SHUBHAM YADAV (Ph.D)
C.V. Raman Global University, Kalinga University, Dr. C. V. Raman University, Christian College of Engineering and Technology, Chhattisgarh Swami Vivekanand Technical University
0000-0001-8759-7214
About
Shubham Yadav (Graduate Member, IEEE) received the bachelor’s degree in 2010 from the M. P. Christian College of Engineering and Technology, Bhilai, India; the M. Tech. degree from Dr. C. V. Raman University, Bilaspur, in 2015; and the doctoral degree in Soft Computing and Signal Processing from the National Institute of Technology, Raipur. He has teaching experience spanning six years. Currently, he is attached as an assistant professor in computer science and engineering at C. V. Raman Global University, Bhubaneshwar, Odisha, India. He has published many research papers in reputed journals and international conferences and worked as a reviewer for many SCI journals. Currently he is an editorial board member of Scientific Reports, Springer Nature. His research interests include adaptive filter design, biomedical signal processing, and soft computing.
Employment
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C.V. Raman Global University ASSISTANT PROFESSOR2024 - Present
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Kalinga University Assistant Professor2016 - 2019
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Chhattisgarh Swami Vivekanand Technical University Lecturer2010 - 2013
Education
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Dr. C. V. Raman University Master of Technology2013 - 2015
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Christian College of Engineering and Technology Bachelor of Engineering2006 - 2010
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Robust Design of Nonlinear Adaptive Hammerstein Filter Structure Using Evolutionary Algorithm: Real-Time Application to ECG Signals Save
- Efficiently Designed Hammerstein Spline Adaptive Filter for Ocular Noise Extraction from EEG Signals Save
- Evolutionary optimization-based descendent adaptive filter for noise confiscation in electrocardiogram signals Save
- Design of efficient Wiener spline adaptive filter for electrocardiogram signal enrichment Save
- A Metaheuristic Approach Based Adaptive Filter Design for EEG Noise Mitigation Application Save
- ECG Signal Denoising Using Sparrow Search Algorithm Save
- IIR Filter Design Using Sparrow Search Algorithm Save
- A Metaheuristic Approach for the Design of Linear Phase FIR Differentiator Save
- Optimal FIR Filter Design using Honey Badger Optimization Algorithm Save
- Evolutionary Algorithm-Based Optimal Wiener-Adaptive Filter Design: An Application on EEG Noise Mitigation Save