Our Bureau
Norman, OK
The University of Oklahoma (OU) in a bid to expand AI-driven innovation at the university and further a commitment to providing students with a leading AI education, has named Shishir Shah, Ph.D., as the first university-wide Chief Artificial Intelligence Officer, pending OU Regents’ approval.
Shah’s arrival comes at a defining moment for the university, as OU deepens its focus on AI as a key priority of the “Lead On, University: The Next Phase” Strategic Plan. By advancing university-wide strategy in AI innovation, research, education and implementation, Shah will lead a charge to reimagine curriculum and academic opportunities to integrate AI across the student educational experience, guaranteeing that OU graduates enter the workforce as literate and responsible AI-users able to leverage the technology for maximum impact.
OU’s Data Institute for Societal Challenges, which develops convergent research teams to make advances in data science, AI and machine learning, recently announced the award of nearly $200,000 in pilot seed funding to 20 AI-focused projects touching on topics from legal education to clinical imaging reports.
Under Shah’s leadership, OU is poised to strengthen its role at the forefront of ethical and transformative uses of AI, expanding its global impact and capacity to address society’s most complex challenges.
Shah’s research expertise concentrates on computer vision and machine learning, and he is an expert in person re-identification, human motion and behavior analysis, and microscope image analysis. His recent work addresses real-world AI challenges, pushing the boundaries of adaptive, intelligent systems in complex environments.
“The University of Oklahoma is at the forefront of harnessing artificial intelligence to solve complex problems and drive meaningful change,” said OU President Joseph Harroz Jr. “Dr. Shah’s appointment signals a bold step forward in strengthening this commitment and accelerating our leadership in the field.”
Shah comes to OU from the University of Houston, where he served as Professor and Chair of the Department of Computer Science. He founded and led UH’s Quantitative Imaging Laboratory, which focuses on developing advanced image and video analysis tools that support complex decision making. He earned a B.S. in mechanical engineering, M.S. and Ph.D. in electrical and computer engineering from the University of Texas at Austin. Prior to joining the University of Houston in 2005, he served as a faculty member at Wayne State University before transitioning to leadership roles in two startup companies.
In addition to this appointment, Shah will join the Gallogly College of Engineering as Director of the School of Computer Science. He will report jointly to the Senior Vice President and Provost of both the OU Norman and OU Health Sciences campuses.
