Beyond Frontiers of Operations Research: Emerging Technologies and Innovative Optimization Paradigms

Proceedings of the 7th AIROYoung Workshop (February 15-17, 2023, University of Milan, Italy) and 8th AIROYoung Workshop (February 14-16, 2024, University of Calabria, Italy)
Erscheinungsjahr 2025
ISBN: 978-3-031-85893-2
Verlag: Springer Nature Switzerland

Buch, Englisch, 123 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 400 g

Reihe: AIRO Springer Series

This book is the result of the presentations given at the 7th AIROYoung Workshop (University of Milan, Italy—February 15 to 17, 2023) and 8th AIROYoung Workshop (University of Calabria, Italy—February 14 to 16, 2024).
The selected contributions represent the state-of-the-art knowledge related to several areas of operations research, optimization and data science.
The target audience of this book is primarily composed of Ph.D. students and early or experienced researchers in optimization and operations  research. Due to its interdisciplinary content, it is of high interest to other closely related research communities. Moreover, it is of interest also for practitioners facing complex decision-making problems in these areas.

Zielgruppe

Research

Autoren/Hrsg.

Barbato, Michele

de Maio, Annarita

Premoli, Marco

Macrina, Giusy

Peirano, Lorenzo

Fachgebiete

• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Optimierung
• Mathematik | Informatik Mathematik Numerik und Wissenschaftliches Rechnen Angewandte Mathematik, Mathematische Modelle
• Mathematik | Informatik EDV | Informatik Informatik Mathematik für Informatiker

Inhaltsverzeichnis

Interactions between Operations Research and Machine Learning.- From Roads to Rails: Bridging the Gap in Signal Recognition Through Computer Vision.- On the hardness of Edge Coloring Problems Associated with Scheduling.- Machine Learning Algorithms for supporting Optimization in Defining Yard Stacking Strategies.- Assessing the academic performance of Italian students using an explainable machine learning approach.- Integrating Human-Centric AI in Fashion Industry Optimization: A Step Towards Industry 5.0.

Über Autor(innen)

Michele Barbato is assistant professor at the Department of Computer Science of the University of Milan. He obtained his Ph.D. in Computer Science at Université Paris 13–Sorbonne Paris Cité (Villetaneuse, France), and he has been a postdoctoral researcher at the University of Lisbon (Portugal) and University of Milan (Italy). His research interests cover polyhedral combinatorics and the design and analysis of algorithms for combinatorial optimization problems with real-world applications. He is a reviewer for international scientific journals and conferences and was part of the organizing committee for the 7th AIROYoung Workshop.

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Giusy Macrina graduated cum laude in Management Engineering at the University of Calabria (UNICAL) in 2013. She obtained her PhD in Mathematics and Computer Science at the same university in 2018. She has several national and international collaborations; she was a visiting PhD student at the Centre interuniversitaire de recherche sur les reseaux d'entreprise (CIRRELT) Montréal in 2015, 2016 and 2017, and a visiting researcher at the ESSEC business school of Paris in 2024. She is currently assistant professor at the Department of Mechanical Energy and Management Engineering (DIMEG) at UNICAL. She was member of the board of AIRO young, the young chapter of the Italian Operations Research Society (AIRO), and it is currently member of the board of AIRO. She has been involved in several national and international projects, and she is currently responsible of research unit and substitute PI of a PRIN project (Relevant Researches of National Interest) founded by the Italian Ministry of Education, University and Research (MIUR). Her main area of scientific activity is Operations Research, focusing on combinatorial optimisation problems, mainly in the field of logistics and distribution. She is the author of more than 30 articles published in international peer-reviewed journals.

Lorenzo Peirano is assistant professor at the University of Brescia. He got his Ph.D. in Analytics for Economics and Business at the University of Bergamo in 2020, his research is focused on the optimization of logistics, maritime and air transportation, network and combinatorial problems and machine learning.

Marco Premoli is a Postdoctoral Researcher at the Department of Computer Science of the University of Milan, where he obtained his PhD in Computer Science in 2018. His research focuses on optimization and simulation for telecommunication networks, manufacturing and healthcare. He is a reviewer for international scientific journals and conferences and was part of the organizing committee for the 7th AIROYoung Workshop.