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Academic Experts
Rahul Sharma

Biography

Dr. Rahul Sharma is an accomplished academician and researcher in the field of Electronics and Communication Engineering, specializing in biomedical signal processing, image analysis, data science, and machine learning. Currently serving as an Assistant Professor (Senior grade) at Jaypee University, Noida, UP. He brings over 7 years of experience in teaching, research, and innovation. Dr. Sharma earned his Ph.D. in Electrical Engineering from the prestigious Indian Institute of Technology Kanpur (2014–2020), following M.Tech from IIITDM Jabalpur with distinction (CGPA 8.9) and a B.Tech. from Uttar Pradesh Technical University. His accolades include being part of the Indo-Japan JENESYS Program (2012), participation in the INUP Nanofabrication Workshop at IIT Bombay, and qualifying the GATE examination thrice. He has also been the recipient of MHRD fellowships during both his M.Tech. and Ph.D. studies

He has published extensively in reputed international journals with a citation count exceeding 455 and an h-index and i10-index of 8. His work focuses on automated learning algorithms for solving biomedical challenges, such as brain disease identification, human emotion recognition, and brain–computer interface (BCI) applications for paralyzed patients. He is also an active reviewer for leading international journals published by IEEE, Elsevier, Springer, and other platforms.

Research Highlights

I have knee interest to solve various biomedical issues by applying automated learning algorithms. I have a background in Signal and Image Processing, Data Science, Machine Learning, and Transfer Learning algorithms with MATLAB and PYTHON programming languages. I am working to develop Brain Disease identification, Human Emotion recognition, and fast BCI experience in Paralyzed patients. I have published 7-journals, 3-book chapter, and 1-conference.

Areas of Interest
  • Signal and Image processing
  • Healthcare predication and innovation
  • Data Science
  • Machine Learning
  • and Transfer Learning algorithms
Publications
  1. R Sharma, “Localization of epileptic surgical area using automated hybrid approach based on higher-order statistics with sensitivity analysis and residual wavelet transform,” Biomedical Signal Processing and Control, Elsevier, vol. 86 (B), pp. 10519, 2023.
  2. R. Sharma, “Automated human emotion recognition using hybrid approach based on sensitivity analysis on residual time-frequency plane with online learning algorithm,” Biomedical Signal Processing and Control, Elsevier, vol. 84, pp. 104913, 2023.
  3. R. Sharma, P. Sircar, and R.B. Pachori, “Automated focal EEG signal detection based on third-order cumulant function,” Biomedical Signal Processing and Control, Elsevier, vol. 58, pp. 101856, 2020.
  4. R. Sharma, R.B Pachori, and P. Sircar, “Automated Emotion Recognition based on Higher-Order Statistics and Deep Learning Algorithm,” Biomedical Signal Processing and Control, Elsevier, vol. 58, pp. 101867, 2020.
  5. R. Sharma, P. Sircar, and R.B. Pachori, “Seizures classification based on higher-order statistics and deep neural network,” Biomedical Signal Processing and Control, Elsevier, vol. 59, pp. 101921, 2020.