Scientific Systems
Adriano Garcia, PhD, is a Senior Research Engineer II at Scientific Systems since June 2020, specializing in Deep Learning-based object detection, classification, and recognition, while serving as a Subject Matter Expert on Automatic Target Recognition systems. Prior to this role, Adriano worked at Binghamton University from January 2011 to June 2020 as an Autonomous Vehicle Researcher, developing structural object detection algorithms with Convolutional Neural Networks for autonomous navigation. Adriano also held multiple Graduate Teaching Assistant positions at Binghamton University, instructing on programming languages, systems programming, and computer architecture. Additionally, Adriano gained experience as a Software Development Engineer intern at Amazon and Interos LLC, focusing on feature development and communication frameworks. Adriano earned a Ph.D. in Computer Science from Binghamton University in 2019, along with a Master's degree in 2014 and a Bachelor's degree in 2011.
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Scientific Systems
Architects of Autonomy Noted technologies such as autonomy, artificial intelligence, machine learning and computer vision are rightfully touted for their enabling potential for national defense and scientific exploration. At Scientific Systems, we develop and holistically connect these technologies together to provide disruptive, offsetting capabilities for unmanned systems, enabling them to make intelligent decisions and collaborate across the domains of space, air, land, and sea. We’ve spent the past 40 years pioneering innovations, including advancements in mission autonomy, for all branches of the U.S. military, DARPA, NASA and more.