Technical Program
Please join us for a welcome reception on Thursday Oct. 12, 7:00 pm -10:00 pm, at The Hotel, 7777 Baltimore Ave, College Park, MD 20740 (Henson Room)
The technical program will run from the morning of Oct. 13 to the evening of Oct. 14, 2023
The full technical program with abstracts and speaker bios is available by clicking here; schedule is summarized below
New Frontiers in Networked Dynamical Systems:
Assured Learning, Communication and Control
Technical program schedule
Clark Hall [Forum 1101], Univ. of Maryland College Park Campus
Friday, Oct. 13 (morning)
7:30-8:15am: Registration, breakfast
8:15-8:30am: Opening remarks
Robert M. Briber, A. J. Clark School of Engineering, University of Maryland
Ankur Srivastava, Director, Institute for Systems Research
8:30-9:00am: Keynote Talk (Session Chair: Mingyan Liu)
Softly shaping behavior
Tamer Başar, University of Illinois Urbana-Champaign
9:00-9:20am: Coffee break
9:20-11:00am: Short Talks: Multi-agent Systems (Session Chair: John Baillieul)
(9:20-9:40am) Spatiotemporal logic control for leader-follower multi-agent systems
Dimos Dimarogonas, KTH Royal Institute of Technology, Sweden
(9:40-10:00am) Information design under uncertainty
Munther Dahleh, MIT
(10-10:20am) Swarm-based gradient descent methods for non-convex optimization
Eitan Tadmor, University of Maryland
(10:20-10:40am) Opinion dynamics under social pressure in arbitrary networks
Ali Jadbabaie, MIT
(10:40-11:00am) Enabling new paradigms for networked dynamical systems through 6G
Andrea Goldsmith, Princeton University
11:00-11:10am: Short break
11:10am-12:10pm: Panel 1: Duel or Duet: The Fate of Control Theory in the Era of Machine Learning and AI
Xiaobo Tan (moderator), Michigan State University
Eyad Abed, University of Maryland, College Park
John Baillieul, Boston University
Maryam Fazel, University of Washington
Na Li, Harvard University
12:10-1:50pm: Lunch Break and Keynote (Session Chair: Nikolaos Sidiropoulos)
(12:45-1:15pm) Retrospective and state of the Institute for Systems Research (ISR)
Ankur Srivastava, University of Maryland
Friday, Oct. 13 (afternoon)
1:50-2:50pm: Panel 2: How AI is Shaping Future Systems Engineering
Hongjun “Jason” Li (moderator), Trusted Science and Technology
John S. Baras, University of Maryland
Albert Benveniste, Inria, France
Mauricio Castillo-Effen, Lockheed Martin
John D. Kenyon, Hughes Network Systems (retired)
2:50-3:20pm: Coffee break
3:20-3:50pm: Keynote Talk (Session Chair: Armand Makowski)
Shared information
Prakash Narayan, University of Maryland
3:50-5:30pm: Short Talks: Learning Theory and Learning-based Control (Session Chair: Radha Poovendran)
(3:50-4:10pm) Asymptotic learning in overparameterized models
Anant Sahai, University of California, Berkeley
(4:10-4:30pm) Policy optimization methods in control
Maryam Fazel, University of Washington
(4:30-4:50pm) Higher-order learning vs Nash equilibrium
Jeff Shamma, University of Illinois Urbana-Champaign
(4:50-5:10pm) Representation-based nonlinear stochastic control and learning via spectral embedding
Na Li, Harvard University
(5:10-5:30pm) Learning dynamics of overparametrized networks
René Vidal, University of Pennsylvania
5:30-5:35pm: Closing remarks for Day 1
Saturday, Oct. 14 (morning)
7:45-8:15am: Registration, breakfast
8:15-8:20am: Opening remarks
8:20-8:50am: Keynote Talk (Session Chair: Miroslav Krstic)
The Reward-biased method: Exploration vs. exploitation from adaptive control to reinforcement learning
P. R. Kumar, Texas A&M University
8:50-9:00am: Short break
9:00-10:40am: Short Talks: Stochastic and Distributed Systems and Control (Session Chair: Jeff Shamma)
(9:00-9:20am) Stochastic control and thermodynamics in finite time
Tryphon T. Georgiou, University of California, Irvine
(9:20-9:40am) Stochastic safety noncooperative games
Miroslav Krstic, University of California, San Diego
(9:40-10:00am) Operator-valued kernels and control of infinite dimensional dynamic systems
Alain Bensoussan, University of Texas, Dallas
(10:00-10:20am) A variational approach to sampling and path estimation in diffusion processes
Maxim Raginsky, University of Illinois Urbana-Champaign
(10:20-10:40am) Stochastic systems with Rosenblatt noise and applications
Tyrone Duncan, University of Kansas
10:40-10:50am: Short break
10:50am-12:30pm: Short Talks: Learning, Control, and Security in Communications and Networks (Session Chair: Nikolaos Sidiropoulos)
(10:50-11:10am) Federated learning for cooperative control over additive channel
Tara Javidi, University of California, San Diego
(11:10-11:30am) Together we can: DDoS attack detection via privacy-aware federated learning and collaborative mitigation in multi-domain cyber infrastructures
Vasilis Maglaris, National Technical University of Athens (NTUA), Greece
(11:30-11:50am) How much is a bit worth?
Massimo Franceschetti, University of California, San Diego
(11:50am-12:10pm) Securing location-based mobile computing
Panos Papadimitratos, KTH Royal Institute of Technology, Sweden
(12:10-12:30pm) Randomization-based defenses against membership inference attacks and backdoor attacks in deep neural networks
Radha Poovendran, University of Washington
12:30-2:00pm: Lunch Break and Keynote (Session Chair: Hongjun “Jason” Li)
(1:15-1:45pm) Self organization: From neural networks to networked systems
John S. Baras, University of Maryland
Saturday, Oct. 14 (afternoon)
2:00-2:30pm: Keynote Talk (Session Chair: Alvaro Cardenas)
When things get big: Using hierarchy to gain analytical and computational advantage in multi-agent systems
Mingyan Liu, University of Michigan
2:30-4:10pm: Short Talks: Modeling and Analysis of Networked Complex Systems (Session Chair: Eyad Abed)
(2:30-2:50pm) Large physics dominated cyberphysical systems modeling: DAEs as needed solution but scientific nightmare
Albert Benveniste, Inria, France
(2:50-3:10pm) Predicting oscillations in relay feedback systems
Maben Rabi, Østfold University College, Norway
(3:10-3:30pm) Autonomy, GNNs, and spectrum
Brian Sadler, Army Research Laboratory
(3:30-3:50pm) A quantum walk model for emotion transmission in serial reproduction of narratives (via Zoom)
Jerome Busemeyer, Indiana University
(3:50-4:10pm) On the value of data for learning-based control
Sandra Hirche, Technical University of Munich, Germany
4:10-4:30pm: Coffee break
4:30-5:30pm: Panel 3: The Era of Generative AI: Assured Human-cyber-physical Systems
Nikolaos Sidiropoulos (moderator), University of Virginia
Rance Cleaveland, University of Maryland
Panos Papadimitratos, KTH Royal Institute of Technology, Sweden
Radha Poovendran, University of Washington
René Vidal, University of Pennsylvania
5:30-5:45pm: Closing remarks
John S. Baras, University of Maryland