Geoinformatics & Remote Sensing — Federal Grants

EPSCoR Research Fellows: NSF: The role of vegetation phenology in grassland sensitivity to extreme drought

Andrew Felton · Montana State University

Supporting the Success of Physical and Quantitative Sciences Scholars in Rural Appalachia

Anna Mummert · Marshall University Research Corporation

Collaborative Research: CCSS: Semantic-Aware Collaborative Perception and Networking for Autonomous Urban Mobility

Ren Wang · Illinois Institute of Technology

Collaborative Research: CCSS: Semantic-Aware Collaborative Perception and Networking for Autonomous Urban Mobility

Mushu Li · Lehigh University

Conference: 2027 Label-Free Single Molecule Sensing Gordon Research Conference and Seminar

Georgios Alexandrakis · Gordon Research Conferences

Developing STEM Identities and Geoarchaeological Innovation through Immersive Technology for Workforce Pathways

Laurie Miroff · SUNY at Binghamton

EPSCoR Research Fellows: @NASA: Leveraging high-resolution land modeling and remote sensing to understanding the impacts of light-absorbing particles on Western US snowpack

Enrico Zorzetto · New Mexico Institute of Mining and Technology

EPSCoR Research Fellows: NSF: Engineering a Translational SERS Immunophenotyping and Multimodal Analytics Framework for Liquid-Biopsy Based Early Detection of Ovarian Cancer

Rupa Haldavnekar · University of Oklahoma Norman Campus

EPSCoR Research Fellows: NSF: Understanding Low Cloud Evolution and their Interactions with Aerosols Using Observations, Machine Learning, and Modeling

Ehsan Erfani · Nevada System of Higher Education, Desert Research Institute

Collaborative Research: Group Structure, Hydrodynamics, and Sensing of Squids during Collective Swimming

Eli Olinick · Southern Methodist University

Collaborative Research: Group Structure, Hydrodynamics, and Sensing of Squids during Collective Swimming

Paul Krueger · University of North Texas

Collaborative Research: Group Structure, Hydrodynamics, and Sensing of Squids during Collective Swimming

Ian Bartol · Old Dominion University Research Foundation

INTERNATIONAL BUSINESS MACHINES CORPORATION

INFLATION REDUCTION ACT (IRA): END-TO-END, MULTI-MODAL, HIGH RESOLUTION METHANE INVENTORY QUANTIFICATION (E2E-METHANE-IQ) THE OBJECTIVE OF THIS SCOPE IS TO DEVELOP AN END-TO-END, MULTI-MODAL, HIGH RESOLUTION METHANE INVENTORY QUANTIFICATION (E2E-METHANE-IQ) TECHNOLOGY, WHICH WILL BE (I) FULLY VALIDATED THROUGH MULTIPLE MEASUREMENT CAMPAIGNS IN ALL MAJOR BASINS IN THE WESTERN UNITED STATES (INCLUDING UINTA, FOUR CORNERS, SAN JOAQUIN, GREEN RIVER, MONTANA, BIG HORN, ETC.), (II) AGNOSTIC TO THE INDIVIDUAL SENSING TECHNOLOGIES, (III) FULLY SCALABLE AND OPERATIONALLY FROM EQUIPMENT TO REGIONAL LEVEL AND FROM MINUTES TO MONTHS, AND (IV) READILY EXTENSIBLE TO ACCOMMODATE SPECIFIC NEEDS IN CERTAIN REGIONS OR APPLICATIONS.