Delivered the guest lecture An Open-Source Toolbox for Embedding Neural Stability Surrogates in Stability-Constrained Optimization at the University of Strathclyde, Glasgow. Course details.
News
Research, teaching, awards, and academic updates.
Research, teaching, awards, and academic activities, listed most recent first.
Open-sourced NCET, a toolbox for embedding neural stability surrogates in stability-constrained optimization. NCET package.
Presented Input Convex Neural Network as a Surrogate in Stability-Constrained Optimization for IBR-dominated Power Systems.
Presented Structured Differentiable Optimization for Efficient Decision-Focused Learning in Power Systems at the EPICS Bimonthly Meeting, covering theory, software, and IEEE 118-bus evidence. Slides.
Open-sourced DiffAPQP and the accompanying power-system experiments for Structured Differentiable Optimization for Efficient Decision-focused Learning in Power Systems. DiffAPQP package · Power-system experiments · Preprint.
Delivered the guest lecture Introduction to Machine Learning (with Examples in Power Systems) for 2026 Imperial Summer School on sustainability. Course details.
Our paper Qubit-Efficient Quantum Annealing for Stochastic Unit Commitment was accepted for publication in IEEE Transactions on Power Systems. Paper · Preprint.
Delivered the guest lecture Introduction to Machine Learning (with Applications in Energy Systems) for MECH70039 at Energy Futures Lab, Imperial College London. Course details.
Assessing Land Eligibility for Solar Photovoltaic Deployment in the UK, led by MSc students from Energy Futures Lab, was published at IEEE UPEC 2025. Paper.
Presented Both Data and Physics Matter, But How to Integrate Is a Problem! at the Department of Electrical and Electronic Engineering's Gabor Lecture. Poster.
Received the Best Poster Award at the 2nd International Summer School on IBR-Dominated Power Systems, hosted by Tsinghua University in Beijing.
Completed the 2nd International Summer School on IBR-Dominated Power Systems, organised by Imperial College London and Tsinghua University.
Presented On the Incorporation of Stability Constraints into Sequential Operational Scheduling at the 2nd International Summer School on IBR-Dominated Power Systems.
Began a two-month visiting scholarship in the Department of Electrical Engineering at Tsinghua University, hosted by Assoc. Prof. Ning Zhang.
Guoxuan Cui presented our work on stability constraints in sequential operational scheduling at the IEEE PES General Meeting 2025 in Austin.
Released the preprint LAPSO: A Unified Optimization View for Learning-Augmented Power System Operations. Paper.
Helped host the inaugural launch of the CIGRE UK London Region Universities Hub at Imperial College London.
Awarded Associate Fellowship of the Higher Education Academy (AFHEA) by Advance HE.
Presented Smart Predict and Optimize for Energy Forecast with Dr Akylas Stratigakos in the G-PST/ESIG Reliable Energy Forecasting webinar series.
Released Qubit-Efficient Quantum Annealing for Stochastic Unit Commitment, led by Wei Hong. Paper.
On the Incorporation of Stability Constraints into Sequential Operational Scheduling was accepted for the IEEE PES General Meeting 2025. Paper.
Released On the Incorporation of Stability Constraints into Sequential Operational Scheduling. Paper.
My PhD thesis, Blending Data and Model for Robust and Secure Power System Operations, was published by Imperial College London. Thesis.
Efficient Sampling for Data-Driven Frequency Stability Constraint via Forward-Mode Automatic Differentiation was accepted at IEEE PES ISGT Europe 2024. Paper.
The MediaTek Research internship work Exact, Tractable Gauss–Newton Optimization in Deep Reversible Architectures Reveals Poor Generalization was accepted at NeurIPS. Paper.
Started as a Research Associate in the Control and Power Research Group, Department of Electrical and Electronic Engineering, Imperial College London.
Successfully defended my PhD thesis.
No matching items