Harish Haresamudram
PhD student in the Computational Behavior Analysis Lab, at Georgia Institute of Technology
I am a final year PhD student with the School of Electrical and Computer Engineering (ECE) at Georgia Institute of Techology, Atlanta. I am advised by Prof. Thomas Ploetz and Prof. Irfan Essa. I received my Master’s degree in May 2019 from Georgia Tech, where my thesis studied the role of representations in human activity recognition using wearables. I was advised by Prof. Thomas Ploetz and Prof. David Anderson. I have been supported by funding from the National Science Foundation (through the AI-CARING Institute), Optum AI, and Google.
Research
My research broadly involves learning representations for time-series data, with a special focus on developing techniques that require minimal supervision. I develop unsupervised and self-supervised learning algorithms for data from wearable sensors, including accelerometers, gyroscopes and intertial measurement units (IMUs). Subsequently, I use such representations to analyse human behavior, through movements and activities..
News
Selected publications
- Limitations in Employing Natural Language Supervision for Sensor-Based Human Activity Recognition–And Ways to Overcome ThemarXiv preprint arXiv:2408.12023, 2024
- Towards Learning Discrete Representations via Self-Supervision for Wearables-Based Human Activity RecognitionSensors, 2024
- Investigating enhancements to contrastive predictive coding for human activity recognitionIn 2023 IEEE International Conference on Pervasive Computing and Communications (PerCom), 2023
- How Much Unlabeled Data is Really Needed for Effective Self-Supervised Human Activity Recognition?In Proceedings of the 2023 ACM International Symposium on Wearable Computers, 2023