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Dr Vinay K Chaudhri

Dr Vinay K Chaudhri

Program Director
Artificial Intelligence Center

SRI International
Room EJ211
333 Ravenswood Avenue
Menlo Park, CA 94025-3493
USA

Phone:  (650) 859-3368
Fax: (650) 859-3735

Email: 

Biography and Interests

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 .

Past Projects

SHAKEN

A Knowledge Entry System for Subject Matter Experts

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.

Halo Pilot

A System for Representing Textbook Knowledge

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.

AURA

Automated User-Centered Reasoning and Acquisition System

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.

CALO

Cognitive Assistant that Learns and Organizes

As part of DARPA’s Personalized Assistant that Learns (PAL) program, SRI and team members are working on developing a next-generation "Cognitive Agent that Learns and Organizes" (CALO).

HPKB

High Performance Knowledge Bases

The goal of the project is to enable rapid construction of knowledge bases by knowledge engineers.

KB and Ontology Development

Reusable Tools for Knowledge Base and Ontology Development

The Goal of this project is to develop knowledge base tools that can be used with multiple knowledge representation systems.

Software

AURA: Automated User-Centered Reasoning and Acquisition System

AURA: Automated User-Centered Reasoning and Acquisition System

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.

Publications

The following are in reverse chronological order of publication.
Showing most recent 5 out of 95 [View All]

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