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

Rajesh Kumar Patjoshi

Dr. Rajesh Kumar Patjoshi

Associate Professor

Electronics and Comm. Engineering (SCHOOL OF ENGINEERING)

rajeshpatjoshi1@nist.edu
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Education

Ph.D. in Electronics and Communication Engg.
NIT,Rourkela
2015
M. Tech in VLSI & Embedded System Design
NIT,Rourkela
MBA in HR and Marketing
Sambalpur University
2011
B.E. in Electronics and TeleCommunication
Amravati University

Work Experience

Lecturer
Utkalmani Gopabandhu Institute of Engineering, Rourkela
Associate Professor
Purushottam Institute of Engineering & Technology Rourkela
Associate Prof.
K L University, Green Fields, Vaddeswaram, Guntur, Andhra Pradesh
Customer support Engineer
Hugcort Communication Pvt. Ltd. New Delhi

Research Interests

  • Power Quality
  • VLSI Interconnection and Digital VLSI
  • Renewable Energy
  • Power Quality enhancement for grid integrated Renewable energy source
  • Analog and Mixed signal VLSI Design
  • VLSI Design for Artificial Intelligence
  • Renewable energy
  • Network Control system (Wireless and IOT based Network control System)

Publications

  1. Ardeti, V.A., Kolluru, V.R., Varghese, G.T. and Patjoshi, R.K., 2023. An overview on state-of-the-art electrocardiogram signal processing methods: Traditional to AI-based approaches. Expert Systems with Applications, 217, p.119561.
  2. Patjoshi, R.K. and Mahapatra, K., 2017. High‐performance unified power quality conditioner using non-linear sliding mode and new switching dynamics control strategy. IET Power Electronics, 10(8), pp.863-874.
  3. Patjoshi, R.K., Kolluru, V.R. and Mahapatra, K., 2017. Power quality enhancement using fuzzy sliding mode based pulse width modulation control strategy for unified power quality conditioner. International Journal of Electrical Power & Energy Systems, 84, pp.153-167.
  4. Patjoshi, R.K. and Mahapatra, K., 2016. Resistive optimization with enhanced PLL based nonlinear variable gain fuzzy hysteresis control strategy for unified power quality conditioner. International Journal of Electrical Power & Energy Systems, 83, pp.352-363.
  5. Patjoshi, R.K. and Mahapatra, K., 2016. High‐performance unified power quality conditioner using command generator tracker‐based direct adaptive control strategy. IET Power Electronics, 9(6), pp.1267-1278.
  6. Patjoshi, R.K., Panigrahi, R. and Kolluru, V.R., 2021. Variable nonlinear gain fuzzy with improved synchronous reference frame control strategy for performance enhancement of unified power quality conditioner. Ain Shams Engineering Journal, 12(1), pp.739-753.
  7. Patjoshi, R.K., Panigrahi, R. and Rout, S.S., 2021. A hybrid fuzzy with feedback integral phase locked loop-based control strategy for unified power quality conditioner. Transactions of the Institute of Measurement and Control, 43(1), pp.122-136.
  8. Patjoshi, R.K., 2015. Design and development of advanced control strategies for power quality enhancement at distribution level (Doctoral dissertation).
  9. Kolluru, V.R., Patjoshi, R.K. and Panigrahi, R., 2019. A comprehensive review on maximum power tracking of a photovoltaic system under partial shading conditions. International Journal of Renewable Energy Research (IJRER), 9(1), pp.175-185.
  10. Ardeti, V.A., Kolluru, V.R., Varghese, G.T. and Patjoshi, R.K., 2022. An outlier detection and feature ranking based ensemble learning for ECG analysis. International Journal of Advanced Computer Science and Applications, 13(6).