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RAISE@UCR

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Grants

Grants by Year
 

2025

  • DARPA: “SmoothSec: Scalable and Modular Analysis for Graph-based Exploit Generation”; PI: Srikanth V. Krishnamurthy, co-PIs: Zhiyun Qian, Chengyu Song, Trent Jaeger, Heng Yin; 2025–2028.
     

  • DoD Center of Excellence: “Adaptive Autonomous and Secure Heterogeneous Integrated Systems (AASHI)”; Co-Directors: Amit Roy-Chowdhury (PI), Srikanth V. Krishnamurthy. Senior Personnel: Emiliano De Cristofaro, Michalis Faloutsos, Bahar Guler, Yufei Hua, Xuehai Qian, Hang Qiu, Zhaowei Tan; 2025–2029.
     

  • NSF: “Adapting Foundation Models for Multimodal Sequential Decision Making: New Focuses, Formalisms, and Methods”; PI: Yinglun Zhu (Lead Institution: Univ. of South Carolina); 2025–2027.
     

  • NSF: “Learning for Safe and Secure Operation of Grid-Edge Resources”; PI: Hamed Mohsenian-Rad (Collaboration with UCSB); 2025–2027.
     

  • NSF: “ACED: Multi-Fidelity Markov Chain Monte Carlo for Cosmology”; PI: Christian Shelton, co-PI: Simeon Bird; 2025–2027.
     

  • NSF: “Securing Machine Learning from Threats Exploiting Unused Model Parameters”; PI: Nael Abu-Ghazaleh; 2025–2028.
     

  • NSF: “Improving de novo genome assembly using single-copy k-mers”; PI: Stefano Lonardi; 2025–2028.
     

  • NIH R01: “Causal and Event-Based Modeling of Brain Alterations in ADRD”; PI: Greg Ver Steeg (Collaboration with USC); 2025–2029.
     

  • NIH R01: “Federated Deep Learning to Accelerate Alzheimer's Disease Research”; PI: Greg Ver Steeg (Collaboration with USC); 2025–2029.
     

  • DoE: “Geophysicist.AI: A Foundation Model to Address Multiphysics Challenges in Coupled Subsurface Processes”; PI: Abhijit Ghosh, co-PI: Maziar Raissi (Lead Institution: UCI); 2025–2028.
     

  • UCR OASIS: “Transforming geothermal energy sustainability and earthquake monitoring in the Salton Sea region: an AI-based approach”; PI: Abhijit Ghosh, co-PI: Salman Asif; 2025–2026.
     

  • Statewide California Earthquake Center: “Decoding Complex Rupture Propagation in Branch Fault Systems of the San Andreas Fault: A Machine Learning Approach with Physics-Based Multi-Cycle Simulations”; PI: Abhijit Ghosh, co-PIs: David Oglesby, Roby Douilliy; 2025–2026.

2024

  • NSF: “Development and Application of Multi-scale Modeling to Biomolecular Association”; PI: Chia-en Chang; 2024–2027.
     

  • NSF: "Frameworks: Deep Learning Cyber-Infrastructure for the Exploration of High Dimensional Multimodal Data"; PI: Amit Roy-Chowdhury (Lead Institution: Univ. of California, Santa Barbara); 2024-2029.
     

  • NIFA (National Institute of Food and Agriculture): “EbeeVet: An Electronic Bee-Veterinarian Framework to Secure Honey Bees”; PI: Hyoseung Kim, co-PIs: Boris Baer, Vassilis Tsotras (Collaboration with Carnegie Mellon University); 2024–2027.
     

  • University of California, Office of the President: “Reusable Teaching Models for Generative AI”; co-PI Eric Schwitzgebel (Collaboration with UC Merced); 2024–2025.
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