About Abhijith

Abhijith is a final year Undergraduate student, pursuing Information Technology at SRM Institute of Science and Technology, Chennai. His team, led by him, collaborated with one of the top multiplexes in India and subsequently worked on a paper titled A Two-Stage Machine Learning Approach to Forecast the Lifetime of Movies in a Multiplex. This will be presented at the Future of Information and Communication Conference (FICC) 2020, San Francisco and will be published in Springer’s Advances in Intelligent Systems and Computing series. Following this, he led a team of 4 in a publication titled Scalable Deep Learning for Stress and Affect Detection on Resource-Constrained Devices. The work has been accepted to be published at the 18th IEEE International Conference on Machine Learning and Applications (ICMLA) 2019, Florida. His areas of interest include but are not limited to Data Science, Machine Learning, Deep Learning, Affective Computing, Edge Computing, and Societal Computing. He will be joining the Synergy Lab, Carnegie Mellon University (CMU) as a research intern during Spring 2020 and intends to pursue his Masters in the fall of 2021.

Publications

A Two-Stage Machine Learning Approach to Forecast the Lifetime of Movies in a Multiplex
Abhijith Ragav, Sai Vishwanath Venkatesh, Ramanathan Murugappan, Vineeth Vijayaraghavan
Future of Information and Communication Conference 2020 (FICC) (Accepted)
View code on GitHub  

Scalable Deep Learning for Stress and Affect Detection on Resource-Constrained Devices
Abhijith Ragav, Nanda H Krishna, Naveen Narayanan, Kevin Thelly, Vineeth Vijayaraghavan
18th IEEE International Conference on Machine Learning and Applications (ICMLA) (Accepted)
View code on GitHub   Slides