Gurobi Connect Abu Dhabi
May 8, 2025 I Abu Dhabi

Opening words by the organizer

The UAE’s bold energy goals—Net Zero by 2050, 60% clean electricity by 2035, and a 15 million ton hydrogen target—are globally ambitious, realizing them requires navigating enormous complexity.

In this keynote, Frank Häger explores how mathematical optimization is becoming the strategic infrastructure behind successful energy transitions worldwide. Drawing from global and regional momentum, Frank demonstrates how optimization transforms massive data and interconnected challenges into actionable, predictive decisions.

From national planning to real-time operations, this session reveals how leaders across the Middle East can move from vision to velocity—one optimal decision at a time.

Omar Atta, Chief Executive Officer, Gulf Data International (GDI)

Mazen Allaf, Account Director, Gulf Data International (GDI)

The UAE is rapidly evolving with ambitious goals like AI adoption, economic diversification, and sustainability. As the country drives toward its Vision 2031 and Net Zero 2050, optimization becomes essential for high-stakes decision-making. Powered by Gurobi’s world-leading solver, GDI is at the forefront of transforming complex challenges into strategic advantages. From improving traffic congestion and optimizing municipal services to revolutionizing energy trading and hydrogen strategies, GDI’s solutions enable smarter, more efficient governance. Together with Gurobi, GDI helps the UAE achieve its smart city, sustainability, and energy goals, turning visionary plans into actionable, measurable outcomes.

Optimization-based decision support systems often struggle to gain acceptance despite their potential. User trust and clear understanding are crucial for their success. This talk provides practical strategies to build trust through transparent communication, intuitive presentation, and solution interpretability. We discuss user-driven actions, such as setting clear expectations, stakeholder involvement, and clear solution communication. Additionally, we showcase Gurobi solver features—including solution pools, sensitivity analysis, and feasibility relaxation—that help users understand optimization outcomes more deeply. The talk communicates actionable ways to improve transparency, foster trust, and successfully integrate optimization solutions into real-world decision-making.

Mazen Allaf, Account Director, Gulf Data International (GDI)

In today’s fast-moving markets, optimization is no longer optional, it’s essential. GDI’s solution, powered by Gurobi, transforms complex energy operations into clear, data-driven decisions in minutes. This modular, intuitive platform empowers planners, analysts, and managers to quickly create actionable plans using drag-and-drop functionality and scenario analysis. By enhancing resource utilization and streamlining planning, GDI helps companies boost operational efficiency and reduce costs.

While designed for energy, its adaptability extends to industries like power generation, logistics, and infrastructure. Join us to discover how GDI’s cutting-edge solution can unlock smarter decision-making, optimize workflows, and drive long-term profitability.

Vijay Patil, Associate Director of OR and AI, ORMAE, India

Rahul Swant, Senior OR scientist, ORMAE, India)

Preventive maintenance is important in the oil and gas industry due to the high-risk environment, complex and expensive assets, and stringent regulatory requirements.By having a good preventive maintenance plan, balanced activity schedule that is consistently executed, oil and gas companies can significantly enhance safety, improve operational efficiency, reduce costs, and ensure regulatory compliance in their complex and demanding environment.

In this session, we talk about annual load balancing, also known as load smoothing math models, powered by GUROBI. Load smoothing a policy to distribute ​maintenance workload more evenly throughout the year. Benefit of this approach is reduced peak demands and optimal resource utilization. This is achieved by shifting tasks or activities from periods of high demand to periods of lower demand. Application was developed using GUROBI solver and deployed reducing 2 months of manual planning efforts for multiple work centres to just 1 day. Join us to understand how you can achieve peace of mind thanks for balanced maintenance activity schedule generated by GUROBI solver.