Mathematics

Data Science, Classification, and Artificial Intelligence for Modeling Decision Making

Javier Trejos is a Full Professor and Researcher at the School of Mathematics and the Center for Research in Pure and Applied Mathematics (CIMPA), University of Costa Rica. His research focuses on the relations between data analysis and combinatorial optimization. He was the chief editor of the Journal of Mathematics: Theory and Applications and is the former president of the Central American and Caribbean Society for Classification and Data Analysis (SoCCCAD). In 1996 he was awarded the Simon Régnier Prize of the Francophone Classification Society. Theodore Chadjipandelis is Professor of Applied Statistics and the Director of the Laboratory of Applied Political Research, Aristotle University, Thessaloniki, Greece. His research interests are in the field of applied statistics and mainly focus on issues of experiment design, statistical research training, public opinion, political and electoral behavior, electoral geography, election systems as well as urban and regional programming and development. He coordinated the Greek section of the program C.C.S. (Comparative Candidates Survey) – a co-operation between 30 research teams – and of C.S.E.S. (Comparative Study of Electoral Systems). Currently he coordinates the Greek section of the program MeDem (Measuring Electoral Democracy) - a co-operation between 30 research teams - and of the Horizon project AI4GOV (Artificial Intelligence for Governance). Aurea Grané is Full Professor of Statistics and Operations Research at Universidad Carlos III de Madrid, Spain. Her work involves several lines of research whose common link is the development of non-parametric techniques based on distances with application to data of a certain complexity. She has important contributions in the development of goodness-of-fit statistics for uniformity, exponentiality and normality tests, in statistical methods based on distances for data visualization, in predictive methods for functional data and in the development of tools for outlier detection in long financial series and mixed data sets. Mario Villalobos is a Professor and Researcher at the University of Costa Rica, School of Mathematics, and the Center for Research in Pure and Applied Mathematics (CIMPA), of which he was its director until 2020, and a lecturer at the Costa Rica Institute of Technology. His research deals mainly with multi-objective optimization and its relationships with statistical and data analysis methods, the study of functions, teaching innovations in mathematics, and currently curve-fitting to see trends in epidemics. He was the recipient of the Chikio Hayashi Award from the International Federation of Classification Societies in 2006.

1. Dany Cajas

Advanced Portfolio Optimization

Dany Cajas is the creator and sole maintainer of the Riskfolio-Lib portfolio optimization Python library, one of the most popular finance libraries worldwide with more than 3,100 stars on Github and more than 600k downloads. He has experience in financial planning, management control, quantitative financial risk management, pricing of financial derivative instruments and portfolio construction. He has teaching experience in Python programming for quantitative finance courses for students in North America, South America, Asia, and Europe through his company Orenji EIRL.

Optimization in Green Sustainability and Ecological Transition

Maurizio Bruglieri is Associate Professor of Operations Research at Politecnico di Milano where he teaches Operations Research for different degrees courses since 2005. His main research interests focus on combinatorial optimization and mathematical modeling of optimization problems in the transportation field and in the development of metaheuristic solution methods. He is Author of more than 70 scientific papers including about 40 articles published in international peer-reviewed journals. His publications mainly concern (but are not limited to) the electric car-sharing management (e.g., vehicle relocation problem), the electric/green vehicle routing problem, the hazmat network design, and graph partitioning problems.  Paola Festa obtained her Ph.D. degree in Operations Research in 2000. She is currently Full Professor in Operations Research at the University of Napoli FEDERICO II, where since 2002 she has been teaching Programming (undergraduate degree), Operations Research (undergraduate degree), and Combinatorial Optimization (master’s degree). She is in the scientific committee of the Ph.D. Program in Mathematics and Computer Science (University of Napoli FEDERICO II). She has been in the scientific committee of the Ph.D. Program in Computational Biology and Bioinformatics (University of Napoli FEDERICO II) and in the scientific committee of the Ph.D. Program in Operations Research (University of Calabria). Since 1999, she has been frequently Research Scholar at several national and international research institutions, including CNRs, MIT Lab for Information and Decision Systems (USA), AT&T; Labs Research (USA), and Department of Industrial and Systems Engineering of the University of Florida (USA). She is Author/Co-author of more than 100 publications appeared in international journals, books, and peer-reviewed conference proceedings.  Giusy Macrina graduated cum laude in Management Engineering in 2013 at theUniversity of Calabria (UNICAL). She was Visiting Student at the Centre interuniversitaire de recherche sur les reseaux d'entreprise (CIRRELT) Montréal, and then, she obtained her Ph.D. degree in Mathematics and Computer Science in 2018 at UNICAL. She is currently Assistant Professor in the Department of Mechanical Energy and Management Engineering at UNICAL. She is Member of the board of AIRO young, the young chapter of the Italian Operations Research Society (AIRO). Her main area of scientific activity is Operations Research, and she focuses on logistics and distribution problems. She is Author of more than 20 articles published in international peer-reviewed journals.  Ornella Pisacane graduated with honors in computer engineering from the Università della Calabria (UNICAL), Italy, in 2004. She received her Ph.D. in Operations Research from UNICAL in 2008 where she was Research Fellow for 5 years. She was Ph.D. Visiting Student in the Département d'Informatique et de Recherche Opérationnelle at the Université de Montréal (Canada), and later, she was Visiting Research Fellow at the Interuniversity Research Centre on Enterprise Networks, Logistics and Transportation (Montréal, Canada). She was Research Fellow in the Dipartimento di Ingegneria dell'Informazione (DII) at the Università Politecnica delle Marche (UNIVPM). She is currently Assistant Professor at DII (UNIVPM) in Operations Research. She received the National Scientific Qualification as Associate Professor and as Full Professor in Operations Research. She is also Member of the Doctoral School Committee in Information Engineering of DII (UNIVPM). Her main research interests concern combinatorial optimization as primarily applied to production planning and scheduling, transportation, and mobility. She is Author of more than 40 papers. She was Speaker in many international conferences, and she serves as Referee for many international journals in the field of Operations Research. 

1. Benoît Gaüzère

Graph-Based Representations in Pattern Recognition

This book constitutes the refereed proceedings of the 14th IAPR-TC-15 International Workshop on Graph-Based Representations in Pattern Recognition, GbRPR 2025, held in Caen, France, in June 2025. The 25 full papers presented here were carefully reviewed and selected from 33 submissions.

1. Nan Chen

Stochastic Methods for Modeling and Predicting Complex Dynamical Systems

This Second Edition is an essential guide to understanding, modeling, and predicting complex dynamical systems using new methods with stochastic tools. The author presents mathematical tools for understanding, modeling, and predicting complex dynamical systems using various suitable stochastic tools.

Global Business Transformation

Many contemporary business models are based on the idea of a circular economy or sustainability. This book brings the discussion of global business transformation to the forefront and highlights the use of modern technology in aiding businesses to become more sustainable.