2023 -
2025 Postdoctoral Research Fellow in Data Science and ML @
2022 -
2023 Assistant Professor of Electrical and Computer Engineering @
2020 -
2022 Assistant Professor of Electrical and Computer Engineering @
2016 -
2020 Instructor @
2013 -
2013 Graduate Teaching Assistant @
2009 -
2012 Graduate Research Assistant @
Rajnish Kumar Education
Texas Tech University
Doctor of Philosophy (Ph.D.) (Electrical Engineering)
2009
-
2016
Rajnish Kumar Skills
Matpower
Extended Kalman Filters
Power System State Estimations
PSS/E
Computer Simulation
Algorithms
C
Binary Integer Programming
Matlab
Unscented Kalman Filters
Real Time Digital Simulation
Phasor Data Concentrator Sel 3378
Verilog
Microcontrollers
Power System Parameter Estimations
Power Systems Protection Schemes
Circuit Design
Rtds
Power System Stabilizers
Synchrowave
Microsoft Office
Synchrophasors
Programming
Psat
Testing
Labview
Power System Relays
FPGA
Electrical Engineering
H Infinity Filters
VHDL
C++
Relays
Phasor Measurement Units Sel 421
Combinatorial Optimization
Optimal Controls
Python
Simulations
Fpgas
Optimization
Hardware in Loop Simulation
Pspice
Machine Learning
Simulink
PowerWorld
Wide Area Monitoring Systems
Rscad
Deep Learning
Rajnish Kumar Summary
Rajnish Kumar, based in Hanover, NH, US, is currently a Research Associate B at Department of Computer Science, Dartmouth College. Rajnish Kumar brings experience from previous roles at University of Michigan, Utah Tech University, Dixie State University and Texas Tech University. Rajnish Kumar holds a 2009 - 2016 Doctor of Philosophy (Ph.D.) in Electrical Engineering @ Texas Tech University. With a robust skill set that includes Matpower, Extended Kalman Filters, Power System State Estimations, PSS/E, Computer Simulation and more. Rajnish Kumar has 2 emails and 1 mobile phone numbers on RocketReach.
Get contact details of over 700M profiles across 60M companies - all with industry-leading accuracy. Sales and Recruiter users, try out our Email Finder Extension.
Use our AI-Powered Email Finder
Find business and personal emails and mobile phone numbers with exclusive coverage across niche job titles, industries, and more for unparalleled targeting. Also available via our Contact Data API.