Gurobi Summit EMEA 2025
October 28 & 29, 2025
•
Hofburg Conference Centre, Vienna, Austria
In today’s complex and fast-moving world, making bold decisions is not about taking risks — it’s about taking smart, confident action based on intelligence, precision, and insight.
At the Gurobi Decision Intelligence Summit, we invite business leaders and technical practitioners to explore how mathematical optimization and decision intelligence empower organizations to move beyond intuition and drive real-world impact.
Our summit experience is designed to meet the needs of two powerful audiences:
Whether you’re shaping the future of your business or engineering the solutions of tomorrow, the Gurobi Decision Intelligence Summit will equip you with the tools, inspiration, and connections to turn complexity into opportunity — and bold ideas into bold action. Optimization is transforming industries—enabling researchers to push boundaries, data scientists to drive smarter analytics, and business leaders to make faster, more effective decisions. But how can you fully harness its power to create real impact?
At the 2025 Gurobi Summit, you’ll explore The Power of Optimization through expert insights, hands-on learning, and real-world applications. Whether you’re advancing research, building AI-driven decision models, or optimizing complex business operations, this event will provide the knowledge, tools, and connections to help you succeed. Don’t miss this opportunity to learn from industry leaders, exchange ideas, and discover what’s next in optimization.
Don’t leave your decisions to chance! Join us in Vienna, Austria this October.
Choose the track that’s right for you!
Operations Researchers
Sharpen your mathematical modeling and optimization skills, with guidance from our experts.
Data Scientists
Learn how to turn your predictions into optimized business decisions.
Business Leaders
Discover how decision intelligence can help you achieve your business objectives.
 |
Peter BachhieslMathematician Kärnten University of Applied Science |
Peter Bachhiesl is a mathematician. He studied and worked at Graz Technical University and earned his doctorate in a special research domain on mathematical optimization and control. After his employment as a development engineer in the automotive sector, he obtained the position of a lecturer at the Carinthia University of Applied Sciences. In 2002 he was appointed as a full professor for engineering mathematics and stochastics. In his research and development activities he works on industrial applications of combinatorial optimization and mixed-integer linear programming. In this context he co-founded a core competence field on network optimization and -simulation, which focuses on the development and the industrial transfer of decision-support models for the design of fiber-optic access networks. He led numerous development projects in collaboration with network carriers as well as regulation authorities.
 |
Reinhard BürgyMathematical Optimization Scientist Polypoint |
Dr. Reinhard Bürgy is a mathematical optimization scientist and software solution architect with extensive experience in both academia and industry. He specializes in personnel and machine scheduling, with a deep passion for the intersection of business processes, software technology, mathematical modeling, and algorithmic design.
At POLYPOINT, Reinhard leverages his expertise to enhance decision-making in healthcare personnel scheduling. He has played a key role in translating complex operations research theories into practical, real-world applications, significantly improving the efficiency and effectiveness of scheduling processes in the healthcare sector.
 |
Michael GuderChief Technology Officer Levasoft |
Michael Guder is the CTO of Levasoft GmbH and the original creator of the Solar.Pro.Tool – an advanced software solution for planning flat-roof PV systems. With a strong background in software architecture and specialized algorithmic development, he focuses on transforming complex technical challenges into scalable solutions. At Levasoft, he integrates the GUROBI Solver to tackle high-dimensional optimization problems in PV ballast planning and inverter configuration. His work bridges engineering logic with computational efficiency, enabling precise results even in multi-million solution spaces. Michael leads innovation from concept to product, pushing the boundaries of digital PV system design.
 |
Megha GuptaVice President Industry Solutions o9 solutions |
 |
Shrya GuptaDanone |
An accomplished analytics leader with over 15 years of experience, I specialize in driving data-powered decision-making and delivering high-impact AI solutions across diverse domains. Known for a consultative and results-oriented approach, I collaborate closely with senior leadership to shape and execute AI strategies that align with business goals. Passionate about innovation, I’ve successfully transformed AI visions into reality, fuelling strategic growth and competitive advantage. At this global event, I’m excited to present the Deep Blue use case — an initiative that exemplifies how advanced analytics and AI can unlock transformative value for organizations worldwide.
 |
Frank HägerSenior Account Director Gurobi Optimization |
Frank Häger is the Sales Director for the DACH region at Gurobi Optimization. Prior to working at Gurobi, Frank was responsible for Optimization Solutions Sales at FICO in EMEA from 2010 to 2016. He started his career in optimization sales in 1998 at ILOG Germany where he eventually led the German operations as Managing Director until 2008. Frank is a seasoned Sales Professional in the Software Industry for Enterprise Decision Management, focusing on Optimization and Prescriptive Analytics. Frank currently resides in the Hamburg area in Germany.
 |
Daniel HerreroChief Operating Officer Decide4AI |
 |
Ahmet Esat HizirDirector of Operations Research Turkish Airlines |
Ahmet Esat Hızır, PhD., is the Director of Operations Research at Turkish Airlines Technology. His team of Operations Research scientists develop mathematical models and solution methods for various optimization problems at Turkish Airlines. He has more than 18 years of airline industry experience. He holds BSc. and MSc. degrees in Industrial Engineering and an MSc. degree in Air Transport Management. He received his PhD degree from Massachusetts Institute of Technology. With his dissertation titled “Large Scale Airline Recovery using Supervised Learning and Mixed-Integer Optimization” he was granted the “Best Innovation” award at 2024 AGIFORS Crew Management Study Goup Meeting.
 |
Jorge Eleazar Lopez CoronadoSenior eXpert in Decision Making and Optimization Airbus |
 |
Paula Mansilla MartinezHead of Finance, Network, HR & Corporate in Data & AI Iberia |
Paula Mansilla is Head of Finance, Network, HR & Corporate in Data & AI at Iberia, where she leads the strategic development of data-driven solutions across these areas. With 10 years of experience in Business Intelligence and Big Data, she has successfully managed cross-functional teams and complex transformation projects. With international experience across Spain and the UK, and an MBA from ICADE Business School, she bridges the gap between technical capabilities and business impact, helping organizations unlock value through smart data use and process improvement.
 |
Duke PerrucciChief Executive Officer Gurobi Optimization |
Mr. Perrucci has more than 30 years of experience in roles spanning sales, marketing and analytics. He joined Gurobi in 2018 as the CRO, heading both sales and marketing. He then moved into the COO role and ultimately the CEO position in 2023. Prior to Gurobi, he held the position of CRO at Cambridge Analytica – a predictive analytics firm. Here he built the commercial practice in North America by helping companies drive better advertising through the use of artificial intelligence. Before Cambridge he spent 8 years in the MarTech space with FocusVision. Here he built a global sales organization across 6 continents and 10 offices. Prior to FocusVision, Mr. Perrucci spent a total of 9 years at Information Resources Inc. (IRI) working in various analytic consulting roles across the entire PepsiCo enterprise. After the first 4 years at IRI, he decided to gain experience on the brand side and moved into analytics at Unilever. Before long he secured a position in brand management working on the Bertolli business – a $400 million brand in the United States. When IRI came calling again, it was an offer too good to pass up – running the Pepsi Cola and Quaker businesses out of PepsiCo’s world headquarters in Purchase, NY. Before this journey, Duke earned a BA in Classical Civilization from Fordham University. While en route, he earned his MBA from Cornell University.
 |
Johannes PrescherHead of IT & Tools Network-Team A1 Telekom |
Johannes is the Head of IT & Tools in A1 Telekom Austria AGs Network-Team. Together with his team he provides tools and support for engineers working in the field for A1 customers, as well as tools and support to run, extend and optimize A1s mobile and fixed infrastructure.
 |
Dr. Kostja SiefenSenior Director of Technical Account Management Gurobi Optimization |
Dr. Kostja Siefen leads the global Technical Account Management team at Gurobi Optimization. Kostja holds a Ph.D. in Operations Research from the University of Paderborn (Germany). He joined Gurobi in 2015 after many years of experience in the development and design of decision support systems using mathematical optimization. Before joining Gurobi he worked at Daimler Research & Development and as a lecturer at the University of Paderborn. Since 1998, before focusing on optimization and during his studies he continuously worked as system administrator, software developer and support engineer for an IT service company. Kostja has been active in academic teaching and customer training since 2009. Beyond Gurobi, Kostja enjoys spending time with his family, working as a Les Mills group fitness instructor, traveling and good food.
 |
Ronald van der VeldenManager of Technical Account Management - EMEA Gurobi Optimization |
Ronald van der Velden holds a MSc degree in Econometrics and Operations Research at the Erasmus University in Rotterdam. He started his career at Quintiq where he fulfilled various roles ranging from creating planning and scheduling models as a software developer, to business analysis and solution design at customers worldwide, as well as executing technical sales activities like value scans and "one week demo challenges". He also spent two years as a lead developer at a niche company focused on 3D graphics in the entertainment industry before going back to his mathematical roots at Gurobi. In his spare time he loves spending time with his wife and two sons, going for a run on the Veluwe and working on hobby software projects.
Please come with plenty of time to get settled. Coffee, tea and the Gurobi team will be waiting to welcome you and get you set up for the day.
Join Duke Perrucci, CEO of Gurobi Optimization, as he kicks off the summit with an inspiring keynote on the transformative power of mathematical optimization. In a world increasingly driven by complex decisions and data, optimization has become a critical tool for organizations striving to operate smarter, faster, and more efficiently.
Duke will share his vision for the future of decision intelligence, Gurobi’s role in shaping that future, and how innovation and customer collaboration continue to fuel the company’s growth.
Join Oliver Bastert, Gurobi’s Chief Technology Officer, for an inside look at the Gurobi product roadmap. He’ll share what’s new, what’s coming next, and how Gurobi continues to push the boundaries of solver performance and innovation. Learn how customer feedback, emerging technologies, and industry trends are shaping the future of our optimization engine.
Efficient planning and cost-effective rollout of fiber optic networks are major challenges for infrastructure providers and municipalities. At A1, we are using a fully automated FTTH planning tool to define expansion areas directly within the GIS system and calculate reliable preliminary designs, including detailed cost reports, within minutes.
This approach allows us to calculate hundreds of networks and various expansion strategies in parallel which we then prioritize based on ROI and revenue forecasts. The result: greater transparency in decision-making, significant time and cost savings, and maximum planning confidence for all stakeholders in fiber network deployment.
Enjoy your hot or cold drink while connecting with fellow attendees. A perfect moment to recharge and network.
Take a break to enjoy lunch, connect with peers, speakers and the Gurobi team and recharge for the afternoon sessions.
Join Ronald van der Velden, Manager of Technical Account Management – EMEA, and Kostja Siefen, Senior Director of Technical Account Management, for an inspiring look at what it means to Empower Bold Decisions with Gurobi. Discover how technical users are modeling complexity without compromise, solving ambitious challenges, and turning data into action through advanced mathematical optimization. This session will highlight real-world examples, best practices, and the strategic role of technical collaboration in maximizing the value of optimization.
Explore how Gurobi’s technology is being used to create meaningful change through our Corporate Social Responsibility initiative, Gurobi Gives Back. This session highlights a real-world use case where mathematical optimization was applied to support a mission-driven cause. See how bold, data-driven decisions can extend beyond business—delivering social impact and demonstrating the power of optimization as a force to make the world a better place.
Learn how Empowering Bold Decisions through optimization and decision intelligence can reshape your organization’s strategy, operations, and competitive advantage.
Gain insights from real-world success stories, discover how bold data-driven actions drive better outcomes, and explore cutting-edge strategies that set industry leaders apart.
Key takeaways:
Experience how PepsiCo, a Gurobi customer, is Empowering Bold Decisions through optimization and decision intelligence. In this inspiring session, you’ll hear how bold, data-driven choices reshaped their strategy and operations — delivering measurable impact and a lasting competitive edge.
Hear from Gurobi as we explore what it means to lead with clarity and confidence in today’s complex world. Discover how optimization empowers bold decisions that deliver lasting impact. This session will challenge conventional thinking and inspire business leaders to see decision intelligence as a catalyst for innovation, resilience, and competitive advantage.
Efficient personnel scheduling in health care is a complex, dynamic challenge involving diverse roles, preferences, and constraints. This talk presents the smartPEP solution by POLYPOINT, which empowers planners and staff through participatory planning and intelligent optimization to streamline the monthly scheduling process. By integrating staff preferences, contractual agreements, and department-specific requirements, smartPEP enables fair, high-quality schedules while significantly reducing planning effort. The system leverages advanced algorithms—including custom work block generation and integer linear programming—to automate the schedule generation process. A key feature is a modern, web-based planning board that allows planners to launch schedule generation, evaluate plan quality, and make manual adjustments with ease.
Our customers have reported substantial time savings and improved satisfaction among staff and planners alike. This session explores the underlying decision science, showcases real-world feedback, and highlights how smartPEP supports bold, collaborative, and data-driven decisions in health-care workforce management.
Take a break to enjoy lunch, connect with peers, speakers and the Gurobi team and recharge for the afternoon sessions.
Artificial Intelligence has become a cornerstone in driving Iberia’s digital transformation, significantly reshaping operations, customer experience, and strategic decision-making. While substantial progress has been made, optimization remains a promising yet underexplored frontier. This talk highlights AI’s pivotal role at Iberia, illustrating transformative impacts across multiple business areas. Specifically, it will delve into how advanced optimization tools, such as commercial solvers like Gurobi, have delivered tangible value by streamlining complex operations and resource allocation challenges. Through concrete examples of successful applications, the session emphasizes that, despite current achievements, there remains significant untapped potential. By embracing optimization-driven strategies, Iberia can continue its trajectory toward operational excellence and industry leadership.
Wrapping up the day, this session highlights key insights and bold ideas shared throughout the Business Track. Reflect on the strategies, lessons, and inspiration that will help you drive smarter, bolder decisions and create greater impact within your organization.
Dive deep into the art and science of optimization modeling — where Empowering Bold Decisionsmeans solving complexity without compromise.
Discover how Gurobi users push the boundaries of what’s possible, model intricate challenges, and unlock new solution spaces to power smarter strategies and innovation.
Key takeaways:
Current communication systems are significantly impacted when network flow demands exceed available resource capacities. Traditional prioritization mechanisms aimed at ensuring quality of service often become ineffective under such high congestion levels. This challenge is further compounded in radio link networks (e.g., satellite links), where congestion may arise due to exogenous factors such as rain, fog, sandstorms, or solar activity.
To ensure that priority traffic is delivered reliably — while respecting the specific constraints of individual network flows— we propose a mathematical optimization-based approach. In this talk, we will present the formulation of the underlying model, the rationale behind its design choices, and the operational constraints, particularly w.r.t. execution time. We will also demonstrate how Gurobi is able to solve these models in milliseconds, enabling real-time deployment in industrial settings.
Finally, we will showcase a live demonstrator using real network equipment and the decision engine built on the techniques discussed in this presentation.
Levasoft leverages the Gurobi Solver to solve complex optimization challenges in the planning of flat-roof photovoltaic systems – particularly in ballast calculation and inverter configuration.
Since flat-roof systems are not mechanically fixed but held in place by ballast, planning requires precise calculations based on factors such as wind load, building geometry, and engineering reports. Economic parameters like cost and installation speed also play a crucial role. The search space often includes tens of millions of possible combinations. Gurobi delivers optimal results with exceptional performance – and verifies their validity at the same time.
Gurobi also powers the automated selection of inverters. From thousands of technical and financial parameters, it identifies the most efficient configurations in seconds.
Hear from Gurobi as we explore how optimization empowers technical teams to solve complex challenges with clarity and precision. This session will highlight bold, model-driven decision-making in action—demonstrating how mathematical optimization supports innovation, scalability, and real-world impact across industries.
The automated machine-based design of next-generation access fixed networks under consideration of detailed real-world geographical data, usable and existing network infrastructure and a variety of user individual network design principles is still a challenging task with respect to the computational complexity. In this context we present the methodology and technical implementation of an according generic network solver approach, which has been developed for the operational use of A1Telekom Austria in order to achieve real world network designs and corresponding investment estimates within user acceptable time spans. We sketch the underlying data as well as the mathematical modeling, which is characterized by a meta-heuristic approach. Hereby the computational power of the Gurobi Optimizer is used in order to solve the underlying combinatorial base models. Hence, we discuss these base models in detail and especially focus on the challenges arising from the complexity of real-world data in providing good quality initial solutions, in managing the descent performance and in handling arising modelling and data conflicts. Moreover, we describe the technical integration of the Gurobi Optimizer by using a middle ware application, which on the one hand supports a context-specific control of the optimizer by the system user and which on the other hand reduces the maintenance effort of the overall system.
Airlines plan their aircraft and crew schedules using OR methods. However, these schedules are often disrupted due to the irregular nature of flight operations. Airline recovery aims to minimize the cost of these disruptions by adjusting aircraft routes, crew schedules, and passenger itineraries. Due to time constraints, traditional OR methods cannot fully address these issues. This research introduces a novel approach that combines mixed-integer optimization and supervised machine learning to tackle large-scale airline recovery problems more effectively. By analyzing historical disruption patterns, the method adds constraints to the optimization model, significantly narrowing the solution space for faster computation. Computational studies using real-world data from US airlines with over 2,500 daily flights demonstrate that the proposed approach can generate solutions of significantly higher quality than benchmark methods.
Significant progress in optimization software can be facilitated by advances in algorithms or computing environments. 2025 has been a particularly exciting year in optimization due to advances in both. Graphical Processor Units (GPUs) have been very successful in the computations associated with Large Languages Models (LLMs), raising the question of whether they provide similar performance
boosts to optimization algorithms. GPUs can perform very simple calculations with massive parallelism.
However, most of the computations in the simplex methods, barrier algorithm, and branch and bound algorithm are more complex. Thus, attaining massive speed ups in GPUs for these methods is more complicated than simply recompiling existing implementations on a machine with GPU. Fortunately, the recent appearance of the Primal-Dual Hybrid Gradient algorithm (PDHG) illustrates the synergy between hardware and software that yields potentially larger speedups. PDHG relies on only the simple computations upon which GPUs thrive.
This presentation will provide a preview into version 13 of Gurobi, scheduled for November of 2025. This will include an update on development efforts on PDHG, both on CPUs and GPUs. We will also discuss advances in the global MINLP solver, including support for additional modeling constructs, improved heuristics, development efforts on a dedicated local nonlinear solver, and other performance improvements.
The DeepBlue project at Danone is an initiative aimed at optimizing milk sourcing using the Gurobi mathematical solver. The project is part of the end-to-end milk source-to-pay process and involves monthly business case runs and quarterly rolling forecasts. The main challenge addressed by DeepBlue is balancing milk supply and demand, considering factors like cow seasonality, promotion, and consumption seasonality
Wrapping up the day with key insights and reflections from the technical track. This session will bring together the main takeaways, highlight emerging themes, and leave you with practical inspiration to apply optimization more boldly and effectively in your work.
This presentation offers a unique opportunity to witness live optimization model tuning by Gurobi Experts. We will demonstrate real-time parameter adjustments, showcasing the step-by-step process and strategies employed to enhance performance. Attendees will gain valuable insights into identifying key performance factors and mastering parameter tuning techniques for optimized results. If you have a model you’d like to see tuned during the session, please reach out to us at support@gurobi.com for instructions to send us your model.
In this session we explore some of Gurobi’s advanced features through the lens of solution explainability, including solution pools, infeasibility analysis, and multi-scenario analysis. Explainability in practice requires both technical skills and successful communication with stakeholders who don’t know how Gurobi works (and that’s ok!). We show how these tools are not just for modeling – they can help users interpret optimization results and build trust their solutions.
Gurobi has a ScaleFlag parameter that can help improve performance on numerically unruly models. However, in some cases using this parameter treats the symptom of the problem rather than the root cause.
Better performance, both regarding run time and solution quality, may be obtained by considering the best scaling choices during the model formulation process. After discussing suitable background information, this presentation will consider scaling strategies for model creation, including proper choice of units of measurement and alternate formulations to preempt numerical problems.
Explore how to use Large Language Models (LLM) to find ideas, develop models, and write code.
Finding high-quality feasible solutions quickly is a key challenge in real-world optimization applications. Gurobi is equipped with a rich set of heuristics that enable rapid solution generation and improvement to strike the balance between time-to-good-solutions and proof-of-quality. This talk will explore heuristics as an integral part of Gurobi’s solving strategy and demonstrate how certain non-default settings can drastically reduce the time-to-first-solution on certain models. Join us to discover how Gurobi makes advanced mathematical optimization a practical and effective tool for real-world decision-making.
Take a break to enjoy lunch, connect with peers, speakers and the Gurobi team and recharge for the afternoon sessions.
23911
23916
23918
23919
23920
23921
23923
23926
23928
23931
23932
24036
24038
24041
24043
24044
24047
24049
24050
24052
24053
24059
24061
24062
24075
24076
24077
24079
24080
24081
Gurobi Summit EMEAI 2025
Choose the evaluation license that fits you best, and start working with our Expert Team for technical guidance and support.
Request free trial hours, so you can see how quickly and easily a model can be solved on the cloud.