Dr Varun Bajaj (Jain)
Maulana Azad National Institute of Technology, PDPM IIITDM Jabalpur, IIT Indore, PDPM IIITDM Jabalpur: Jabalpur,
About
Varun Bajaj (PhD, SMIEEE20) is working as a Associate Professor in the Department of Electronics and Communication Engineering, at Maulana Azad National Institute of Technology (MANIT) Bhopal, India from Jan 2024. He served as Associate Professor in the discipline of Electronics and Communication Engineering, Indian Institute of Information Technology, Design and Manufacturing (IIITDM) Jabalpur, India since July 2021 to Jan 2024. He worked as Assistant Professor in IIITDM Jabalpur from March 2014 to July 2021. He also worked as a visiting faculty in IIITDM Jabalpur from September 2013 to March 2014. He worked as Assistant Professor at Department of Electronics and Instrumentation, Shri Vaishnav Institute of Technology and Science, Indore, India during 2009-2010. He received his Ph.D. degree in the Discipline of Electrical Engineering, at Indian Institute of Technology Indore, India in 2014. He received M.Tech. Degree with Honors in Microelectronics and VLSI design from Shri Govindram Seksaria Institute of Technology & Science, Indore, India in 2009, B.E. degree in Electronics and Communication Engineering from Rajiv Gandhi Technological University, Bhopal, India in 2006.
He is an Associate Editor of IEEE Sensor Journal, Biomedical Signal Processing for Frontiers in Signal Processing, Subject Editor-in-Chief of IET Electronics Letters. He served as a Subject Editor of IET Electronics Letters from Nov-2018 to June 2020 and Guest Editor in Elsevier and IET Journals. He is Senior Member IEEE June 2020, MIEEE 16-20, and also contributing as active technical reviewer of leading International journals of IEEE, IET, and Elsevier, etc. He has served as member of review boards for around 80 scientific journals. He has also served in the scientific committees of various international conferences. He has delivered more than 50 expert talks and lectures in conferences, workshops, and short term courses organized by various institutes. He has received several awards including Achievement Award Best Paper Award (ICHIT conference 2012 and 2nd International Conference on Computational Electronics for Wireless Communication (Springer) 2022), "Award for Excellence in Research" by 7th South Asian Education Awards-Summit 22. He has been listed as the world's top 2 % researchers/scientists by Stanford University, USA (2020 to 2023).
He has 174 publications which include journal papers (105), conference papers (37), books (14), and book chapters (18). He has also Granted 2 international patents and published 3 indian patents. The citation impact of his publications is around 6531 citations, h-index of 45, and i10 index of 114 (Google Scholar Jan 2024). He has guided nine (06 completed, and 3 In process) PhD Scholars, Nine M. Tech. Scholars. He has worked on 5 research projects funded by DST & CSIR and 3 Consultancy projects. His research interests include Biomedical Signal Processing, AI in Healthcare, Brain Computer Interface, Pattern Recognition, ECG signal processing.
Employment
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Maulana Azad National Institute of Technology Associate Professor2024 - Present
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PDPM IIITDM Jabalpur Associate Professor2021 - 2024
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PDPM IIITDM Jabalpur: Jabalpur, Assistant Professor2013 - 2021
Education
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IIT Indore PhD2010 - 2014
Projects & Funding
Projects & funding information is unavailable.
Publications (149)
- ALSNet: A Lightweight Deep Learning Framework for ALS Detection Using Enhanced TF Images From EMG Sensor Data Save
- Classification of hand gesture based on optimal deep feature selection using sEMG signal Save
- Adaptive Lévy Flight-Based Optimization for Fetal ECG Recovery and Arrhythmia Detection Save
- NHMT: A NeuroHierarchical Mamba-GCN-Transformer Model for Multilevel EEG Stress and Workload Analysis Save
- Adaptive Window-Based SPWVD for Detection of Schizophrenia Using EEG Save
- Three-Dimensional Attractor Reconstruction for Enhanced ECG Classification of Arrhythmia and Congestive Heart Failure Save
- Optimal variational mode decomposition based automatic stress classification system using EEG signals Save
- CardioNet: A Lightweight Deep Learning Framework for Screening of Myocardial Infarction Using ECG Sensor Data Save
- Sequential Feature Selection Integrated with ANN for Efficient Detection of ALS Using sEMG Signal Save
- ML3CNet: Non-local means-assisted automatic framework for lung cancer subtypes classification using histopathological images Save