Workshop Program

Program

Keynotes sessions

Five Problems with Generative Artificial Intelligence. Humberto Bustince (Universidad Pública de Navarra)

September 25, 2025, 11:00- 12:00

We are living through a revolution driven by the rapid developments in generative artificial intelligence. However, some of the challenges in this field are far less known and discussed. The objective of this talk is precisely to highlight five of the main problems surrounding this technology, not only from a technical perspective but also from a social one. In particular, we will consider aspects that are often hidden behind the headlines, such as privacy risks, biases, and environmental costs, which should be taken into account in order to make a proper assessment of the capabilities of deep learning techniques.

Humberto Bustince Sola is a full professor of Computer Science and Artificial Intelligence at the Public University of Navarra and honorary professor at the University of Nottingham since 2017. He has published over 300 works (around 120 in Q1 journals), introducing key concepts in data fusion and uncertainty handling in AI, such as ignorance functions, overlap functions, admissible orders, CF-integrals, preaggregations, and d-integrals. He collaborates with leading research groups worldwide and serves as editor-in-chief of Mathware & Soft Computing and Axioms, as well as on the editorial boards of Fuzzy Sets and Systems, Information Fusion, and the International Journal of Computational Intelligence. 

Multi-Criteria Optimization for Cybersecurity Risk Management in Space Mission Supply Chains. Bartosz Sawik (AGH University of Krakow)

September 25, 2025, 14:30- 15:30 

Space mission supply chains are increasingly complex and digitally interconnected, making them highly susceptible to sophisticated cyber threats. Ensuring cybersecurity in these environments is a multidimensional challenge that requires balancing competing objectives such as cost, performance, resilience, and risk exposure.

This talk presents a multi-criteria optimization framework for cybersecurity risk management in space mission supply chains, enabling informed trade-off analysis across diverse operational and strategic goals. The proposed approach integrates cyber threat modeling, system vulnerability assessment, and mission impact analysis to quantify risk and evaluate mitigation strategies. Conditional Value at Risk (CVaR) is employed as a tail-sensitive metric to capture the potential impact of rare but high-consequence cyber events. By embedding CVaR into a multi-objective decision model, we enable optimization across multiple criteria, such as minimizing expected loss, maximizing system availability, and limiting budgetary overhead.

A case study is presented using a representative supply chain scenario, demonstrating how this framework supports decision-makers in identifying robust cybersecurity strategies that balance risk tolerance with operational priorities. Results reveal that optimal solutions vary significantly depending on the weighting of mission-critical objectives, highlighting the importance of a customizable, data-driven approach. This work advances the state of cybersecurity risk assessment for space missions by introducing a rigorous, multi-dimensional optimization framework tailored to the unique constraints and risks of the space domain.

Dr. Bartosz Sawik is a Professor at AGH University of Science and Technology in Krakow, Poland. He currently serves as the Associate Dean of Research (Vice-Dean for Science) at the Faculty of Space Technologies and is the head of the Multi-Criteria Optimization for Space Applications research group. Additionally, he is a Visiting Researcher at the University of California, Berkeley. Dr. Sawik holds a Ph.D., M.Sc., and Eng. in Operations Engineering, each earned with honors, from AGH University. His research expertise encompasses multi-criteria optimization, mixed-integer programming, green vehicle routing, supply chain resilience, cybersecurity optimization, and the deployment of automated parcel lockers, among other areas. His recent work includes optimization models for space mission logistics, which balance risk, sustainability, and supply chains, as well as cybersecurity investment strategies using mixed-integer programming. His other contributions include models for healthcare service assignments, portfolio optimization under risk constraints, and weighted-sum approaches to healthcare optimization. Dr. Sawik has participated in numerous national and international research projects, both as Principal Investigator and Investigator. He also advises Ph.D. students and serves as an expert for major Polish research agencies, including NCBiR and PARP. Furthermore, he represents NCBiR on the supervisory board of the Bridge-Alpha investment fund.

Optimizing for Social Impact: Enhancing Efficiency and Equity. Helena Ramalhinho (Universitat Pompeu Fabra)

September 26, 2025, 9:00- 10:00 

Optimization plays a vital role in generating social impact by enabling the efficient allocation of resources, supporting better decision-making, and increasing the effectiveness of various initiatives. In sectors such as healthcare and social services, the use of optimization techniques can lead to significant cost savings, improved utilization of resources, higher satisfaction among personnel and service users, and—most importantly—ensures that limited resources are directed to those who need them most. Ultimately, this fosters a more equitable and sustainable society.

In this talk, we will introduce optimization tools grounded in mathematical modeling, algorithmic methodologies, and metaheuristics, with a focus on their application to Social Care Services. We will showcase real-world implementations involving organizations such as Banc del Moviment, Suara, and the Barcelona City Council.

The presentation will highlight specific applications, including:

• Logistics and scheduling for in-home social and healthcare services
• Optimization of assistive technology service delivery
• Mobility solutions for social care provision
• Optimization of shared door-to-door transportation for people with disabilities

We will discuss the mathematical programming models and metaheuristic algorithms used in these cases, emphasizing the unique challenges and considerations of applying these tools in social care compared to more traditional domains such as manufacturing and retail.

Helena Ramalhinho Lourenço is a Full Professor at the Economics and Business Department at the University Pompeu Fabra, Barcelona, Spain. She has a B.A. and Master degree in Statistics and Operations Research from the Faculty of Sciences of the University of Lisbon, Portugal, and a Ph.D. in Operations Research from Cornell University, New York, USA. She has been involved in different research projects and consulting for business firms in the area of Operations Research and Logistics. Helena has published many articles in prestigious international scientific journals, and she has presented her work at international congresses and conferences. Helena teaches at various undergraduate, master's and PhD's programs at UPF and other universities. She is currently the director of the Business Analytics Research Group. Her research interests include Operations Research, Scheduling, Combinatorial Optimization, Metaheuristics, Iterated Local Search, Heuristic Search Optimization, Vehicle Routing, and applications on Supply Chain Management, Logistics, Operations Management and Health Care. Currently, Helena is the Vice-rector (Vice-president) for Internationalization of the UPF.