Sachintha Pitigala
Visiting Assistant Professor of Computer Science
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Olin 146
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509-527-5880
Dr. Sachintha Pitigala is a Visiting Assistant Professor of Computer Science at Whitman College. He began his teaching career as an instructor at the University of Colombo, followed by a role as a Graduate Teaching Assistant at Middle Tennessee State University. He then served as a Visiting Assistant Professor of Computer Science at Southern Arkansas University and as a Senior Lecturer at the University of Kelaniya before joining Whitman College. He truly enjoys teaching computer science classes to students from diverse backgrounds. Dr. Pitigala holds a PhD in Computational Science and an MSc in Computer Science from Middle Tennessee State University, as well as a BSc in Statistics with Computer Science from the University of Colombo. His primary research domain is Machine Learning, where he focuses on advancing methods and applications in the field.
Ph.D. Computational Science
Middle Tennessee State University
August 2016
M.Sc. Computer Science
Middle Tennessee State University
December 2013
B.Sc. Statistics with Computer Science
University of Colombo
October 2008
My primary research interests revolve around delving deeper into the intricacies of machine learning techniques and their behaviors, establishing connections with diverse domains and applications.
User Perceive Realism of Machine Learning‐Based Drone Dynamic Simulator Damitha Sandaruwan, Sachintha Pitigala, Mangalika Jayasundara, Nihal Kodikara, Piyumi Radeeshani International Journal of Advanced Computer Science and Applications (IJACSA) 14.1 (Feb. 2023) pp. 884–893. 2023
Machine Learning Based Approach to Simulate Drone Dynamics Related to Figure of Eight Maneuvering Pattern Damitha Sandaruwan, Mangalika Jayasundara, Nihal Kodikara, Sachintha Pitigala
European Journal of Computer Science and Information Technology 7.5 (Oct. 2019) pp. 16–25. 2019
Classification Based Filtering for Personalized Information Retrieval Sachintha Pitigala, Cen Li
The International Conference on Information and Knowledge Engineering (IKE’15), 2015, Las Vegas, USA
Extending PubMed Related Article (PMRA) for Multiple Citations Sachintha Pitigala, Cen Li Industrial Conference on Data Mining (ICDM), 2014, St. Petersburg, Russia
Investigating the Reliability of a Batting Ability Measurement System for T20 Cricket: An Application of Random Effects ANOVA through Gen‐ eralizability Theory Dammika Walpitage, Niranji Pathirage, Ruwan Chamara, Sachintha Pitigala, Gayan Silva International Conference of Institute of Applied Statistics), 2014, Colombo, Sri Lanka
Automated Advertisements Classification System using Statistical Methods Sachintha Pitigala, Nimal Wickremasinghe, Ruwan Weerasinghe University of Colombo Journals 2.2 (July 2013) pp. 26–36. 2013
Identifying Training Sets for Personalized Article Retrieval System Cen Li, Sachintha Pitigala, Suk Seo ACM Southeast Regional Conference, 2011, Kennesaw, GA, USA
A comparative study of text classification approaches for personalized retrieval in PubMed Sachintha Pitigala, Cen Li, Suk Seo BIBM Workshops, 2011, Atlanta, GA, USA