9月17日 Chitta Baral:Combining reasoning with machine learning methods for AI tasks and applications


报告人简介:

Chitta Baral is a Professor in Computer Science at the Arizona State University with research experience is in various sub-fields of Artificial Intelligence (AI) such as Knowledge Representation and Reasoning,Natural Language Understanding, and Image Understanding; and their applications to Molecular Biology, Health Informatics and Robotics. Chitta is the author of the book Knowledge Representation, Reasoning and Declarative Problem Solving published by Cambridge University Press. Chitta's research has been funded by various US federal agencies including NSF, NASA, ONR and IARPA. Chitta has been an Associate Editor of Journal of AI Research and is currently an associate Editor of the AI Journal, the two top journals in the field of AI. Chitta has been the Program Co-Chair  (2014) and general chair (2016) for the Knowledge Representation and Reasoning (KR&R) Conference and is the current President of KR Inc. Chitta has published significantly in major AI journals and conferences and has graduated many Ph.Ds in the field of AI. He has given invited talks at major AI conferences including AAAI and KR&R. Some of the AI packages developed by Chitta and his students include NL2KR, a platform to create systems that can translate natural language to targeted formal and logical languages; Kparser, a semantic knowledge parser for natural language text; and DeepQA, a system to reason about biological pathways. In recent years, Chitta's main research agenda has been to show that machine learning and reasoning needs to be combined to develop robust general AI systems.





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