ARKA ROY

About

Dr. Arka Roy is working as a Postdoc at the Neurology Department of Beth Israel Deaconess Medical Centre, Harvard Medical School. Prior to this he joined the ECE dept., at Pandit Deendayal Energy University, Gujrat, India as an Assistant Professor. He has received PhD from IIT Patna as a Prime Minister's Research Fellow of India, and B.Tech. in Electrical Engineering from R.K.M Government Engineering College, Purulia, West Bengal. His broad research interests include Biomedical Signal Processing and Deep Learning.

Employment

• Beth Israel Deaconess Medical Center Postdoctoral Research Fellow
  2025 - Present
• Harvard University Postdoctoral Research Fellow
  2025 - Present
• Pandit Deendayal Petroleum University Assistant Professor
  2025 - Present
• Indian Institute of Technology Patna Prime Minister's Research Fellow
  2021 - 2025

Education

• Indian Institute of Technology Patna Ph.D.
  2021 - Present

Projects & Funding

Projects & funding information is unavailable.

Publications (28)

• Leveraging Breathing Phase Aware Acoustic Features From Respiratory Sounds for Hierarchical Categorization of Pulmonary Disease: Beyond Conventional Methods
  IEEE Transactions on Audio, Speech and Language Processing 2026 DOI: 10.1109/TASLPRO.2026.3705692
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• Neurophysiologic Encephalopathy Severity Index (NESI) - Data and Code
  Brain Data Science Platform 2026 DOI: 10.60508/RRBG-BA24
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• QaPRExt: a unified deep learning framework for quality-aware PPG-derived respiration signal extraction for personalized healthcare
  Measurement Science and Technology 2025 DOI: 10.1088/1361-6501/ae0c05
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• Utilizing Breathing Phase Contextualized Features from Respiratory Sounds for Hierarchical Classification of Pulmonary Disease: A Paradigm Change in Conventional Method
  2025 DOI: 10.36227/techrxiv.174844325.59324549/v1
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• A Novel Deep Metric Learning-Based State-Stable and Noise-Aware Biometric Authentication Framework Using Seismocardiogram Signals
  IEEE Transactions on Biometrics, Behavior, and Identity Science 2025 DOI: 10.1109/TBIOM.2024.3478373
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• Exploring Breathing Phase Segregated Information for Hierarchical Categorization of Respiratory Diseases: A Paradigm Shift in Traditional Approach
  2025 DOI: 10.36227/techrxiv.174317800.03983824/v1
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• R2REst: A Unified Deep Learning Framework for Estimating Respiration Rate from Respiratory Sounds
  2025 DOI: 10.36227/techrxiv.174318053.37913618/v1
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• A Unified Joint Contrastive Triplet Loss with Temporal and Frequency Signal Fusion for Diagnosing Heart Murmurs
  ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings 2025 DOI: 10.1109/ICASSP49660.2025.10889389
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• Effect of Auscultation Hindering Noises on Detection of Adventitious Respiratory Sounds Using Pretrained Audio Neural Nets: A Comprehensive Study
  IEEE Transactions on Instrumentation and Measurement 2025 DOI: 10.1109/TIM.2025.3571143
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• Green synthesis of silver-chitosan nanocomposite exhibits promising antibiofilm properties against pathogenic bacteria Escherichia coli and Staphylococcus aureus
  The Microbe 2025 DOI: 10.1016/J.MICROB.2025.100264
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