Please check below for the grant list our lab received (Dr. Jianwu Wang is grant recipient unless noted specifically) and click the items on the left for detailed information.
Current Projects
- 2024 – 2027: REU Site: Online Interdisciplinary Big Data Analytics in Science and Engineering, National Science Foundation (NSF), Co-PI
- 2023 – 2027: Collaborative Research: SCIPE: Enhancing the Transdisciplinary Research Ecosystem for Earth and Environmental Science with Dedicated Cyber Infrastructure Professionals, National Science Foundation (NSF), Senior Personnel
- 2022 – 2026:
NSF Harnessing Data Revolution (HDR) Institute: Harnessing Data and Model Revolution in the Polar Regions (iHARP), National Science Foundation (NSF), Co-PI - 2021 – 2024: AI and Autonomy for Multi-Agent Systems (ARTIAMAS), Army Research Lab (ARL), Senior Personnel
- 2020 – 2025: CAREER: Big Data Climate Causality Analytics, National Science Foundation (NSF), PI
- 2020 – 2024: Developing Passive Satellite Cloud Remote Sensing Algorithms using Collocated Observations, Numerical Simulation and Deep Learning, National Aeronautics and Space Administration (NASA), PI
Past Projects
- 2021 – 2023: REU Site: Online Interdisciplinary Big Data Analytics in Science and Engineering, National Science Foundation (NSF), PI
- 2022 – 2023: Multivariate Atmospheric Data Clustering for Studying Aerosol-cloud Interactions, Department of Energy (DOE), subcontract from Lawrence Livermore National Laboratory (LLNL), Subcontract PI
- 2022 – 2023: Student travel grant to support students to attend the 9th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT 2022) and the 15th IEEE/ACM International Conference on Utility and Cloud Computing (UCC 2022) from National Science Foundation (NSF), Co-PI
- 2022 – 2023: Graduate fellowship to Ms. Xingyan Li, lab PhD student, from at the Goddard Earth Sciences Technology and Research (GESTAR) II. Research project title: Deep Learning based Cloud Mask Retrieval for the Future NASA PACE Mission in collaboration with NASA scientists.
- 2022 – 2024: Machine Learning based Automatic Detection of Upper Atmosphere Gravity Waves from NASA Satellite Images, National Aeronautics and Space Administration (NASA), Co-I
- 2021 – 2022: Machine Learning and Cloud based Submeso Scale Ocean Eddy Detection, Earth Science Information Partners (ESIP), PI
- 2020 – 2020: Summer Research Faculty Fellowship, UMBC, PI
- 2020 – 2021: Multi-layered Intrusion Tolerant Byzantine Architecture for Bulk Power System Protective Relays, Department of Energy (DOE), Subcontract PI
- 2019 – 2020: Joint Center for Earth Systems Technology (JCET) Fellow, JCET, Pei Guo (Lab PhD Student)
- 2019 – 2019: COEIT Faculty Lab and Equipment Renewal Grant, UMBC, Co-PI
- 2018 – 2021: Efficient and Flexible Aggregation and Distribution of MODIS Atmospheric Products based on Climate Analytics-as-a-Service Framework, National Aeronautics and Space Administration (NASA), PI
- 2017 – 2018: Low-Code Workflow Software for Life Sciences, Maryland Industrial Partnerships (MIPS) Program, PI
- 2017 – 2021: CrossTraining of Researchers in Computing, Applied Mathematics and Atmospheric Sciences using Advanced Cyberinfrastructure Resources, National Science Foundation (NSF), PI
- 2017 – 2020: MRI: Acquisition of Cutting-Edge GPU and Phi Nodes for the Interdisciplinary UMBC High Performance Computing Facility, National Science Foundation (NSF), Co-PI
- 2017 – 2018: Large-Scale Climate Analytics based on Satellite Data, Microsoft, PI
- 2015 – 2016: Addressing Fundamental Sensing and Data Processing Problems in Sustainable Farms, UMBC COEIT Strategic Plan Implementation Grant, Co-PI
- 2015 – 2017: The Smart Manufacturing Leadership Coalition (SMLC), Department of Energy (DOE), Subcontract PI
- 2010 – 2013: Scientific Workflow Scheduling on Cloud, Amazon