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Dr. Sunil Kumar
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Dr. Sunil Kumar

Assistant Professor

  • School/College

    Faculty of Engineering and Technology

  • Department

    Department of Computer Science and Engineering

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.

Qualifications

  • Ph.D ( Birla Institute of Technology(BIT) Mesra )
  • M.Tech (Electronics Engineering )

    YMCA University Science and Technology Faridabad, 2012

  • B.E (ECE)

    Anna University Chennai, 2009

Academic Experience:

  • Dronacharya Group of Institution NCR(2012-207) -5 years 
  • CFA Academy Noida(2017-2019) - 2 years 
  • MITS Deemed to be University(2022-2023)-1 year

Industry Experience:  

  • R K construction Pvt.Ltd- 1 year    

  • Optical fiber sensor and Machine Learning

International Conference Papers
  • Kumar, S. and Sengupta, S., 2022, October. FBG Peak Wavelength Detection Using Transfer Learning-Based Machine Learning Method. In 2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT) (pp. 1-4). IEEE.
  • Kumar, S. and Sengupta, S., 2022, July. Multi peak detection algorithm of fiber bragg grating using mexican hat wavelets and hilbert transform. In 2022 IEEE India Council International Subsections Conference (INDISCON) (pp. 1-5). IEEE.
International Journal Papers (SCI)
  • Kumar, Sunil, and Yogesh KM. "Developed machine learning algorithm for fiber Bragg grating sensor using Gaussian mixing method." Discover Sensors 1.1 (2025): 14.
  • Kumar, S., Ghorai, S.K. and Sengupta, S., 2023. Fiber Bragg grating sensor interrogation using edge-filtering with long period grating modulated light source. Optical and Quantum Electronics, 55(10), p.847.(SCI)
  • Kumar, S. and Sengupta, S., 2023. Detection of peak wavelength of multi-FBG using higher-order derivative of wavelets multiresolution analysis and maximum likelihood estimation. Optics Communications, p.129621.(SCI)
  • KUMAR, S. and SENGUPTA, S., 2023. Machine learning based algorithm for multi-FBG peak detection using generative adversarial network. Journal of Optoelectronics and Advanced Materials, 25(May-June 2023), pp.273-281.(SCI)
  • Kumar, S. and Sengupta, S., 2022. Adaptive and precise peak detection algorithm for fibre Bragg grating using generative adversarial network. Opto-Electronics Review, 30.(SCI)
  • Kumar, S. and Sengupta, S., 2022. Efficient detection of multiple FBG wavelength peaks using matched filtering technique. Optical and Quantum Electronics, 54, pp.1-14.(SCI)
International Journal Papers (Scopus and UGC)
  • Ravi Shankar, Sunil Kumar, “Efficient Machine Learning Approach for Subaquatic Surveillance”International Journal of Science and Research (IJSR) ISSN: 2319-7064 SJIF (2024): 7.942.
  • Siddhant, Boriya, and Sunil Kumar. "Device for Spoken Word and Captioning of Illustrations." IJCSMC, Vol. 13,Issue. 9, September 2024, pg.9 – 18 (2024).
  • Kumar, S. and Sharma, K.D., 2015. Application of Neurofuzzy in Power System for Short Term Load Forecasting. International Electrical Engineering Journal (lEEJ), 5(11), pp.1605-1612.
  • Parul Yadav, Kumar, S, 2023. “ANN Controlled of Flow Rate of Nonintracting Tanks Using Network Control System” International Journal of Emerging Technology and Advanced Engineering (IJETAE) .
  • Lathwal, Deepika, Priyanka Malik, and Kumar S. 2013, "Analysis of automatic generation control two area network using ANN and genetic algorithm." Int. J. Sci. Res.(IJSR)274-278.
  • Kumar, Naresh, Minakshi Hooda, and Kumar S. 2013, "Analysis of Voltage Stability Margin and Prediction of Asynchronous Machine using ANN." ." Int. J. Sci. Res.(IJSR).
  • Narayan, Y. and Kumar, S., 2013. Analysis of Networked Control of Speed of DC Motor using Neural Network. International Journal of Science and Research, 2(1), pp.329-332.
  • Ahuja, Dhiraj, and Kumar S. "Adaptive fuzzy wavelet network control design for nonlinear systems." International Journal of Advanced Technology& Engineering Research (IJATER) 3 (2013): 1046-1054.
  • Ahuja, D. and Kumar, S., 2012. Wavelets in Control Engineering. International Journal of Automation and Power Engineering, 1(6), pp.134-140.

  • ISTE (INDIAN SOCIETY FOR TECHNICAL EDUCATION
  • UACEE (Universal Association of Computer and Electronics Engineers)
  • IAENG (International Association of Engineers)
  • SDIWC (Society of digital information &wireless communication)
  • IACSIT (International Association of Computer Science and Information Technology)
  • SCIence and Engineering Institute (SCIEI)

Admission 2025

ADDRESS

Vidya Soudha (Heritage Block)

M. S. Ramaiah University of Applied Sciences,

Gnanagangothri Campus

New BEL Road

MSR Nagar, Bangalore - 560054