Mid-Scale Seed Grants- Funded Projects

The ICDS Mid-Scale Seed Grant Program offers up to $100,00 for proposals contributing to one or more of its five Research Hubs: Artificial Intelligence, Computational Sciences, Data Sciences, Digital Twins, and Quantum Sciences.

Selected faculty members and projects are: 

    • “Reinforcement Learning for High-Dimensional Adaptive Surrogate Modeling” 

      • Principal investigator (PI): Nathan Brown, associate professor of architectural engineering, College of Engineering 

      • Co-PI: Kostas Papakonstantinou, associate professor of civil and environmental engineering, College of Engineering 

    • “Real-time thermal and flow field reconstruction via a fidelity-aware digital twin” 

      • PI: Tamy Guimaraes, assistant professor of mechanical engineering, College of Engineering 

      • Co-PIs: Xiang Yang, Kenneth K. and Olivia J. Kuo Early Career Professor in Mechanical Engineering, College of Engineering; Keefe Manning, professor of biomedical engineering, College of Engineering; Nicolas Tobin, assistant research professor 

    • “Water Evaluation and Treatment Digital Twin (WET-DT): A Framework for Robust, Predictive Process Controls for Water Treatment Plants” 

      • PI: Ilya Kovalenko, assistant professor of mechanical engineering and of industrial and manufacturing engineering, College of Engineering 

      • Co-PIs: Margaret Busse, assistant professor of mechanical engineering, College of Engineering; Gamini Mendis, assistant professor of polymer engineering and science and of plastics engineering technology at Penn State Behrend 

    • “Discovering Plausible Extreme Events in Large-Scale Infrastructure Systems with Multimodal Reinforcement Learning” 

      • PI: Aron Laszka, assistant professor of informatics and intelligent systems, College of Information Sciences and Technology (IST)

      • Co-PI: Anirudh Subramanyam, Charles and Enid Schneider Early Career Assistant Professor of Industrial and Manufacturing Engineering, College of Engineering 

    • “Toward Robust and Interpretable Graph Machine Learning for Molecular Discovery” 

      • PI: Lu Lin, assistant professor of informatics and intelligent systems, College of IST  

      • Co-PI: Vasant Honavar, ICDS co-hire, professor of informatics and intelligent systems, College of IST 

    • “Preparation for the Creation of a National Sediment Model and NSF Center-Scale Proposal” 

      • PI: Xiaofeng Liu, ICDS co-hire and professor of civil and environmental engineering, College of Engineering  

      • Co-PIs: Li Li, professor of civil and environmental engineering, College of Engineering; Chaopeng Shen, professor of civil and environmental engineering, College of Engineering; Roberto Fernandez, assistant professor of civil and environmental engineering, College of Engineering; Roman DiBiase, associate professor of geosciences, College of Earth and Mineral Sciences 

    • “iTwin-ERW: Integrated Digital Twin Framework for Decision-Support in Enhanced Rock Weathering” 

      • PI: Tushar Mittal, assistant professor of geosciences, College of Earth and Mineral Sciences 

      • Co-PIs: Matthew Fantle, professor of geosciences, College of Earth and Mineral Sciences; Charlie White, associate professor of plant science, College of Agricultural Sciences 

    • “Scalable Privacy-Preserving AI for Genomic Risk Modeling” 

      • PI: Ying Sun, assistant professor of electrical engineering, College of Engineering 

      • Co-PIs: Dajiang Liu, distinguished professor of public health sciences and biochemistry and of molecular and precision medicine and director of artificial intelligence and biomedical informatics, College of Medicine; Lingzhou Xue, professor of statistics, Eberly College of Science