James Hendler is the Director of the Institute for Data Exploration and Applications and the Tetherless World Professor of Computer, Web and Cognitive Sciences at RPI. He also heads the RPI-IBM Center for Health Empowerment by Analytics, Learning and Semantics (HEALS) and serves as a Chair of the Board of the UK’s charitable Web Science Trust.
One of the originators of the “Semantic Web,” Hendler was the recipient of a 1995 Fulbright Foundation Fellowship, is a former member of the US Air Force Science Advisory Board, and is a Fellow of the AAAI, BCS, the IEEE, the AAAS and the ACM. He is also the former Chief Scientist of the Information Systems Office at the US Defense Advanced Research Projects Agency (DARPA) and was awarded a US Air Force Exceptional Civilian Service Medal in 2002. He is also the first computer scientist to serve on the Board of Reviewing editors for Science.
In 2010, Hendler was named one of the 20 most innovative professors in America by Playboy magazine and was selected as an “Internet Web Expert” by the US government. In 2013, he was appointed as the Open Data Advisor to New York State and in 2015 appointed a member of the US Homeland Security Science and Technology Advisory Committee. In 2016, became a member of the National Academies Board on Research Data and Information and in 2018 became chair of the ACM’s US technology policy committee and was elected a Fellow of the National Academy of Public Administration.
Ph.D., Computer Science, Artificial Intelligence, Brown University
Sc.M., Computer Science, Artificial Intelligence, Brown University
M.S., Cognitive Psychology, Human Factors Engineering, Southern Methodist University
B.S., Computer Science, Artificial Intelligence, Yale University
Summer 2021 brings several paid opportunities to work on cutting edge AI-Security research project. Preferable to have experience (course or internship) in Machine Learning, NLP, Text Corpus Annotation, Python. This position will not require in-person interaction.
George Slota has been has been granted a prestigious National Science Foundation Faculty Early Career Development (CAREER) award to develop approaches that match exascale supercomputers with petascale data.