Dr. Aamir Ali Bhatti
Assistant Professor
Electrical Engineering
Biography
Aamir Ali is an Assistant Professor at Quaid-E-Awam University of Engineering Science and Technology (QUEST), Nawabshah, Pakistan. He completed his bachelor's degree in electrical engineering in 2011 from QUEST and joined as a Lecturer in 2013. He earned his master's degree in electrical engineering from QUEST in 2015 and completed his PhD in 2021. His research interests focus on power system optimization, distributed generation, smart grids, grid-connected and islanded microgrids, and multi-objective evolutionary algorithms. Dr. Ali's work aims to advance the efficiency and sustainability of electrical systems, with a particular emphasis on renewable energy integration and intelligent power system management.
Research Interests
Memberships
- PEC - Pakistan Engineering Council
Courses Teaching
-
429 - Numerical Analysis and Computer Applications Odd
Contact Info
City: NawabShah
Phone: 03003225011
Email: aamirali.bhatti@quest.edu.pk
CV: View CV
Publication Stats (1996 – 2025)
Qualifications
- PhD (QUEST Nawabshah, )
- M.E (QUEST Nawabshah, )
- B.E (QUEST Nawabshah, )
Experiences
- Lab Engineer (BPS-17) at QUEST Nawabshah (2013 - 2020)
- Lecturer (BPS-18) at QUEST Nawabshah (2020 - 2021)
- Assistant Professor (BPS-19) at QUEST Nawabshah (2021 - 2025)
Publications
Constrained Composite Differential Evolution Search for Optimal Site and Size of Distributed Generation Along with Reconfiguration in Radial Distribution Network
(2020)
Dynamic Performance Analysis and Fault Ride-Through Enhancement by a Modified Fault Current Protection Scheme of a Grid-Connected Doubly Fed Induction Generator
(2025)
Fault analysis and performance improvement of grid-connected doubly fed induction generator through an enhanced crowbar protection scheme
(2025)
Optimal solution of multiobjective stable environmental economic power dispatch problem considering probabilistic wind and solar PV generation
(2024)
Optimal Site and Size of Distributed Generation Allocation in Radial Distribution Network Using Multi-objective Optimization
(2020)
Solution of constrained mixed-integer multi-objective optimal power flow problem considering the hybrid multi-objective evolutionary algorithm
(2023)
Multi-Objective Optimal Siting and Sizing of Distributed Generators and Shunt Capacitors Considering the Effect of Voltage-Dependent Nonlinear Load Models
(2023)
Pareto Front-Based Multiobjective Optimization of Distributed Generation Considering the Effect of Voltage-Dependent Nonlinear Load Models
(2023)
Multi-Objective Security Constrained Unit Commitment via Hybrid Evolutionary Algorithms
(2024)
A novel solution to optimal power flow problems using composite differential evolution integrating effective constrained handling techniques
(2024)
Dynamic Multi-Objective Optimization of Grid-Connected Distributed Resources Along With Battery Energy Storage Management via Improved Bidirectional Coevolutionary Algorithm
(2024)
Optimal site and size of FACTS devices with the integration of uncertain wind generation on a solution of stochastic multi-objective optimal power flow problem
(2023)
A two-stage reactive power optimization method for distribution networks based on a hybrid model and data-driven approach
(2024)
Optimal scheduling and management of grid-connected distributed resources using improved decomposition-based many-objective evolutionary algorithm
(2024)
A Novel Energy Proficient Computing Framework for Green Computing Using Sustainable Energy Sources
(2023)
Dynamic Stability Enhancement of Wind Power Generation with Static VAR Compensator using Multiobjective Optimization Algorithms
(2024)
Stochastic Multi-Objective Optimal Reactive Power Dispatch with the Integration of Wind and Solar Generation
(2023)
Distributed Generation and Shunt Connected Capacitor Allocation in Distribution Network via Improved Decomposition-Based Evolutionary Algorithm
(2020)
Multi-objective multi-period optimal site and size of distributed generation along with network reconfiguration
(2024)
A deep learning technique Alexnet to detect electricity theft in smart grids
(2023)
Modeling of intelligent controllers for solar photovoltaic system under varying irradiation conditions
(2023)
An optimal dispatch schedule of EVs considering demand response using improved MACD algorithm
(2023)
Optimization of distributed energy resources planning and battery energy storage management via large-scale multi-objective evolutionary algorithm
(2024)
A Bi-Level Techno-Economic Optimal Reactive Power Dispatch Considering Wind and Solar Power Integration
(2023)
Multi-objective multiperiod stable environmental economic power dispatch considering probabilistic wind and solar PV generation
(2024)
A novel hybrid multi operator evolutionary algorithm for dynamic distributed generation optimization and optimal feeder reconfiguration
(2025)