About Prithvi

Prithvi is a final year undergraduate student, pursuing Electronics and Communication Engineering at SRM Institute of Science and Technology, Kancheepuram. His areas of interest are Machine Learning and Deep Learning at the crossroads of Embedded Systems. After working on a Gait Recovery System for Parkinson’s Disease and a Wearable Gesture Recognition System for the audio-vocally impaired, he is looking to avidly pursue his new found interest in healthcare technology by applying signal processing and deep learning techniques to physiological signals. When he isn’t at the lab, he enjoys playing the guitar and listening to metal music. He is looking to pursue his Masters in the Fall of 2020.

Publications

Gait Recovery System for Parkinson's Disease using Machine Learning on Embedded Platforms
Gokul Hari, Prithvi Suresh, Hari Vignesh Baskar, Pravin Kumaar R, Vineeth Vijayaraghavan
2020 IEEE International Systems Conference (SysCon) (Accepted)
View code on GitHub  

Low-Cost Wearable Gesture Recognition System with Minimal User Calibration for ASL
Syed Shahbaaz Ahmed, Gokul Hari, Prithvi Suresh, Vineeth Vijayaraghavan
2019 International Conference on Internet of Things (iThings)
View code on GitHub   Slides