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Welcome new PhD student Juan Diaz!

August 29, 2025

  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 […]

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Welcome new PhD student Clinton Jules!

August 28, 2025

  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 […]

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Welcome new PhD student Richa Dutt!

January 8, 2025

  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 […]

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Welcome new PhD student Aditya Dutt!

August 2, 2023

  The Machine Learning and Sensing Lab is excited to welcome Aditya Dutt as a new Ph.D. student! Aditya is pursuing a Ph.D. in Computer Science at UF. His research focus involves metric learning, sensor fusion and translation, synthetic data generation, and speech-emotion recognition (SER) using deep learning. The core of his Ph.D. research lies in developing […]

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Welcome new PhD student Satya Krishna Pothapragada!

August 28, 2022

  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 […]

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Welcome new PhD student Spencer Chang!

August 26, 2022

  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 […]

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Welcome new PhD student Matt Wein!

August 26, 2022

  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 […]

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Welcome new PhD student Anna Hampton!

August 26, 2022

  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 […]

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Welcome new PhD student Atayliya Irving!

August 26, 2022

  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 […]

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Welcome New Undergraduate Research Assistant Miguel Barrera!

May 17, 2022

The Machine Learning and Sensing Lab is excited to welcome our newest lab member, Miguel Barrera! Miguel is pursuing his undergrad in Electrical Engineering. he is interested in the creation and optimization of systems for data processing and will be assisting Prof. Alina Zare on the AI-Harvest project. You can also connect with Miguel on LinkedIn. […]

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