Machine Learning Seminar
Speaker: Baskar Ganapathysubramanian, Iowa State University
Title: Machine learning applications in plant phenotyping and materials-by-design
Refreshments available at 2 pm.
Date: Mon, 24 Sep 2018, 2:15 pm – 3:15 pm
Location: 1400 BPS Bldg.
Machine learning approaches have been deployed with significant success in a variety of applications. This has been driven in part by the availability of larger and larger datasets that can be utilized to train the models. While collecting data no longer seems to be an issue, a bottleneck now is the availability (i.e., creation) of good, labelled data. Labelling data either requires human experts to painstakingly assess the data (agriculture application) or have a computationally expensive simulator interrogate the data (materials-by-design application). There has been increasing interest in doing ‘more with less’ with respect to availability of labeled data. I will discuss some of the collaborative work performed in this area, which is driven by the applications in agriculture and materials science.
The first application (maize tassel detection in fields) involves object detection in a large set of cluttered, noisy images. I will discuss how crowd sourcing is used as a means of collecting noisy labels, and outline approaches used to utilize these labels to bootstrap to better labeled data. The second application (microstructure-sensitive property) involves microstructure design for (organic) photovoltaic application. The microstructure → property simulator is computationally expensive. I will discuss how a small labeled data set is created by adaptively sampling from the input space. The deep learning model build using this data is subsequently used to rapidly design optimal microstructures exhibiting enhanced photovoltaic performance.
This work is collaborative work with the Schnable group (agriculture application) and the Sarkar group (both applications)
Baskar Ganapathysubramanian is a Professor of Mechanical Engineering at Iowa State University. He runs a curiosity-driven computational science research group. His research interests are in leveraging concepts in applied mathematics and scientific computing to solve problems in sustainability science—with a specific focus on agriculture, health and energy. Ganapathysubramanian completed his PhD and MS from Cornell University and holds a BS degree from the Indian Institute of Technology-Madras. He is a faculty fellow of the Plant Science Institute at Iowa State University.