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Ramaiah University of Applied Sciences

Dr Sunil Kumar

Dr. Sunil Kumar

Assistant Professor

Mr. Sunil Kumar received a B. E degree in Electronics and Communication

Engineering from Anna University Chennai in 2009,M. Tech in Electronics Engineering from YMCA University Science and Technology Faridabad, India in 2012. From 2012 – 2017, he joined as an Assistant Professor in The 

Department of Electronics and Communication Engineering at Dronacharya

Group of Institution, Greater Noida, and 2017 – 2019 worked as the same position at CFA Academy, Noida. In 2019 he joined as Ph.D Research Scholar at the Birla Institute of Technology Mesra, Ranchi, India. His research area is optical fiber sensor and signal processing with machine learning.

Qualifications

  • B.E (ECE)

    Anna University Chennai

  • M.Tech (Electronics Engineering )

    YMCA University Science and Technology Faridabad

  • PHD (FBG Sensor with Signal Processing and Machine Learning)

    Birla Institute of Technology(BIT), Mesra , Ranchi

Experience

Total Years of Experience: 8 years 

Academic Experience: Dronacharya Group of Institution NCR‑5 year , CFA Academy Noida- 2 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, 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)

  • 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

    Member

  • UACEE (Universal Association of Computer and Electronics Engineers)

    Member

  • IAENG (International Association of Engineers

    Member

  • SDIWC (Society of digital information &wireless communication)

    Member

  • IACSIT (International Association of Computer Science and Information Technology)

    Member

  • ScIence and Engineering Institute (SCIEI)

    Member