Neurophysiologic Encephalopathy Severity Index (NESI) - Data and Code: Published at Brain Data Science Platform (Affiliated to Stanford, Harvard University; NIH Approved data repository) bdsp.io [Link]
A. Roy, U. Satija, "Leveraging Breathing Phase Aware Acoustic Features from Respiratory Sounds for Hierarchical Categorization of Pulmonary Disease: Beyond Conventional Methods" in IEEE Transactions on Audio Speech and Language Processing (Accepted)
Recognized as an Outstanding Reviewer in IEEE Transactions on Instrumentation and Measurement [Link]
Appointed as an Associate Editor in IEEE Transactions on Instrumentation and Measurement [Link]
U. Satija, A. Roy, "Method And System For Diagnosing Interstitial Lung Disease Using Respiratory Acoustic Signal Analysis" in Indian Patent, Patent Number: 57428
R. Bhadra, S. Chowdhury, A. Roy, J. K. Chandra, R. Gupta, "QaPRExt: A Unified Deep Learning Framework for Quality-aware PPG-derived Respiration Signal Extraction for Personalized Healthcare" Accepted in Measurement Science and Technology [Link]
Joined as a Postdoctoral Research Fellow at Beth Israel Deaconess Medical Center, Harvard Medical School [Link]
S. Hota*, A. Roy*, U. Satija, "R2REst: A Unified Deep Learning Framework for Estimating Respiration Rate from Respiratory Sounds", Accepted in IEEE Signal Processing Letters [Link]
Received the International Travel Grant from the IEEE Instrumentation and Measurement Society
A. Roy*, U. Satija, "Effect of Auscultation Hindering Noises on Detection of Adventitious Respiratory Sounds Using Pretrained Audio Neural Nets: A Comprehensive Study" Accepted in IEEE Transactions on Instrumentation and Measurement [Link]