Speaker: Hamideh Anjomshoa  – Gurobi/OPTIMA

Abstract:

Every optimisation model is built to find answers. But in practice, models sometimes return a different result: infeasibility, a signal that the constraints you’ve defined cannot all be satisfied at once. For decision-makers, this is rarely just a technical problem. It often means a planning system has gone silent at exactly the moment a decision is needed.
This presentation offers a practical framework for understanding, diagnosing, and recovering from infeasibility in real-world optimisation models. We walk through how to identify the root cause using Gurobi’s Irreducible Infeasible Subsystem (IIS), a tool that isolates the smallest conflicting set of constraints, and how to restore a workable solution using feasibility relaxation. Along the way, we share the latest solver capabilities, common traps practitioners fall into, and a set of hands-on tricks for navigating infeasibility faster and with more confidence.

Whether you are building optimisation models, overseeing systems that depend on them, or conducting research at the intersection of mathematical programming and real-world decision-making, this talk offers practical tools and clear intuition you can take away immediately.

Bio:
Hamideh Anjomshoa is a Decision and Data Scientist with broad experience working across industry and academia. Currently, she is a Technical Account Manager at Gurobi Optimization, where she helps organisations across Australia and New Zealand solve large-scale industrial optimisation problems. She received her PhD in Mathematics from the University of South Australia in 2011, and has held roles as Associate Professor at the University of Melbourne and Senior Research Scientist at IBM Research Australia. Her work sits at the intersection of mathematical optimisation, machine learning, and data-driven decision-making, with applications in healthcare, mining, and transport. Hamideh is an Associate Investigator at OPTIMA and has contributed to the Australian and international optimisation community through peer-reviewed publications, patents, and industry collaborations.

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This event is on ZOOM only:
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SEMINAR: WED 01 JULY 2026 4.00PM-5.00PM (AEST, Melbourne Time)