Profile
Dr. Karen Haigh recently left L3Harris where she was an evangelist leading the strategic direction in Artificial Intelligence and Machine Learning. Her leadership and vision for the future has brought together collaborative groups of multidisciplinary teams across the enterprise. She tracks technology and market trends relating to AI, ML, analytics, and data science, and brings her knowledge and experience to bear in creating product and business strategy. In 2007, Karen led a study in DARPA's Information Science and Technology (ISAT) advisory council, providing inputs for DARPA's long-term vision.
Dr. Haigh develops embedded cognitive techniques for complex physical systems. Dr. Haigh was a innovation pioneer in three different fields that are now common across the globe: autonomous vehicles, smart homes for elder care, and cognitive RF systems. She designed and built an optimization and learning system that adaptively learns and suppresses a wide variety of electromagnetic interference. She was one of the team who analyzed the data from Shuttle Colombia after it exploded. She also led an elder-care project that monitored the homes of eleven elders for six months, was the first system of its nature, and led to a strategic acquisition by Honeywell.
Dr. Haigh has led projects starting from initial concept formation and seeing it through to development, testing, and fielding. Her leadership experience with these multi-disciplinary teams, in a heterogeneous technology environment, shows her ability to integrate and interpret customer requirements, influence stakeholders, and create business impact. Karen thrives while developing ideas and has written many proposals to customers, including DARPA, NASA, and NIST. In addition to over 100 publications (https://sites.google.com/site/kzhaigh/home/papers), Karen holds 5 awarded patents and 16 pending patents. She speaks fluent French and good Mandarin Chinese.
Specialties: Strategic Direction; Technology evangelism; Business Strategy; Artificial intelligence; Machine learning; Optimization; Electronic warfare; Cognitive control; Wireless communications and cross-layer design; Predictive analysis; Sensor fusion; Human behavior analysis; System architecture design; Complex systems; Health care monitoring; Computer, ad hoc and sensor networks; Communications networks; Cyber security; Data analytics.
PhD in Computer Science (Artificial Intelligence, Machine Learning, Robotics), CMU 1998
Dr. Haigh is currently looking for her next opportunity to lead innovation and strategy, leveraging Artificial Intelligence and Machine Learning as a foundational core.
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