Modelling and solving a special case of the workforce scheduling problem using Python MIP and the COIN-OR CBC solver.
A Testing Framework for Decision-Optimization Model Learning Algorithms
Polyhedron is a domain-driven Python optimization modeling framework that turns business entities into transparent MILP/MIQP models, with built-in diagnostics, scenario analysis, and robust solver interoperability.
Decision optimization web tool
IBM ILOG CPLEX problem 1: max strength minimise recruit time
Reinforcement learning simulation comparing exploration and exploitation policies for adaptive decision optimisation.
Card fraud scoring that ends in a decision: LightGBM on IEEE-CIS data, then cost-based approve, review and decline thresholds tuned for profit and review-queue capacity. Leakage tests and a monitoring plan.
Simulation and decision platform for commercial EV fleet charging. Compares Nearest, Cheapest, and ML-informed dispatch policies using demand forecasting and a physics-informed energy model, with stress tests under demand surges, cold weather, and charger outages.
[RESOURCES] Some IBM Watson Examples
ASE Master Degree, 2° Semester, 1° Year
AI-powered revenue recovery system that combines recoverability prediction, economic optimization, deterministic guardrails, and bounded workflows for failed and at-risk payments.
Semi-Markov deterioration modelling and maintenance decision optimisation demo for engineering asset health management.
A closed economic state machine for verifiable problem solving. Everything is an asset. Every change is an exchange.
SLA-aware ticket assignment with heuristic baselines and a rolling CP-SAT scheduler
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