Nanda is a third year undergraduate student of Computer Science and Engineering at SSN College of Engineering (affiliated to Anna University). His areas of interest are Machine Learning, Computer Vision and Applied Computer Science. He has previously worked on Species Prediction from Environmental Rasters, and has authored a paper titled Scalable Deep Learning for Stress and Affect Detection on Resource-Constrained Devices, which he will present at the 18th International Conference on Machine Learning Applications (IEEE ICMLA 2019) at Boca Raton, USA. He enjoys teaching and aims to be a Professor someday. He intends to pursue his Masters in the Fall of 2021.
PublicationsScalable 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