Research Experience
Identification of Knowledge Gaps in Text
Bachelor Thesis, supervised by Dr. Sudarshan Iyengar Associate Prof., Department of Computer Science and Engineering, Institute of Technology, IIT Ropar on prediction of a knowledge gap in the text is a long-standing challenge, defined as the identification of regions in the text where the information presented lacks clarity or coherence. An automated pipeline to predict such gaps would be high applicability in generating feedback and refining the text for school books, education, learning, and other areas of documentation and research.
Developed novel approach for decomposing the problem of knowledge gap into two separate tasks, first segmenting a given text document and then predicting the external and internal gap.
- For segmenting a given text such that a given segment consists of all consecutive sentences of similar context is based on semantic similarity of sentences.
- The next task of predicting the internal gap for a given segment is modelled from the perspective of ease of readability, and various metrics are contrasted for same. Predicting an external gap between the two pieces of segmented text works on evaluating the generated probability distribution of topics.
Worked on Distributed Computing at Cryptography and Information Security (CrIS) Lab under Dr. Arpita Patra, Assistant Prof., Department of Computer Science and Automation, Indian Institute of Science.
Task was to analyze existing protocols in Broadcast and Byzantine Agreement starting with Exponential Information Gathering given by Pease, Shostak, and Lamport. We then move on to Polynomial time algorithms and then optimizations in communication and rounds. We then obtain protocol based on analysis of information which combines techniques like early stopping, fault masking and the coordinated traversal presented by Yoram Moses and Orli Waarts. The effect is a greatly distributed and asynchronous protocol which greatly restrict the effect of faulty processors in a distributed setting. It combines early stopping with fault masking and the new coordinated traversal technique, which together greatly restrict the amount and type of damage a faulty processor can cause.
Undergraduate Summer School, Department of Computer Science and Automation, IISc
Areas: Artificial Intelligence, Game Theory, Cryptography
The main aim of the summer school was to introduce undergraduate students to cutting-edge research in computer science. The summer school had talks, demos, and hands-on sessions by the department faculty, research scholars and industry experts, covering theoretical and applied aspects of computer science.
NNMCB Second Instructional School, Department of Mathematics, IISc
Areas: Computational Neuroscience, Modeling Bio-molecular Interactions, Population Dynamics
The Science and Engineering Research Board, Government of India has funded a National Network for Mathematical and Computational Biology (NNMCB). The primary goal of this network is to promote research activities and provide training in mathematical and computational biology throughout India. It was preceded by a course on Computational Biology to give an overview of some basic algorithms used in computational biology, such as sequence alignment and graph algorithms.
"Innovation in Science Pursuit for Inspired Research (INSPIRE)" is an innovative programme sponsored and managed by the Department of Science and Technology for attraction of talent to Science. The basic objective of INSPIRE is to communicate to the youth of the country the excitements of creative pursuit of science, attract talent to the study of science at an early age and thus build the required critical human resource pool for strengthening and expanding the Science and Technology system and R and D base.
"Motivating talented youth to take-up research as a personal undertaking" by rubbing shoulders with global icons of science including Nobel Prize Winners, is the objective of INSPIRE Internship.