Dr. SUNIL KUMAR
Jain University, M S Ramaiah University of Applied Sciences, Birla Institute of Technology, J.C. Bose University of Science & Technology, YMCA, Madanapalle Institute of Technology & Science
0000-0003-1344-4375
About
Dr. Sunil Kumar has been working as an assistant professor in the department of CSE at M. S. Ramaiah University of Applied Sciences since Aug-2023. My research area is the application of signal processing and quantum machine learning for FBG sensors. The academic background is a B.E. from Anna University Chennai in 2009 and an M.Tech. from YMCA University of Science and Technology (Gov.), Faridabad, in 2012. Ph.D. (Full Time), 2019-2023, from Birla Institute of Technology (BIT), Mesra, Ranchi, Before doctorate work, I worked as an assistant professor at Dronacharya Group of Institutions, Greater Noida, from 2012 to 2017; CFA Academy, Noida from 2017 to 2019; MITS. Deemed to be a university from 2022-2023.
Employment
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Jain University Associate Professor2026 - Present
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M S Ramaiah University of Applied Sciences Assistant Professor2023 - Present
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Madanapalle Institute of Technology & Science Assistant Professor2022 - 2023
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CFA ACADEMY ASSISTANT PROFESSOR2017 - 2019
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Dronacharya College of Engineering - Greater Noida Campus ASSISTANT PROFESSOR2012 - 2017
Education
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Birla Institute of Technology PHD2019 - 2023
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J.C. Bose University of Science & Technology, YMCA M.TECH2010 - 2012
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Anna University Chennai B.E2005 - 2009
Projects & Funding
Projects & funding information is unavailable.
Publications (18)
- Developed a new activation function for machine learning using wavelet function for Fiber Bragg Grating sensor Save
- Developed machine learning algorithm for fiber Bragg grating sensor using Gaussian mixing method Save
- Device for Spoken Word and Captioning of Illustrations Save
- Efficient Machine Learning Approach for Subaquatic Surveillance Save
- Fiber Bragg grating sensor interrogation using edge-filtering with long period grating modulated light source Save
- Machine learning based algorithm for multi-FBG peak detection using generative adversarial network Save
- Adaptive and precise peak detection algorithm for fibre Bragg grating using generative adversarial network Save
- Efficient detection of multiple FBG wavelength peaks using matched filtering technique Save
- Multi Peak Detection Algorithm of Fiber Bragg Grating using Mexican Hat Wavelets and Hilbert Transform Save
- FBG Peak Wavelength Detection Using Transfer Learning-Based Machine Learning Method Save