Applied Signal Technology
Patti Henneke has a diverse range of work experience in human resources. Patti started their career in 1996 as VP HR at BEA Systems, where they played a crucial role in guiding the HR organization through transformation and partnership initiatives. In 2009, they worked as an Associate Trainer & Coach at Lee Hecht Harrison before joining Raytheon Applied Signal Technology as an HR Director. In this role, they supported leadership VPs, integrated Applied Signal Technology into Raytheon Corporation, and provided a full range of HR business services. Finally, they joined Ruckus Networks in 2013 as the Senior Director of Human Resources. The summary highlights their extensive experience in HR leadership, organizational development, and employee relations.
Patti Henneke holds a BSC degree in Marketing from Santa Clara University. No specific information regarding the duration of their education or any other educational opportunities has been provided.
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.