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Dr.Rahul Sharma

Assistant Professor, ECE Dept.

B.Tech: – Electronics and Communication, Chhattisgarh Swami Vivekanand Technical University, Bhilai.
M.Tech: – Electronics and Communication, Chhattisgarh Swami Vivekanand Technical University, Bhilai in Communication and Signal Processing.
Ph.D: – National Institute of Technology Silchar in Electronics and Communication Engineering with a broad area of research as Neuroimaging, Deep learning.

Teaching Experience – 2 Years

JNTU Registration No – 
Ratification Status – 

  1. Deep learning
  1. Machine learning & Deep learning.
  2. Image processing
  1. T. Goel, R. Sharma, M. Tanveer, P. Suganthan, K. Maji, and R. Pilli, “Multimodal neuroimaging based Alzheimer’s disease diagnosis using evolutionary RVFL classifier,” IEEE Journal of Biomedical and Health Informatics, 2023.
  2.  R. Sharma, T. Goel, M. Tanveer, C. T. Lin, and R. Murugan, “Deep learning based diagnosis and prognosis of Alzheimer’s disease:  A comprehensive review,” IEEE Transactions on Cognitive and Developmental Systems, pp. 1–1, 2023. doi: 10.1109/TCDS.2023.3254209.
  3.  S. Verma, T. Goel, M. Tanveer, W. Ding, R. Sharma, and R. Murugan, “Machine learning techniques for the schizophrenia diagnosis: A comprehensive review and future research directions,” Journal of
    Ambient Intelligence and Humanized Computing, vol. 14, no. 5, pp. 4795–4807, 2023.
  4.  S. Dwivedi, T. Goel, M. Tanveer, R. Murugan, and R. Sharma, “Multi-modal fusion based deep learning network for effective diagnosis of Alzheimers disease,” IEEE MultiMedia, 2022.
  5.  R. Sharma, T. Goel, M. Tanveer, P. Suganthan, I. Razzak, and R. Murugan, “Conv-ERVFL:  Convolutional neural network based ensemble RVFL classifier for Alzheimer’s disease diagnosis,” IEEE Journal of Biomedical and Health Informatics, 2022.
  6.  R. Sharma, T. Goel, M. Tanveer, and R. Murugan, “FDN-ADNet: Fuzzy LS-TWSVM based deep learning network for prognosis of the Alzheimer’s disease using the sagittal plane of MRI scans,” Applied Soft Computing, vol. 115, p. 108 099, 2022.
  7.  R. Sharma, T. Goel, M. Tanveer, S. Dwivedi, and R. Murugan, “FAF-DRVFL: Fuzzy activation function based deep random vector functional links network for early diagnosis of Alzheimer disease,” Applied Soft Computing, vol. 106, p. 107 371, 2021.
  1. K. Maji, R. Sharma, S. Verma, and T. Goel, “Rvfl classifier based ensemble deep learning for early diagnosis of alzheimer’s disease,” in Neural Information Processing: 29th International Conference, ICONIP 2022, Virtual Event, November 22–26, 2022, Proceedings, Part III, Springer, 2023, pp. 616–626.
  2.  M. Tanveer, S. Verma, R. Sharma, T. Goel, and P. Suganthan, “Weighted kernel ridge regression based randomized network for alzheimer’s disease diagnosis using susceptibility weighted images,” in 2023 International Joint Conference on Neural Networks (IJCNN), IEEE, 2023, pp. 1–8.
  3.  R. Sharma, T. Goel, and R. Murugan, “An optimized deep learning network for prognosis of Alzheimer’s disease using structural magnetic resonance imaging,” in 2022 IEEE 10th Region 10 Humanitarian Technology Conference (R10-HTC), 2022, pp. 203–207. doi: 10.1109/R10-HTC54060.2022.9929626.
  4.  R. Sharma, T. Goel, and R. Murugan, “Prediction of Alzheimer’s disease using machine learning algorithm,” in Proceedings of the International Conference on Computational Intelligence and Sustainable Technologies, Springer, 2022, pp. 11–17.
  5.  S. Dwivedi, T. Goel, R. Sharma, and R. Murugan, “Structural MRI based Alzheimer’s disease prognosis using 3D convolutional neural network and support vector machine,” in 2021 Advanced Communication Technologies and Signal Processing (ACTS), 2021, pp. 1–4. doi: 10.1109/ACTS53447.2021.9708107.
  1. Active organizer of the several High-End Workshop and events.
  2. Delivered Expert Talk along with Hands-on session in MATLAB in several High-End
  3.  Delivered Expert Talk in SERB sponsored KAYASHALA High-End Workshop at IIT Indore.
  1. R. Sharma, T. Goel, R. Khosla, and R. Murugan, “System for the early detection of Alzheimer’s disease,”
    German Patent, App. No. 202023100083.5, IPC: G16H 50/20, 2023.

2023 : 

1. Data Science Masters from PWskills.


Participated in 2022 IEEE CIS Summer School on Deep Learning and Computational
Intelligence: Theory and Applications during December 12-16, 2022 at IIT Indore, India.


 Participated in 2021 IEEE International Workshop on Optimization and Intelligence in
Electronics Engineering Applications during July 26-30, 2022 .