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• Numerical Analysis
• Partial Differential Equations
• Fluid Mechanics
• +8 more

Anna Martinez-Gavara is an Associate Professor in the Department of Statistics and Operations Research at the Faculty of Mathematics, Universitat de València. She is a member of the OPTIMATH research group, focusing on Optimization and Mathematical Modelling. Her research spans two major domains: applied numerical analysis for partial differential equations—particularly in developing high-resolution, well-balanced, and adaptive schemes for hyperbolic conservation laws and shallow water flows—and combinatorial optimization , where she applies metaheuristic methods such as tabu search, GRASP, and scatter search to problems like graph drawing, clustering, and diversity maximization. Her work integrates theoretical stability analysis with practical algorithmic design. The 15 most recent publications reflect a dual trajectory: early works (2008–2012) emphasize numerical methods for fluid dynamics and conservation laws, while more recent papers (2015–2023) pivot toward discrete optimization and metaheuristics. This evolution highlights her interdisciplinary approach, bridging numerical PDEs and operational research. Her collaborations include prominent researchers such as Rafael Martí, Rosa Donat, and Manuel Laguna, resulting in publications in high-impact journals including Journal of Computational Physics , Applied Numerical Mathematics , and European Journal of Operational Research . While no scientific awards are mentioned in the provided texts, her sustained publication record and active research up to 2023 indicate a strong and ongoing academic contribution. She has advised no publicly listed students in the data, and there is no mention of external grants or leadership of a lab or research team.

• Algorithms
• Theoretical Computer Science
• Graph Layout Problems
• +8 more

Jordi Petit Silvestre is a professor in the Department of Computer Sciences at the Barcelona School of Informatics (FIB), Universitat Politècnica de Catalunya (UPC). He is a member of the ALBCOM research group, focusing on algorithms, bioinformatics, complexity, and formal methods. His work bridges theoretical computer science with practical applications in algorithm engineering, VLSI design, and computer science education. His research interests include algorithms , graph layout problems , parallel computing , data structures , and computer science education . He has made significant contributions to the design and analysis of efficient algorithms, particularly in graph layout optimization and cache-conscious data structures. His work extends to electronic design automation, with publications on macro placement, routing, and physical design for integrated circuits. The recent publications highlight a dual focus: (1) algorithmic and physical design for VLSI, involving macro placement, routing, and system-level optimization; and (2) innovations in computer science education, particularly through the Jutge.org platform, continuous assessment, MOOCs, and feedback mechanisms in online judges. This reflects a career deeply engaged in both theoretical research and educational technology. Jordi Petit has participated in numerous competitive and non-competitive R&D+i projects, often in collaboration with other leading researchers at UPC. He has contributed to educational innovation projects aimed at transforming programming education and curriculum design in computer science degrees. He is actively involved in the development and deployment of Jutge.org , an educational programming judge that supports automated assessment and learning in programming courses. His work in this area includes improving feedback, integrating formal verification, and analyzing course evolution through metrics like pass rates and workload.

Alfredo N. Marin PerezView profile

Professor

• Operations Research
• Location Problems
• Optimization
• +2 more

Alfredo N. Marin Perez is a Professor at the Department of Statistics and Operations Research, Faculty of Mathematics, University of Murcia. His research focuses on operations research, discrete location problems, hub network design, and optimization theory. He has extensively published on p-median problems, hub location models, and equity-based facility allocation. Research Areas: Facility Location, Game Theory, Mathematical Optimization Key Collaborations: Mercedes Landete, Antonio M. Rodriguez-Chia, Justo Puerto Albandoz Methodologies: Lagrangian Relaxation, Branch-and-Cut Algorithms, Polyhedral Analysis Selected Publications: His work includes foundational contributions to the tree of hubs problem, capacitated p-center models with failure foresight, and rank pricing optimization. Recent articles explore equity in location problems and multi-period stochastic covering models.

• Artificial Intelligence
• Machine Learning
• Intelligent Transportation Systems
• +7 more

Enrique Onieva Caracuel is a full Professor at the University of Deusto's School of Engineering , Department of Computing, Electronics and Communication Technologies . He leads the PhD program in Engineering for the Information Society and Sustainable Development, and serves as Researcher in Intelligent Transportation Systems at DeustoTech-Mobility. His work spans 30+ research projects including EU-funded H2020 initiatives TIMON and LOGISTAR . Research Interests : Artificial Intelligence applications in transportation Machine Learning & Deep Learning Fuzzy Logic & Evolutionary Optimization Smart City solutions RFID & IoT systems Scientific Impact : 100+ publications (50+ top-tier journals), H-index 23 (Scopus), with recognition at international conferences. Advising : Supervised 6 theses including work on vehicle routing optimization, PTML models for nanotechnology, and industrial anomaly detection. Current Projects : Developing smart mobility systems, real-time passenger profiling, and ethical AI frameworks, funded by European Commission, Basque Government, and Diputación Foral de Gipuzkoa.