David Sidoti

David Sidoti received the B.S., M.S., and Ph.D. degrees from the University of Connecticut, Storrs, CT, USA, 2011, 2016, and 2018, respectively, all in electrical and computer engineering. Since 2018, he has been a Computer Scientist with the Meteorological Applications Development Branch, Marine Meteorology Division, U.S. Naval Research Laboratory, Monterey, CA, USA. He is an NRLMMD's primary Machine Learning subject matter expert and contributes to a broad portfolio of Machine Learning projects relating to atmospheric and oceanographic forecasting. He was also responsible for transitioning several software for waterspace allocations and undersea munitions deployments operations to Program Executive Office—Integrated Warfighting Systems 5 Echo. He has authored or coauthored three book chapters, 30 journal articles, and 34 conference papers. Dr. Sidoti was a corecipient of the Tammy Blair Award for best student paper at 2016 International Conference on Information Fusion. He was recognized and awarded a Distinguished Scholar Jerome and Isabella Karle's Fellowship upon joining U.S. Naval Research Laboratory in 2018. In 2022, he received the Assistant Secretary of the Navy Research, Development, and Acquisition's Dr. Delores M. Etter Top Scientists and Engineers of the Year 2022 Emergent Scientist Investigator Award for his transitioned undersea optimization work.