777 E university Dr Walton Center for Planetary Health
Tempe, AZ 85287
Mail code: 3005
Laxman is a Postdoctoral Research Scholar in the School of Sustainable Engineering and the Built Environment. His interests lie in the field of decision-making under uncertainty, and its applications to machine learning, geosciences, and education. His current research focuses on Identifying different sources of soil carbon data and developing methods to homogenize new and existing soil data. He is working on developing homogenized global soil health, soil carbon and agriculture database in order to develop data-driven AI/ML models to explain soil health and soil carbon assimilation potential.
My interests lie in the field of decision-making under uncertainty, and its applications to machine learning, geosciences, and education. In particular, I am interested in developing and applying theoretical models that can help to explain seemingly odd behaviors and patterns that may occur when making decisions based on incomplete or uncertain information.
I am also interested in using data analysis and machine learning techniques to find patterns or support decision-making in various contexts. Overall, my research aims to contribute to a deeper understanding of decision-making under uncertainty and to develop methods and approaches that can help to improve decision-making in a range of practical applications.