Category: News

Our labmates Zou Sheng and Weihuang Xu recently presented their work on peanut maturity estimation and root segmentation at Plant Phenomics in Tucson, AZ. They did a great job presenting their work – and both received a 2019 Travel Award!

Abstract: Existing polarimetric synthetic aperture radar (PolSAR) image classification methods cannot achieve satisfactory performance on complex scenes characterized by several types of land cover with significant levels of noise or similar scattering properties across land cover types. Hence, we propose a supervised classification method aimed at constructing a classifier based on self-paced learning (SPL). SPL […]

The Machine Learning and Sensing Lab is excited to welcome our newest lab member Susan Meerdink! Susan got her M.S. and Ph.D. degrees from University of California Santa Barbara. She studies the ability to map plant species across seasons in diverse ecosystems and uses various technologies to study plant health across environmental gradients and physiology’s […]

Our labmate, Connor McCurley, was chose as the Graduate Student of the Week for the week of October 8th. He will talk about Machine Learning and Sensing Lab and also his research in the past years. Congratulations, Connor!

The Machine Learning and Sensing Lab is excited to welcome our newest lab members Alyssa Bowles, Caleb Robey, Layiwola Lawrence Ibukun, Jake Samuelson, Ross Spencer, Val Christian and Yutai Zhou! They will be working on : Alyssa, Ross, and Val will be working on our project in supervised learning from incomplete and uncertain data funded […]

Congrats to our labmate Joshua Peeples for receiving a 3 year travel award to attend the 2018 Southern Regional Education Board’s Institute on Teaching and Mentoring conference , held on October 25-28, 2018!

Our labmates James Bocinsky and Connor McCurley recently presented their work on buried explosive object detection at a project meeting in Washington D.C. They did a great job presenting their work – and had some time to see the sights!

The Machine Learning and Sensing Lab is excited to welcome our newest lab member Jason Bonvie! Jason is a senior computer engineering undergraduate student. He will be contributing to our plant root phenotyping research. Welcome to our lab, Jason!

Abstract: Tree species classification using hyperspectral imagery is a challenging task due to the high spectral similarity between species and large intra-species variability. This paper proposes a solution using the Multiple Instance Adaptive Cosine Estimator (MI-ACE) algorithm. MI-ACE estimates a discriminative target signature to differentiate between a pair of tree species while accounting for label […]

Congratulations to Mr. Shashank Avusali for graduating with his M.S. this past week! His thesis is titled “Three Dimensional Reconstruction of Plant Roots via Low Energy X-ray Computed Tomography.” His research focused on generating a three-dimensional model of a plant root system in a non-invasive and non-destructive manner. His work was to develop image processing […]