Applied Signal Technology
Jonathan Wintrode is an accomplished engineering fellow at Applied Signal Technology, specializing in Human Language Technology research and development since May 2016. Prior experience includes a role as a researcher for the US Government from August 2003 to May 2016, where robust analytic architectures for large volume speech processing were developed, along with extensible interfaces for rapid algorithm prototyping. Earlier, from May 2000 to June 2003, Jonathan served as a developer at Idealab, creating prototypes and software applications, including distributed data mining algorithms for competitive analysis. Jonathan holds a PhD in Computer Science from The Johns Hopkins University (2009-2016), a Master of Science in Computer Science from the Naval Postgraduate School (2003-2005), and a Bachelor's degree in Computer Science from Harvard University (1996-2000).
Applied Signal Technology
Applied Signal Technology, Inc. (AST) (NASDAQ: APSG) is a full-service intelligence, surveillance, and reconnaissance (ISR) provider, serving national priorities in defense, intelligence, and homeland security with over $200 million in annual revenues. AST is an innovation center, bringing cutting-edge science and engineering together to enhance global security. We provide expertise in the areas of signals intelligence (SIGINT), broadband communications, cyber security, and sensor signature processing. Our SIGINT competencies include communications intelligence (COMINT) and electronic intelligence (ELINT). Our broadband communication technology enables secure high speed communication networks. Our cyber security activities include network monitoring, intrusion detection, and countermeasures. Our remote sensing expertise includes processing information from electro-optic, sonar, radar, magnetic, and seismic sensors to detect changes in the environment and provide real-time alerts of potential threats. We specialize in the collection, processing, and understanding of signals for ISR missions with low size, weight, and power (SWAP) configurations to enable increased deployment on unmanned platforms.