I R Rao


Assistant Professor

Date of Joining at NITK: 

Tuesday, May 9, 1995

Professional Experience: 

21 Years

Contact Details



Alternate E-mail: 



Academic Background
  • M.Tech (Power and Energy Systems) (KREC, Mangalore University) 1995
  • B.E (E&E) (KREC, Mangalore University) 1991
Areas of Interest
  • Circuit Theory
  • Time-Domain Operational Approach to Dynamic Systems Analysis
  • Network Analysis and Synthesis
  • Power System Analysis and  Dynamics
  • Power System Transients and Protection
Significant Publications
  1.  C. Shah and I. R. Rao, "Wye-Delta and Delta-Wye Transformations of Proximally-Coupled Inductor Triads," 2021 International Conference on Intelligent Technologies (CONIT), 2021, pp. 1-6, doi: 10.1109/CONIT51480.2021.9498558
  2. I. R. Rao, J. M. Gonda and S. T. Surampudi, "A Matrix Inversion-Based Algorithm for Economic Scheduling of Power Outputs of Thermal Units in an Electric Power System Without Losses," 2021 Ural-Siberian Smart Energy Conference (USSEC), 2021, pp. 1-6, doi: 10.1109/USSEC53120.2021.9655717.

  3. I.R.RAO and K.N.SHUBHANGA, Circuit Analysis in the Time-Domain: Operational Approach to form the System-Matrix Exponential and to obtain the Circuit Natural Response therefrom, IEEE ICAEE 2014 (IEEE Conference #32147): International Conference on Advances in Electrical Engineering (ICAEE) , January 9-11, 2014, VIT University , Vellore , India.

  4. I.R.RAO and K.N.SHUBHANGA, Obtaining the Natural Frequencies of Linear Time-Invariant Dynamic Systems from Driving-Point SYSTEM-Function Measurements Employing Conceptual Source-Measure Units, IEEE I2CT 2014 (IEEE Conference 33458) International Conference for Convergence of Technology, April 06-08, 2014, Pune, India.

  • Development of a complete repertoire of analytical methods to analyse linear systems with lumped-parameter description employing the time-domain operational approach
  • Sustained efforts towards freeing the Department Computer Systems from the stranglehold of proprietary Operating Systems (OS) and application software, leading to a robust Linux (Fedora) based working environment in about 250+ Systems owned by the Department and its Faculty/Students.