Zeynep Tufekci

Zeynep Tufekci is an associate professor at the University of North Carolina, and a contributing writer at the New York Times and the Atlantic. Her research revolves around how society and technology interacts, with a focus on the public sphere as well as complex societal problems.

Farid Moussa

Farid Moussa is a senior product manager at Basis Technology. He recently retired from the National Security Agency as a member of the Senior Executive Service cadre. In his last position with the government he led the Video, Image, Speech and Text Analytics (VISTA) effort. Having guided language analysis teams for the counterterrorism target set in the post-9/11 era, he developed a deep appreciation for Human Language Technology and its role in prosecuting the mission. Over the past 15 years he drove the development of several VISTA service capabilities, empowering over ten thousand analysts within the U.S. Intelligence Community. Farid was a two-time keynote speaker at the Massachusetts Institute of Technology / Lincoln Lab biannual Human Language Technology Applications conference. He is a recipient of the Presidential Rank Award of Distinguished Rank.

Joe Campbell

Dr. Joseph P. Campbell is the leader of the Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratories. His group creates algorithms, technologies, and systems for extracting information from multimedia data in adverse conditions and has a rich heritage of world-leading speech, speaker, and language recognition technologies. Dr. Campbell is passionate about developing human-network AI technologies that extract information automatically from speech, text, image, and video data combined with network communications and activities to help the Department of Defense and law enforcement identify threatening or illicit activity on the surface and dark webs. He specializes in developing and transferring AI technologies for government applications and operationally relevant evaluation.

Dr. Campbell has written more than 100 refereed publications cited over 6,600 times. His invited tutorial on speaker recognition, published in the Proceedings of the IEEE has received more than 2,150 citations. He holds one U.S. patent and led two U.S. Federal Standards, one Federal Information Processing Standard, and one NATO Standardization Agreement.

Dr. Campbell is a member of the Advisory Board for the Human Language Technology Center of Excellence at Johns Hopkins University, a co-chair of the Speaker and Language Characterization Special Interest Group of the International Speech Communication Association, and co-chair of the MIT Lincoln Laboratory Professional Societies Committee.

View Dr. Campbell’s full bio here.

Danelle Shah

Dr. Danelle Shah is an Assistant Group Leader in the Artificial Intelligence Technology and Systems Group at MIT Lincoln Laboratory. Her research background is in machine learning, artificial intelligence, and human-machine interaction. Danelle joined Lincoln Laboratory in 2012 and has since been involved in a variety of programs with foci including pattern analysis and anomaly detection; multi-intelligence analytics for anti-access/area denial (A2/AD); humanitarian assistance and disaster response (HA/DR); and open-source data exploitation.  She is also actively involved with education and outreach initiatives.

Dr. Shah has coauthored more than 20 publications, was awarded the 2019 Early Career Technical Achievement Award at MIT Lincoln Laboratory, and was invited to be one of 100 early-career engineers from industry, universities, and government labs to participate in the 2019 U.S. Frontiers of Engineering Symposium. She is a member of the Institute of Electrical and Electronics Engineers (IEEE), Society of Women Engineers (SWE), and Military Operations Research Society (MORS). Danelle currently helps lead the Laboratory’s Artificial Intelligence Technology and Systems Group, which specializes in the development of AI systems leveraging signals processing, machine learning, graph analytics, and natural language processing.

Doug Reynolds

Dr. Douglas Reynolds is a Senior Member of the Technical Staff at MIT Lincoln Laboratory and is currently on IPA assignment as Technical Director in the Video, Image, Speech, and Text Analytics (VISTA) Research Office at NSA. In this role, Doug provides strategic direction, technical advice and promotes rigorous evaluation driven research and development for VISTA research projects. Doug has been involved in speech research at Lincoln for many USG sponsors for over 30 years, has over 200 publications, is a Fellow of the IEEE, and recipient of the 2016 MIT Lincoln Laboratory Technical Excellence Award.

Dr. Catherine Havasi

Dr. Catherine Havasi is a technology strategist, artificial intelligence researcher, and entrepreneur. In the late 90s, she co-founded the Common Sense Computing Initiative, or ConceptNet, the first crowd-sourced project for artificial intelligence and the largest open knowledge graph for language understanding. ConceptNet has played a role in thousands of AI projects and will be turning 20 next year. She is a co-founder and Chief Strategy Officer at Luminoso, which helps companies get value from customer service data. She was honored as one of Fast Company’s 100 Most Creative People in business. She is currently a visiting scientist at the MIT Media Lab where she works on computational creativity and previously directed the Digital Intuition group at the Media Lab. She did her PhD at Brandeis University with James Pustejovsky.