Jagdeep Rahul
Rajiv Gandhi University, Lovely Professional University, Atal Bihari Vajpayee Indian Institute of Information Technology and Management, Bundelkhand University
0000-0003-4890-1898
About
Jagdeep Rahul (Member, ACM) received the PhD degree from Rajiv Gandhi University (A Central University) Arunachal Pradesh, India, in 2021 and M.Tech. degree from Atal Bihari Vajpayee-Indian Institute of Information Technology and Management, Gwalior, India, in 2012. He has been serving as Associate Professor with Department of Electronics and Communication Engineering, Rajiv Gandhi University, Arunachal Pradesh, India since 2015. He has teaching experience at various technical institutes and university levels. His research interests include biomedical signal and image processing, machine learning, and deep learning. He is a reviewer of many SCI/SCIE journals at IEEE, Elsevier, and Springer.
Employment
-
Rajiv Gandhi University Associate Professor2023 - Present
-
Rajiv Gandhi University Assistant Professor2015 - 2023
-
Lovely Professional University Assistant Professor2012 - 2014
Education
-
Atal Bihari Vajpayee Indian Institute of Information Technology and Management M.Tech2010 - 2012
-
Bundelkhand University B. Tech2005 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (28)
- Automated Classification of Cardiac Arrhythmia using Short-Duration ECG Signals and Machine Learning Save
- Automated classification of cardiac arrhythmia using short-duration ECG signals and machine learning Save
- Bi-LSTM predictive control-based efficient energy management system for a fuel cell hybrid electric vehicle Save
- A systematic review of EEG based automated schizophrenia classification through machine learning and deep learning Save
- Baseline Wander Elimination from Electrocardiogram Signals Using Dyadic Boundary Points-Based Empirical Wavelet Transform Save
- An improved cardiac arrhythmia classification using stationary wavelet transform decomposed short duration QRS segment and Bi-LSTM network Save
- Artificial intelligence based approach for categorization of COVID-19 ECG images in presence of other cardiovascular disorders Save
- Artificial intelligence-based approach for atrial fibrillation detection using normalised and short-duration time-frequency ECG Save
- Automatic cardiac arrhythmia classification based on hybrid 1-D CNN and Bi-LSTM model Save
- A Review on Artificial Intelligence for Electrocardiogram Signal Analysis Save