Tag: phd

  The Machine Learning and Sensing Lab is excited to welcome Juan Diaz as a new Ph.D. student! Juan received his Electrical & Computer Engineering bachelor and master’s degree from the University of Florida. He received his bachelors in spring 2022 and his master’s in Fall 2023. Afterwards He became a Machine Learning Engineer in […]

  The Machine Learning and Sensing Lab is excited to welcome Clinton Jules as a new Ph.D. student! Clinton received his MS degree in Computer Science from Washington University in St. Louis in December 2023. He recently completed an internship at the Johns Hopkins Applied Physics Laboratory working with Agentic AI. Clinton will be working […]

It is a great pleasure and honor for everyone in Gatorsense that one of our labmates has achieved his goal. Congratulations to Dr. Spencer Chang for graduating with his Ph.D.! His dissertation title is: Enhancing Semantic Segmentation with Locally Learned Histogram Features. He’s now bringing his expertise in computer vision and machine learning to the […]

Congratulations to Dr. Matthew Cook for successfully passing his PhD dissertation exam! Dr. Cook’s research centers on developing algorithms that use null space projections within neural networks to add additional functionality. The primary application of this method is detecting out-of-distribution data, such as encountering unexpected objects during Automatic Target Recognition data collections. Moreover, results showed […]

Congratulations to Dr. Aditya Dutt for successfully passing his PhD dissertation exam! Dr. Dutt’s research introduced the Contrastive MultiModal Alignment Network (COMMANet), a novel approach to shared manifold-based domain translation and fusion. His work addressed the challenge of limited and imbalanced labeled datasets by leveraging contrastive learning with triplet networks to align multimodal data—such as […]

Congratulations to Dr. Spencer Chang for successfully passing his PhD dissertation exam! Dr. Chang’s research demonstrated the potential of combining learnable histogram features with deep learning convolutional methods. Additionally, he delivered key insights into enhancing statistical texture feature learning and explored the nuances of embedding histogram layers to maximize their impact within feature extraction pipelines. […]

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Ron Fick! Ron is a remote sensing expert dedicated to improving water quality through advanced data analysis. His work focuses on using remotely sensed data to monitor and mitigate environmental challenges like red tide. He co-developed the Septic to Sewer Conversion […]

  The Machine Learning and Sensing Lab is excited to welcome Richa Dutt as a new Ph.D. student! Richa is a Ph.D. student in Computer Science at the University of Florida, specializing in hyperspectral unmixing across diverse domains, including terrestrial and underwater environments, using deep learning techniques. Her research aims to develop innovative approaches for spectral analysis […]

It is a great pleasure and honor for everyone in Gatorsense that one of our labmates has achieved his goal. Congratulations to Dr. Justin Pitts for graduating with his Ph.D.! During his time with the lab, Justin utilized machine learning to better understand the physiological responses of both coffee and peanut crops to environmental stressors. His […]

It is a great pleasure and honor for everyone in Gatorsense that one of our labmates has achieved his goal. Congratulations to Dr. Justin Pitts for graduating with his Ph.D.! During his time with the lab, Justin utilized machine learning to better understand the physiological responses of both coffee and peanut crops to environmental stressors. His […]