Applied Signal Technology
Trevor Dalke is a Senior Embedded DSP Software Engineer at Applied Signal Technology, where responsibilities include developing embedded applications for the TI C6678 real-time multicore embedded DSP and leading teams of DSP engineers to design and integrate wireless algorithms. Experience includes an internship at Cisco Systems as a Board Design Engineer Intern, where modifications were made to the IO board for the Nexus 2000 switch, and programming PSoC fan control. Additional internships at Aera Energy LLC, Pacific Gas and Electric Company, Sunview Vineyards of California Inc., and Kern Tulare Water District provided foundational experience in engineering calculations, electrical equipment testing, and IT support. Trevor Dalke holds both a Master of Science and a Bachelor of Science in Electrical Engineering from California Polytechnic State University-San Luis Obispo.
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.