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… Read More
NewsNews
Congratulations to our labmate Connor McCurley to be chosen as the Graduate Student of the Week for the week of October 8th!
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!
Welcome to our new undergraduate students!
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… Read More
Congratulations to our labmate Joshua Peeples for Winning 3 year travel award to attend the Board’s Institute on Teaching and Mentoring Conference!
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!
Bocinsky and McCurley present in DC
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!
Welcome new undergraduate student Jason Bonvie!
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!
Hyperspectral Tree Crown Classification Using the Multiple Instance Adaptive Cosine Estimator
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… Read More
Congratulations Mr. Shashank Avusali, our lab’s most recent M.S. graduate!
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… Read More
Welcome new PhD student Matthew Cook!
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… Read More
Congratulations to our labmate Akira Sewnath for winning the 2018 ECE Undergraduate Excellence Award!
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.