Friday, January 19, 2024
10:20 a.m. – 11:10 a.m. (CST)
ETB 1020
Dr. Kevin Nowka
Professor of Practice, Department of Electrical and Computer Engineering
Texas A&M University
Title: “Systems and Machine Learning Research for Application in Digital Agriculture“
Abstract
Agricultural practices developed during the Green Revolution of the 1960s to 1980s are insufficient to deal with future global demands for food, especially with increasing natural resource controls. Digital Agriculture research is allowing for continued improvements in crop yields and crop quality with better management practices and more efficient resource utilization. This talk will cover how use of large agricultural datasets and modern machine learning allows agricultural researchers and producers to improve predictability of crop health and crop yields in support of improved agricultural management practices. Recent research on integration of ML with crop imaging from drones and satellites for wheat, cotton, and sorghum will be presented. Finally, integration of learning systems into agriculture infrastructure will be described.
Biography
Dr. Kevin Nowka is a Professor of Practice in the Texas A&M University Department of Electrical and Computer Engineering. His research focuses on optimizing computer hardware and software and learning models for data-intensive, cognitive and AI applications.
He received a B.S. in Computer Engineering from Iowa State University in 1986 and M.S. and Ph.D. degrees in Electrical Engineering from Stanford University in 1986 and 1995, respectively.
Previously he was the Director of IBM Research – Austin, one of IBM’s 12 global research laboratories and was the IBM Senior State Executive for Texas. Prior to coming to IBM he was a Member of Technical Staff at AT&T Bell Labs.
Dr. Nowka has been granted 135 US Patents and has over 100 publications.
More on Kevin Nowka
https://www.linkedin.com/in/kevin-nowka-6587715b/ or https://www.researchgate.net/profile/Kevin-Nowka
More on CESG Seminars: HERE
Please join on Friday, 1/19/24 at 10:20 a.m. in ETB 1020.