The Ohio State University
Advancing machine learning, distributed systems, and intelligent computation for real-world impact.
Computer Vision
Real-time computer vision and deep learning system for automated weld defect detection in industrial manufacturing environments.
View projectLarge Language Models
Scalable RAG-based chatbot for domain-specific knowledge ingestion and intelligent question answering.
View projectComputer Vision
An end-to-end pipeline consisting of an eco-system of tools that collect, deliver, process, infer and transform the data to produce various visual and actionable results for agricultural use cases.
View project2026 · Conferences & Workshops
Luke Meyers, Anirudh Potlapally, Yuyan Chen, Mike Long, Tanya Berger-Wolf, Hari Subramoni, Remi Megret, Daniel Rubenstein
Workshop on Camera Traps, AI and Ecology
2026 · M.S. Theses
Brijesh Nanda Brunda Yogananda
The Ohio State University
2026 · M.S. Theses
Pratham Sharma
The Ohio State University
2026 · M.S. Theses
Khushboo Mundada
The Ohio State University
2025 · Journal
L Waltz, S Katari, C Hong, A Anup, J Colbert, A Potlapally, T Dill, C Porter, J Engle, C Stewart, H Subramoni
Frontiers in Artificial Intelligence 7, 1496066
Join the lab
Explore research opportunities for undergraduate, master’s, and K–12 students, along with expectations for working with the lab.
SAI Lab brings precision spot spraying, Smart Labeler, Intelligent Edge Management Service (IEMS), and Ask the Farm to Farm Science Review 2026, connecting field data collection, AI, high-performance computing, and agricultural decision support.
SAI Lab Showcases ICICLE-Enabled Agricultural AI at AgWireless’26 and the Farm Progress Show; Brijesh Nanda B Y receives Best Poster Award for the No-Code Workflow Studio; the SAI Lab team engages farmers, researchers, and industry partners on practical AI and edge-computing challenges in agriculture.
Ohio State undergraduates Amrithaa Ashok Kumar, Aarush Katta, and Maanav Jajodia advanced to Round 2 of AISEHack 2.0 in the Remote Sensing and Yield Prediction track.
SAI Lab / ICICLE members presented AI and cyberinfrastructure tools to high school students at ExploreAg — Ag Technology Camp, with hands-on demos of Smart Labeling, Segmentation, and Intelligent Edge Management services.
Faculty and students from the SAI Lab attended An Evening of Inquiry at the Columbus School for Girls on April 28, 2026, celebrating student-led research and K–12 engagement in AI.
SAI Lab graduate researchers Satyaki Roy Chowdhury and Aswathnarayanan Radhakrishnan presented posters on satellite bathymetry and geospatial AI at CSE Graduate Visit Day.
SAI Lab graduate researcher, Satyaki Roy Chowdhury, presented posters on satellite bathymetry at WACV.
ICICLE researchers mentored high school students participating in the Presidential AI Challenge, guiding teams through problem formulation, ethical AI considerations, and solution development.
Members of the SAI Lab team, part of the NSF ICICLE AI Institute, demonstrated AI-enabled digital agriculture tools at Farm Science Review 2025, highlighting practical HPC and AI workflows for on-farm decision-making.
