Clint P. George

clint [at] iitgoa.ac.in
+91 832 249 0117 (Extn. 117)
F-9, New Academic Block A, IIT Goa

Clint P. George


I am an Associate Professor in the School of Mathematics and Computer Science at IIT Goa. I was previously a postdoc at the Informatics Institute and Department of Statistics, University of Florida with Dr. George Michailidis. I received Ph.D. and M.S. from the Department of Computer and Information Science and Engineering, University of Florida. Dr. Joseph N. Wilson (CS) and Dr. Hani Doss (Stats) were my Ph.D. advisers. I completed B. Tech. in Computer Science and Engineering from the College of Engineering Thiruvananthapuram, University of Kerala.

I work in the area of machine learning and applied statistics, which includes

  • Topic models
  • Empirical Bayes methods
  • Markov chain Monte Carlo (MCMC) and variational inference methods
  • Cancer genomics

During my Ph.D., I collaborated with the UF Data Science Research Lab, Dr. Daisy Wang (CS), and Dr. Bill Hamilton (Law), for the UF Law E-Discovery and SurveyMonkey data mining projects.

I code @clintpgeorge (Github).

My current research, students, collaborations are here.

Education


Employments and Positions


Articles

Google Scholar | Scopus ID: 37561278500 | ORCiD ID: 0000-0003-3630-9811 | ResearcherID: D-1846-2011

Analyses of Multi-collection Corpora via Compound Topic Modeling. arXiv code
P. George, C., Xia, W., and Michailidis, G. (2019). The Fifth International Conference on Machine Learning, Optimization, and Data Science, Siena – Tuscany, Italy.
Investigating the Usage Patterns of Algebra Nation Tutoring Platform. article
Akhavan Niaki, S., P. George, C., Xia, W., Michailidis, G., Beal, C.R. (2019). Proceedings of the 9th International Conference on Learning Analytics & Knowledge. Arizona, USA. p. 481-490. ACM.
The Impact of an Online Tutoring Program for Algebra Readiness on Mathematics Achievements; Results of a Randomized Experiment. article
Akhavan Niaki, S., P. George, C., Xia, W., Michailidis, G., Beal, C.R. (2019). Proceedings of the 9th International Conference on Learning Analytics & Knowledge. Arizona, USA. p. 363-372. ACM.
Principled Selection of Hyperparameters in the Latent Dirichlet Allocation Model. article supplement code
P. George, C. and Doss, H. (2018). Journal of Machine Learning Research.
A Topic-Based Search, Visualization, and Exploration System. article
Grant, C., P. George, C., Kanjilal, V., Nirkhiwale, S., Wang, D. Z., and Wilson, J. N. (2015). FLAIRS-28, Hollywood, Florida, USA.
Latent Dirichlet Allocation: Hyperparameter Selection and Applications to Electronic Discovery. thesis
P. George, C. (2015). Ph. D. Dissertation. University of Florida.
SMART Electronic Legal Discovery via Topic Modeling. article
P. George, C.,  Puri, S., Wang, D. Z., Wilson, J. N., and Hamilton, W. (2014). FLAIRS-27, Pensacola, Florida, USA.
A Machine Learning Based Topic Exploration and Categorization on Surveys. article
P. George, C.,  Wang, D. Z., Wilson, J. N., Epstein, L. M., Garland, P., Suh, A. (2012). ICMLA, Boca Raton, Florida, USA.
Online Topic Modeling for Real-time Twitter Search. article
Grant, C., P. George, C., Jenneisch, C., and Wilson, J. N. (2011). TREC Notebook. NIST. USA.
Topic Learning and Inference Using Dirichlet Allocation Product Partition Models and Hybrid Metropolis Search. technical report
P. George, C., Glenn, T. C., Wilson, J.N., Gader, P. D., Fuentes, C., Gopal, V., and Casella, G. (2011). Technical Report. Computer and Information Science and Engineering, University of Florida.
Dirichlet Allocation Using Product Partition Models. technical report
Fuentes, C., Gopal, V., Casella, G., P. George, C., Glenn, T. C., Wilson, J.N., and Gader, P. D., (2011). Technical Report. Computer and Information Science and Engineering, University of Florida.
Morpheus: A Deep Web Question Answering System. article
Grant, C., P. George, C., Gumbs, J., Wilson, J. N., and Dobbins, P. D. (2010). iiWAS. Paris, France.
A Realm based Question Answering System using Probabilistic Modeling. thesis
P. George, C. (2010). MS Thesis. University of Florida.


Teaching @ IIT Goa

CS230/561: Probability and Statistics for Computer Science, Fall 2024
CS102: Software Tools, Spring 2024, Spring 2023, Spring 2022
CS101: Introduction to Computing, Fall 2023, Fall 2022, Fall 2021 , Spring 2021
CS344/386: Artificial Intelligence (Theory + Lab), Fall 2020 , Fall 2019 , Fall 2018
CS360/530: Machine Learning, Spring 2020 , Spring 2019
CS101: Introduction to Computing, Summer 2018
Co-teaching with Sreejith A.V. and Sharad Sinha