333 Ravenswood Avenue
Menlo Park, CA 94025-3493
Phone: (650) 859-3368
Fax: (650) 859-3735
Dr. Vinay K. Chaudhri is a program director in the Artificial
Intelligence (AI) Center at SRI International. His research focuses on
the science and engineering of large knowledge base systems and spans
knowledge representation and reasoning, question answering, knowledge
acquisition, and innovative applications. His most recent work has
been on creating an intelligent textbook in biology that answers a
student’s questions and leads to significant learning gains. He has
co-edited a volume on the Theory and Application of conceptual
modeling, and two special issues of AI Magazine — one on Question
Answering Systems, and another on Application of AI to Contemporary
and Emerging Education Challenges. He has taught a course on Knowledge Representation and Reasoning at Stanford University.
He holds a Ph.D. in Computer Science from University of Toronto where he was a Connaught Scholar and a Fellow of Massey College. He also holds a Masters in Industrial and Management Engineering from Indian Institute of Technology Kanpur , and a Bachelor’s degree in Mechanical Engineering from National Institute of Technology, Kurukshetra .
The goal of SHAKEN project is to enable subject matter experts , without any assistance from AI technologists, to assemble the models of processes and mechanisms so that questions about them can be answered by declarative inference and simulation.
The goal of the project is to demonstrate the current state-of-the-art in knowledge representation by attempting to answer the questions in an advance placement test in chemistry.
The goal of this project is to build a generic knowledge acquisition capability for Physics, Chemistry, and Biology. Using the system, the scientists will be able to formulate their knowledge in the three science domains, and the high school students will be able to pose Advanced-Placement style questions and get user appropriate explanations.
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 goal of the project is to enable rapid construction of knowledge bases by knowledge engineers.
The Goal of this project is to develop knowledge base tools that can be used with multiple knowledge representation systems.
The AURA system enables graduate students in Physics, Chemistry, and Biology to author knowledge from a science textbook, and support high school students to formulate questions against that knowledge to obtain answers.
The following are in reverse chronological order of publication.
Showing most recent 5 out of 101 [View All]
Vinay K. Chaudhri and Nikhil Dinesh and Eva Banik and Umangi Oza. English Generation from a Knowledge Base and Overly General Classes, in Proceedings of the Florida AI Research Society, 2015. [PDF, Details]
Vinay K. Chaudhri and Daniel Elenius and Andrew Goldenkranz and Allison Gong and Maryann E. Martone and William Webb and Neil Yorke-Smith. Comparative Analysis of Knowledge Representation and Reasoning Requirements Across a Range of Life Sciences Textbooks. Journal of Biomedical Semantics, vol. 5, no. 51, December 2014. [PDF, Details]