Laxman Bokati

Arizona State University, United States

Laxman Bokati is a researcher at Arizona State University. He specializes in decision-making under uncertainty, leveraging machine learning, geosciences, and environmental science to analyze complex data. Laxman develops advanced models to predict soil organic carbon and forecast streamflows, using artificial intelligence to address environmental challenges. His work focuses on soil conservation, carbon sequestration, and water resource management, transforming intricate data into meaningful insights for sustainable environmental practices. Laxman is dedicated to improving environmental outcomes through innovative data analysis and machine learning techniques.

Disclosure information not submitted.

Presentation(s):

• Multi-Model and Multi-Scale Operational Streamflow Forecasting in Arid and Semi-Arid Regions Using Machine Learning and Data Synergy

  Monday, May 19, 2025
  5:15 PM – 5:30 PM Alaska Daylight Time (AKDT)

• Using Convolutional Neural Networks and Transfer Learning for Soil Organic Carbon and Plant Available Water Modeling in Data-Sparse Regions

  Tuesday, May 20, 2025
  10:30 AM – 10:45 AM Alaska Daylight Time (AKDT)