Rajesh Kumar Tripathy

Rajesh Kumar Tripathy received the B.Tech degree in Electronics and Telecommunication Engineering from the Biju Patnaik University of Technology (BPUT), Odisha, India, in 2009, and the M.Tech degree in Biomedical Engineering from the National Institute of Technology (NIT) Rourkela, Rourkela, India, in 2013, and the PhD degree in Electronics and Electrical Engineering (EEE) from the Indian Institute of Technology (IIT) Guwahati, Guwahati, India in 2017. Currently, he is working as an Assistant Professor in the department of Electrical and Electronics Engineering (EEE), Birla Institute of Technology and Science (BITS), Pilani, Hyderabad Campus. His research interests are Biomedical Signal Processing, Sensor Data Processing, Machine Learning and Medical Image Processing. He has published research papers in reputed international journals and conferences.

Publications

Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems
Clinical Practice and Unmet Challenges in AI-Enhanced Healthcare Systems
Haipeng Liu, Rajesh Kumar Tripathy, Pronaya Bhattacharya. © 2024. 411 pages.
As the demand for advanced technologies to revolutionize patient care intensifies, the medical industry faces a pressing need to confront challenges hindering the assimilation of...
Two-Dimensional Automatic SSA Domain Multi-Modal Deep Neural Network for Detection of COVID-19 From Lung Ultrasound Images
Two-Dimensional Automatic SSA Domain Multi-Modal Deep Neural Network for Detection of COVID-19 From Lung Ultrasound Images
Neha Muralidharan, Shaurya Gupta, Anurag Gade, Manas Ranjan Prusty, Rajesh Kumar Tripathy, Ram Bilas Pachori. © 2024. 25 pages.
This chapter proposes an image decomposition-based multi-modal deep convolutional neural network (CNN) for the automated detection of COVID-19 using ultrasound images. The...
Heart Sound Data Acquisition and Preprocessing Techniques: A Review
Heart Sound Data Acquisition and Preprocessing Techniques: A Review
Samit Kumar Ghosh, Ponnalagu Ramanathan Nagarajan, Rajesh Kumar Tripathy. © 2020. 21 pages.
Heart sound or phonocardiogram (PCG) signal quantifies the information about the mechanical activity of the heart, and the medical practitioners use the stethoscope to listen to...