Category: News

Abstract: Purpose: Root system architectures are complex, multidimensional, and challenging to characterize effectively for agronomic and ecological discovery. Methods: We propose a new method, Spatial and Texture Analysis of Root System architecture with Earth mover’s Distance (STARSEED), for comparing root architectures that incorporate spatial information through a novel application of the Earth Mover’s Distance (EMD). […]

We are pleased to welcome Brian Hicks as one of our new undergraduate research assistants in 2021! Brian majors in Computer Science in the UF Department of Computer & Information Science & Engineering. Brian works on segmentation of Blueberry root images. The goal is to apply a model pre-trained on Peanut root images to Blueberry […]

We are pleased to welcome Matthew Schrank as one of our new undergraduate research assistants in 2021! Matthew majors in Computer Science in the UF Department of Computer & Information Science & Engineering. He joins us the UF team of 9-university project that aims at developing switchgrass strains, which can be converted to biofuel while […]

Congratulations to our labmates and collaborators: Tierui Zou, Nader Aljohani, Keerthiraj Nagaraj, Sheng Zou, Cody Ruben, Arturo Bretas, Alina Zare and Janise McNair! Their paper, “A Network Parameter Database False Data Injection Correction Physics-Based Model: A Machine Learning Synthetic Measurement-Based Approach “, was recently accepted to Applied Sciences. In the paper, the authors present an […]

We are excited to welcome Darren Koenenn as a new Ph.D. student to The Machine Learning and Sensing Lab! Darren earned his B.S. in Computer Science at the University of South Alabama in 2016. Darren is a *SMART scholar in collaboration with U.S. Naval Surface Warfare Center Panama City Division. He plans on researching topic […]

The Machine Learning and Sensing Lab is excited to welcome Timothy Lu as one of our new PhD students in Fall 2021! Tim has recently earned his B.S. in Computer Engineering at the University of Wisconsin-Stout. He is starting to work on data reconstruction powered by Machine Learning. This is a subject Tim would like […]

  The Machine Learning and Sensing Lab is excited to welcome Meilun Zhou as a new Ph.D. student! Meilun received a SMART (Science, Mathematics, and Research for Transformation) Scholarship from the Department of Defense, which funds his PhD research. He received his BS degree in Computer Engineering from the Mississippi State University, Starkville, MS in […]

The Machine Learning and Sensing Lab is excited to welcome Khaled Hamad as a new Ph.D. student! Khaled received his MS degree in Electrical & Computer Engineering from the University of Florida in August 2021. He recently presented a new Machine Learning prediction model for Cyber-Physical Security for Smart Grid, and submitted his paper for the […]

Abstract: Delineating and classifying individual trees in remote sensing data is challenging. Many tree crown delineation methods have difficulty in closed-canopy forests and do not leverage multiple datasets. Methods to classify individual species are often accurate for common species, but perform poorly for less common species and when applied to new sites. We ran a […]

Congratulations to our labmate, Josh Peeples,  who was recently named an SEC Emerging Scholar!   The SEC Emerging Scholars program was designed to promote historically underrepresented groups to seek out academic positions in the SEC.  As a scholar, Josh is invited to attend a multi-day workshop where representatives from all fourteen SEC schools will host presentations […]