Selected Grants

What we're working on.

Selected Grants
  • “Towards Intelligent Scheduling for Adaptive Scientific Computing with Heterogeneity”, DOE, 2023-2028. PI, Jing Li.
  • “Towards Effective Detection and Mitigation for Shortcut Learning: A Data Modeling Framework”, NSF, 2023-2027. PI, Mengnan Du.
  • “SEA-CROGS: Scalable, Efficient and Accelerated Causal Reasoning Operators, Graphs and Spikes for Earth and Embedded Systems”, DOE, 2023. PI, Mengjia Xu.
  • “Responsible Design and Validation of Algorithmic Rankers”, NSF, 2023-2027. PI, Aritra Dasgupta.
  • “Trapeze: Responsible AI-assisted Talent Acquisition for HR Specialists”, NSF, 2023-2027. PI, Aritra Dasgupta.
  • “Interactive Visual Analytics for Explainable Artificial Intelligence/Machine Learning (AI/ML) in Grid Sensing”, DOE, 2023-2024. PI, Aritra Dasgupta.
  • “A Scientist-in-the-Loop Data Analytics Framework for Intelligent Simulation Model Tuning and Validation”, DOE, 2022-2024. PI, Aritra Dasgupta.
  • “Deep Learning Methods for Analysis of Single-cell Multi-omics Data”, NIH, 2021-2024. PI, Zhi Wei.
  • “Advanced Upstream Data analytics for the Shipyard Schedule Optimization and Planning”, DOD, 2021-2024. PI, Senjutu Basu Roy.
  • "NJ ACTS - Pilots," NJIT PI: Guiling “Grace” Wang, NIH PTE Rutgers, 2020-2024
  • "Decentralized Vehicle Credential Management System Based on Consortium Blockchain," FHWA EAR, 2020-2024. PI, Guiling “Grace”  Wang.
  • "Model-Based Reinforcement Learning with Active Learning for Efficient Electrical Power Converter Design," DOE & IBM, 2020-2022. PI, Jing Li.
  • "CRII: RI: Fairness and Profitability in Online Matching Markets," NSF, 2020-2022. PI, Pan Xu
  • "EAGER: Collaborative Research: Understanding Human Behaviors and Mental Health using Federated Machine Learning on Smart Phones," NSF, 2020-2022. PI, Hai Phan.
  • "A Humans-in-the-loop Optimization Framework for Designing Derived Attributes in Data Science", NSF, 2020-2023. PI, Senjuti Basu Roy.