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Menlo Park, CA 94025-3493
Phone: (650) 859-4411
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Home Page: http://www.ai.sri.com/~gervasio
Melinda Gervasio, Ph.D., is a Principal Scientist in the Artificial Intelligence Center at SRI International, where she is focused on developing technology that combine combines human and machine intelligence. Her research interests include intelligent assistants, machine learning for autonomous agents, adaptive personalization, interactive machine learning, end-user programming, and intelligent training systems. As the technical lead on a number of government-funded projects, Gervasio has developed technologies for learning from demonstration, adaptive assistance, proactive decision support, and recommendation for informal learning. Before joining SRI, Gervasio co-founded MindShadow, where she played a key technical role in the development of a software platform for personalized, content-based recommendation. She was also a research scientist at the Institute for the Study of Learning and Expertise, where she worked on adaptive personalization. Gervasio has a Ph.D. in Computer Science from the University of Illinois at Urbana-Champaign and a B.S. in Computer Science from the University of the Philippines Diliman.
PACT seeks to support coordination of mixed-autonomy teams that combine both autonomous platforms and humans for integrated problem solving.
As part of DARPAs Personalized Assistant that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).
The Integrated Learning project is focused on developing machine learning technology that would enable a system to learn general planning knowledge from user demonstrations of processes.
The SAVE framework supports training in virtual environments through automated assessment of learner performance and tools for content authoring.
The TransPAL project is transitioning a number of technologies developed on the DARPA PAL program for use by various members of the Armed Services.
The following are in reverse chronological order of publication.
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Christian Greuel and Karen Myers and Grit Denker and Melinda Gervasio. Assessment and Content Authoring in Semantic Virtual Environments. Proceedings of the Interservice/Industry Training, Simulation and Education Conference (I/ITSEC), 2016. [PDF, Details]
Karen Myers and Melinda Gervasio. Solution Authoring via Demonstration and Annotation: An Empirical Study, in Proceedings of the 16th IEEE International Conference on Advanced Learning Technologies (ICALT), 2016. [PDF, Details]
Myers, K. and Gervasio, M. and Jones, C. and McIntyre, K., and Keifer, K. Drill Evaluation for Training Procedural Skills, in Proceedings of the 16th International Conference on Artificial Intelligence in Education (AIED 2013), Springer, pp. 561-570, 2013. [PDF, Details]
Myers, K. and Kolojejchick, J. and Angiolillo, C. and Cummings, T. and Garvey, T. and Gaston, M. and Gervasio, M. and Haines, W. and Jones, C. and Keifer, K. and Knittel, J. and Morley, D. and Ommert, W. and Potter, S. . Learning by Demonstration for a Collaborative Planning Environment. AI Magazine, vol. 33, no. 2, pp. 15-27, 2012. [PDF, Details]
Berry, P. M. and Gervasio, M. and Peintner, B. and Yorke-Smith, N. PTIME: Personalized assistance for calendaring. ACM Transactions on Intelligent Systems and Technology, vol. 2, no. 4, pp. 40:1-40:22, July 2011. [PDF, Details]