Hydrological and Machine Learning Modeling

Dr. Noa-Yarasca is a post-doctoral research associate at Blackland Research and Extension Center- Texas A&M AgriLife Research since August 2022. His research interests focus on (1) Hydrological and ecological modeling based on physics and artificial intelligence involving conservation practices to achieve flow, water quality and ecological benefits, (2) Assessment of stakeholder's decision-making in watershed management conservation practices plans through decision-making support systems, (3) Time series characterization, modeling, and anomaly detection utilizing machine learning and deep learning approaches.

UNDERGRADUATE EDUCATION

B.S. Civil Engineering, National University of San Cristobal of Huamanga, PE.

GRADUATE EDUCATION

M.S. Hydraulics, National University of Engineering, PE.

M.S. Water Resources, Oregon State University, USA.

Ph.D. Water Resources, Oregon State University, USA.