Haym Hirsh

Professor in the Departments of Computer Science and Information Science at Cornell University

Biography

Haym Hirsh is a Professor in the Departments of Computer Science and Information Science at Cornell University. His research has focused on foundations and applications of machine learning, data mining, information retrieval, and artificial intelligence, especially targeting questions that integrally involve both people and computing. Most recently these interests have turned to crowdsourcing, human computation, and collective intelligence. Haym received his BS from the Mathematics and Computer Science Departments at UCLA and his MS and PhD from the Computer Science Department at Stanford University. Prior to moving to Cornell in 2013 Haym spent 24 years on the Computer Science faculty at Rutgers University, and has had visiting positions at AT&T Labs, Bar-Ilan University, Carnegie Mellon University, MIT, and the University of Zurih. From 2006-2010 he served as Director of the Division of Information and Intelligent Systems at the National Science Foundation.

Research Interests

  • artificial intelligence, collective intelligence, crowdsourcing, data mining, human computation, information retrieval, machine learning

  • Artificial Intelligence

  • Data Mining

  • Statistics and Machine Learning

Education

  • BS(Mathematics-Computer Science),University of California, Los Angeles,1983
  • MS(Computer Science: Artificial Intelligence),Stanford University,1985
  • Ph D(Computer Science),Stanford University,1989

Selected Publications

  • Upchurch, Paul, Daniel Sedra, Andrew Mullen, Haym B. Hirsh, Bala Kavita. 2016."Interactive Consensus Games for Labeling Images."Proceedings of the Fourth AAAI Conference on Human Computation and Crowdsourcing
  • Michelucci, P., L. Shanley, J. Dickinson, Haym B. Hirsh, and Workshop Participants. 2015."A U.S. Research Roadmap for Human Computation Computing Community Consortium Technical Report".
  • Gil, Y., M. Greaves, J. Hendler, H Hirsh. 2014."Amplify scientific discovery with artificial intelligence."Science346(6206): 171-172.
  • McDonald, D W., D H. Ackley, R. Bryant, M. Gedney, H. Hirsh, L Shanley. 2014."Antisocial computing."interactions21(6): 72-75.
  • Ertekin, Ş, C. Rudin, H Hirsh. 2014."Approximating the crowd."Data Mining and Knowledge Discovery28(5-6): 1189-1221.

Read about executive education

Other experts

Looking for an expert?

Contact us and we'll find the best option for you.

Something went wrong. We're trying to fix this error.