Ilia Rosenberg headshot

Ilia Rosenberg

Vice President, Federal Sector

PureTech Systems

Ilia Rosenberg serves as vice president, federal sector, at PureTech Systems. In his prior role as managing director for Blue Ocean Advisory Group and ISR GeoSensing, Rosenberg was responsible for managing programs related to national defense, security, as well as heading their artificial intelligence (AI) and machine learning practices. From 2016 to 2019 he was vice president of programs at a Silicon Valley AI startup, where he was leading technical developments and commercial negotiations with a variety of government and private customers and successfully brought AI technology to the U.S. Department of Defense and the intelligence community.

From 2011 to 2015, Rosenberg served as chief technologist for AGT International Global Delivery Organization in its headquarters in Zurich, Switzerland, leading the worldwide engineering team to assure effective development and transition of new products and creative solutions for smart and safe cities and smart borders programs. Before joining AGT International in 2011, he served as the director of technology assessment for the Boeing Company Security Solutions Division in Arlington, Virginia. Before joining Boeing, Rosenberg worked in the field of atmospherical physics and completed his postdoctoral studies at the Department of Chemical Engineering at the University of Texas at Austin. He published extensively in the peer review journals and his projects were covered by the New York Times, Time Magazine, San Francisco Chronicle, New Scientist, the BBC, Discovery Channel and Washington Technology.

Sessions

Achieving Autonomous Analytic Capabilities With Integrated Security

Wednesday, May 25th
2:00pm2:30pm

By leveraging data fusion and correlation, modern security command and control systems hosted on edge devices and servers can receive detections and tracks from a variety of sensors such as motion analytics, radars and fence, ground and subterranean sensors. Autonomous commanding of cameras and dispatching unmanned aerial systems and unmanned ground vehicles to go “inspect” the detected targets to automatically verify is key to efficient and cost-effective operation with minimal operator involvement. This robust approach also combines geospatial video analytics with artificial intelligence/deep learning and radar tracks to disambiguate the objects of interest.

Continuous validation of the confidence level of the system through robust ground truth regression testing can eliminate nearly all nuisance alarms while maintaining a very high detection rate. In addition, integration of the Android Team Awareness Kit is becoming a dramatic force multiplier by providing the common operational picture in the hands of government agents and security personnel.