Ramesh Sah

Research Assistant

Washington State University

About Me

I am PhD student and graduate research assistant in the Embedded and Pervasive System Laboratory (EPSL) at Washington State University, Pullman. I work with Dr. Hassan Ghasemzadeh in areas of embedded systems and machine learning for healthcare applications.

Latest

Comparing the Predictability of Sensor Modalities to Detect Stress from Wearable Sensor Data
Bidirectional Relationship of Stress and Affect with Physical Activity and Healthy Eating
A review of Binary Neural Networks (BNNs)
Self-Supervised Learning for ECG-Based Emotion Recognition
μEMA: Microinteraction-based Ecological Momentary Assessment (EMA) Using a Smartwatch
Earthquake transformer—an attentive deeplearning model for simultaneous earthquake detection and phase picking
Wearable sensor-based detection of stress and craving in patients.
Machine learning techniques to predict the effectiveness of music therapy: A randomized controlled trial
Introduction to Gaussian Processes
Paper Review: Multi-modal Self-Supervised Learning for Human Activity Recognition
Adversarial Reprogramming of Neural Networks
Adversarial Transferability in Wearable Sensor Systems
Human Activity Recognition using Wearable Sensors by Deep Convolutional Neural Networks
Distillation in Machine Learning
Introduction to Adversarial Machine Learning
Associations between Physiological Signals Captured using Wearable Sensors and Self-Reported Outcomes among Patients in AUD Recovery: Development and Usability Study