PI: YY Ahn. Co-PIs: Stasa Milojevic, Alessandro Flammini, and Sriraam Natarajan. Science Genome: A Scholarly Graph Embedding Framework to Uncover the Fundamental Dynamics of Scientific Enterprise, Air Force Office of Scientific Research (AFOSR). 2019 – 2024, $4,412,840.
Amazon Web Services (AWS)
PI: Lantao Liu. AWS Machine Learning Research Award, Amazon Web Services (AWS). April 2020 – Dec 2021, $70,000.
PI: Minje Kim. Personalized Voice Synthesis in the Real-world Recording Conditions, Amazon Web Services (AWS). 2021, $20,000.
Argonne National Lab
PI: Vikram Jadhao. Co-PIs: Geoffrey Fox. FAIR Surrogate Benchmarks Supporting AI and Simulation Research, Argonne National Lab. 2022 – 2024, $185,496.
PI: Dingwen Tao. FAIR Surrogate Benchmarks Supporting AI and Simulation Research, Argonne National Lab. 2021 – 2023, $208,124.
Army Research Lab (ARL)
PI: Lantao Liu. Scalable, Adaptive, Resilient Autonomy (SARA), Army Research Lab (ARL). May 2020 – Dec 2023, $655,000.
Central Indiana Corporate Partnership
PI: Raj Acharya. Co-PIs: Vikram Jadhao, Ariful Azad, Alexander Gumennik, and Prateek Sharma. Industry-Academia Collaboration in Energy + Manufacturing Analytics, Central Indiana Corporate Partnership. 5/2022 – 1/2024, $1,058,332.
Defense Advanced Research Projects Agency (DARPA)
PI: Kristina Lerman. Co-PIs: Yong-Yeol Ahn. EDIFICE: Early Detection of Influence Indicators with Machine Intelligence, Defense Advanced Research Projects Agency (DARPA). Oct 2021 – July 2025, $478,659.
PI: Alessandro Flammini. Co-PIs: Filippo Menczer. UPSCALE: Universal Population Segmentation and Characterization Algorithms for OnLine Environments, Defense Advanced Research Projects Agency (DARPA). Aug 2021 – July 2025, $1,172,738.
PI: Paul Macklin. Co-PIs: David Crandall. Artificial intelligence (AI)-based predictive modeling of the host microbiome to improve vaccine effectiveness, Defense Threat Reduction Agency (DTRA). June 2021 – May 2024, $279,527.
PI: David Crandall. Reconstructing 3D Building Maps From Overhead Monocular Images, Defense Threat Reduction Agency (DTRA). Nov 1, 2020 – Oct 31, 2022, $330,000.
Electronics and Telecommunications Research Institute (ETRI)
PI: Minje Kim. Research on Low-delay Audio Coding Technology, Electronics and Telecommunications Research Institute (ETRI). 2022 – 2024, $300,000.
PI: Crandall. Depth Map Prediction Based on Machine Learning, Electronics and Telecommunications Research Institute (ETRI). Jan 1, 2019 – Dec 31, 2022, $339,031.
PI: Minje Kim. Research on Audio Signal Analysis/Synthesis Technology Based on Machine Learning, Electronics and Telecommunications Research Institute (ETRI). 2017 – 2021, $405,908.
Google
PI: Apu Kapadia. Co-PIs: David Crandall. Gift for Privacy Sensitive Augmented Reality for the Visually Impaired, Google. Feb 2020, $45,000.
Indiana Innovation Institute
PI: David Crandall. Co-PIs: Martin Swany and Sara Skrabalak. Achieving Scientifically Secured User Reassurance in Electronics (ASSURE), Indiana Innovation Institute. Mar 2018 – Jul 2020, $660,038.
Indiana University Bloomington Faculty Research Support Program
PI: Selma Sabanovic. Evaluation of Ecological Momentary Assessment as a Method to Provide Ground Truth for Machine Learning in Socially Assistive Robot Design, Indiana University Bloomington Faculty Research Support Program. 2021 – 2022, $24,195.
Indiana University Luddy Faculty Fellowship
PI: Zoran Tiganj. Deep Reinforcement Learning with Human-Inspired Memory, Indiana University Luddy Faculty Fellowship. 2022, $25,000.
PI: Justin Wood. Reverse Engineering the Origins of Visual Intelligence, Indiana University Luddy Faculty Fellowship. 2021, $25,000.
Indiana University Social Science Research Center
PI: Selma Sabanovic. Applying Conjoint Survey Methods to Understand Home Robot Purchasing Behavior, Indiana University Social Science Research Center. 2021, $9,215.
Institute of Museum and Library Services
PI: Kahyun Choi. Unbiased AI for Poetry Analysis: Toward Equitable and Diverse Digital Libraries (Early Career Research Development project of Laura Bush 21st Century Librarian Program), Institute of Museum and Library Services. Aug. 2022 - Jul. 2025, $420,819.
PI: Hee Rin Lee. Co-PIs: Kahyun Choi. AI & Co-design in public libraries: Empowering underserved youth to cultivate symbiotic relationships between Artificial Intelligence (AI) and their communities, Institute of Museum and Library Services. Aug 2021 – Jul 2023, $249,999.
Intelligence Advanced Research Projects Activity (IARPA)
PI: Martin Swany. Co-PIs: Thomas Sterling and Ariful Azad. Pilot-CRIS Advanced Graphic Intelligence Logical Computing Environment Project, Intelligence Advanced Research Projects Activity (IARPA). 2022 – 2025, $4,756,869.
PI: Haixu Tang. Co-PIs: XiaoFeng Wang. Statistical Methods for Backdoor Detection in Deep Neural Networks, Intelligence Advanced Research Projects Activity (IARPA). 2020-2024, $1,748,209.
PI: Ning Yu. Co-PIs: Allen Riddell and Sandra Kuebler. HIATUS: RELatable Authorship eXplanations (RELAX), Intelligence Advanced Research Projects Activity (IARPA). 2023 – 2024, $300,000.
Meta, Inc.
PI: Crandall. Gift for Research in Egocentric Computer Vision, Meta, Inc. 2019 – 2023, $230,000.
PI: Justin Wood. Reserve Engineering the Origins of Visual Intelligence, Meta, Inc. 2020-2022, $180,000.
NASA Translational Research Institute
PI: David Crandall. Cervical Lymphatic Function Quantification and Associated Molecular Changes in Response to Simulated Microgravity, NASA Translational Research Institute. Oct 2017 – April 2020, $216,993.
NVidia
PI: Yong-Yeol Ahn. Donation of GPUs, NVidia. April 2022, $100,000.
National Institutes of Health (NIH)
PI: Linda Smith. Co-PIs: David Crandall, Jim Rehg, and Chen Yu. Infants' self-generated visual statistics support object and category learning, National Institutes of Health (NIH). Sept 2021 – July 2026, $3,300,000.
PI: Linda Smith. Co-PIs: Rowan Candy, David Crandall, and Jason Gold. The statistics of infant first-person visual experience, National Institutes of Health (NIH). Sept 2021 – July 2026, $3,229,575.
PI: Ehren Newman. Co-PIs: Zoran Tiganj. CRCNS US-German Research: Mechanisms and degradation of scale-invariance in mammalian navigation, National Institutes of Health (NIH). 2021 – 2024, $666,807.
PI: Eric Walsh-Buhi. Co-PIs: Johan Bollen. Pre-exposure prophylaxis (PrEP) information on social media, National Institutes of Health (NIH). Dec 2022 – Nov 2024, $210,205.
PI: Amanda Mejia. Bayesian methods for cortical surface neuroimaging data, National Institutes of Health (NIH). Feb 2019 – Nov 2022, $1,792,256.
National Science Foundation (NSF)
PI: Cindy Hmelo-Silver. Co-PIs: David Crandall, Joshua Danish, and Krista Glazewski. AI Institute: The Institute for an AI-Engaged Future of Learning (based at NCSU), National Science Foundation (NSF). July 1, 2021 – June 30, 2026, $4,000,000.
PI: Wojciech Szpankowski. Co-PIs: Mohsen Heidari and Wojciech Szpankowski. CCF: Medium: Learning From Classical and Quantum Data: a Fourier Perspective, National Science Foundation (NSF). 2022 – 2026, $330,000.
PI: Ariful Azad. NSF AI institute for Intelligent Cyberinfrastructure with Computational Learning in the Environment (ICICLE), National Science Foundation (NSF). 2021 – 2026, $2,000,000.
PI: Lantao Liu. CAREER: Autonomous Live Sketching of Dynamic Environments by Exploiting Spatiotemporal Variations, National Science Foundation (NSF). Mar 2021 – Feb 2026, $550,000.
PI: Minje Kim. CAREER: Personalized Speech Enhancement: Test-time Adaptation using No or Few Private Data, National Science Foundation (NSF). Apr 2021 – Mar 2026, $477,952.
PI: Chung-chieh Shan. FMitF: Track I: Differentiable Probabilistic Programming with Recursive Structured Models, National Science Foundation (NSF). 2022 – 2024, $373,951.
PI: Manohar Murthi. Co-PIs: Sandra Kuebler. SATC Large: Large: Multi-Disciplinary Analyses of the Nature and Spread of Unsubstantiated Information Online, National Science Foundation (NSF). 2021 – 2024, $390,000.
PI: David Crandall. Co-PIs: Kay Connelly, Selma Sabanovic, Katie Siek, and David Wild. AI Institute: Planning: AI Institute for Rural Health, Wellness, and Resilience, National Science Foundation (NSF). Aug 1, 2020 – Sept 31, 2023, $499,744.
PI: Cindy Bethel (Michigan State). Co-PIs: Jen Piatt and Selma Sabanovic. CHS: Large: Collaborative Research: Participatory Design and Evaluation of Socially Assistive Robots for Use in Mental Health Services in Clinics and Patient Homes, National Science Foundation (NSF). 2019 – 2023, $1,231,706.
PI: Haixu Tang. CIBR: Full-Spectrum Prediction of Peptide Tandem Mass Spectra using Deep Neural Networks, National Science Foundation (NSF). 2020-2023, $781,018.
PI: Qin Zhang. Co-PIs: Yuan Zhou. Collaborative Research: AF: Small: Parallel Reinforcement Learning with Communication and Adaptivity Constraints, National Science Foundation (NSF). 2020 – 2023, $242,214.
PI: Yuzhen Ye. MTM 1: An explainable AI system for microbiome-based host phenotype prediction, National Science Foundation (NSF). 2020 – 2023, $500,000.
PI: Richard Betzel. Co-PIs: Yong-Yeol Ahn. NCS-FO: Edge-centric maps of functional brain network organization and dynamics, National Science Foundation (NSF). Oct 2020 – Sept 2023, $737,019.
PI: Eric Fuchs. Co-PIs: Yong-Yeol Ahn. TIP: A National Network for Critical Technology Assessment: A First-Year Pilot, National Science Foundation (NSF). Oct 2022 – Sept 2023, $148,919.
PI: Dingwen Tao. CRII: OAC: An Efficient Lossy Compression Framework for Reducing Memory Footprint for Extreme-Scale Deep Learning on GPU-Based HPC Systems, National Science Foundation (NSF). 2020 – 2023, $189,593.
PI: Lantao Liu. RI: Small: Exploiting Symmetries of Decision-Theoretic Planning for Autonomous Vehicles, National Science Foundation (NSF). Oct 2020 – Sept 2023, $450,000.
PI: Xiaojing Liao. Co-PIs: XiaoFeng Wang and ChengXiang Zhai. SaTC: CORE: Medium: Collaborative: Understanding and Discovering Illicit Online Business Through Automatic Analysis of Online Text Traces, National Science Foundation (NSF). 2018 – 2023, $430,186.
PI: Linda Smith. Co-PIs: David Crandall and Chen Yu. Visual category learning by toddlers provides new principles for teaching rapid generalization, National Science Foundation (NSF). Aug 1, 2019 – July 31, 2022, $548,791.
PI: Lei Jiang. Co-PIs: Minje Kim and Feng Guo. FET: Small: A Portable and Intelligent Testing System for Power-Efficient and Accurate Foodborne Pathogen Detection, National Science Foundation (NSF). Oct 2019 – Sept 2022, $499,808.
PI: Fox. Middleware and High Performance Analytics Libraries for Scalable Data Science, National Science Foundation (NSF). Oct 1, 2014 – Sept 30, 2021, $5,263,170.
PI: Selma Sabanovic. Co-PIs: Eliot Smith. CHS: Small: Applying Intergroup Psychology to Overcome Barriers in Human-Robot Interaction, National Science Foundation (NSF). 2016 – 2021, $499,115.
PI: Selma Sabanovic. Co-PIs: Hamid Ekbia, Stasa Milojevic, Nathan Ensmenger, and J. Jones. FW-HTF-P: The Future Matrix of Care: Communities, Networks, and Technologies, National Science Foundation (NSF). 2019 – 2021, $150,000.
PI: David Crandall. CAREER: Observing the world through the lenses of social media, National Science Foundation (NSF). Mar 2013 – Feb 2020, $595,964.
Office of Naval Research (ONR)
PI: David Crandall. Co-PIs: David Leake. Combining Deep Learning and Case-Based Reasoning for Robust, Accurate, Explainable Classification, Office of Naval Research (ONR). Oct 1, 2019 – September 30, 2022, $900,000.
Toyota Research Institute
PI: Selma Sabanovic. Co-PIs: David Crandall. Socially Enabling Robots to Support Ikigai and Community Engagement of Older Adults, Toyota Research Institute. 2021 – 2024, $1,588,669.
U.S. Army Core of Engineers
PI: Dezhen Song. Co-PIs: Lantao Liu, Doug Edmounds, Lydia Kavraki, and Jason O’Kane. Automated and Robotic Inspection of Flood Control Systems (led by Texas A& M), U.S. Army Core of Engineers. Sept 2022 – Aug 2023, $150,000.
U.S. Department of Defense
PI: David Crandall. Co-PIs: Bennett Bertenthal, Saul Blanco, Katy Borner, L. Jean Camp, Lauren Christopher, Chunfeng Huang, Apu Kapadia, David Leake, Gregory Lewis, Chrisopher Raphael, and Donald Williamson. Embedded Systems Security/Artificial Intelligence (ESS/AI) Research and Workforce Development, U.S. Department of Defense. Jun 2021 – Sept 2024, $6,300,000.
U.S. Department of Energy
PI: Ariful Azad. Sparsetitute: A Mathematical Institute for Sparse Computations in Science and Engineering, U.S. Department of Energy. 2022 – 2027, $1,200,000.
PI: Ariful Azad. Intelligent Primitives for Scalable Graph Analytics and Learning (DOE Early Career Award), U.S. Department of Energy. 2021 – 2026, $752,000.
U.S. Navy
PI: Lantao Liu. Adaptive Mapping, Sensing, and Decision Making for Autonomous Underwater Vehicles and Autonomous Surface Vehicles, U.S. Navy. May 2022 – April 2025, $420,000.
PI: Lantao Liu. Real-Time Computation, Representation, and Communication of High Fidelity Scenes from Ranging Sensor Data, U.S. Navy. Sept 2022 – Aug 2023, $200,000.
PI: David Crandall. Co-PIs: Katy Borner. Advanced Data Visualizations for Robust Deep Machine Learning, U.S. Navy. May 6, 2019 – May 5, 2022, $420,000.
PI: David Crandall. Co-PIs: Justin Wood. Next-generation, Biologically-inspired Object Tracking, U.S. Navy. 2021, $40,000.
Volkswagen Artificial Intelligence and the Society of the Future
PI: Filippo Menczer. Co-PIs: Alessandro Flammini. Bots Building Bridges (3B): Theoretical, Empirical, an Technological Foundations for Systems that Monitor and Support Political Deliberation Online, Volkswagen Artificial Intelligence and the Society of the Future. May 2022 – Apr 2024, $65,930.
