National Institute of Technology Rourkela

राष्ट्रीय प्रौद्योगिकी संस्थान राउरकेला

ଜାତୀୟ ପ୍ରଯୁକ୍ତି ପ୍ରତିଷ୍ଠାନ ରାଉରକେଲା

An Institute of National Importance

Faculty Profile

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

20

PUBLICATIONS

2

DOCTORAL STUDENTS

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

Total Publications: 20

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

  • EE3110 : Power Systems {Theory}
  • EE3403 : Digital Signal Processing {Theory}
  • EE4101 : Power System Protection {Theory}
  • EE4601 : Introduction to Machine Learning {Theory}
  • EE4700 : Power Systems Laboratory {Practical}
  • EE4701 : Power Systems Laboratory {Practical}
  • EE4706 : Power System Simulation Laboratory {Practical}

Ph.D. Students [2]
Power & Energy
Manoranjan Sahoo
Enrolled: Sep 2020
Continuing
Supervisor
Power system
Subhalaxmi Satapathy
Enrolled: Jan 2023
Continuing
Supervisor

Awards And Honours
  • 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