Rahul Kumar Chaurasiya

Rahul Kumar Chaurasiya

Rahul Kumar Chaurasiya received the B. Tech. degree from MANIT Bhopal in 2009, and the M.E. degree from the IISc Bangalore in 2011. He received his Ph.D. degree in 2017 NIT Raipur. He was a Senior Software Engineer with Brocade Communications Systems, Bangalore, in 2011-12. During 2013-19, he was Assistant Professor at the NIT, Raipur. He has served as Assistant Professor Grade-1 at MNIT Jaipur during 2019-20. Since 2020, he is with MANIT Bhopal as Assistant Professor Grade-1. His research area includes Machine Learning, Pattern Recognition, Brain-Computer Interfacing, Optimization, Biomedical Signal Processing. He has authored several research articles in aforementioned areas. He is currently supervising 4 PhD scholars and have supervised 08 M Techs and 50+ B Techs in his area of research.

Publications

AI-Enabled Smart Healthcare Using Biomedical Signals
AI-Enabled Smart Healthcare Using Biomedical Signals
Rahul Kumar Chaurasiya, Dheeraj Agrawal, Ram Bilas Pachori. © 2022. 322 pages.
Technological advancements have enhanced all functions of society and revolutionized the healthcare field. Smart healthcare applications and practices have grown within the past...
Single-Channel Region-Based Speller for Controlling Home Appliances
Single-Channel Region-Based Speller for Controlling Home Appliances
Praveen Kumar Shukla, Rahul Kumar Chaurasiya, Shrish Verma. © 2022. 29 pages.
The brain-computer interface (BCI) system uses electroencephalography (EEG) signals for correspondence between the human and the outside world. This BCI communication system does...
Efficient Traffic Sign Recognition Using CLAHE-Based Image Enhancement and ResNet CNN Architectures
Efficient Traffic Sign Recognition Using CLAHE-Based Image Enhancement and ResNet CNN Architectures
Utkarsh Dubey, Rahul Kumar Chaurasiya. © 2021. 19 pages.
Recognition and classification of traffic signs and other numerous displays on the road are very crucial for autonomous driving, navigation, and safety systems on roads. Machine...
Optimizing the Performance of Devanagari Script-Based P300 Speller System Using Binary PSO Algorithm
Optimizing the Performance of Devanagari Script-Based P300 Speller System Using Binary PSO Algorithm
Rahul Kumar Chaurasiya. © 2020. 28 pages.
A P300 speller enables a user to communicate to a computer without any physical movements. In this chapter, a P300 speller system using Devanagari script (DS) is presented. The...
Single-Channel Region-Based Speller for Controlling Home Appliances
Single-Channel Region-Based Speller for Controlling Home Appliances
Praveen Kumar Shukla, Rahul Kumar Chaurasiya, Shrish Verma. © 2020. 25 pages.
The brain-computer interface (BCI) system uses electroencephalography (EEG) signals for correspondence between the human and the outside world. This BCI communication system does...