Category: News

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 […]

The Machine Learning and Sensing Lab is excited to welcome Matthew Cook to our lab as a new Ph.D. student! Matthew has recently been awarded the Graduate School Preeminence Award to fund his studies at the University of Florida! He has completed BS and MS in Electrical & Computer Engineering at the University of Missouri […]

Congratulations to our labmate, Akira Sewnath, for winning the 2018 ECE Undergraduate Excellence Award for her research. Akira is working on a study where she used possibilistic K-NN on Peanut Mesocarp Classification Application.

Our labmate Sheng Zou recently presented his work “Hyperspectral Unmixing with Endmember Variability using Partial Membership Latent Dirichlet Allocation” at AAG 2018 conference in New Orleans. Good job!

Congratulations to our labmate Joshua Peeples for winning a National Science Foundation Graduate Research Fellowship for his research entitled “Getting Active: AUVs for Automated Sea Understanding” ! Josh proposed a study into novel active learning techniques for automated undersea scene understanding using imagery collected from autonomous underwater vehicles. The NSF Graduate Research Fellowship Program (GRFP) […]

Congratulations to our lab alumna, Dr. Xiaoxiao Du, on her new appointment as a Senior Research Engineer at the University of Michigan! Dr. Du will be working on machine learning and computer vision methods for pedestrian perception and scene understanding. Congratulations Xiaoxiao! We are excited to follow your research career as you move forward! Best […]

The Machine Learning and Sensing Lab had a great time going through the low rope courses together at the Lake Wauburg this past weekend! We had a lot of fun accomplishing every mission together. We followed up our success at the course with lunch at La Tienda.