Harish
Haresamudram

Harish is a fifth year PhD student at Georgia Tech, and is advised by Prof. Thomas Ploetz and Prof. Irfan Essa. His research focuses on developing methods that can utilize large-scale wearable sensor data for learning representations that can minimize the human supervision needed for recognizing activities. He is studying self-supervised methods that can learn high-quality, universal representations for activity recognition, while tackling real-world variations – such as variety in target activities and differing sensor positions. His research is currently being funded by the National Science Foundation.

research areas: Machine Learning, Ubiquitous Computing, Self-supervised learning

email: hharesamudram3@gatech.edu

website: https://harkash.github.io/