| Sep 06, 2024 |  Three recent preprints now out on Arxiv. - HComp-Net: An explainability tool for discovering evolutionary traits as hierarchical prototypes.
- VLM4Bio: A benchmark to evaluate zero-shot effectiveness of VLMs in organismal biology.
- Fish-Vista: A benchmark dataset for identifying biological traits from images.
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| Aug 26, 2024 |  Gave a keynote talk at the Fragile Earth: Generative and Foundational Models for Sustainable Development Workshop at KDD 2024. |
| Aug 22, 2024 |  Honored to be part of the $18M NSF PIPP Phase II Institute grant as co-PI on “Community Empowering Pandemic Prediction and Prevention from Atoms to Societies (COMPASS)” (see VT News story). |
| Aug 15, 2024 |  Invited to serve as an Associate Editor for the ACM Transactions on Knowledge Discovery from Data (TKDD) journal. |
| Aug 07, 2024 |   Co-organized the KGML 2024 Workshop at the University of Minnesota in Minneapolis. See Tutorial Video on KGML that I gave at the workshop providing an overview of the landscape of research in KGML. |
| Aug 06, 2024 | Gave a talk at the 2nd NSF Workshop on AI-Enabled Scientific Revolution at the University of Minnesota in Minneapolis. |
| Jul 31, 2024 |  Paper on Phylogeny-guided Diffusion got accepted at ECCV 2024. |
| Jul 27, 2024 | Paper on NeuroVisualizer presented at ICML 2024. |
| Jul 26, 2024 | Co-organized the Summer Tutorial on KGML at Oak Ridge National Laboratory (ORNL). |
| May 07, 2024 |  Honored to receive an NSF NAIRR Pilot award invited to speak at the White House on building “LakeGPT - a foundation model for aquatic sciences powered by KGML”. See media coverage of this event in Science Magazine News, VT News, and UMN CSE Department News |
| Apr 29, 2024 | Our recent project on studying food-energy-water nexus in the Mekong River Basin was highlighted in a VT News story. |
| Feb 26, 2024 | Co-organized the First Workshop on Imageomics at AAAI 2024. |
| Feb 21, 2024 | Paper on Modular Compositional Learning (MCL) published at the Journal of Advances in Modeling Earth Systems (JAMES). |
| Feb 21, 2024 | Co-organized the First Bridge Program on KGML at AAAI 2024. |
| Feb 15, 2024 | Paper on MEMTrack published at the Journal of Advanced Intelligent Systems. |
| Dec 08, 2023 |  My student Arka Daw completed his PhD defense and will be joining ORNL as a Distinguished Staff Fellow in Jan 2024! |
| Sep 22, 2023 | Co-organized the First European KGML Workshop at ECML-PKDD 2023. |
| Aug 26, 2023 | Paper on Phylogeny-guided NNs presented at KDD 2023. |
| Jul 28, 2023 | Co-organized the Synergy of Scientific and Machine Learning Modelling (SynS & ML) Workshop at ICML 2023. |
| Jul 01, 2023 | Grateful to receive an NSF CAREER Award on “Unifying Scientific Knowledge with Machine Learning for Forward, Inverse, and Hybrid Modeling of Scientific Systems” (see VT News story). |
| Apr 26, 2023 | My student Mohannad Elhamod completed his PhD defense and will be joining as a Clinical Assistant Professor at the Boston University Questrom School of Business! |
| Feb 09, 2023 | My student Jie Bu completed his PhD defense and will be joining Apple Research! |
| Nov 19, 2022 | Co-organized the Third Symposium on KGML held as part of the AAAI Fall Symposium Series 2022. |
| Sep 01, 2022 | Grateful to be part of a $1.1M NSF Macrosystems Biology grant on “Advancing process understanding of lake water quality to macrosystem scales with KGML” as Site PI (award abstract). |
| Aug 15, 2022 |  Co-edited the first comprehensive book on KGML, published in Chapman Hall/CRC Data Mining and Knowledge Discovery Series. |
| Jul 25, 2022 | My co-advised student Nikhil Muralidhar completed his PhD defense and will be joining as an Assistant Professor in the Department of Computer Science at Stevens Institute of Technology! |
| Jun 22, 2022 | Paper on RealSAT, a global dataset of reservoir and lake surface area variations published at Nature Scientific Data journal. |
| May 01, 2022 | Honored to receive the Outstanding New Assistant Professor Award by the College of Engineering at Virginia Tech. |
| May 01, 2022 | Grateful to be part of a $1M NSF PIPP Phase I grant as co-PI on “Community Informed Computational Prevention of Pandemics” (award abstract). |
| Apr 01, 2022 | Grateful to be part of a $390K Naval Engineering Education Consortium (NEEC) grant on “Seafloor Characterization From Free Fall Penetrometers Using Machine Learning” as co-PI. |
| Nov 06, 2021 | Co-organized the Second Symposium on Science-guided AI held as part of the AAAI Fall Symposium Series 2021. |
| Oct 12, 2021 | Grateful to be lead PI of a $1M NSF CISE Medium grant on “Physics-guided Machine Learning for Predicting Cell Trajectories, Shapes, and Interactions in Complex Dynamic Environments” (see VT News story). |
| Oct 01, 2021 | Grateful to be part of the $15M NSF Harnessing Data Revolution (HDR) Institute grant on “Imageomics: A New Frontier of Biological Information Powered by KGML” (see VT News story). I am the Site PI from VT and one of the 4 co-PIs across 11 institutions involved in this project. |
| May 01, 2021 | Honored to receive the Rising Star Faculty Award by the Department of Computer Science at Virginia Tech. |
| Nov 14, 2020 | Co-organized the Symposium on “Physics-guided AI for Accelerating Scientific Discovery” held as part of the AAAI Fall Symposium Series 2020. |
| May 01, 2020 | Grateful to be part of a $198K NSF EAGER award as site PI on “Exploring Physics Guided Machine Learning for Accelerating Sensing and Physical Sciences” (award abstract). |
| Oct 01, 2019 | Grateful to be part of a $1.98M grant as site PI on building “Biology-guided neural networks for discovering phenotypic traits”, supported by the NSF Harnessing Data Revolution (HDR) Ideas Lab program (award abstract). |
| May 01, 2019 | Honored to be named the Inaugural Research Fellow by the Intelligent Systems for Geosciences (IS-GEO) for 2019. |