Special Topics in Information Technology

Erscheinungsjahr 2026
ISBN: 978-3-032-12358-9
Verlag: Springer

Buch, Englisch, 124 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 213 g

Reihe: PoliMI SpringerBriefs

This open access book presents outstanding doctoral dissertations in Information Technology from the Department of Electronics, Information, and Bioengineering, Politecnico di Milano, Italy. Information technology has always been highly interdisciplinary, as many aspects have to be considered in IT systems.
The doctoral studies program in IT at Politecnico di Milano emphasizes this interdisciplinary nature, which is becoming more and more important in recent technological advances, in collaborative projects, and in the education of young researchers.
Accordingly, the focus of advanced research is on pursuing a rigorous approach to specific research topics starting from a broad background in various areas of information technology, especially computer science and engineering, electronics, systems and control, and telecommunications.
Each year, more than 50 Ph.Ds. graduate from the program. This book gathers the outcomes of the best theses defended in 2024–25 and selected for the IT Ph.D. award. Each of the authors provides a chapter summarizing his/her findings, including an introduction, description of methods, main achievements, and future work on the topic. Hence, the book provides a cutting-edge overview of the latest research trends in information technology at Politecnico di Milano, presented in an easy-to-read format that will also appeal to non-specialists.

Zielgruppe

Research

Autoren/Hrsg.

Cappiello, Cinzia

Fachgebiete

• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Technische Informatik
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Medizintechnik, Biomedizintechnik
• Medizin | Veterinärmedizin Medizin | Public Health | Pharmazie | Zahnmedizin Medizin, Gesundheitswesen Medizintechnik, Biomedizintechnik, Medizinische Werkstoffe

Inhaltsverzeichnis

Machine learning in oncogenomics: a key to dissecting cancer inner heterogeneity.- Engaging People with Intellectual Disabilities in IoT Prototyping: Design Guidelines for Accessible Making Toolkits.- Multi-Armed Bandits Algorithms for Pricing and Advertising.- Advances on Multi-Fidelity Learning.- Exploring the future of navigation: high TRL piezoresistive MEMS gyroscopes.- Updates and New Developments of the DAQ Firmware and Hardware for the EuXFEL’s DSSC Camera.- Meta-learning for data-driven control system design: theory and applications.- Sparse soft decision trees and kernel logistic regression: optimization models and algorithms.- Prosumer decision-making in a carbon-neutral society.- Cooperative machine learning methods in distributed systems.- Data-driven techniques for speech and multimodal deepfake detection.- Green, resilient, and secure next-generation optical networks.