Optimization and Data Science: Trends and Applications

Adriano Masone

ISBN 10: 3030862887 / ISBN 13: 9783030862886

Verlag: Springer International Publishing Dez 2022, 2022

Beschreibung

This item is printed on demand - it takes 3-4 days longer - Neuware -This proceedings volume collects contributions from the 5th AIRO Young Workshop and AIRO PhD School 2021 joint event on 'Optimization and Data Science: Trends and Applications', held online, from February 8 to 12, 2021. The joint event was organized by AIROYoung representatives and the Operations Research Group of the Department of Electrical Engineering and Information Technology of the University 'Federico II' of Naples.The selected contributions represent the state-of-the-art knowledge related to different branches of research, such as data science, machine learning and combinatorial optimization. Therefore, this book is primarily addressed to researchers and PhD students of the operations research community. However, due to its interdisciplinary content, it will be of high interest for other closely related research communities.Moreover, this volume not only presents theoretical results but also covers real applications in computer science, engineering, economics, healthcare, and logistics, making it interesting for practitioners facing complex decision-making problems in these areas. 200 pp. Englisch. Bestandsnummer des Verkäufers 9783030862886

Bibliografische Details

Titel: Optimization and Data Science: Trends and ...

Verlag: Springer International Publishing Dez 2022

Erscheinungsdatum: 2022

Einband: Taschenbuch

Zustand: Neu

Über diesen Titel

Inhaltsangabe:

This proceedings volume collects contributions from the 5th AIRO Young Workshop and AIRO PhD School 2021 joint event on “Optimization and Data Science: Trends and Applications”, held online, from February 8 to 12, 2021. The joint event was organized by AIROYoung representatives and the Operations Research Group of the Department of Electrical Engineering and Information Technology of the University “Federico II” of Naples.

The selected contributions represent the state-of-the-art knowledge related to different branches of research, such as data science, machine learning and combinatorial optimization. Therefore, this book is primarily addressed to researchers and PhD students of the operations research community. However, due to its interdisciplinary content, it will be of high interest for other closely related research communities. Moreover, this volume not only presents theoretical results but also covers real applications in computer science, engineering, economics, healthcare, and logistics, making it interesting for practitioners facing complex decision-making problems in these areas.

Über die Autorin bzw. den Autor:

Adriano Masone is a Postdoctoral Researcher at the Department of Electrical Engineering and Information Technology of the University of Naples “Federico II.” He obtained his PhD in Information Technology and Electrical Engineering in 2020 at the University of Naples “Federico II.” In 2018–2019, he was a Visiting Scholar at the Robert H. Smith School of Business of the University of Maryland, Maryland, USA. His areas of research include exact and heuristic solutionmethods for complex combinatorial and network optimization problems with application to healthcare, transportation, logistics, production planning and scheduling, among others.

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.