Ramesh Kumar Sah, PhD, Computer Science, Washington State University (2018-2024).
Ramesh joined a startup company as Algorithm Engineer in 2024.
PhD Dissertation: Wearable Systems and Machine Learning for Affect Recognition and Intervention.
Latest
- Adversarial Transferability in Embedded Sensor Systems: An Activity Recognition Perspective
- Efficient Sensing and Classification for Extended Battery Life
- Stress Monitoring in Free-Living Environments
- Wearable Systems and Machine Learning for Affect Recognition and Interventions
- Adversarial Examples in Embedded Systems
- Methods to Deal with Imbalanced Dataset
- ADARP: A Multi Modal Dataset for Stress and Alcohol Relapse Quantification in Real Life Setting
- Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification
- Continous Monitoring of Stress on Smartphone using Heart Rate Variability
- Continual Learning for Activity Recognition
- Stressalyzer: Convolutional Neural Network Framework for Personalized Stress Classification
- 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)
- Associations between Physiological Signals Captured using Wearable Sensors and Self-Reported Outcomes among Patients in AUD Recovery: Development and Usability Study
- 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