Welcome to my homepage. I am a Ph.D candidate in the Department of Computer Science at Virginia Tech. My advisor is Dr Naren Ramakrishnan. I am associated with Discovery Analytics Center.
My area of specialization is Data Mining and Applied Machine Learning with special focus on Information Extraction, Natural Language Processing, Social Media Analysis, Intelligence Analysis, Neural Networks and Data Visualization. I am also a Full Stack Developer who likes to build Visual Analytics Frameworks and Intelligent Interactive Systems. Please browse through my Research and Visualizations pages for more information.
I did my undergraduate studies in Computer Science from Indian Institute of Technology (IIT), Kharagpur. Please click here for a short third-person bio.
Update: I am graduating in December 2017. If you are hiring, and like my work, then please email me at firstname.lastname@example.org
Quote: “It can scarcely be denied that the supreme goal of all theory is to make the irreducible basic elements as simple and as few as possible without having to surrender the adequate representation of a single datum of experience.”
— Albert Einstein (ref)
- September 8, 2016: Paper accepted at 2016 IEEE VIS Workshop on Temporal & Sequential Event Analysis.
- August 26, 2016: Recipient of the 2016 W. J. Youden Award in Interlaboratory Testing from the American Statistical Association for my paper on Bayesian Model Fusion for Forecasting Civil Unrest that appeared in Technometrics 2015.
- May 11, 2016: Two papers accepted at KDD’16: EMBERS AutoGSR: Automated Coding of Civil Unrest Events and EMBERS at 4 years: Experiences operating an Open Source Indicators Forecasting System