Research Interests
My research interests include but are not limited to:
Machine Learning, Natural Language Processing: Theory & Applications, {Deep, Transfer} Learning, Feature Representation Methods, Adversarial Machine Learning, Automated Fact Checking, Deceptive News Categorization, Opinion Mining
Data Science: Data {Analytics, Visualization, Engineering}, Algorithms for Big Data, Social Network Analytics
Research Works
Customer Segmentation: Applying Centroid Based (k-means) and Density Based (DBSCAN) Clustering Algorithms for customer segmentation in wholesale market. (Paper Accepted at 3rd International Conference on Electrical Information and Communication Technology 2017)
[Paper at IEEE Xplore] [View Paper pdf]
Fake News Detection using Supervised Machine Learning Algorithms: Applying supervised machine learning algorithms for fake news detection within static dataset. Deep learning approach for fake news detection will also be considered.
[Technical Report pdf] [Slide pdf]
Comparative Study of Clustering Algorithms on multiple datasets: Providing insights about which type of clustering algorithm will perform better in what type of data distribution based on experimental results for multiple datasets.