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.Β πŸŒβš‘πŸ”¬

Publication ProfileΒ 

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Education And Experiance

  • PhDΒ in Electrical and Electronics Engineering, Imperial College London (2019-present)
    • Research: Real-time modeling for power grid stability with renewable energy sources ⚑
  • MScΒ in Advanced Electrical Engineering, Queen Mary University (2018-2019)
    • Dissertation: Optimizing lithium-ion battery state of chargeΒ πŸ“ŠπŸ”‹
  • BEngΒ in Electrical Engineering, University of Greenwich (2015-2018)
    • First-class honorsΒ πŸŽ“
  • Graduate Teaching AssistantΒ at Imperial College London (2020-present)
    • Taught optimization models and supervised PhD studentsΒ πŸ§‘β€πŸ«
  • Teaching ExperienceΒ at Universal Enrichment Program, Riyadh, Saudi Arabia (2024)
    • Delivered STEM lectures and workshops for high school studentsΒ πŸŒπŸŽ“

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.Β πŸ“šπŸŒπŸ’‘

Research Focus

Aimon’s research is focused onΒ power grid stabilityΒ andΒ renewable energy integration. He specializes inΒ stochastic unit commitment models, optimizing ancillary services likeΒ inertiaΒ andΒ frequency responseΒ from zero-carbon sources, includingΒ flexible nuclear power plants. His work aims to enhance system stability in grids with high penetration of renewable energy sources (RES). Aimon’s contributions toΒ bi-level optimizationΒ andΒ market designΒ 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.Β πŸŒ±βš‘πŸ”§

Awards And Honors

  • PhD ScholarshipΒ at Imperial College London, funded by the IDLES Project (EDF Energy)Β πŸŽ“πŸ’°
  • Awarded DistinctionΒ for MSc in Advanced Electrical Engineering, Queen Mary UniversityΒ πŸ…
  • First-Class HonorsΒ for BEng in Electrical Engineering, University of GreenwichΒ πŸŽ–οΈ
  • Conference PresentationsΒ 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 SystemsΒ πŸ“‘

Publication Top NotesΒ 

  • Importance of Linking Inertia and Frequency Response Procurement: The Great Britain CaseΒ (2021) – Cited by 3Β πŸ“šπŸ”‹
  • Market Design for Ancillary Service Provisions of Inertia and Frequency Response via Virtual Power Plants: A Non-Convex Bi-Level Optimisation ApproachΒ (2024) – Cited by 4Β βš‘πŸ”Œ
  • Co-optimising Frequency-Containment Services from Zero-Carbon Sources in Electricity Grids Dominated by Renewable Energy SourcesΒ (2025)Β Β πŸŒ±πŸ”‹

Dr. Elaheh Yaghoubi | Smart Grid | Best Researcher Award

Dr. Elaheh Yaghoubi | Smart Grid | Best Researcher Award

Dr. Elaheh Yaghoubi, Karabuk University, Turkey

Dr. Elaheh Yaghoubi is a skilled researcher in power system analysis and smart grids, currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where she focuses on optimal power control for grid-connected distributed generation using Model Predictive Control (MPC). She holds a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, specializing in error detection for grid systems. As a Principal Researcher at PEDAR, she integrates AI techniques like machine learning and deep learning into power management solutions and has held senior roles in companies such as Rico Electronics and Kati Kabl Tabarestan Factory.

Professional Profile

Google Scholar

Suitability for the Best Researcher Award:

Dr. Elaheh Yaghoubi is an excellent candidate for the Best Researcher Award. Her ongoing research in optimal power control for distributed generation, coupled with her expertise in MPC and AI integration, positions her as a forward-thinking researcher addressing critical issues in the energy sector. Her work is both theoretically robust and practically applicable, which is essential for the future development of sustainable and intelligent power systems.

Education & Expertise:

Dr. Elaheh Yaghoubi is currently pursuing her Ph.D. in Electronic and Electrical Engineering at Karabuk University, Turkey, where her research focuses on optimal power control of grid-connected distributed generation using Model Predictive Control (MPC). She also holds a Master’s degree in Electrical Engineering from Islamic Azad University, Iran, specializing in error detection for grid systems.

Research Interests:

Her areas of interest include power system analysis, smart grids, renewable energy, distributed generation, and the application of AI techniques like machine learning and deep learning in power management.

Work Experience:

Dr. Yaghoubi is a Principal Researcher at the Power Electrical Developing Advanced Research (PEDAR) Group and has held senior management positions at Rico Electronics and Kati Kabl Tabarestan Factory. Additionally, she worked as a website designer at WebCore Company.

Her work integrates advanced power control strategies with AI-driven solutions for future energy systems.

Publication Top Notes:

  • “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
  • “Tunable band-pass plasmonic filter and wavelength triple-channel demultiplexer based on square nanodisk resonator in MIM waveguide”
    • Citations: 10
    • Published: 2022