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
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
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Importance of Linking Inertia and Frequency Response Procurement: The Great Britain Case (2021) – Cited by 3
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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 
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Co-optimising Frequency-Containment Services from Zero-Carbon Sources in Electricity Grids Dominated by Renewable Energy Sources (2025)