DARPA/s Factory of the Future
Ars Technical article about DARPA's Adaptive Vehicle Make program vision: "DARPA's factory of the future looks like open source development"
Ars Technical article about DARPA's Adaptive Vehicle Make program vision: "DARPA's factory of the future looks like open source development"
Pravin Varaiya is Professor of the Graduate School in the Department of Electrical Engineering and Computer Sciences at the University of California, Berkeley. From 1975 to 1992 he was also Professor of Economics. His current research interests include transportation networks and electric power systems.
His honors include a Guggenheim Fellowship, three Honorary Doctorates, the Field Medal and Bode Prize of the IEEE Control Systems Society, the Richard E. Bellman Control Heritage Award, and the Outstanding Research Award of the IEEE Intelligent Transportation Systems Society. He is a Fellow of IEEE, a member of the National Academy of Engineering, and a Fellow of the American Academy of Arts and Science.
I lead the Dependable Networking and Computing research group in the Department of Electrical and Computer Engineering at Iowa State University. Our research explores the theories, methods, and systems building-blocks for addressing dynamics and uncertainties in networked systems that involve wireless networks, sensing and control networks, vehicular networks, and the Internet.
Presently, we are especially interested in the modeling, algorithmic, and systems issues in wireless sensing and control networks as well as their applications in augmented reality, smart agriculture, connected and automated vehicles, smart energy grid, industrial IoT, and cyber-physical-human systems in general. For instance, as a part of the US Ignite, CPS, NeTS, and GOALI programs of NSF and in collaboration with industry, we have investigated field-deployable mechanisms for predictable, real-time, and secure wireless networking, and we have investigated cross-layer approaches to taming cyber-physical uncertainties in wireless networked sensing and control; as a part of the NSF GENI program, we have developed theoretical and systems foundations for experimentation and service provisioning in connected and automated vehicles as well as in federated, networked sensing.
Besides publications, our work has provided foundational components for several wireless network systems, including the emulation system and software-defined innovation platforms for sensing and control networks of connected and automated vehicles, the WiMAX research cellular network, the KanseiGenie federated sensor networks, the NetEyeexperimental infrastructure (which has 176 IEEE 802.15.4 nodes and 15 802.11b/g nodes), and the DARPA sensor network systems A Line in the Sand and ExScal (which, with its 200-node 802.11b mesh network and 1,200-node mote network, was the world's largest wireless sensor network and 802.11b mesh network deployed at its time).
I received the NSF CAREER Award in 2011. Our work has been recognized by the Best Demo Award at the 23rd and 21st NSF GENI Engineering Conference in 2015 and 2014 respectively, and the Best Demo First Runner-up Award at the 20th NSF GENI Engineering Conference in 2014. Our articles have been selected as the Annual Best Paper of the Journal of Systems Science and Complexity (Springer) in 2016, the Spotlight Paper of the IEEE Transactions on Mobile Computing in November 2010, and a Best Paper Candidate at the IEEE International Conference on Network Protocols (ICNP) in 2010. Our work has also been featured by public media such as CBS, Science X, SmartPlanet, EurekAlert!, Model D, UMTRI Connected Vehicle News, Michigan University Research Corridor News, Wayne State University New Science Magazine, and Today@Wayne.
Dr. Anuradha Annaswamy received the Ph.D. degree in Electrical Engineering from Yale University in 1985. She has been a member of the faculty at Yale, Boston University, and MIT where currently she is the director of the Active-Adaptive Control Laboratory and a Senior Research Scientist in the Department of Mechanical Engineering. Her research interests pertain to adaptive control theory and applications to aerospace and automotive control, active control of noise in thermo-fluid systems, control of autonomous systems, decision and control in smart grids, and co-design of control and distributed embedded systems. She is the co-editor of the IEEE CSS report on Impact of Control Technology: Overview, Success Stories, and Research Challenges, 2011, and will serve as the Editor-in-Chief of the IEEE Vision document on Smart Grid and the role of Control Systems to be published in 2013. Dr. Annaswamy has received several awards including the George Axelby Outstanding Paper award from the IEEE Control Systems Society, the Presidential Young Investigator award from the National Science Foundation, the Hans Fisher Senior Fellowship from the Institute for Advanced Study at the Technische Universität München in 2008, and the Donald Groen Julius Prize for 2008 from the Institute of Mechanical Engineers. Dr. Annaswamy is a Fellow of the IEEE and a member of AIAA.