Rahul Krishna

Registered user since Mon 5 Mar 2018

Name: Rahul Krishna

Bio: I am a PhD Scholar, a data scientist, and a full-stack software developer majoring in Computer Science at North Carolina State University. My research explores ways in which aspects of pattern recognition and artificial intelligence can be used to generate Actionable Analytics.

Specifically, I develop algorithms that go beyond prediction to generate insights that can assist decision making. Our research group achieves this using XTREE. Read more here.

We also develop algorithms that generate insights even when sufficient data is not available. This is achieved with transfer learning using what are known as Bellwethers. Read more here.

Affiliation: NC State University

Personal website: http://rkrsn.us

Research interests: Machine Learning, Software Engineering, Natural Language Processing, Configurable Systems, Search based Software Engineering.

Contributions

ICSE 2020Programme Committee in Program Committees within the Artifact Evaluation-track
ICSE 2019Author of iSENSE: Completion-Aware Crowdtesting Management within the Technical Track-track
ESEC/FSE 2018Author of Applications of Psychological Science for Actionable Analytics within the Research Papers-track
Author of Characterizing the Influence of Continuous Integration: Empirical Results from 250+ Open Source and Proprietary Projects within the SWAN-track
* ICSE 2018 *Author of What is the Connection Between Issues, Bugs, and Enhancements? (Lessons Learned from 800+ Software Projects) within the SEIP - Software Engineering in Practice-track
Author of We Don't Need Another Hero? The Impact of "Heroes" on Software Development within the SEIP - Software Engineering in Practice-track