Clint Pazhayidam George

About

I am currently an Assistant Professor in the School of Mathematics and Computer Science. I was previously a postdoctoral associate at the University of Florida Informatics Institute (UFII) under the guidance of Dr. George Michailidis. I graduated from the Department of Computer and Information Science and Engineering, University of Florida with a doctorate in Computer Engineering. My doctoral advisers were Dr. Joseph N. Wilson (CISE) and Dr. Hani Doss (Stats).

My research interests include:
* Topic modeling
* Empirical Bayes methods
* Markov chain Monte Carlo (MCMC) methods
* Document clustering and classification

Employment

• Indian Institute of Technology Goa Assistant Professor
  2018 - Present
• University of Florida Postdoctoral Associate
  2016 - 2018

Education

• University of Florida Ph.D.
  2011 - 2015
• University of Florida Master of Science
  2008 - 2010
• College of Engineering Trivandrum Bachelor of Science
  2000 - 2004

Projects & Funding

Projects & funding information is unavailable.

Publications (15)

• Misinformation detection on YouTube using video captions
  Online Social Networks and Media 2026 DOI: 10.1016/j.osnem.2026.100345
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• Chillers fault identification using volunteered minority oversampling via OC-SVM with bounding and minimizing loss
  Expert Systems with Applications 2026 DOI: 10.1016/j.eswa.2025.130828
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• HyP-ECA: An Attention for Aerial Tree Crown Delineation and Species Classification
  2026 DOI: 10.1007/978-3-031-93691-3_17
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• SkyGuard: Semi-supervised Drone Technology for Real-Time Traffic Rule Enforcement
  2026 DOI: 10.1007/978-3-031-93691-3_10
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• A severity indicator for unsupervised fault severity shift detection of Heating, Ventilation, and Air Conditioning sub-system faults using a novel adaptive feature weighing method
  Engineering Applications of Artificial Intelligence 2025 DOI: 10.1016/j.engappai.2025.112305
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• Shielding against online harm: A survey on text analysis to prevent cyberbullying
  Engineering Applications of Artificial Intelligence 2024 DOI: 10.1016/j.engappai.2024.108241
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• A machine learning framework for detection and severity estimation of faults for chillers and air handling units in HVAC systems
  Energy and Buildings 2024 DOI: 10.1016/j.enbuild.2024.114235
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• On the Variability in Cell and Nucleus Shapes
  Cells Tissues Organs 2024 DOI: 10.1159/000527825
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• Convolutional Neural Networks: Alternate Drivers' Visual Perception
  IEEE Potentials 2020 DOI: 10.1109/MPOT.2019.2942072
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• Analyses of Multi-collection Corpora via Compound Topic Modeling
  2019 DOI: 10.1007/978-3-030-37599-7_18
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