Tutorial Sessions

Tutorial Sessions by Paulo Tabuada and João Hespanha

will be presented on Tuesday, October 2, 2018* 

Coordinated Science Laboratory Auditorium, Room B02

Registration Fee Per Session
$40 advanced registration fee (before September 17)
$50 regular registration fee (September 18-October 2)

SCHEDULE

Registration and Breakfast: 8:30-9:30 am in the lower level lobby of Coordinated Science Laboratory

Morning Tutorial 
Session begins: 9:30am-11:30am
Lunch break: 11:30am-12:30pm (Lunch will not be provided)
Session resumes: 12:30pm-1:30pm

Afternoon Tutorial 
Session begins: 2:00pm-3:30pm
Afternoon break: 3:30pm-4:00pm (Snacks and water will be provided)
Session resumes: 4:00pm-5:30pm

Conference Welcome Reception will follow from 6:00-8:00pm in 3002 Electrical and Computer Engineering Building 


Paulo Tabuada will start his tutorial presentation at 9:30am-1:30pm (includes a break for lunch from 11:30am-12:30pm)

Title:  Secure estimation and control under sensor attacks

Abstract:   Cyber-physical systems work silently in the background to support much of the critical infrastructure we have grown used to. Water distribution networks, sewer networks, gas and oil networks, and the power grid are just a few examples of critical infrastructure that are becoming increasingly networked both for distributed sensing and control, as well as for remote monitoring and reconfiguration. Unfortunately, once these systems become connected to the internet they become vulnerable to attacks that, although launched in the cyber domain, have for objective the manipulation of the physical domain. In this tutorial I will discuss the problem of state-estimation and control for cyber-physical systems undergoing sensor attacks.

Biography: Paulo Tabuada was born in Lisbon, Portugal, one year after the Carnation Revolution. He received his “Licenciatura” degree in Aerospace Engineering from Instituto Superior Tecnico, Lisbon, Portugal in 1998 and his Ph.D. degree in Electrical and Computer Engineering in 2002 from the Institute for Systems and Robotics, a private research institute associated with Instituto Superior Tecnico. Between January 2002 and July 2003 he was a postdoctoral researcher at the University of Pennsylvania. After spending three years at the University of Notre Dame, as an Assistant Professor, he joined the Electrical and Computer Engineering Department at the University of California, Los Angeles, where he currently is the Vijay K. Dhir Professor of Engineering.

Paulo Tabuada’s contributions to cyber-physical systems have been recognized by multiple awards including the NSF CAREER award in 2005, the Donald P. Eckman award in 2009, the George S. Axelby award in 2011, the Antonio Ruberti Prize in 2015, and the grade of fellow awarded by IEEE in 2017. In 2009 he co-chaired the International Conference Hybrid Systems: Computation and Control (HSCC’09) and joined its steering committee in 2015, in 2012 he was program co-chair for the 3rd IFAC Workshop on Distributed Estimation and Control in Networked Systems (NecSys’12), in 2015 he was program co-chair for the IFAC Conference on Analysis and Design of Hybrid Systems, and in 2018 he was program co-chair for the International Conference on Cyber-Physical Systems (ICCPS’18). He also served on the editorial board of the IEEE Embedded Systems Letters and the IEEE Transactions on Automatic Control.

 


João Hespanha will start his tutorial presentation at 2:00pm-5:30pm (includes a 30 minute break from 3:30-4:00pm)

Title: Real time optimization for estimation and control

Abstract: Fast and computationally efficient optimization algorithms find application in numerous application areas including parameter estimation, machine learning, robust regression, and feedback control. The first part of this tutorial session provides an overview of key application areas for real-time optimization, including maximum likelihood estimation, model predictive control, and distributed control/estimation. The second part of the session is devoted to computationally efficient optimization algorithms to support the applications discussed in the first part of the tutorial session. Specifically, we will provide an overview of primal-dual interior point methods, which can provide very fast solutions with a very small computational cost, when properly designed. Throughout the session, special attention will be devoted to highlight open problems and potential directions for future research.

Biography: João P. Hespanha received his Ph.D. degree in electrical engineering and applied science from Yale University, New Haven, Connecticut in 1998. From 1999 to 2001, he was Assistant Professor at the University of Southern California, Los Angeles. He moved to the University of California, Santa Barbara in 2002, where he currently holds a Professor position with the Department of Electrical and Computer Engineering. Dr. Hespanha is the recipient of the Yale University’s Henry Prentiss Becton Graduate Prize for exceptional achievement in research in Engineering and Applied Science, the 2005 Automatica Theory/Methodology best paper prize, the 2006 George S. Axelby Outstanding Paper Award, and the 2009 Ruberti Young Researcher Prize. Dr. Hespanha is a Fellow of the IFAC and of IEEE and he was an IEEE distinguished lecturer from 2007 to 2013. His current research interests include hybrid and switched systems; multi-agent control systems; game theory; optimization; distributed control over communication networks (also known as networked control systems); the use of vision in feedback control; and network security.

*Please note that lodging will not be available on Monday, October 1 at the Allerton Park and Retreat Center. If you plan to attending these tutorials, please pursue other lodging options at the 2018 Recommended Hotels section.

Metered parking is available. Please pay via cell phone or plan accordingly. Change will not be provided by organizers.