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Ramayya Krishnan to lead new AI research center at Carnegie Mellon University
Krishnan, a renowned figure in the fields of management science and information technology, emphasized the importance of creating robust frameworks for AI evaluation.
Ramayya Krishnan / Image- Carnegie Mellon University
Indian American scholar and dean of Carnegie Mellon University’s Heinz College of Information Systems and Public Policy, Ramayya Krishnan will head a new AI research initiative at the university funded by a $6 million award from the National Institute of Standards and Technology (NIST).
The AI Measurement Science and Engineering Cooperative Research Center (AIMSEC) will focus on advancing safe and reliable AI systems for industries such as finance, transportation, and energy.
Krishnan, a renowned figure in the fields of management science and information technology, emphasized the importance of creating robust frameworks for AI evaluation. “AIMSEC will work closely with stakeholders to develop tools and standards that ensure AI systems are trustworthy and secure across various sectors, from finance to transportation,” he said. Krishnan also highlighted the significance of this research for AI's broader societal impact.
Born in Pittsburgh, Pennsylvania, Krishnan holds a bachelor's degree in mechanical engineering from the Indian Institute of Technology, Madras, as well as a master’s degree in industrial engineering and operations research, and a Ph.D. in management science and information systems from the University of Texas at Austin. He is also a past president of the Institute for Operations Research and Management Science (INFORMS), further establishing his leadership in the field.
The NIST award, announced by U.S. Secretary of Commerce Gina Raimondo on Sept. 24, supports Carnegie Mellon’s efforts to advance AI research and testing. “Artificial intelligence is a transformative technology, and it is crucial that we collaborate with institutions like Carnegie Mellon to ensure its responsible development,” Raimondo said. “This investment will strengthen the nation’s AI capabilities.”
AIMSEC will collaborate with CMU’s existing centers, including the Block Center for Technology and Society and the Software Engineering Institute (SEI), to develop AI measurement methodologies and best practices. The center will address key issues such as privacy, security, and fairness in AI systems, aligning with NIST’s broader goals for advancing AI.
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