IMPORTANT :     THE NOTIFICATIONS OF PAPERS ARE ALREADY SENT TO THE AUTHORS ::      LIKE PREVIOUS YEARS, THE CONFERENCE PROCEEDING OF COMPUTE-2k17 WILL BE PUBLISHED BY ACM DIGITAL LIBRARY

The KEYNOTE SPEAKERS

Prof Pushpak Bhattacharya

Director
Indian Iinstitute of Technology, Patna



Prof. Pushpak Bhattacharyya is the recent past President of ACL (2016-17). He is the Director of IIT Patna and Vijay and Sita Vashee Chair Professor in IIT Bombay, Computer Science and Engineering Department. He was educated in IIT Kharagpur (B.Tech), IIT Kanpur (M.Tech) and IIT Bombay (PhD). He has been visiting scholar and faculty in MIT, Stanford, UT Houston and University Joseph Fouriere (France). Prof. Bhattacharyya’s research areas are Natural Language Processing, Machine Learning and AI. He has guided more than 250 students (PhD, masters and Bachelors), has published more than 250 research papers and led government and industry projects of international and national importance. A significant contribution of his is Multilingual Lexical Knowledge Bases and Projection. Author of the text book ‘Machine Translation’ Prof. Bhattacharyya is loved by his students for his inspiring teaching and mentorship. He is a Fellow of National Academy of Engineering, Eminent Engineer awardee of Institute of Engineers India, recipient of Patwardhan Award of IIT Bombay and VNMM award of IIT Roorkey- both for technology development, and faculty grants of IBM, Microsoft, Yahoo and United Nations

Prof Y. NARAHARI

Indian Institute of Science, Bangalore
Professor, Department of Computer Science and Automation
Chairman, Division of Electrical Sciences


Prof. Y. NARAHARI studied in IISc, Bangalore (BE, ME, and PhD) and was an Indo-US Science and Technology Post-Doctoral Fellow in the Massachusetts Institute of Technology, Cambridge, USA, in 1992. He is currently a J.C. Bose National Fellow. His book "Game Theory and Mechanism Design" was recently published by the IISc Press and the World Scientific Publishing Company. Prof. Narahari works in applying game theory and mechanism design to design algorithms that work in the presence of strategic agents. In particular, his current research is focused on mechanism design for multi-armed bandit problems, crowdsourcing, online education, Internet advertising, and blockchain based systems. His recent collaborative R & D projects include: Incentive Design for Enhancing Efficiency and Participation in Online Education (IBM Research); Influence Maximization in the Presence of Strategic Competing Campaigns (Adobe Research Labs, Bangalore); Incentive Compatible Machine Learning (Xerox Corporation) and Intelligent Mechanisms and Algorithms for Carbon Economics (Infosys Technologies, Bangalore). He is an elected Fellow of the IEEE; Indian National Science Academy; Indian Academy of Sciences; Indian National Academy of Engineering; and the National Academy of Sciences

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