Our Blog
Technical insights, methodology breakthroughs, and key results from our active research projects and publications.
Featured Posts
Routing and Scheduling in Home Health Care: The Power of Online Time Slot Selection
How a novel bi-level optimization and Adaptive Large Neighborhood Search (ALNS) framework addresses the emerging challenge of online time slot booking in home healthcare routing.
Who Wins When Uber and Taxis Compete? The Case for Pareto-Optimal Regulation
A new bi-level optimisation and Bayesian framework identifies the full Pareto frontier of regulatory trade-offs between passengers, drivers, platforms, and government in coupled ridesourcing and taxi markets.
OptimalTransit Hub: An End-to-End Analytics and Optimisation Platform
Fusing multisource transit data into a unified data pipeline that diagnoses service problems and prescribes evidence-based improvements through stochastic optimisation.
The Inverse-Square Rule: Smarter Algorithms, Better Buses
Introducing the Inverse-Square Rule: a mathematical breakthrough that transforms bus timetable optimization, achieving 36-45% cost reductions where traditional solvers fail.
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Routing and Scheduling in Home Health Care: The Power of Online Time Slot Selection
How a novel bi-level optimization and Adaptive Large Neighborhood Search (ALNS) framework addresses the emerging challenge of online time slot booking in home healthcare routing.
Who Wins When Uber and Taxis Compete? The Case for Pareto-Optimal Regulation
A new bi-level optimisation and Bayesian framework identifies the full Pareto frontier of regulatory trade-offs between passengers, drivers, platforms, and government in coupled ridesourcing and taxi markets.
OptimalTransit Hub: An End-to-End Analytics and Optimisation Platform
Fusing multisource transit data into a unified data pipeline that diagnoses service problems and prescribes evidence-based improvements through stochastic optimisation.
AI-Enhanced Carbon Management: A Strategic Leap Beyond Compliance
Transforming carbon reporting from a retrospective compliance burden into a prospective strategic asset using Large Language Models and Stochastic Optimization.
The Inverse-Square Rule: Smarter Algorithms, Better Buses
Introducing the Inverse-Square Rule: a mathematical breakthrough that transforms bus timetable optimization, achieving 36-45% cost reductions where traditional solvers fail.
Evaluating Manchester’s Bee Network: Data-Driven Insights and Optimization Opportunities
Overview of the Manchester Bee Network with data-driven insights to improve patronage and mode share.