Research at RAISE@UCR is structured around three core pillars: AI Foundations, AI Applications, and AI Education. The institute brings together distinguished faculty from across all UCR colleges and schools, each contributing unique expertise to advance the frontiers of Artificial Intelligence.
AI Foundations
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Machine Learning and Perception
Machine Learning
Thrust Lead: Vagelis Papalexakis (Computer Science and Engineering, BCOE)
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Robotics and Embodied AI
Robotics and Embodied AI
Thrust Lead: Konstantinos Karydis (Electrical and Computer Engineering, BCOE)
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Systems and Security
Systems and Security
Thrust Lead: Srikanth Krishnamurthy (Computer Science and Engineering, BCOE)
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Scientific Computing
Scientific Computing
Thrust Lead: Mark Alber (Mathematics, CNAS)
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Agriculture, Environmental, and Geospatial Sciences
Agriculture, Environmental, and Geospatial Sciences
Thrust Lead: Hoori Ajami (Environmental Sciences, CNAS)
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Physical Sciences
Physical Sciences
Thrust Lead: Chia-en Chang (Chemistry, CNAS)
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Bioinformatics and Biomedical Sciences
Bioinformatics and Biomedical Sciences
Thrust Lead: Monica Carson (Biomedical Sciences, SOM)
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Public Health
Public Health
Thrust Lead: Mario Sims (Social Medicine, Population and Public Health, SOM)
- Social Sciences
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Economics and Business
Economics and Business
Thrust Lead: Gloria Gonzalez-Rivera (Economics, CHASS)
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Education and Outreach
Education and Outreach
Thrust Lead: Mariam Salloum (Computer Science and Engineering, BCOE)
Internal Steering Committee
Our Team
Our institute is composed of distinguished faculty across all UCR colleges and schools. Each member brings unique expertise and a commitment to pushing the frontiers of AI research.
Social Sciences
Thrust Lead: Kevin Esterling (Political Science, CHASS)
Ian Ballard
Richard Carpiano
Michalis Faloutsos
Diogo Ferrari
Nicholas Napolio
Eric Schwitzgebel