Michael Hind  Michael Hind photo         

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Academy of Technology LogoDistinguished Research Staff Member
IBM Research AI, IBM Thomas J. Watson Research Center, Yorktown Heights, NY USA


Professional Associations

Professional Associations:  ACM SIGPLAN


Michael Hind is a Distinguished Research Staff Member in the IBM Research AI department at the T.J. Watson Research Center in Yorktown Heights, New York.

Michael received his Ph.D. from New York University in 1991. From 1991 to 1993 he was a postdoc at IBM Research, working on PTRAN (automatic parallelization) and other projects. From 1992-1998, Michael was an assistant and associate professor of computer science at the State University of New York at New Paltz, as well as holding various positions at IBM Research. In 1998, Michael became a Research Staff Member in the Software Technology Department at the IBM T.J. Watson Research Center, working on the Jalapeno project, the project that produced the open source Jikes RVM, a self-optimizing Java virtual machine. In 2000 and 2007, he became the manager of the Dynamic Optimization Group and Senior Manager of the Programming Technologies Department at IBM Research, respecitively.  In 2014, he became a Distinguised Research Staff member, as well as his existing mangement position, and in 2016 became the Senior Manager of the Cognitive Software Lifecycle Department at IBM Research.  In 2017, he became passionate about Explainability and Bias of AI and is now focusing on these topics full time.

Michael is an ACM Distinguished Scientist, a member of the IBM Academy of Technology, a former associate editor of ACM TACO, and a past member of ACM SIGPLAN's Executive Committee.  He has served on over 30 program committees, given talks at top universities and conferences, and co-authored over 40 publications. He received a SIGPLAN Most Influential Paper award (for his OOPSLA 2000 paper) and was part of the Jikes RVM team that received the SIGPLAN Software Award in 2012. His research interests include explainability and bias in AI and larger societal implications for AI, the software lifecycle for creating, deploying, and maintain AI applications, programming models and their implementations, static and dynamic development tools, and middleware for emerging commercial paradigms.


Publications, Awards and Other Activities, Invited Presentation, Tutorials and Courses, Program Committees

Awards, Services, and Other Activities


Invited Talks


Tutorials and Courses


Program Committees