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Lillian J. Ratliff

ratliffl at eecs.berkeley

Postdoctoral Researcher, EECS at UC Berkeley

( current research . publications . past research )


Current Research

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The next generation urban ecosystem, increasingly empowered by the Internet of Things, has at its core a shared economy where resources, both physical and information-based, are easily aggregated and exchanged via novel sharing mechanisms. As a result, a new market place is emerging in which these resources are a valuable commodity. However, the evolution of this market brings with it many challenges including 1) a large number of self-interested entities operating in the environment, 2) a rapidly growing number of sharing mechanisms, 3) a wide variety of resource constraints, and 4) new classes of vulnerabilities.

My research uses game theory to model the incentive structure (players and their motivations) of the emerging data market. A primary aim of this research is to develop learning and optimization schemes that will address the inefficiencies that arise in this market due to asymmetric information between the market participants, e.g. regulators, service providers (traditional and third-party), and end-users. In these schemes, each of these market participants is considered both as strategic data resources and resource seekers.

It is possible to quantify the value of the information content of the data acquired from tightly coupled infrastructure systems, thereby exposing tradeoffs between the data's utility and vulnerability. To balance this tradeoff, I derive user decision-making and resource consumption models that are incorporated into the design of market mechanisms such as contracts or incentives aimed at improving operational efficiency and resilience. One thrust of my work focuses on constructing adaptive incentive mechanisms to address adverse selection in smart, connected infrastructure systems. Further, I am recently interested in develop new notions for bounded/non-rational equilibria for modeling strategic decision-making using game theory and dynamical systems theory.

Publications, &c.

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In Preparation

Lillian J. Ratliff, Roy Dong, Walid Krichene, and S. Shankar Sastry. "Utility Learning and Incentive Design via Adaptive Control," 2015.

Lillian J. Ratliff, Ming Jin, Ioannis Konstantakopoulos, Costas Spanos, and S. Shankar Sastry. "Utility Learning and Incentive Design for Sustainability in Building Energy Management," 2015.

Published, Under Review, &c.

Lillian J. Ratliff, Samuel A. Burden, S. Shankar Sastry. On the Characterization of Local Nash Equilibria in Continuous Games. IEEE Transactions on Automatic Control, 2014. (To Appear) (arXiv:1411.2168)

Lillian J. Ratliff. Incentivizing Efficiency in Societal-Scale Cyber-Physical Systems. Ph.D. Thesis, UC Berkeley, 2015. (PDF)

Lillian J. Ratliff, Carlos Barreto, Roy Dong, Henrik Ohlsson, Alvaro A. Cárdenas, and S. Shankar Sastry. Effects of Risk on Privacy Contracts for Demand-Side Management. (arXiv:1409.7926v3)

Pushkin Kachroo, Lillian J. Ratliff, and S. Shankar Sastry. Analysis of the Godunov Based Hybrid Model for Ramp Metering and Robust Feedback Control Design. IEEE Transactions on Intelligent Transportation Systems, Vol. 15, Issue 5, 2132-2142, Oct. 2014. ( PDF)

Roy Dong, Alvaro A. Cárdenas, Lillian J. Ratliff, Henrik Ohlsson, Shankar Sastry. Quantifying the Utility-Privacy Tradeoff in the Smart Grid. IEEE Transactions on Smart Grid, 2014. Under Review, 2nd Round (Apr. 2015). ( arXiv:1406.2568v1)

Dexter Scobee, Lillian Ratliff, Roy Dong, Henrik Ohlsson, Michel Verhaegen and S. Shankar Sastry. Nuclear Norm Minimization for Blind Subspace Identification (N2BSID). IEEE Conference on Decision and Control, 2015.

Daniel Calderone, Lillian Ratliff, S. Shankar Sastry. Lane Pricing via Decision–Theoretic Lane Changing Model of Driver Behavior. IEEE Conference on Decision and Control, 2015.

Ming Jin, Lillian J. Ratliff, Ioannis C. Konstantakopoulos, Costas Spanos, S. Shankar Sastry. REST: A Reliable Estimation and Stopping Time Algorithm for Social Game Experiments. ACM/IEEE International Conference on Cyber-Physical Systems, 2015. (PDF)

Lillian J. Ratliff, Ming Jin, Ioannis C. Konstantakopoulos, Costas Spanos, S. Shankar Sastry. Social Game for Building Energy Efficiency: Incentive Design. 52nd Annual Allerton Conference on Communication, Control, and Computing, 2014. (PDF, Slides)

Lillian J. Ratliff, Roy Dong, Henrik Ohlsson, Alvaro A. Cardenas, Shankar Sastry. Privacy and Customer Segmentation in the Smart Grid. IEEE Conference on Decision and Control, 2014. (PDF)

Lillian J. Ratliff, Roy Dong, Henrik Ohlsson, S. Shankar Sastry. Incentive Design and Utility Learning via Energy Disaggregation. 19th World Congress of the International Federation of Automatic Control, 2014. (PDF)

Daniel J. Calderone, Lillian J. Ratliff, Shankar Sastry. Pricing for Coordination in Open-Loop Differential Games. 19th World Congress of the International Federation of Automatic Control (IFAC), 2014. (PDF)

Henrik Ohlsson, Lillian J. Ratliff, Roy Dong, S. Shankar Sastry. Blind Identification via Lifting. 19th World Congress of the International Federation of Automatic Control (IFAC), 2014. (PDF)

Roy Dong, Lillian J. Ratliff, Henrik Ohlsson, Shankar Sastry. Fundamental Limits of Non-Intrusive Load Monitoring. ACM International Conference on High Confidence Networked Systems (HiCoNS), 2014. DOI: 10.1145/2566468.2566471 (arXiv)

Lillian J. Ratliff, Roy Dong, Henrik Ohlsson, and S. Shankar Sastry. Energy Efficiency via Incentive Design and Utility Learning. ACM International Conference on High Confidence Networked Systems (HiCoNS), 2014. DOI: 10.1145/2566468.2576849 (PDF)

Lillian J. Ratliff, Samuel A. Burden, Shankar Sastry. Genericity and Structural Stability of Non-degenerate Differential Nash Equilibria. American Control Conference, 2014. DOI: 10.1109/ACC.2014.6858848 (PDF)

Lillian J. Ratliff, Samuel A. Burden, Shankar Sastry. Characterization and Computation of Local Nash Equilibria in Continuous Games. 51st Annual Allerton Conference on Communication, Control, and Computing, 2013. DOI: 10.1109/Allerton.2013.6736623 (PDF, Slides)

Henrik Ohlsson, Lillian Ratliff, Roy Dong, Shankar Sastry. Blind Identification of ARX Models with Piecewise Constant Inputs. arXiv:1303.6719, 2013. (PDF)

Roy Dong, Lillian J. Ratliff, Henrik Ohlsson, S. Shankar Sastry. Energy Disaggregation via Adaptive Filtering. 51st Annual Allerton Conference on Communication, Control, and Computing, 2013. DOI: 10.1109/Allerton.2013.6736521 (arXiv)

Roy Dong, Lillian J. Ratliff, Henrik Ohlsson, Shankar Sastry. A Dynamical Systems Approach to Energy Disaggregation. IEEE Conference on Decision and Control, 2013. pg. 6335-6340. DOI: 10.1109/CDC.2013.6760891 (arXiv, PDF)

Daniel Calderone, Lillian J. Ratliff, S. Shankar Sastry. Pricing Design for Robustness in Linear-Quadratic Dynamic Games. IEEE Conference on Decision and Control, 2013. DOI: 10.1109/CDC.2013.6760558

Aaron Bestick, Lillian J. Ratliff, Po Yan, Ruzena Bajcsy, S. Shankar Sastry. An Inverse Correlated Equilibrium Framework for Utility Learning in Multiplayer, Noncooperative Settings. ACM International Conference on High Confidence Networked Systems (HiCoNS), 2013. DOI: 10.1145/2461446.2461449 (PDF)

Samuel Coogan, Lillian J. Ratliff, Daniel Calderone, Claire Tomlin, S. Shankar Sastry. Energy Management via Pricing in LQ Dynamic Games. American Control Conference, 2013. DOI: 10.1109/ACC.2013.6579877 (PDF)

Lillian J. Ratliff, Samuel Coogan, Daniel Calderone, S. Shankar Sastry. Pricing in Linear-Quadratic Dynamic Games. 50th Annual Allerton Conference on Communication, Control, and Computing, 2012. DOI: 10.1109/Allerton.2012.6483440 (PDF)

Lillian J. Ratliff and Pushkin Kachroo. Validating numerically consistent macroscopic traffic models using microscopic data. Transportation Research Board 89th Annual Meeting, 2010.

Daniel P. Cook, Yitung Chen, Lillian J. Ratliff, Huajun Chen, and Jian Ma. Numerical Modeling of EM Pump Efficiency. ASME Conference Proceedings, 2006.

Recent Talks

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CDC, LA, Dec. 2014, Organizing and speaking at workshop on 'Big Data Analytics for Societal Scale Cyber-Physical Systems: Energy Systems'

Allerton, IL, Oct. 2014, Social Game for Building Energy Efficiency: Incentive Design.

IFAC, Cape Town, South Africa, August 2014, Incentive Design and Utility Learning via Energy Disaggregation.

ACC, Portland Oregon, 06 June 2014, Genericty and Structural Stability of Non-degenerate Differential Nash Equilibria

Stanford, 30 May 2014, Game Theoretic Tools for Societal Scale Cyber-Physical Systems

PDE Seminar, Math Department Berkeley, 09 May 2014, Convexity in Multidimensional Screening

PDE Seminar, Math Department Berkeley, 25 April 2014, Multidimensional Screening

EECS Seminar, University of Michigan, 25 March 2014, Game Theoretic Tools for Societal Scale CPS

Awards

NSF Graduate Fellowship, 2009

Past Research

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MS thesis topic: Uncertainty Propagation in Dynamical Systems.

Advisor: Pushkin Kachroo