Category: News

Congratulations to our labmates Guohao Yu, Alina Zare and Hudanyun Sheng, as well as collaborators, Roser Matamala, Joel Reyes-Cabrera, Felix Fritschi and Thomas Juenger! Their paper, “Root Identification in Minirhizotron Imagery with Multiple Instance Learning”, was recently accepted to Machine Vision and Applications! Their paper explores the use of multiple instance learning to segment minirhizotron […]

Congratulations to our labmates Jose Ruiz-Munoz and Alina Zare as well as collaborators Jyothier Nimmagadda, Tyler Dowd and James Baciak!  Their paper, titled “Super Resolution for Root Imaging”, was recently accepted to Applications in Plant Sciences (APP). If you’re interested in learning about a super-resolution framework for enhancing images of plant roots by using convolutional […]

Caleb Wong Nancy Newlin Sky Myers   The Machine Learning and Sensing Lab is excited to welcome our newest lab members, Caleb Wong, Nancy Newlin and Sky Myers!  All three are Computer Science majors at the University of Florida and will be working on our SENTINEL project, which aims at using machine learning to detect […]

Congratulations to Dr. Alina Zare!  She was recently presented the 2020 Faculty Excellence Research Award by University of Florida’s Department of Electrical and Computer Engineering.  Dr. Zare works day in and day out to ensure she is performing high-quality, ethical and repeatable research.   She strives to make cutting-edge discoveries across a variety of fields and […]

Congratulations to UF’s graduating class of Spring 2020!  The MLSL would like to recognize our very own undergraduate researchers, Sofia Vega and Tyler Fonzi.  Tyler will be transitioning to the workforce this Fall, while Sophia will be continuing her education at Harvard University in pursuit of a PhD degree in biostatistics. You both are going to […]

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Maggie Hantak! Maggie received her Ph.D. from Ohio University in 2019.   She studies the ecological and evolutionary processes that maintain genetic and phenotypic variation within and among populations, specifically, in woodland salamanders.   Maggie will be using machine learning to score salamander […]

Congratulations to our labmates, Weihuang Xu, Guohao Yu and Alina Zare, as well as collaborators Brenden Zurweller, Diane Rowland, Joel Reyes-Cabrera, Felix Fritschi, Roser Matamala and Thomas Juenger!  Their paper, titled “Overcoming Small Minirhizotron Datasets Using Transfer Learning”, was recently accepted to Computers and Electronics in Agriculture.  Check it out here!

Congratulations to our labmate, Josh Peeples, for passing his Oral Qualifying Exam and becoming a PhD candidate!  For the remainder of his PhD work, Josh plans on investigating fundamental research questions on “Connecting the Past and the Present: Histogram Layers for Deep Neural Networks”. His committee thinks it’s an interesting topic — and we do […]

The Machine Learning and Sensing Lab is excited to welcome Justin Pitts to our lab as a new Ph.D. student! Justin completed his BS in Biology at Stetson University and MS in Forestry at Mississippi State University. He will be working in our lab as well as Dr. Rowland’s lab under the Center for Stress […]

Congratulations to our labmate, Weihuang Xu, for accepting an internship at Volkswagen Group of America! Wei will be interning this summer on VW’s California-based team in the ICC-Perception and Machine Learning group. Great job, Wei!