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Welcome new PhD student Meilun Zhou!

August 27, 2021

  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 […]

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Welcome new PhD student Khaled Hamad!

August 27, 2021

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 […]

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WELCOME NEW PHD STUDENT RITESH CHOWDHRY!

March 30, 2021

The Machine Learning and Sensing Lab is excited to welcome Ritesh Chowdhry as a new Ph.D. student! Ritesh will receive his MS degree in Electrical & Computer Engineering from the University of Florida in May 2021. In our lab, Ritesh will be working on machine learning techniques for use in agronomic applications. Welcome to our […]

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CONGRATULATIONS TO DR. SHENG ZOU, OUR LAB’S LATEST PHD GRADUATE!

March 17, 2021

  Congratulations to Dr. Sheng Zou for graduating with his Ph.D.! Sheng’s dissertation is titled “Classification with Multi-Imprecise Labels.” His research focused on developing classification approaches under the multiple instance learning framework. The goal of Sheng’s work was to model class variability using discriminative probabilistic distributions and multiple types of imprecise labels. Read about more […]

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WELCOME NEW PHD STUDENT AUSTIN KREULACH!

September 18, 2020

The Machine Learning and Sensing Lab is excited to welcome Austin Kreulach as a new Ph.D. student! Austin recently completed BS degrees in both Computer Science & Mathematics at the University of Arkansas in Fayetteville, AR. In our lab, Austin will be working on machine learning techniques for the analysis of synthetic aperture sonar. Welcome […]

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