, University of Texas at Arlington
Reinforcement learning structures for real-time optimal control and differential games
Abstract

Jan 28, 2019, 2:00pm; EEB 132

Dominique Duncan, University of Southern California
Analytic tools for identifying biomarkers of epileptogenesis after traumatic brain injury using multi-modal data and virtual reality to correct segmentation errors in MRI
Abstract

Jan 14, 2019, 2:00pm; EEB 132

Geir Dullerud, University of Illinois Urbana-Champaign
Automata-switched systems, decentralized control, and team games
Abstract

Nov 26, 2018, 2:00pm; EEB 132

Munther Dahleh, Massachusetts Institute of Technology
A marketplace for data: An algorithmic solution
Abstract

Nov 12, 2018, 2:00pm; EEB 132

Sonja Glavaski, ARPA-E
Building efficient, sustainable and resilient grid by controlling the edge
Abstract

Nov 5, 2018, 2:00pm; EEB 132

Amir Rahmani, NASA Jet Propulsion Laboratory
Swarm autonomy and a new era of space exploration
Abstract

Oct 29, 2018, 2:00pm; EEB 132

Rayadurgam Srikant, University of Illinois Urbana-Champaign
On the loss surface of neural networks for binary classification
Abstract

Oct 22, 2018, 2:00pm; EEB 132

Stanley Chan, Purdue University
Understanding plug-and-play ADMM: convergence, objective function, and generalization
Abstract

Oct 15, 2018, 2:00pm; EEB 132

Murat Arcak, University of California, Berkeley
Scalable symbolic control
Abstract

Oct 8, 2018, 2:00pm; EEB 132

Vanessa Jonsson, City of Hope Beckman Research Institute
Adaptive clinical trial design to address acquired resistance and therapeutic failure
Abstract

Oct 1, 2018, 2:00pm; EEB 132

James Anderson, California Institute of Technology
Private models and distributed control of networked systems
Abstract

Sept 24, 2018, 2:00pm; EEB 132

Soon-Jo Chung, California Institute of Technology
Multi-agent cooperative control and estimation for flying cars and spacecraft swarms
Abstract

Sept 17, 2018, 2:00pm; EEB 132

Meisam Razaviyayn, University of Southern California
Finding a local optimum of a constrained non-convex optimization and its connections to global optimality
Abstract

Sept 10, 2018, 2:00pm; EEB 132

Jason Lee, University of Southern California
Towards theoretical understanding of over-parametrization in deep learning
Abstract

Aug 27, 2018, 2:00pm; EEB 132

Steven Brunton, University of Washington
Data-driven discovery and control of nonlinear systems
Abstract

Apr 23, 2018, 2:00pm; EEB 132

John Baras, University of Maryland
Networked Cyber-Physical Systems (Net-CPS)
Abstract

Apr 16, 2018, 2:00pm; EEB 132

Anders Rantzer, Lund University
Towards a scalable theory of control
Abstract

Apr 9, 2018, 2:00pm; EEB 132

Jorge Poveda, University of California, Santa Barbara
Robust model-free control, optimization, and learning in cyber-physical societal systems
Abstract

Apr 2, 2018, 2:00pm; EEB 132

B. Ross Barmish, University of Wisconsin, Madison
From the Kelly-Shannon collaboration to stock trading based on feedback control
Abstract

Mar 26, 2018, 2:00pm; EEB 132

Ali Jadbabaie, Massachusetts Institute of Technology
Near-optimal sparse sensor and actuator selection
Abstract

Mar 19, 2018, 2:00pm; EEB 132

Pramod Khargonekar, University of California, Irvine
Electric grid integration of renewable generation and distributed control
Abstract

Mar 5, 2018, 11:00am; EEB 132 (note time change)

Magnus Egerstedt, Georgia Institute of Technology
Long-range autonomy and constraint-based coordination of multi-robot systems
Abstract

Feb 28, 2018, 2:00pm; EEB 132 (note day change)
Cross-listed with CCI-MHI Joint Seminar Series on Cyber-Physical Systems

Frank Doyle, Harvard University
Controlling the artificial pancreas
Abstract

Feb 26, 2018, 2:00pm; EEB 132

Sean Meyn, University of Florida
Reinforcement learning: hidden theory, and new super-fast algorithms
Abstract

Feb 21, 2018, 2:00pm; EEB 132 (note day change)
Cross-listed with CCI-MHI Joint Seminar Series on Cyber-Physical Systems

Richard Murray, California Institute of Technology
Safety-critical autonomous systems: What is possible? What is required?
Abstract

Feb 12, 2018, 11:00am; EEB 132 (note time change)

Douglas Smith, Air Force Office of Scientific Research
AFOSR – Unsteady Aerodynamics and Turbulent Flows: An introduction
Abstract

Feb 5, 2018, 2:00pm; EEB 132

Zhisheng Niu, Tsinghua University
A wait-and-see two-threshold optimal sleeping policy for a single server queue with bursty traffic
Abstract

Feb 2, 2018, 11:00am; EEB 132 (note day change)

Ulrich Muenz, Siemens
Future power system control functions: an industry perspective
Abstract

Jan 29, 2018, 2:00pm; EEB 132

Miroslav Krstic, University of California, San Diego
Traffic congestion control: A PDE backstepping perspective
Abstract

Jan 22, 2018, 2:00pm; EEB 132

Bassam Bamieh, University of California, Santa Barbara
Multiplicative noise as a structured stochastic uncertainty problem
Abstract

Jan 8, 2018, 2:00pm; EEB 132

Maxim Raginsky, University of Illinois at Urbana-Champaign
Decentralized online optimization with global objectives and local communication
Abstract

Nov 27, 2017, 2:00pm; EEB 132

Srinivas Shakkottai, Texas A&M University
Towards a market-mediated software defined communications ecosystem at the wireless edge
Abstract

Nov 20, 2017, 2:00pm; EEB 132

Victor Preciado, University of Pennsylvania
From local network structure to global graph spectrum
Abstract

Nov 15, 2017, 2:00pm; EEB 132 (note day change)
Cross-listed with CCI-MHI Joint Seminar Series on Cyber-Physical Systems

Francesco Bullo, University of California, Santa Barbara
Network systems and Kuramoto oscillators
Abstract

Nov 7, 2017, 2:00pm; EEB 132 (note day change)

Jordan Berg, National Science Foundation
Dynamics, controls, and robotics programs at NSF: a biased perspective
Abstract

Nov 6, 2017, 2:00pm; EEB 132

Anil Aswani, University of California, Berkeley
Making robust decisions from data
Abstract

Oct 30, 2017, 2:00pm; EEB 132

Fabio Pasqualetti, University of California, Riverside
Synchronization patterns in networks of Kuramoto oscillators: A network-theoretic approach for analysis and control
Abstract

Oct 23, 2017, 2:00pm; EEB 132

Bin Hu, University of Wisconsin, Madison
Dissipativity theory for optimization and machine learning research
Abstract

Oct 16, 2017, 2:00pm; EEB 132

Allen Tannenbaum, Stony Brook University
Optimal mass transport and the robustness of complex networks
Abstract

Oct 9, 2017, 2:00pm; EEB 132

Carolyn Beck, University of Illinois at Urbana-Champaign
Epidemic processes over topologically varying networks
Abstract

Oct 4, 2017, 2:00pm; EEB 132 (note day change)
Cross-listed with CCI-MHI Joint Seminar Series on Cyber-Physical Systems

Aaron Ames, California Institute of Technology
Unified control of dynamic robotic systems
Abstract
Oct 2, 2017, 2:00pm; EEB 132

Evangelos Theodorou, Georgia Institute of Technology
The science of autonomy: a “happy” symbiosis among learning, control, and physics
Abstract

Sep 26, 2017, 2:00pm; EEB 248 (note day/room change)

Angelia Nedich, Arizona State University
Fast distributed algorithms for optimization and resource sharing in networks
Abstract

Sep 25, 2017, 11:00am; EEB 248 (note time/room change)

Ramtin Pedarsani, University of California, Santa Barbara
Robust scheduling for flexible stochastic networks
Abstract

Sep 11, 2017, 2:00pm; EEB 248 (note room change)

Terence Sanger, University of Southern California
Rate coding, spike coding, and biological control
Abstract

Aug 28, 2017, 2:00pm; EEB 132

Peter Schmid, Imperial College, London
Model-based and data-based flow analysis using optimization
Abstract

Aug 21, 2017, 2:00pm; EEB 132