Aimon Mirza Baig | Power Grid Stability | Best Researcher Award

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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. Elaheh Yaghoubi | Power System Awards | Best Researcher Award

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Dr. Elaheh Yaghoubi | Power System Awards | Best Researcher Award

Dr. Elaheh Yaghoubi, Karabuk University, Turkey

Elaheh Yaghoubi is a Ph.D. candidate in Electronic and Electrical Engineering at Karabuk University, Turkey, with a perfect GPA of 4.0. Her research focuses on power system analysis, microgrids, power control in smart grids, model predictive control (MPC), and renewable energy. Elaheh earned her M.Sc. in Electrical Engineering from Islamic Azad University, Iran, and has a strong background in quality control, having worked as a senior manager in electronics companies and as a representative for the Iran Standard Organization. She is proficient in various programming languages and software tools and is actively involved in the PEDAR research group. Her notable research includes optimizing power control for grid-connected distributed generation and enhancing security in smart power microgrids.

Professional Profile:

Google Scholar

Evaluation for Elaheh Yaghoubi’s Suitability for the Best Researcher Award

Elaheh Yaghoubi’s exceptional research in power systems, smart grids, and renewable energy, combined with her perfect academic record and practical experience, position her as an excellent candidate for the Best Researcher Award. Her contributions to optimizing power control and enhancing smart grid security, along with her commitment to academic and research excellence, make her a deserving recipient of this prestigious recognition.

🎓Education:

Elaheh Yaghoubi is currently pursuing a Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where she maintains a perfect GPA of 4.0. Her research focuses on optimal power control of grid-connected distributed generation within a hierarchical framework based on Model Predictive Control (MPC). She earned her M.Sc. in Electrical Engineering from Islamic Azad University, Qaemshahr, Iran, also with a perfect GPA of 4.0, where her thesis involved developing a routing algorithm for a large-scale chip grid. She completed her B.Sc. in Electrical Engineering at Aryan Institute of Science and Technology University, Iran, graduating with a GPA of 4.0, and holds an Associate’s Degree in Electrical Engineering from the University College of Rouzbahan, Iran, with a GPA of 3.5.

🏢Work Experience:

Elaheh Yaghoubi is currently a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) Group, a position she has held since 2023. Prior to this, she worked as a Website Designer at WebCore Company from 2019 to 2021. She also has experience as a Senior Manager at Rico Electronics Company (2018-2019) and at Kati Kabl Tabarestan Factory (2015-2018).

🏅Awards and Honors:

Elaheh Yaghoubi has been recognized with the Best Researcher Award, highlighting her significant contributions and achievements in her field of study.

Publication Top Notes:

  • The Role of Mechanical Energy Storage Systems Based on Artificial Intelligence Techniques in Future Sustainable Energy Systems
    • Citations: 14
  • Triple-Channel Glasses-Shape Nanoplasmonic Demultiplexer Based on Multi Nanodisk Resonators in MIM Waveguide
    • Citations: 12
  • Electric Vehicles in China, Europe, and the United States: Current Trend and Market Comparison
    • Citations: 10
  • Tunable Band-Pass Plasmonic Filter and Wavelength Triple-Channel Demultiplexer Based on Square Nanodisk Resonator in MIM Waveguide
    • Citations: 10
  • Reducing the Vulnerability in Microgrid Power Systems
    • Citations: 9

 

 

 

 

 

Ms. Meenakshi Khandelwal | Power System Awards | Best Researcher Award

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Ms. Meenakshi Khandelwal | Power System Awards | Best Researcher Award

Ms. Meenakshi Khandelwal, Indian Institute of Technology Delhi, India

Ms. Khandelwal, with a B.Tech. and M.Tech. in Power Systems, specializes in power distribution network modeling and market operations. Her Ph.D. research at the Indian Institute of Technology Delhi focuses on developing an efficient distribution locational marginal price framework and innovative approaches for optimal power flow and electro-thermal resource interactions. Notable projects include a current-sensitivity-based OPF framework and an aggregator-DNO framework for high DER penetration. Her published work, such as “Current Sensitivity Based OPF Framework for Active Distribution Network,” and practical experience from roles at Kamal Cogent Energy and TISHITU Research & Consultancy underscore her contributions to smart grid technology and sustainable practices.

Professional Profile:

Google scholar

Suitability for the Award

Ms. Khandelwal’s research work has made substantial contributions to the field of power systems, specifically in optimizing power distribution networks and integrating DERs. Her innovative approaches to Optimal Power Flow (OPF) frameworks and market operations demonstrate her advanced knowledge and expertise. Her ability to blend theoretical research with practical applications in power systems further underscores her suitability for the Research for Best Researcher Award.

Educational Achievements:

Ms. Khandelwal’s academic background includes a B.Tech. and M.Tech. in Power Systems, with notable projects and publications that contribute to the field. Her current research work and her publications, such as “Current sensitivity based OPF framework for active distribution network” in the International Journal of Electrical Power & Energy Systems, highlight her ongoing contributions to the field.

Specialized Research Expertise:

Ms. Khandelwal is specializing in power distribution network modeling and market operations, with a focus on mathematical programming and optimization techniques. Her work involves developing advanced models for DERs market participation, which is crucial for the advancement of smart grid technology and energy decentralization.

Significant Academic Contributions:

Her Ph.D. research at the Indian Institute of Technology Delhi focuses on an efficient distribution locational marginal price framework. Her proposed frameworks for optimal power flow (OPF) and electro-thermal resource interactions are innovative approaches that address real-world challenges in distribution networks, particularly in managing uncertainties and enhancing market efficiency.

Innovative Research Projects:

Ms. Khandelwal’s project on a current-sensitivity-based OPF framework for active distribution networks demonstrates her ability to contribute cutting-edge solutions to complex problems in power systems. Her work on an aggregator-DNO framework for high DER penetration further highlights her commitment to advancing smart grid technologies.

Professional Experience and Impact:

Her professional experience includes roles as a Graduate Engineer Trainee at Kamal Cogent Energy and an intern at TISHITU Research & Consultancy. Her involvement in green building design and sustainable practices, as well as her work on a micro-controller based solar tracker, showcases her practical experience and ability to apply theoretical knowledge to real-world applications.

Publication Top Notes:

  • Title: Virtual Power Plant (VPP) Scheduling with Uncertain Multiple Locational Marginal Prices
    • Citations: 4
    • Year: 2022
  • Title: State-of-Art on Flexibility Services in Electricity Markets
    • Citations: 4
    • Year: 2018
  • Title: Profit Based Self Scheduling of Virtual Power Plant Under Multiple Locational Marginal Prices
    • Citations: 3
    • Year: 2018
  • Title: Current Sensitivity Based OPF Framework for Active Distribution Network
    • Year: 2024
  • Title: Electro-Thermal Resource Interaction to Accommodate Inevitable Uncertain Events of Distribution Network
    • Year: 2023