应农学院与甘肃省干旱生境作物学重点实验室邀请，中田纳西州立大学（School of Agriculture at Middle Tennessee State University）农学院教授崔嵩 博士将于2019年06月11日来我校进行学术交流。欢迎全校师生参加。
讲座题目：Moving Agricultural Research Forward through Machine Learning:Flux Data Modeling and Remote Sensing
Dr. Song Cui简介
He received his B.S. in Agricultural Science from Lanzhou University (China) in 2006, and his Ph.D. in Crop Science from Texas Tech University in 2011.
He is a broadly trained agronomist with expertise in big data algorithms, crop physiology, forage production,simulation modeling, soil and boundary layer flux (CO2, water vapor, and greenhouse gases) measurements, and large-scale agroecosystem studies addressing issues such as water sustainability and climate change. Particularly, Dr. Cui is interested in integrating machine learning techniques into advanced agronomic research domains, including remote sensing, bioinformatics, meta-analysis, and plant growth/ecological modeling. Furthermore, as a field agronomist by training, Dr. Cui enjoys conducting variety trials and cropping system research on various row, forage, and specialty crops in different agroecosystems.
Dr. Cui has authored and co-authored more than 20 high-impact journal articles since 2013. He has served as reviewers for more than ten peer-reviewed journals and had reviewed more than 20 journal articles in the past five years. Furthermore, Dr. Cui has served as the Principal Investigator for more than $1.9M externally funded research projects (mainly from USDA-NIFA) since 2013. Collectively, He has involved in more than $7M collaborative projects nationwide. Dr. Cui is currently serving as the Vice-Chair of the Airborne and Satellite Remote Sensing Community of the American Society of Agronomy, will move on to serve as the Chair in 2020. Meanwhile, he is also serving as the Elected Secretary/Treasurer of Southern Branch of the American Society of Agronomy, will move on to serve as the Vice President in 2021 and President in 2022. Dr. Cui has served as an external grant reviewer panelist on six external funding programs since 2013, including four USDA-NIFA sponsored competitive funding programs. Dr. Cui frequently mentors undergraduate and graduate student research projects and teaches courses including Forage Crop Production, Field Crop Production, Crop Ecophysiology, and Agricultural Statistics and Data Analysis.