Speakers - Artificial Intelligence and Machine Learning

The Diamond Jubilee Faculty Alumni Network (FAN) Symposium (US)

Date: Saturday, 13th October 2018

  
 

Prof. Shivaram Kalyanakrishnan - Convener
Assistant Professor
Computer Science and Engineering
IIT Bombay


Educational Qualifications:

  • Indian Institute of Technology Madras. July 2000–July 2004. B.Tech., Computer Science and Engineering
  • University of Texas at Austin. August 2004–December 2011. Ph.D., Computer Science

Research Interests:

  • Prof. Krithi Ramamritham Award for Creative Research for the year 2016, awarded by IIT Bombay, November 2017.
  • Among AI’s 10 to Watch, list published by IEEE Intelligent Systems, January 2016.
  • INSPIRE Faculty Fellowship, awarded by the Government of India, December 2013.
  • Best Student Paper Award, RoboCup International Symposium 2009, Graz, Austria. Paper title: Learning Complementary Multiagent Behaviors: A Case Study.
  • Nominee for Best Student Paper Award, AAMAS 2007, Honolulu, Hawai’i, USA. Paper title: Batch Reinforcement Learning in a Complex Domain.
  • Best Student Paper Award, RoboCup International Symposium 2006, Bremen, Germany. Paper title: Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study.

Awards/ Recognitions:

  • Prof. Krithi Ramamritham Award for Creative Research for the year 2016, awarded by IIT Bombay, November 2017.
  • Among AI’s 10 to Watch, list published by IEEE Intelligent Systems, January 2016.
  • INSPIRE Faculty Fellowship, awarded by the Government of India, December 2013.
  • Best Student Paper Award, RoboCup International Symposium 2009, Graz, Austria. Paper title: Learning Complementary Multiagent Behaviors: A Case Study.
  • Nominee for Best Student Paper Award, AAMAS 2007, Honolulu, Hawai’i, USA. Paper title: Batch Reinforcement Learning in a Complex Domain.
  • Best Student Paper Award, RoboCup International Symposium 2006, Bremen, Germany. Paper title: Half Field Offense in RoboCup Soccer: A Multiagent Reinforcement Learning Case Study.
  • All-India Rank 75, IIT Joint Entrance Examination 2000 (out of approximately 200,000 students).
  • First Rank in high school class of 2000 (of approximately 60), Vidya Mandir Adyar, with a score of 483/500 (Central Board of Secondary Education).
  • Recipient of the National Talent Search scholarship awarded by the Government of India (to the top 0.01% of students), 1999.

Profile:

Shivaram Kalyanakrishnan is an Assistant Professor in the Department of Computer Science and Engineering at IIT Bombay. His research interests include artificial intelligence and machine learning, spanning topics such as sequential decision making, multi-agent learning, multi-armed bandits, and humanoid robotics. Kalyanakrishnan received a Ph.D. in computer science from the University of Texas at Austin. Subsequently he was a Research Scientist at Yahoo Labs Bangalore and an INSPIRE Faculty Fellow at the Indian Institute of Science, Bangalore. His contributions to robot soccer have received two Best Student Paper awards at the annual RoboCup competitions. Kalyanakrishnan was also a member of the first study panel of the One Hundred Year Study on Artificial Intelligence (AI100), which in 2016 released its report titled "Artificial Intelligence and Life in 2030"

Moses Charikar  - Co-convener (US)
Donald E. Knuth Professor and Professor, by courtesy of Mathematics, Department of Computer Science, Stanford University


Educational Qualifications: 
  • B.Tech., Indian Institute of Technology, Bombay, Computer Science and Engineering (1995)
  • Ph.D., Stanford University, Computer Science (2000)

Research Interests:

  • Paris Kanellakis Theory and Practice Award, ACM (2012)
  • Simons Investigator in Theoretical Computer Science, Simons Foundation (2014)
  • 10 year best paper award, VLDB (2017)
  • Best paper award, COLT (2017)
  • Best paper award, FOCS (2003)

Profile:

Moses Charikar is the Donald E. Knuth professor of Computer Science at Stanford University. He obtained his PhD from Stanford in 2000, spent a year in the research group at Google, and was on
the faculty at Princeton from 2001-2015. He is broadly interested in the design and analysis of algorithms with an emphasis on approximation algorithms for hard problems,
metric embeddings and algorithmic techniques for big data. He won the best paper award at FOCS 2003 for his work on the impossibility of dimension reduction, the best paper award at
COLT 2017 and the 10-year best paper award at VLDB 2017. He was jointly awarded the 2012 Paris Kanellakis Theory and Practice Award for his work on locality sensitive hashing, and was named a Simons Investigator in theoretical computer science in 2014.

Pushpak Bhattacharyya - Moderator – AI and ML
Director
IIT Patna


Educational Qualifications:
  • Ph.D., Indian Institute of Technology Bombay, India, 1989-1994.
  • M.Tech, Indian Institute of Technology Kanpur, India, 1986.
  • B. Tech, Indian Institute of Technology Kharagpur, India, 1984.
  • Visiting Research Fellow, Massachusetts Institute of Technology, USA, 1990.
Research Interests:
  • Natural Language Processing
  • Machine Learning
  • Artificial Language
Awards/ Recognitions:

Profile:


Prof. Pushpak Bhattacharyya is the current President of ACL (2016-17). He is the Director of IIT Patna (since 2015) and Vijay and Sita Vashee Chair Professor in IIT Bombay, Computer Science and Engineering Department. He was educated in IIT Kharagpur (B.Tech, 1984), IIT Kanpur (M.Tech, 1986) and IIT Bombay (PhD, 1994). 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 and 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.

Vibhu Mittal - Panellist
CEO, Edmodo

Educational Qualifications:

  • BTech (CS, IITB, 1986)
  • MS (CS, Ohio State, 1987)
  • PhD (CS, USC, 1993)

Awards/ Recognitions:

  • ACM SIGIR Best Paper Award, IEEE Vincent Bendix Award

Research Interests:

  • Education
  • Natural language processing,
  • Machine learning

Profile:


Vibhu Mittal is the CEO of Edmodo, one of the largest K-12 learning networks in the world, with over 90M registered users. Dr. Mittal came to Edmodo when his company Root-1 was acquired by Edmodo in 2013. Root-1 was a mobile platform for language learning. Prior to Root-1, Vibhu worked at Google, where he helped build the first prototypes for Google Translate and Google Scholar. At Google, he also co-founded Google's first remote engineering office, in Bangalore, India. Prior to Google, he worked at Xerox PARC, CMU, University of Pittsburgh and the University of Southern California. He has authored over 100 technical, peer reviewed papers and patents, as well as two books.

Pradeep Ravikumar - Panellist
Associate Professor, Machine Learning Department,
School of Computer Science
Carnegie Mellon University 

Educational Qualifications:

  • PhD in Machine Learning, Carnegie Mellon University;
  • BTech in Computer Science and Engineering, IIT Bombay
Awards and Recognition: 
  • Sloan Research Fellowship,
  • NSF CAREER Award,
  • Siebel Scholarship,
  • Honorable Mention, ACM SIGKDD Dissertation Award,
  • Honorable Mention, CMU School of Computer Science Distinguished Dissertation Award.
Research Interests:
  • Statistical Machine Learning
  • Artificial Intelligence
  • Graphical Models
  • High-dimensional Statistics
  • Optimization
  • Inverse Problems

Bio/ Profile:


Pradeep Ravikumar is an Associate Professor in the Machine Learning Department, School of Computer Science at Carnegie Mellon University. He received his B.Tech. in Computer Science and Engineering from the Indian Institute of Technology, Bombay, and his PhD in Machine Learning from the School of Computer Science at Carnegie Mellon University. He was previously an Associate Professor in the Department of Computer Science, and Associate Director at the Center for Big Data Analytics, at the University of Texas at Austin. His thesis has received honorable mentions in the ACM SIGKDD Dissertation award and the CMU School of Computer Science Distinguished Dissertation award. He is a Sloan Fellow, a Siebel Scholar, a recipient of the NSF CAREER Award, and was Program Chair for the International Conference on Artificial Intelligence and Statistics (AISTATS) in 2013.