NIST UNIVERSITY
Institute Park, Berhampur, Odisha-761008, India

Kunjabihari Swain

Dr. Kunjabihari Swain

Associate Professor

Electrical Engineering (SCHOOL OF ENGINEERING)

kunja.swain@nist.edu
7008138820
ATR - 417

Education

Master in Engineering in Instrumentation and Control
Birla Institute of Technology,Mesra
2014
B.Tech in Electronics and Instrumentation Engineering
National Institute of Science and Technology
2008
Ph.D in Electronics and Communication Engineering
Centurion University of Technology and Management
2020

Work Experience

Program Engineer
Atma Auto Tech Pvt.LTD

Research Interests

  • No research interests available.

Publications

  1. Swain, K., Cherukuri, M., Samanta, I.S., Pati, A., Giri, J., Panigrahi, A., Qin, H. and Mallik, S., 2024. Fuzzy Markov model for the reliability analysis of hybrid microgrids. Frontiers in Computer Science, 6, p.1406086.
  2. Swain, K.B., Mahato, S.S. and Cherukuri, M., 2019. Expeditious situational awareness-based transmission line fault classification and prediction using synchronized phasor measurements. IEEE Access, 7, pp.168187-168200.
  3. Samanta, I.S., Rout, P.K., Swain, K., Cherukuri, M. and Mishra, S., 2022. Power quality events recognition using enhanced empirical mode decomposition and optimized extreme learning machine. Computers and Electrical Engineering, 100, p.107926.
  4. Samanta, I.S., Rout, P.K., Swain, K., Cherukuri, M., Panda, S., Bajaj, M., Blazek, V., Prokop, L. and Misak, S., 2024. A hybrid approach for power quality event identification in power systems: Elasticnet Regression decomposition and optimized probabilistic neural networks. Heliyon, 10(18).
  5. Swain, K.B., Mahato, S., Patro, M. and Pattnayak, S.K., 2017, May. Cattle health monitoring system using Arduino and LabVIEW for early detection of diseases. In 2017 Third International Conference on Sensing, Signal Processing and Security (ICSSS) (pp. 79-82). IEEE.
  6. Swain, K. and Cherukuri, M., 2021. Intelligent fault analysis of transmission line using phasor measurement unit incorporating auto-reclosure protection scheme. SN Applied Sciences, 3(5), p.531.
  7. Swain, K., Mahato, S.S., Krishna, M.V. and Cherukuri, M., 2020. Situational awareness index assessment of transmission line using fault tree approach. Electric Power Components and Systems, 48(18), pp.1888-1897.
  8. Swain, K.B., Santamanyu, G. and Senapati, A.R., 2017, May. Smart industry pollution monitoring and controlling using LabVIEW based IoT. In 2017 third international conference on sensing, signal processing and security (ICSSS) (pp. 74-78). IEEE.
  9. Swain, K. and Cherukuri, M., 2022. Situational Awareness of Micro‐Grid Using Micro‐PMU and Learning Vector Quantization Algorithm. Intelligent Renewable Energy Systems, pp.267-285.
  10. Swain, K.B., Patnaik, R.K., Pal, S., Rajeswari, R., Mishra, A. and Dash, C., 2017, August. Arduino based automated STICK GUIDE for a visually impaired person. In 2017 IEEE International Conference on Smart Technologies and Management for Computing, Communication, Controls, Energy and Materials (ICSTM) (pp. 407-410). IEEE.
  11. A hybrid approach for power quality event identification in power systems: Elasticnet Regression decomposition and optimized probabilistic neural networks