Aimon Mirza Baig | Power Grid Stability | Best Researcher Award

Aimon Mirza Baig | Power Grid Stability | Best Researcher Award

Mrs. Aimon Mirza Baig, Imperial College London, United Kingdom.

Aimon Mirza Baig is a PhD candidate at Imperial College London, specializing in Electrical and Electronics Engineering. His research focuses on real-time modeling of flexible assets for power grid stability in renewable energy-dominated systems. Aimon has contributed to innovative solutions for enhancing power grid security, co-optimizing ancillary services, and integrating zero-carbon sources like flexible nuclear power plants. He has presented his work at multiple international conferences and published in top journals. Aimon is passionate about teaching and mentoring future engineers, having held teaching roles at Imperial College London and in Saudi Arabia. 🌍⚡🔬

Publication Profile 

Scopus
Orcid

Education And Experiance

  • PhD in Electrical and Electronics Engineering, Imperial College London (2019-present)
    • Research: Real-time modeling for power grid stability with renewable energy sources ⚡
  • MSc in Advanced Electrical Engineering, Queen Mary University (2018-2019)
    • Dissertation: Optimizing lithium-ion battery state of charge 📊🔋
  • BEng in Electrical Engineering, University of Greenwich (2015-2018)
    • First-class honors 🎓
  • Graduate Teaching Assistant at Imperial College London (2020-present)
    • Taught optimization models and supervised PhD students 🧑‍🏫
  • Teaching Experience at Universal Enrichment Program, Riyadh, Saudi Arabia (2024)
    • Delivered STEM lectures and workshops for high school students 🌍🎓

Suitability For the Award

Mrs. Aimon Mirza Baig is an exceptional researcher specializing in power grid stability and renewable energy integration. His groundbreaking work, including the development of stochastic unit commitment models and co-optimization of ancillary services from zero-carbon sources, has significantly advanced the field. With a PhD from Imperial College London and multiple high-impact publications, Baig’s innovative contributions to energy systems, particularly in the context of flexible nuclear power and renewable integration, make him a highly deserving candidate for the Best Researcher Award. His expertise and research have the potential to shape the future of sustainable energy systems.

Professional Development

Aimon has continuously developed his skills in both research and teaching. At Imperial College London, he developed expertise in computational optimization models, using Python and C++ for real-time data simulations and system modeling. He also gained valuable teaching experience by assisting students in courses like “Control Systems Lab” and “Mathematics.” His ability to convey complex concepts to undergraduate students has honed his communication and mentoring skills. Aimon’s experience with international conferences and research publications further enriched his professional growth, allowing him to stay at the forefront of advancements in electrical engineering and renewable energy integration. 📚🌐💡

Research Focus

Aimon’s research is focused on power grid stability and renewable energy integration. He specializes in stochastic unit commitment models, optimizing ancillary services like inertia and frequency response from zero-carbon sources, including flexible nuclear power plants. His work aims to enhance system stability in grids with high penetration of renewable energy sources (RES). Aimon’s contributions to bi-level optimization and market design for virtual power plants help address the challenges of balancing energy production with grid security. His innovative models support the decarbonization goals of the UK and other nations. 🌱⚡🔧

Awards And Honors

  • PhD Scholarship at Imperial College London, funded by the IDLES Project (EDF Energy) 🎓💰
  • Awarded Distinction for MSc in Advanced Electrical Engineering, Queen Mary University 🏅
  • First-Class Honors for BEng in Electrical Engineering, University of Greenwich 🎖️
  • Conference Presentations at 6 international conferences in the UK and Europe 🎤🌍
  • Publications in High-Impact Journals: IEEE, Applied Energy, and International Journal of Electrical Power and Energy Systems 📑

Publication Top Notes 

  • Importance of Linking Inertia and Frequency Response Procurement: The Great Britain Case (2021) – Cited by 3 📚🔋
  • Market Design for Ancillary Service Provisions of Inertia and Frequency Response via Virtual Power Plants: A Non-Convex Bi-Level Optimisation Approach (2024) – Cited by 4 ⚡🔌
  • Co-optimising Frequency-Containment Services from Zero-Carbon Sources in Electricity Grids Dominated by Renewable Energy Sources (2025)  🌱🔋

Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

Dr. Elnaz Yaghoubi | Power System | Best Researcher Award

Dr. Elnaz Yaghoubi, Karabuk University, Turkey

Dr. Elnaz Yaghoubi is an expert in energy management and smart microgrids, currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey. With a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, she focuses on optimizing power consumption and improving energy efficiency in large-scale networks. Her research interests include power system analysis, renewable energy, AI-driven control systems, and smart grid technology. As a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR), Dr. Yaghoubi brings expertise in distributed generation, AI-based energy solutions, and telecommunications.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

Dr. Yaghoubi’s work on the energy management of smart microgrids, along with her interdisciplinary expertise in AI, power systems, and renewable energy, aligns well with the criteria for the Best Researcher Award. Her research not only advances theoretical knowledge but also has practical implications for the future of energy sustainability and grid reliability. Her innovative approach to combining AI techniques with traditional power management solutions positions her as a leader in the energy systems field.

Education & Expertise:

Dr. Elnaz Yaghoubi is currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, specializing in energy management of smart microgrids. She also holds a Master’s degree in Electrical Engineering from the Islamic Azad University, Iran, where she focused on optimizing power consumption in large-scale networks.

Research Interests:

Her research is centered around power system analysis, microgrids, renewable energy, and AI-based control systems like machine learning and predictive control. She is passionate about improving energy efficiency and power stability in smart grids.

Work Experience:

Dr. Yaghoubi serves as a Principal Researcher at Power Electrical Developing Advanced Research (PEDAR) and has prior experience in telecommunications, specializing in traffic monitoring and data network design.

Her expertise spans power management, distributed generation, AI-driven energy solutions, and smart grid technology.

Publication Top Notes:

  • “State-of-the-art review on energy and load forecasting in microgrids using artificial neural networks, machine learning, and deep learning techniques”
    • Citations: 88
    • Published: 2023
  • “The role of mechanical energy storage systems based on artificial intelligence techniques in future sustainable energy systems”
    • Citations: 16
    • Published: 2023
  • “Triple-channel glasses-shape nanoplasmonic demultiplexer based on multi nanodisk resonators in MIM waveguide”
    • Citations: 12
    • Published: 2021
  • “Reducing the vulnerability in microgrid power systems”
    • Citations: 11
    • Published: 2023
  • “Electric vehicles in China, Europe, and the United States: Current trend and market comparison”
    • Citations: 10
    • Published: 2024

 

 

 

Dr. Zhao-Fei Zhang | Ocean Engineering | Best Researcher Award

Dr. Zhao-Fei Zhang | Ocean Engineering | Best Researcher Award

Dr. Zhao-Fei Zhang, Harbin Engineering University, China

Dr. Zhao-Fei Zhang is a dedicated Master’s student at Harbin Engineering University, specializing in wave load analysis of ships, physics-informed neural networks, and peridynamics. His research focuses on the complex interactions between marine vessels and ocean waves, contributing to advancements in maritime engineering. Dr. Zhang has authored several journal articles, including studies on the responses of full-scale ships to solitary waves and the whipping characteristics of container ships in irregular waves. He has participated in various practical projects, such as seaplane take-off and landing experiments on water surfaces and the slamming experiments of large-scale ship models. Currently, he is developing 3D fully nonlinear time-domain hydroelastic potential flow software to enhance maritime research capabilities.

Professional Profile:

Scopus
Orcid

Suitability for the Best Researcher Award:

Dr. Zhao-Fei Zhang is highly suitable for the Best Researcher Award due to his significant contributions to ship dynamics, advanced computational methods, and practical experiments in the marine engineering field. His research addresses important issues in wave load analysis, ship safety, and the use of modern tools such as physics-informed neural networks to solve complex problems. Moreover, his projects demonstrate a strong combination of theoretical knowledge and practical application, both of which are essential in cutting-edge engineering research.

Educational Background:

He is currently pursuing a Master’s degree at the College of Shipbuilding Engineering, Harbin Engineering University (Sep 2022 – June 2024), achieving an impressive GPA of 90/100 (1st out of 85 students). His coursework includes Computational Fluid Dynamics, Viscous Fluid Mechanics, and Wave Load of Ships, under the guidance of prominent researchers.

Research Interests:

Dr. Zhao-Fei Zhang specializes in wave load analysis of ships, physics-informed neural networks, and peridynamics. His work focuses on understanding the complex interactions between marine vessels and ocean waves, contributing to advancements in maritime engineering.

Research Achievements:

Dr. Zhang has authored several journal articles, including:

  1. Responses of a full-scale ship subjected to a solitary wave (2023, Engineering Analysis with Boundary Elements).
  2. Investigation on whipping characteristics of a container ship in irregular waves considering the effect of structural damping (2024, Ocean Engineering).

Project Experience:

He has actively participated in various projects, such as the seaplane take-off and landing experiment on water surfaces and the slamming experiment of a large-scale ship model. Currently, he is developing 3D fully nonlinear time-domain hydroelastic potential flow software to further enhance maritime research capabilities. 🛥️💻

Publication Top Notes:

  1. Title: Vertical water entry of a cylinder considering wind and linearly sheared flow effect: A numerical investigation
    • Year: 2024
    • Citations: 4
  2. Title: Numerical investigation on entry of an inclined cylinder into water under uniform current and wind
    • Year: 2023
    • Citations: 9