Mr. Vishal Singh Roha

Mr. Vishal Singh Roha

Postgraduate Student
Department of Electrical and Computer Systems Engineering
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I am a PhD researcher in Electrical and Computer Systems Engineering at Monash University. My research sits at the intersection of biomedical signal processing, machine learning, and camera-based physiological sensing, with a focus on remote photoplethysmography for non-contact cardiovascular monitoring. I develop data-driven methods for smartphone camera-based blood pressure and vital-sign estimation, including signal reconstruction, feature representation, and robust physiological inference under real-world motion and illumination variability.

Qualifications

  • Master of Technology, Indian Institute of Technology (IIT) Patna, 2022
  • Bachelor of Technology, Guru Gobind Singh Indraprastha University, 2020

Research Interests

Remote PPG, Biomedical Signal Processing, Health Informatics, Digital Health, Artificial Intelligence

Journal Articles

  • Roha VS, Ranjan R, Yuce MR. Evolving Blood Pressure Estimation: From Feature Analysis to Image-Based Deep Learning Models. Journal of Medical Systems. Published.
  • Roha VS, Yuce MR. Unravelling Blood Pressure Estimation with a Deep Learning Approach Using Multiple Embeddings. Computers in Biology and Medicine. Published.

Conference Proceedings

  • Roha VS, Gendy MEG, Pavan K, Deserno TM, Ganapathy N, Yuce MR. Enhanced Driver Stress Prediction for Multiple Biosignals via CNN Encoder–Decoder Model. In: 46th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2024. Published.
  • Roha VS, Yuce MR. Direct Estimation vs. Indirect Metrics: Machine Learning Techniques for Cardiac Output Prediction. In: IEEE SENSORS; 2024. Published.
  • Roha VS, Gendy MEG, Yuce MR. Smartphone Video-Based Blood Pressure Estimation via Pulse Transit Time and Machine Learning. In: IEEE SENSORS; 2024. Published.
  • Gendy MEG, Roha VS, Yuce MR. Enhanced SpO2 and Heart Rate Estimation from Smartphone Facial Videos with Dynamic Selection of Optimal Region of Interest. In: 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2025. Published.
  • Gendy MEG, Roha VS, Yuce MR. Facial Multi-Region rPPG Extraction from Smartphone Videos with Comparative Analysis of Finger Videos for SpO2 Measurement. In: 47th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2025. Published.
  • Ranjan R, Roha VS, Yuce MR. VITAL Net: A Hybrid Framework for SpO2 and Heart Rate Estimation Using Smartphone rPPG Video. In: 4th Annual Conference of IEEE Applied Sensing (APSCON); 2026. Accepted.
  • Alim ME, Roha VS, Yuce MR. Deep Models for Blood Pressure Estimation: A Trade-Off Between Accuracy and Efficiency. In: HEALTHINF; 2026.
  • Kierce JB, Kumar AA, Roha VS, Yuce MR. Real-Time AI-Driven iOS Framework for Contactless Atrial Fibrillation, Heart Rate, and HRV Monitoring Using Smartphone Facial Video. In: 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2026. Accepted.
  • Bennett A, Gupta S, Roha VS, Gorman M, Yuce MR. Multimodal Non-EEG Seizure Detection Using Encoder–Decoder Learning on Large-Scale Physiological Data. In: 48th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC); 2026. Accepted.

Teaching Commitments

  • ECE4179/ECE5179/ECE6179 - Neural Networks and Deep Learning
  • FIT2004 - Algorithms and Data Structures
  • FIT1008/FIT1054/FIT2085 - Fundamentals of Algorithms

Professional Services

Peer Reviewer

  • IEEE Transactions on Affective Computing
  • Information Fusion
  • Scientific Reports
  • Cluster Computing
Last modified: 21/05/2026