Projects

Current funded projects

Agriculture, food, and plant sciences 2021-2026 NSF/USDA-NIFA: AI Institute for Resilient Agriculture. More info here. PI Baskar Ganapathysubramanian 2021-2026 NSF CPS: COALESCE: Context Aware Learning for Sustainable Cyber-agricultural systems. More info here. PI: Soumik Sarkar 2020-2023 USDA-NIFA: High Intensity Phenotyping Sites: A Multi-Scale, Multi-Modal Sensing and Sense-Making Cyber-Ecosystem for Genomes to Fields. More info here. PI: Pat Schnable 2020-2023 USDA-NIFA: Field-scale, single plant-resolution agricultural management using coupled molecular and macro sensing and multi-scale data fusion and modeling. PI: Liang Dong 2019-2022 USDA-NIFA: FACT: A scalable cyber ecosystem for acquisition, curation, and analysis of multispectral; UAV image data. PI: Arti Singh 2020-2021 NSF: BTT EAGER: Improving Crop Yield Prediction by Integrating Machine Learning with Process-Based Crop Models. PI: Lizhi Wang

Flow physics and applications 2019-2022 NSF: Characterization of onset of dynamic stall for low Mach number flows. PI: Anupam Sharma 2019-2023 NSF: INFEWS / T1: Social and biophysical models to integrate local food systems, climate dynamics, built forms, and environmental impacts in the urban FEWS nexus. More info here. PI: Jan Thompson

Soft matter physics and applications 2021-2026 NSF LEAP–HI: AI-Optimized 3D Printing of Super-Soft Materials for Personalized Sensing, PI: Ganapathysubramanian 2020-2022 ARPA-E: Context-Aware Learning for Inverse Design in Photovoltaics. PI: Ganapathysubramanian 2020-2024 NSF: RII Track-2 FEC: Data-enabled Discovery and Design to Transform Liquid-based Energy Storage (D3TaLES). PI: Ganapathysubramanian. Lead PI: Chad Risko 2019-2022 NSF: Collaborative Research: QRM: Microstructure manifold analysis using a hierarchical set of morphological, topological, and process descriptors. PI: Ganapathysubramanian 2019-2024 ONR MURI: Center for self-assembled organic electronics, ISU PI: Ganapathysubramanian, More info here. Lead PI: Enrique Gomez