Category: News

Abstract: Measuring forest biodiversity using terrestrial surveys is expensive and can only capture common species abundance in large heterogeneous landscapes. In contrast, combining airborne imagery with computer vision can generate individual tree data at the scales of hundreds of thousands of trees. To train computer vision models, ground-based species labels are combined with airborne reflectance […]

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Anthony Khoury! Anthony is a senior Computer Engineering student currently working on the Navy Project and he is very interested in Machine Learning and its impact on finance and medicine. He is involved with a few organizations including Theta Tau, Arab […]

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

Congratulations to our labmates and collaborators: Aditya Dutt, Alina Zare, and Paul Gader! Their paper, “Shared Manifold Learning Using a Triplet Network for Multiple Sensor Translation and Fusion with Missing Data”, was recently accepted to IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022. In the paper, the authors developed a […]

  The Machine Learning and Sensing Lab is excited to welcome Satya Krishna Pothapragada as a new Ph.D. student! Satya Krishna is a PhD student from India who is interested in applying Artificial Intelligence and Machine Learning Techniques to solve real world problems. He received his BTech in Electrical and Electronics engineering from Jawaharlal Nehru […]

  The Machine Learning and Sensing Lab is excited to welcome Spencer Chang as a new Ph.D. student in our group! Spencer Chang is from California and interested in practically all things related to machine and deep learning. He received a BS in Computer Engineering (June 2017) and MS in Computer Science (June 2019) from […]

  The Machine Learning and Sensing Lab is excited to welcome Matt Wein as a new PhD student! Matt will be analyzing hyperspectral imagery for macrosystems under the Integrating Data science with Trees and Remote Sensing (IDTReeS) project. Matt’s research interests include computer vision, time series data, cybernetics, and artificial intelligence. Matt spends most of […]

  The Machine Learning and Sensing Lab is excited to welcome Anna Hampton as a new Ph.D. student! Anna is a first year PhD student. She received her undergraduate degrees in mathematics and statistics from the University of Florida. Her research interests include applying machine learning techniques to plant science and agriculture. In her free […]

  The Machine Learning and Sensing Lab is excited to welcome Atayliya Irving a first year Ph.d. student interested in machine learning and artificial intelligence with a focus on human interactions! Atayliya received her B.S. degree in computer science from Jackson State University in the spring of 2022. She will be working on the DARPA […]

It is a great pleasure and honor for everyone in Gatorsense that one of our labmates has achieved his goal. Congratulations to Dr. Connor McCurley for graduating with his Ph.D.! Connor’s dissertation is titled “Discriminative Feature Learning with Imprecise, Uncertain, and Ambiguous Data.” Connor developed approaches for discriminative representation learning using weakly-labeled ground-truth. He explored methods […]