For the inaugural lecture in this new series, Prof. Raja Sengupta will present an introduction to the future of aviation and the exciting work being done on campus in the related fields of aviation data science. Watch this seminar via livestream. Full details will be posted on the series website.
The NASA Berkeley Aviation Data Science Seminar Series was launched in spring 2020 and is held weekly on Wednesdays in Stanley 106, at 11:00 AM - 12:00 PM, from January 22 through May 6. Presenters include experts in government, industry, and academia, who focus on how big data collection and machine learning are transforming aircraft, airspace, and airport operations, with topics ranging from feedback control, IoT, and IoV to autonomy, AI, and data security. All seminars are livecast and interactive across both campuses. The series is also being offered as a 1-credit course: the Berkeley course numbers are CEE198/CEE298 (class #: 33393) and CP298 (class #: 13328). This seminar series is hosted by NASA and UC Berkeley, sponsored by the Universities Space Research Association (USRA) and NASA Academic Mission Services; and presented by UC Berkeley's Urban Air Mobility Research Center (UAM@Berkeley), the Berkeley Institute of Transportation Studies, and BIDS.
Speaker(s)
Raja Sengupta
Raja Sengupta is Professor in the Systems Engineering Program, Civil Environmental Engineering at UC Berkeley. He holds a PhD in EECS from the University of Michigan. His research has spanned automated cars, drones, connected cars, smartphone apps for economics & transportation, wireless networking, and control theory. He likes to do research with industry and get it into the marketplace. He holds car-to-road networking patents with Toyota, a UAV patent with BAE Aerospace, and has car-to-car networking contributions standardized by the SAE into J2945. He created technology for the successful start-up automatic.com and is now the founder and CEO of responsiblerobotics.com. He has been an advisor to the World Bank, a recipient of U.S. DoT Connected Vehicle Technology award in 2011, UC Berkeley's Energy and Climate Lectures Innovation Award in 2014, and has authored over a hundred papers spanning control theory, networking, drones, and transportation.