Dr. Aamir Ali Bhatti
Associate Professor
Electrical Engineering
Biography
Dr. Aamir Ali received the B.E., M.E., and Ph.D. degrees in Electrical Engineering from the Quaid-e-Awam University of Engineering, Science and Technology (QUEST), Nawabshah, Pakistan. He is currently an Associate Professor in the Department of Electrical Engineering at QUEST. He has authored more than 50 research papers published in reputed international peer-reviewed journals. His research interests include power system optimization, smart grids, renewable energy integration, multi-objective evolutionary algorithms, deep learning, and large language model (LLM)-based artificial intelligence for electrical power systems, with a focus on integrating AI and evolutionary optimization techniques for intelligent power system planning, operation, and control.
Research Interests
Memberships
- PEC - Pakistan Engineering Council
Courses Teaching
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429 - Numerical Analysis and Computer Applications Odd
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322 - Power System Control Even
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323 - Power System Protection Even
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315 - Power Electronics Even
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148 - Statistics & Probability Even
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187 - Numerical Analysis & Computer Applications Even
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348 - Circuit Analysis Even
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313 - Electrical Power Transmission Even
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318 - Power Distribution and Utilization Even
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318 - Power Distribution and Utilization Even
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468 - Optimization Techniques Even
Contact Info
City: NawabShah
Phone: 03003225011
Email: aamirali.bhatti@quest.edu.pk
CV: View CV
Publication Stats (1996 – 2026)
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)
- Associate Professor (BPS-20) at QUEST Nawabshah (2025 - 2026)
Publications
Probabilistic multi objective planning of battery storage and mixed distributed generation for reliable and efficient grid connected distribution systems
(2026)
Multi-horizon power forecasting using transformer-based temporal encoding and long short-term memory decoding networks
(2026)
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)
Projects
Role: