Aimon Mirza baig

Deep expertise in power system operability, modelling and optimisation with a PhD in Techno-economic assessment of flexible assets in low carbon power systems from Imperial College London. Experienced in stability analysis, inertia and FR assessment and ancillary services market design. Skilled in simulating and analysing complex energy systems for zero-carbon integration using tools like Python, MATLAB and C++.

Proven ability to collaborate across academia and industry, communicate technical insights effectively, and support the development of new service frameworks vital to future grid stability.

Energy Market Design & Market Analysis at Brunel University London (2025-01 – 2025-12)

• Developed a novel pricing mechanism for ancillary services based on marginal cost principles.
• Integrated flexible nuclear plant operational characteristics to assess its market impact.
• Analysed market data from National Grid and presented key insights to support decision-making by stakeholders

Energy System Modelling & Decarbonisation at Brunel University London (2024-01 – 2024-12)

• Developed a GB power system model in Python for the simultaneous scheduling of energy and ancillary services, using system data from the National Grid's 2030 Future Energy Scenario.
• Conducted socio-economic cost-benefit analysis, demonstrating the economic and operational value of low-carbon technologies businesses in their decision-making process for new projects.

Renewable Energy & Smart Power Grids at Shanghai Jiao Tong University (2023-01 – 2023-12)

• Collaborated with the Laboratory of Power Transmission and Conversion in China to design optimisation models for integrating virtual power plants into smart grid control systems.
• Facilitated scenario analysis for GB's 2030 electricity market, contributing to supply-demand balancing and system operability assessment.

Power System Optimisation, Dynamics & Stability at Technical University Madrid (2022-01 – 2022-12)

• Incorporated advanced optimisation techniques into scheduling algorithms to enhance power system stability and performance.
• Implemented post-fault system dynamics and frequency response constraints using C++ within the Visual Studio environment.
• Collaborated with EDF to support future GB power system scenarios, including integration of large-scale nuclear generation like Hinkley Point C.

STEM Instructor at Universal Enrichment Program (2024-01 – 2024-12)

• Delivered an intensive STEM program to academically gifted high school students, emphasising the role of engineering and innovation in supporting net-zero energy system transformation.
• Designed and facilitated hands-on workshops aligned with real-world system operability challenges, real-world problem-solving, and awareness of global decarbonisation challenges.
• Communicated complex energy system concepts clearly and accessibly, developing skills critical to engaging stakeholders and promoting informed understanding of future system needs.

Graduate Teaching Assistant at Imperial College London (2020-01 – 2024-12)

• Delivered academic support for undergraduate and postgraduate courses in Mathematics, Control Systems, and Electromagnetism, applying strong analytical and quantitative skills.
• Supervised a PhD student on optimisation modelling using techniques, directly reinforcing skills in power system fundamentals and modelling.
• Strengthened communication skills by translating complex technical content into accessible guidance, facilitating cross-team collaboration with internal and external industry stakeholders.

PhD in Electrical and Electronics Engineering – Imperial College London (2019-01 – 2025-12)

MSc in Advanced Electrical Engineering – Queen Mary University (2018-01 – 2019-12)

BEng in Electrical Engineering – University of Greenwich (2015-01 – 2018-12)