I am a PhD student at the Department of Computer Science and Automation, Indian Institute of Science Bangalore. I am currently working with Dr. Partha Pratim Talukdar in the area of Machine Learning and Natural Language Processing at Machine and Language Learning Lab. Previously, I have been masters student in the same department and worked with Dr. Shivani Agarwal in the area of Machine Learning at Machine Learning and Learning Theory Lab.
Analysis of data and development of techniques for learning from data.
Exploiting the huge amount of information available over the web in natural language for intelligent decision making.
A powerful approach to learning from interaction to achieve goals in stochastic and incompletely-known environments.
This project aims to develop a technique for estimating the probability of patients' mortality in the Indian intensive care units. We apply different machine learning techniques (specifically, linear and non-linear logistic regression) to this problem. We also propose a boosting-style approach for predicting patient mortality rates, which automatically builds a score-based system for Indian patient data.
Null derefence is a common bug in programs. This project applies the abstract interpretation framework for the analysis of null dereferences in Java programs using Soot framework.
This project automates the question paper generation process for examinations. It covers the process of creation of questions database, selection of questions for exams meeting certain criteria and generation of encrypted paper and its decryption.
The aim of the project was to implement a basic viewer which can render tetrahedral meshes read from a file. It also supports rendering of individual meshes and group of meshes at different scaling levels.
Chandrahas Dewangan — email@example.com