Overview
- Provides a fast point of entry into the most recent research topics on optimization and data science
- Territorial and industrial systems can potentially benefit from the recent applications presented
- Includes contributions on the topic data science for combinatiorial optimization
Part of the book series: AIRO Springer Series (AIROSS, volume 6)
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Table of contents (14 papers)
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Data Science and Machine Learning
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Optimization for Control Systems
Keywords
About this book
Editors and Affiliations
About the editors
Veronica Dal Sasso holds a PhD in Mathematics from the University of Padova. After the completion of the PhD, she held a postdoc at Lancaster University, where she was involved in the OptiFrame project, a project funded by the European Union under the Horizon 2020 agreement. In 2018, she moved to Rome and started working at Optrail as Operations Research Scientist. Optrail is a company devoted to providing innovative decision support solutions for the railway industry. She is the founder and current treasurer of AIROYoung, and she was part of the organizing committees for the 3rd, 4th, and 5th AIROYoungWorkshops.
Valentina Morandi is an Assistant Researcher in the Science and Technology faculty at Free University of Bolzano/Bozen. She obtained her PhD in Analytics for Economics and Business in 2017 at the University of Bergamo jointly with the University of Brescia. Her research activities focus on congestion avoiding traffic assignment techniques and fair models for logistics, public transportation, and pedestrians. She teaches Operations Research in the Mechanical Engineering course, and she won the Euregio Best Young Researcher in 2019 for her research project on models for fair vehicular traffic management.
Bibliographic Information
Book Title: Optimization and Data Science: Trends and Applications
Book Subtitle: 5th AIROYoung Workshop and AIRO PhD School 2021 Joint Event
Editors: Adriano Masone, Veronica Dal Sasso, Valentina Morandi
Series Title: AIRO Springer Series
DOI: https://doi.org/10.1007/978-3-030-86286-2
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2021
Hardcover ISBN: 978-3-030-86285-5Published: 02 December 2021
Softcover ISBN: 978-3-030-86288-6Published: 03 December 2022
eBook ISBN: 978-3-030-86286-2Published: 01 January 2022
Series ISSN: 2523-7047
Series E-ISSN: 2523-7055
Edition Number: 1
Number of Pages: XI, 188
Number of Illustrations: 24 b/w illustrations, 26 illustrations in colour
Topics: Operations Research, Management Science, Discrete Mathematics in Computer Science