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CS Colloquium| AI : A Causal Approach

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Abstract: We shall look at AI going beyond correlation based  machine learning. We shall examine the framework proposed for the development of  causal intelligent systems. Causal AI provides a distinct  approach to address problems in different domains. This talk will examine how causal AI enables us to develop new approaches for solving problems in the areas of document image analysis, medical computing, and business analytics to construct robust and explainable solutions.

About the Speaker: Santanu Chaudhury is a Professor in the Department of Electrical Engineering at IIT Delhi and Vice-President (Project) in Indian National Academy of Engineering. He did his B.Tech (1984) in Electronics and Electrical Communication Engg and Ph.D (1989) in Computer Science and Engg. from I.I.T, Kharagpur, India. He had been Director, IIT Jodhpur and Director CSIR-Central Electronics Research Institute. He was also Dean, Undergraduate Studies at IIT Delhi. He held a number  of Chair Professor positions at IIT Delhi.

He was awarded INSA medal for young scientists in 1993. He is a fellow of Indian National Academy of Engineers (INAE), The National  Academy of Sciences (NASI) and  International Association of Pattern Recognition (IAPR), Asia-Pacific Artificial Intelligence Association (AAIA). He is also a recipient of Distinguished Alumni Award of IIT Kharagpur. 

He has more than 350 publications in reputed Journals and conference proceedings and  15 patents with technologies commercialised by global industries. His areas of interests are Computer Vision, Artificial Intelligence, AI Applications, Digital Heritage, AR-VR &Multi-sensory media.

We look forward to your active participation.

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