National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Faculty Profile

ORCID ID
Scopus ID
Researcher ID
Google Scholar ID

EXPERTISE INFORMATION

Research Group
  • Power Systems
Areas of Interest
  • Power system stability studies
  • Synchrophasor Technology

Shekha Rai Assistant Professor Grade-II

Electrical Engineering

rais@nitrkl.ac.in

Biosketch

34

PUBLICATIONS

2

DOCTORAL STUDENTS

1

CONTINUING EDUCATION

PERSONAL INFORMATION

Shekha Rai

Assistant Professor Grade-II

Electrical Engineering

Room Number:

Department of Electrical Engineering, National Institute of Technology Rourkela, Sundargarh, Odisha, India - 769008

2017

Ph.D.
Power system
IIT Guwahati

2009

B.E
Electrical Engineering
Jorhat Engineering College

Teaching Experience
  • Electrical Engineering,  NIT Rourkela,   11 Mar 2020 - Continuing
  • Electrical Engineering,  Jorhat Engineering College,   04 Sep 2018 - 05 Mar 2020
  • Electrical Engineering,  NIT Nagaland,   14 Jul 2017 - 03 Sep 2018

5
GOOGLE SCHOLAR H-INDEX 2
GOOGLE SCHOLAR I10-INDEX 4
SCOPUS H-INDEX
Total Publications: 34
View All Publications

M. Sahoo, S. Rai, and B. K. Dora,"A Solution of Bid-based dynamic economic load dispatch using a hybrid Mutualism based Pathfinder algorithm", in 2022 IEEE 19th India Council International Conference (INDICON), IEEE, November 2022       Inproceedings

M. Sahoo and S. Rai,"A partitioning around medoids (PAM) based sequential clustering approach for model order estimation of low-frequency oscillations in wide area measurement system", Sadhana, Springer 2024       Article

R. R. Kumar, A. Roy, P. Pal, K. Kumar, and S. Rai,"Performance characteristics assessment of dualrotor single stator five-phase surface-inset PMSGfor hydroelectric systems", in 2024 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), pp.1-5, IEEE, December 2024, 10.1109/PEDES61459.2024.10961549       Inproceedings

R. R. Kumar, R. Mondal, A. Ansary, K. Kumar, S. Rai, and R. Shaud,"Characteristics investigation of dual rotor single stator 6-phase single i-shaped magnetic pole PMSM for smart electric vehicle", in 2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST), pp.1-5, IEEE, October 2024, 10.1109/GIEST62955.2024.10960113       Inproceedings

V. Kumar and S. Rai,"Boosting power systems resilience against counterfeiting of GPS attacks using deep learning approach", in 2024 IEEE 1st International Conference on Green Industrial Electronics and Sustainable Technologies (GIEST), pp.1-6, IEEE, October 2024, 10.1109/GIEST62955.2024.10959911       Inproceedings

AI and ML Applications in Power Systems Electrical Engineering (Short-term Course)

  • EE2060 : ELECTRICAL INSTALLATION DESIGN {Theory}
  • EE3110 : Power Systems {Theory}
  • EE3403 : Digital Signal Processing {Theory}
  • EE4101 : Power System Protection {Theory}
  • EE4601 : Introduction to Machine Learning {Theory}
  • EA2260 : Dance and Theatre {Practical}
  • EE4700 : Power Systems Laboratory {Practical}
  • EE4701 : Power Systems Laboratory {Practical}
  • EE4706 : Power System Simulation Laboratory {Practical}

Ph.D. Students [2]
Robust Online Model Order Detection of Low Frequency Oscillatory Modes in Power System for Wide Area Monitoring System
Manoranjan Sahoo
Enrolled: Sep 2020
Graduated :  May 2025
Supervisor
Power system
Subhalaxmi Satapathy
Enrolled: Jan 2023
Continuing
Supervisor

Awards And Honours
  • Best paper"Characteristic investigation of dual rotor single stator 6 phase single 1-shaped manetic pole PSM for smart electric vehicle"Raja Ram Kumar,Rajib Mondal,Aftab ArsaryKundan Kumar,Shekha Rai,Raja Shaud,GIEST-2024,NIT Manipur,   2024
  • Best paper " An Xg-boost based method for identifying electromechanical oscillations from ambient measurements using WAMS" Imtiaz Kumar Pradhan,Sameer Ranjan Sahu and Shekha Rai, ICSTSN 2023,   2023
  • Best paper "An efficient K-SVD based Algorithm for detection of Oscillatory mode from ambient data for synchrophasor application," Manoranjan Sahoo,and Shekha Rai, IEEE INDICON 2021,   2021
  • Completed a sponsored research project on "Design of a robust KNN-based TLS-ESPRIT estimator for identification of low frequency modes in power system" (Role: PI, Status: Completed, Funding: AICTE-NPIU-TEQIP-III),   2020
  • 2nd prize in poster presentation "An efficient wavelet based technique for oscillatory mode identification of ambient data via RD and TLS-ESPRIT" Shekha Rai, Praveen Tripathy and Sisir Kumar Nayak, IEEE NPSC 2016,   2016
Memberships / Fellowships
  • IEEE Member,   2022