2023 - 2024 Awarded Projects
2022 - 2023 Awarded Projects
Combining DEFI & AI for Intelligent Credit Scoring
Transforming the decentralized finance landscape and alleviating transaction risk via quantifying participant’s credit
Project team: Leandros Tassiulas - Electrical Engineering, with Georgios Palaiokrassas, Jason Ofeidis, Aosong Feng, and Dr. Farooq Anjum
CRAIG: Computed Radiology Reporting with AI-assisted Generation
AI-assisted radiology report simplification & summarization
Project team: Arman Cohan - Computer Science / Sophie Chheang - Clinical Radiology and Biomedical Imaging (Co-PIs)
Deep learning for quantification of lower extremity flow & viability
Project team: Albert Sinusas, MD - Biomedical Engineering, with Chi Liu, Carlos Mena, Kim Smolderen, Stephanie Thorn, Xenophon Papademetris
Disaggregated Clouds
Cost-effective and performant cloud platform and a radically new network-centric OS to manage it
Project team: Anurag Khandelwal - Computer Science, with Grace Jia, Seung-seob Lee, Ziming Mao, Yupeng Tang, Yanpeng Yu
Lagrange
Non-interactive cross-chain state proofs
Project team: Charalampos Papamanthou - Computer Science, with Amir Rezaizadeh, co-founder and Ismael Hishon-Rezaizadeh, co-founder
Moir AI Sciences
Controlling cellular dynamics with artificial intelligence
Project team: Smita Krishnaswamy - Computer Science & Genetics, with Christine Chaffer, Manik Kuchroo
Physics_Based Algorithm MRI
Inexpensive large-scale AI for prostate cancer using MR physics
Project team: Gigi Galiana & Hemant Tagare - Radiology & Biomedical Imaging and Biomedical Engineering (Co-PIs), with Jeff Weinreb, John Onofrey
SNIP / SNAP
User-centric presentation of hybrid information using large language models
Project team: Dragomir Radev - Computer Science, with Yixin Liu, Linyong Nan, Yujie Qiao, Wenfei Zhou
ZIPNet
Anonymous Broadcast Made Practical with TEEs
Project team: Fan Zhang - Computer Science, with and Ian Miers (Asst. Prof at UMD)
ZK4ALL
Establishing a standard programming framework for working efficiently with cloud-ready zero-knowledge proofs
Project team: Ruzica Piskac - Computer Science with Timos Antonopoulos, Ning Luo, Yuyang Sang, Xiao Wang