Doctor of Philosophy (PhD)
University of Bath
Topic: Power System Reliability
Hi, I’m Bilal
A PhD Student at the University of Bath, building on my previous MPhil from Royal Holloway, University of London. My research focuses on power systems, battery energy storage systems (BESS), and machine learning enabled decision support for energy system operations and planning.
I’m particularly interested in Power System Reliability, Optimal Power Flow (OPF/SCOPF), and Explainable AI (XAI) for intelligent contingency screening. My work combines data-driven learning with physically interpretable models to improve grid resilience, flexibility, and transparency.
This research supports UN Sustainable Development Goal 7: Affordable and Clean Energy, and the wider transition toward smarter, more efficient energy systems.
Alongside the research I work as a full stack developer across two part-time roles, building agentic AI solutions and web applications. Earlier, as Technical Lead for Machine Learning at HCL Technologies, I took ML features into production products.
Bilal Ahmad
GB Grid, Right Now
The network my research is about, as it is running this half hour. Carbon intensity, where the power is coming from, and what the transmission system is metering. Read live from public feeds each time this page loads.
Reading the grid feeds…
Interactive Research
Three parts of my research you can run in your browser rather than only read about. Each opens on the research page with its method, its assumptions and its sources.
Does resilience change the investment?
One warehouse, three investment plans. See whether fitting the grid connection and riding through an outage changes what should be bought, and what it costs.
Runs in your browser
Contingency screening on the IEEE 14-bus system
Trip any line and watch a full AC power flow re-solve, then see where the textbook severity index ranks that outage, and where it gets the order wrong.
Runs in your browser
Where should the battery go?
Place a battery on a distribution feeder and see whether the network can take it, what it is worth and which way the carbon moves, against the last 24 hours of the GB grid.
Live GB data
Commit Activity
Contributions to my public GitHub work over the last year, commits, pull requests, reviews and issues. Refreshed daily.
Loading commit activity…
@BilalAhmad096 on GitHubEducation
Master of Philosophy (M.Phil)
Royal Holloway University of London
Topic: Power System Optimisation Using Machine Learning
DTU PES Summer School 2026
Technical University of Denmark
Topic: Enhancing Power Distribution System
Reliability with Machine Learning
M.Tech Thesis
RWTH Aachen University
Topic: System Level Control of Inverters in DC Microgrid
Master of Technology (M.Tech)
IIT Roorkee
Electrical Power Systems
First Division with Distinction
Bachelor of Technology (B.Tech)
Aligarh Muslim University
Electrical Engineering
First Division
Skills Stack
Power systems research, applied machine learning, and the software that connects the two.
Power Systems
Modelling and optimising distribution networks reliability and uncertainty.
What I work on
- Optimal power flow: OPF and SCOPF
- Energy Systems Modelling
- Power electronics modelling
- Control system modelling
Libraries and solvers
- Pyomo
- PandaPower
- MATPOWER
- Gurobi
- Ipopt
Machine Learning
Designing domain-specific models, from PS optimisation to production features.
What I work on
- Explainable AI
- ML-based power system analysis
- Computer vision
- OCR, handwriten text extraction
Libraries
- Scikit-learn
- TensorFlow
- PyTorch
- huggingface-hub
- Pandas
- NumPy
Software Engineering
Building the tooling around the research, and the software infrastructure to deploy it.
What I work on
- Automated Power Systems frameworks
- Reproducible experiment pipelines
- Agentic AI based solutions
- Full-stack web development
Languages
- Python
- MATLAB
- Java
- JavaScript
- HTML
- CSS
Recognition
Fellowships
- URSA Fellowship Funded by the University of Bath, United Kingdom
- DAAD Fellowship Funded by the BMZ, Deutschland
- LSC Fellowship Funded by the University of London, United Kingdom
- MHRD Fellowship Funded by the Ministry of Human Resource Development, India
Award
Third Best Paper icSmartGrid 2025, Glasgow, UK
Projects
- Power System Reliability in Adverse Weather Events
- Automated Procurement Framework for DNOs
- System-Level Control of Inverters in DC Microgrids
- Multilevel Inverter with MPP Tracking