VIKASH SHAW
RMIT University, Devi Ahilya Vishwavidyalaya, Asansol Engineering College
About
I am a biomedical engineer specializing in physiological signal processing, machine learning, and wearable health technologies. I recently submitted my PhD thesis as part of a joint doctoral program between AcSIR (India) and RMIT University (Australia), focusing on AI-based screening systems using ECG and PPG signals. My research experience includes real-time embedded systems, robotic control for surgical applications, contactless biosensing, and screening tool development. I've independently led an ICMR-funded biomedical research project and mentored multiple undergraduate and postgraduate students. My current research interests broadly encompass wearable biosensors, intelligent diagnostic systems, digital health innovations, and AI-driven personalized healthcare.
Employment
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RMIT University
Education
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Devi Ahilya Vishwavidyalaya M.Tech2014 - 2016
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Asansol Engineering College B.Tech2010 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (13)
- How photoplethysmography can be used to detect major depressive disorder among patients with obstructive sleep apnea during sleep Save
- Explainable AI-Guided Optimization of EMG Channels and Features for Precise Hand Gesture Classification: A SHAP-Based Study Save
- Enhanced EMG-Based Hand Gesture Classification in Real-World Scenarios: Mitigating Dynamic Factors with Tempo-Spatial Wavelet Transform and Deep Learning Save
- Enhancing Gesture Classification Using Active EMG Band and Advanced Feature Extraction Technique Save
- Screening major depressive disorder in patients with obstructive sleep apnea using single-lead ECG recording during sleep Save
- Impact of Biological Sex on Radar-Measured Heart Sound Quality. Save
- Active Surface Electromyogram (sEMG) Electrodes band with Enhanced Features based technique for Hand Gesture Classification Save
- NIR-based Sensing System for Non-invasive Detection of Hemoglobin for Point-of-care Applications Save
- A KNN-Based Approach for Myoelectric Arm Save
- A Non-contact Approach for Detection of Sleep Apnea Using Doppler Phenomena Save