Dr. Manoj K. Shukla is a Professor of Soil Physics in the College of Agricultural, Consumer, and Environmental Sciences at NMSU. He has provided research leadership by serving as Chair of two Western multistate research projects. He is a Technical Editor for the Soil Physics and Hydrology section of the Soil Science Society of America Journal, a Consulting Editor for the Vadose Zone Journal, and a member of the Unsaturated Zone technical committee for the American Geophysical Union. He also serves on the International Committee on Organization and Policy (ICOP). Dr. Shukla is a Visiting Professor at China Agricultural University. He has established global collaborations with several international universities in the areas of teaching, research, graduate program and junior faculty development, and faculty and student exchange. The AGG program has helped over 500 students gain valuable international experience. Dr. Shukla is a Fellow of the Soil Science Society of America and has received the distinguished career award from NMSU, along with two teaching awards. He has served as chair or member on more than 90 graduate student committees, authored four books, and published 170 refereed journal articles. He has secured more than $20 million in external grants. His current research focuses on developing novel methods to increase water use efficiency and assessing and modeling the impact of abiotic stresses across the soil, plant, and atmosphere continuum.
Dr. Yusen Yuan is a postdoctoral researcher in the Department of Plant and Environmental Sciences at NMSU. He serves as an editor for the Global Journal of Earth Science and Engineering and is a reviewer for Hydrology and Earth System Science, Journal of Hydro-environment, and Hydrology. He has published nine peer-reviewed journal articles and has an h-index of 5. His current research focuses on hydrological processes in the near-surface, evapotranspiration partitioning, plant-soil interactions, soil hydrodynamic models, water stable isotopes, eddy covariance, and both analytical and numerical models.
