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Miguel Escobedo Martínez is a Professor of Mathematical Analysis in the Department of Mathematics at the Faculty of Science and Technology, University of the Basque Country. He also serves as an External Scientific Member at the Basque Center of Applied Mathematics (BCAM). Research Interests Professor Escobedo specializes in Nonlinear Partial Differential Equations , with particular focus on Kinetic Equations and Aggregation and Fragmentation Models . His research explores the mathematical foundations of physical phenomena, particularly in quantum systems and particle dynamics. His work often involves rigorous analysis of existence, uniqueness, and asymptotic behavior of solutions to complex nonlinear systems. Research Trends Professor Escobedo's publications demonstrate a consistent focus on nonlinear PDEs with applications to physical systems, particularly quantum kinetic equations and coagulation-fragmentation models. His work spans from fundamental mathematical analysis to applications in quantum physics and statistical mechanics. A significant portion of his research centers on the mathematical theory of Bose-Einstein condensation and related quantum phenomena, as well as the analysis of coagulation equations that model particle aggregation processes. Projects and Affiliations Principal Investigator for research project "Partial Differential Equations: Analysis, Control, Numerics and Applications" (MTM2008-03541) External Scientific Member at Basque Center of Applied Mathematics (BCAM) Conference Participation Professor Escobedo has presented his work at various international conferences, including SIAM conferences on Nonlinear Waves and Material Sciences, where he has discussed topics such as singular solutions for the Uehling-Uhlenbeck equation and self-similar solutions for coagulation and fragmentation equations.

• Nonlinear Partial Differential Equations
• Kinetic Equations
• Aggregation and Fragmentation Models

Alberto Blanco Justicia is an Assistant Professor at Universitat Rovira i Virgili's Department of Computer Engineering and Mathematics. His research focuses on privacy-enhancing technologies with applications in data security, anonymization mechanisms, and machine learning model protection. Specific interests include federated learning security, differential privacy analysis, and adversarial attack mitigation. Obtained MSc in Computer Security (2013) and PhD in Computer Engineering and Mathematics of Security (2017) from URV. Recent work explores trustworthy AI systems through privacy-preserving computation frameworks and decentralized learning protocols. Contributes to EU projects on mobility data sharing and synthetic data generation.

• Data Privacy
• Data Security
• Machine Learning
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Mikel Tapia is a full-time Professor of Financial Economics at Universidad Carlos III de Madrid (UC3M). He holds a PhD in Economics (1996) and a Bachelor's degree (1990) from the University of the Basque Country. Research focuses on market microstructure, liquidity, algorithmic trading, and high-frequency trading Published extensively in journals like Journal of Banking and Finance, Quantitative Finance, and International Review of Economics & Finance Key research themes include market design, systematic liquidity risk, and trading activity impacts on market quality His articles analyze topics spanning from voluntary pre-trade anonymity mechanisms to high-frequency trading impacts on market quality, with methodological approaches covering empirical analyses of Spanish and NYSE markets, computational intelligence models, and theoretical frameworks connecting globalization and reputational economics.

• Market Microstructure
• Liquidity
• Algorithmic Trading
• +1 more