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D-Index & Metrics

Electronics and Electrical Engineering

D-Index
43
Citations
5834
World Ranking
3984
National Ranking
40

Overview

Varun Bajaj is affiliated with the Indian Institute of Information Technology in India. Their research spans multiple interdisciplinary fields with a strong focus on medicine, computer science, and neuroscience. Within these fields, Bajaj's work especially emphasizes cognitive neuroscience and several technical subfields including cardiology and cardiovascular medicine, signal processing, artificial intelligence, as well as computer vision and pattern recognition.

The main research topics Bajaj addresses include EEG and brain-computer interfaces, ECG monitoring and analysis, and blind source separation techniques. Additional areas of interest involve AI applications in cancer detection, radiomics and machine learning in medical imaging, sleep and work-related fatigue, and heart rate variability and autonomic control.

Bajaj has published extensively in several scientific journals and conferences. The list of frequent publication venues includes:

  • IEEE Sensors Journal
  • Applied Acoustics
  • IEEE Transactions on Instrumentation and Measurement
  • Computer Methods and Programs in Biomedicine
  • arXiv (Cornell University)

Notable recent papers by Bajaj feature work on neural networks and medical signal analysis. These include:

  • "Time-Frequency Representation and Convolutional Neural Network-Based Emotion Recognition," 2020, IEEE Transactions on Neural Networks and Learning Systems
  • "A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals," 2020, IEEE Transactions on Neural Systems and Rehabilitation Engineering
  • "SPWVD-CNN for Automated Detection of Schizophrenia Patients Using EEG Signals," 2021, IEEE Transactions on Instrumentation and Measurement
  • "PDCNNet: An Automatic Framework for the Detection of Parkinson's Disease Using EEG Signals," 2021, IEEE Sensors Journal
  • "Deep learning models-based CT-scan image classification for automated screening of COVID-19," 2022, Biomedical Signal Processing and Control

Bajaj has collaborated frequently with several co-authors, including:

  • Smith K. Khare
  • Kapil Gupta
  • G. R. Sinha
  • Irshad Ahmad Ansari
  • Anil Kumar

Best Publications

  • Classification of Seizure and Nonseizure EEG Signals Using Empirical Mode Decomposition

    V. Bajaj;R. B. Pachori

  • Analysis of normal and epileptic seizure EEG signals using empirical mode decomposition

    Ram Bilas Pachori;Varun Bajaj

  • Time–Frequency Representation and Convolutional Neural Network-Based Emotion Recognition

    Smith K. Khare;Varun Bajaj

  • Automatic classification of sleep stages based on the time-frequency image of EEG signals

    Varun Bajaj;Ram Bilas Pachori

  • A Computerized Method for Automatic Detection of Schizophrenia Using EEG Signals

    Siuly Siuly;Smith K. Khare;Varun Bajaj;Hua Wang

  • Image Segmentation Using Multilevel Thresholding: A Research Review

    S. Pare;A. Kumar;G. K. Singh;V. Bajaj

  • A multilevel color image segmentation technique based on cuckoo search algorithm and energy curve

    S. Pare;A. Kumar;V. Bajaj;G.K. Singh

  • Emotion recognition from single-channel EEG signals using a two-stage correlation and instantaneous frequency-based filtering method.

    Sachin Taran;Varun Bajaj

  • OSACN-Net: Automated Classification of Sleep Apnea Using Deep Learning Model and Smoothed Gabor Spectrograms of ECG Signal

    Unknown

  • Analysis of ALS and normal EMG signals based on empirical mode decomposition

    Vipin K. Mishra;Varun Bajaj;Anil Kumar;Girish Kumar Singh

  • Detection of Parkinson’s disease using automated tunable Q wavelet transform technique with EEG signals

    Smith K. Khare;Varun Bajaj;U. Rajendra Acharya;U. Rajendra Acharya;U. Rajendra Acharya

  • Multi-category EEG signal classification developing time-frequency texture features based Fisher Vector encoding method

    mer F. Aln;Siuly Siuly;Varun Bajaj;Yanhui Guo

  • Design of digital IIR filter: A research survey

    N. Agrawal;N. Agrawal;A. Kumar;Varun Bajaj;G.K. Singh

  • Riemann Liouvelle Fractional Integral Based Empirical Mode Decomposition for ECG Denoising

    Shweta Jain;Varun Bajaj;Anil Kumar

  • Exploring Hermite transformation in brain signal analysis for the detection of epileptic seizure

    Siuly Siuly;Omer F. Alcin;Varun Bajaj;Abdulkadir Sengur

  • EEG Signal Classification Using Empirical Mode Decomposition and Support Vector Machine

    Varun Bajaj;Ram Bilas Pachori

  • Detection of Human Emotions Using Features Based on the Multiwavelet Transform of EEG Signals

    Varun Bajaj;Varun Bajaj;Ram Bilas Pachori

  • QRS detection using adaptive filters: A comparative study.

    Shweta Jain;M.K. Ahirwal;Anil Kumar;V. Bajaj

  • An Evolutionary Optimized Variational Mode Decomposition for Emotion Recognition

    Smith K. Khare;Varun Bajaj

  • An efficient method for analysis of EMG signals using improved empirical mode decomposition

    Vipin K. Mishra;Varun Bajaj;Anil Kumar;Dheeraj Sharma

  • Impactful study of dual work function, underlap and hetero gate dielectric on TFET with different drain doping profile for high frequency performance estimation and optimization

    Dharmendra Singh Yadav;Dheeraj Sharma;Bhagwan Ram Raad;Varun Bajaj

Frequent Co-Authors

Girish Kumar Singh
Girish Kumar Singh Indian Institute of Technology Roorkee

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