Category: News

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Chandler Trousdale!  Chandler is a fourth year Computer Engineering major at the University of Florida and will be working on our Army Research Office project. Welcome to our lab, Chandler!

Congratulations to our labmate, Dylan Stewart, for passing his Oral Qualifying Exam and becoming a PhD candidate!  For the remainder of his PhD work, Dylan plans to investigate fundamental research questions on “Alignment and Scene Understanding for Multi-look Remote Sensing Modalities”. We are excited to see what comes from his work! Great job, Dylan!

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Anthony Baldino!  Anthony is an Electrical & Computer Engineering major at the University of Florida and will be working on our Army Research Office project. Welcome to our lab, Anthony!

Classes began this week in Gainesville, and while this semester looks a bit different, the Machine Learning and Sensing Lab could not be more excited!  We are anticipating a great school year with plenty of new collaboration, new discoveries,  new faces and new (physically distant) experiences. Stay posted for updates on what’s happening in the […]

Congratulations to our labmates and collaborators: Guohao Yu, Alina Zare, Weihuang Xu, Roser Matamala, Joel Reyes-Cabrera, Felix B. Fritschi and Thomas E. Juenger!  Their paper, “Weakly Supervised Minirhizotron Image Segmentation with MIL-CAM” was recently accepted to the 16th European Conference on Computer Vision (ECCV) Workshop on Computer Vision Problems in Plant Phenotyping (CVPPP 2020).   Their […]

Abstract: We present a multiple instance learning class activation map (MIL-CAM) approach for pixel-level minirhizotron image segmentation given weak image-level labels. Minirhizotrons are used to image plant roots in situ. Minirhizotron imagery is often composed of soil containing a few long and thin root objects of small diameter. The roots prove to be challenging for […]

In response to the recent AI initiative launched by the University of Florida, the UF Informatics Institute (UFII) is hosting a virtual seminar series, “AI Advances and Applications”.  The online series will feature innovative work being conducted in AI and Machine Learning across the university, and will include a talk by Alina Zare. Sessions will […]

Congratulations to our labmates and collaborators Keerthiraj Nagaraj, Nader Aljohani, Sheng Zou, Cody Ruben, Arturo Bretas, Alina Zare and Janise McNair!  Their paper, “State Estimator and Machine Learning Analysis of Residual Differences to Detect and Identify FDI and Parameter Errors in Smart Grids” , was recently accepted to the 2020 North American Power Symposium (NAPS). Check […]

Abstract: In the modern Smart Grid (SG), cyber-security is an increasingly important topic of research. An attacker can mislead the State Estimation (SE) process through a False Data Injection (FDI) on real-time measurement values or they can attack the parameters of the network that represent the system topology. While research has been done in SE […]

Abstract: This paper presents a cross-layer strategy for detecting a variety of potential cyber-attacks on the Smart Grid. While most literature focus on False Data Injection attacks on the measurements taken throughout the Smart Grid, there are many ways in which an attacker can affect power system real-time operation. Namely, an attacker can focus on […]