CDC 2014 Workshop on
Big Data Analytics for Societal Scale Cyber-Physical Systems:
Lillian J. Ratliff, Roy Dong, Henrik Ohlsson, Zico Kolter, Shankar Sastry
In this workshop we bring together researchers and industrial representatives to discuss resilient societal scale cyber physical systems (CPS). We will focus on one of the most rapidly modernizing CPS, the energy sector, and will use tools from a wide range of fields and areas--including automatic control, system identification, compressed sensing, privacy, security, and machine learning--to address potential new technologies for societal-scale CPS.
The key to providing a substantial advance in analytics is the development of data driven machine learning algorithms that can be scaled to the dimensions required by energy analytics. The large amount of data collected by various sensors has substantial monetary value. For instance, recent studies have reported that the market for energy analytics in the electric grid is estimated to be worth $9.7 billion by 2020. However, highly sophisticated data algorithms are necessary to integrate the data, create data driven models with predictive power, and extract the value and ultimately revenue from the otherwise incomprehensible stream of information.
Consumer choice and the economic model of utilities are being changed radically by analytics. As a result research in developing new analytics also poses challenging, longer term, large scale and interdisciplinary research problems of interest to the areas of automatic control, system identification, compressed sensing, privacy, security and machine learning.
This workshop is intended to be a gathering of individuals from industry and academia (including graduate students, faculty, and researchers) to discuss research in resilient, societal scale cyber-physical systems. The aim is to understand what problems that are of practical relevance and to identify interesting and promising directions for future research.
The workshop will begin with an introductory session in the morning focusing on societal scale cyber-physical systems and analytics. It will be followed by lecture series in four main areas: industrial needs, incentive design, resilience: security, and resilience: privacy. The workshop will conclude with a panel and round-table discussion focusing on the future of research for societal scale cyber-physical systems.
Logistics: 25 minute talks followed by 5 minute discussions
Research interests: embedded and autonomous software, computer vision, machine learning and big data analytics, game theory, economic incentives, privacy and security in societal scale cyber-physical systems.
Research interests: computational approaches to sustainable energy domains, and core challenges arising in machine learning, optimization, and control in these areas.
Web page: http://www.cs.cmu.edu/~zkolter/
Research interests: system identification, machine learning and cyber-physical with a focus on energy systems.
Web page: http://www.eecs.berkeley.edu/~ohlsson/
Research interests: combining machine learning and game theory for solving problems in societal scale cyber-physical systems and, in particular, the design of privacy-preserving economic incentives as well as resilient control strategies for critical infrastructure such as energy, transportation, and healthcare systems.
Web page: http://www.eecs.berkeley.edu/~ratliffl/
Research interests: non-intrusive load monitoring, smart grid operations and privacy issues in the smart grid.
Web page: http://www.eecs.berkeley.edu/~roydong/
Research interests: high-confidence network control algorithms for infrastructure systems, with the emphasis on survivability in uncertain and adversarial conditions.
Web page: https://cee.mit.edu/amin
Research interests: distributed control, estimation and optimization, with a particular focus on multi- vehicle systems and wireless networks as well as hybrid and discrete event systems.
Research interests: cyber-physical systems with emphasis on formal methods, distributed algorithms, diagnosis and fault tolerance, and adaptive resource management.
Research interests: secure networked control systems, power systems, model reduction, and fundamen- tal limitations of control systems.
Web page: https://people.kth.se/~hsan/
Research interests: information networking technology, law, and sociology, with a particular emphasis on how design choices and regulation can infringe the privacy and speech rights of users.
Web page: http://wisl.ece.cornell.edu/wicker/
Research interests: control theory and in particular, hybrid systems, embedded systems, hierarchical and distributed control systems, with applications to unmanned aerial vehicles, distributed robotics, green buildings, and biomolecular networks.
Web page: http://www.georgejpappas.org/
Research interests: computer security, cyber-physical systems, network intrusion detection, and wireless networks.