Location

Building 3, Level 3

Education Profile

  • ​B.Tech, in Electrical Engineering, Aligarh Muslim University, India, 2020.

Honors & Awards

  • Got the best paper award in UPCON, an International conference held at Aligarh Muslim University.
  • Got the best paper award in TEMT-19, an International conference held at HMR Institute of Technology and Management, Delhi.

Imran Pervez received his Bachelor’s degree  (Hons.) in Electrical engineering from the Aligarh Muslim University, India. He is currently pursuing an MS degree in Electrical and Computer Engineering from the University of King Abdullah University of Science and Technology, Thuwal, Saudi Arabia, affiliated with ITL Lab. He has published several papers on Solar PV power optimization techniques in conference proceedings and peer-reviewed journals. In two of his proceeding, he has gotten the best paper award. He was also the recipient of the Typhoon HIL Dissertation Award for his exceptional research contributions. His areas of interest include smart grids, solar power optimization, applied machine learning, stochastic search-based optimization algorithms, and programming languages.

Research Interests

Imran Pervez is interested in the development of self-powered devices for powering the wireless sensor nodes (WSN). Apart from that, his interests also include optimizing the phase angle of fractional order elements using stochastic search based optimization algorithms

Selected Publications

A Maximum Power Point Tracking Method for a Partially Shaded Solar PV Cell using PSO with Damped Inertial Weight Algorithm and Time varying Acceleration
I Pervez, A Pervez, M Tariq, A Sarwar, M Zaid, A Riyaz

2019 International Conference on Electrical, Electronics and Computer Engineering (UPCON)

Gravitational Search Algorithm (GSA) based Maximum Power Point Tracking in a Solar PV based Generation System

I Pervez, A Sarwar, M Tayyab, M Sarfraz
2019 Innovations in Power and Advanced Computing Technologies (i-PACT)
Performance of PSO Based Variants in Tracking Optimal Power in a Solar PV based Generation System under Partial Shading Condition
D Iqbal, T Ahmad, I Pervez, IH Malick, A Sarwar, M Tariq

Smart Science
A Maximum Power Point Tracking Method Using a Hybrid PSO and Grey Wolf Optimization Algorithm

I Pervez, IH Malick, M Tariq, A Sarwar, M Zaid
2019 2nd International Conference on Power Energy, Environment and Intelligent Control (PEEIC)

Maximum power point tracking of a partially shaded solar PV generation system using coyote optimization algorithm (COA)
I Pervez, A Sarwar, A Pervez, M Tariq, M Zaid
Proc. Int. Conf. International Conference on Emerging Trends in Electro-Mechanical Technologies and Managment (TEMT-19)

An improved maximum power point tracking (MPPT) of a partially shaded solar PV system using PSO with constriction factor (PSO-CF)

I Pervez, A Sarwar, A Pervez, M Tariq, M Zaid

Proc. Int. Conf. International Conference on Emerging Trends in Electro-Mechanical Technologies and Management (TEMT-19)