Publications

(2026). Tangent Schrödinger Bridge Matching: Learning Stochastic Transport with Mechanistic Sensitivities. In NeurIPS, AI for Stochastic Dynamics [Under review at ICLR 2027].
(2026). Adapting Actively on the Fly: Relevance-Guided Online Meta-Learning with Latent Concepts for Geospatial Discovery. In NeurIPS (Main Track).
(2026). Examining Reliance Patterns on AI Advice in Medical Imaging: A Mixed-Methods Randomized Crossover Experiment. In The Lancet Digital Health.
(2026). FOCUS on Contamination: Hydrology-Informed Noise-Aware Learning for Geospatial PFAS Mapping. In ICLR, Machine Learning for Remote Sensing [Spotlight Oral — ~ 10% acceptance, Best Paper Award] [Under review at AAAI 2027].
(2024). AI-Driven Predictive Modeling of PFAS Contamination in Aquatic Ecosystems: Exploring A Geospatial Approach. In NeurIPS, Climate Change AI.
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(2023). Crop and Weed Detection in Sunflower and Sugarbeet fields Using Single Shot Detectors. In IEEE COINS.
(2023). A Light-weight Cropland Mapping Model Using Satellite Imagery. In MDPI Sensors.
(2023). Detecting Vitamin A Deficiency in Schoolchildren Using an Enhanced Explainable Machine Learning Model. In IEEE ASET.
(2023). Machine Learning for Precision Agriculture Using Imagery from Unmanned Aerial Vehicles (UAVs): A Survey. In MDPI Sensors.
(2022). Detecting Replay Attack on Voice-Controlled Systems using Small Neural Networks. In IEEE RTSI.