News
Four new tenure-track geo-AI faculty joining Ohio State this academic year
The College of Arts and Sciences is welcoming four new tenure-track assistant professors this academic year whose research sits at the intersection of Earth observation, AI, and machine learning —…
BuckAI Observatory featured in the College of Arts and Sciences ASCENT 2026 magazine
The Observatory is profiled in ASCENT 2026, the College of Arts and Sciences flagship publication, in a feature on how the College is shaping the future of AI in research and learning…
Inaugural BuckAI Observatory Workshop convenes 20 faculty from 10 graduate programs
An all-day inaugural workshop at Mendenhall Laboratory brought together OSU faculty and students from across the College of Arts & Sciences, Engineering, and SENR for 16 short talks and afternoon…
Coastal bathymetry with Sentinel-2 presented at WACV 2025
New paper From Bands to Depth: Understanding Bathymetry Decisions on Sentinel-2 presented at the IEEE/CVF Winter Conference on Applications of Computer Vision (WACV 2025).
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Vapor–liquid equilibrium of water–hydrogen mixtures published in PLOS ONE
BuckAI modeling study on H₂–water VLE using a Cubic-Plus-Association Equation-of-State is now available in PLOS ONE, supporting natural hydrogen reservoir research.
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BuckAI Innovation & Data Visualization Space Opens in Mendenhall Laboratory
The Observatory's dedicated collaboration and visualization space officially opens, providing a hub for weekly research seminars, GPU-powered analysis, and visitor demos.
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BuckAI Observatory Founded With $1M OSU Seed Investment
The BuckAI Observatory is officially launched as OSU's interdisciplinary center for AI-powered Earth observation, with five-year seed funding (2025–2030) from the College of Arts and Sciences.
CGIAR/SPIA Deforestation Monitoring Project Awarded ($1.25m, 2025–2028)
Three-year collaborative grant to develop AI satellite tools for tracking deforestation and agroforestry in Sub-Saharan Africa, in partnership with the CGIAR Standing Panel on Impact Assessment.
Using AI to pinpoint hidden sources of clean energy underground
As efforts to transition away from fossil fuels strengthen the hunt for new sources of low-carbon energy, scientists have developed a deep learning model to scan the Earth for surface expressions…