Special Topics in Information Technology

Herausgegeben:Amigoni, Francesco

• Broschiertes Buch

Produktbeschreibung

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.D.s. graduate from the program. This book gathers the outcomes of the best theses defended in 2022-23 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.

Produktdetails

• SpringerBriefs in Applied Sciences and Technology
• Verlag: Politecnico di Torino / Springer / Springer Nature Switzerland / Springer, Berlin
• Artikelnr. des Verlages: 978-3-031-51499-9
• 2024
• Seitenzahl: 164
• Erscheinungstermin: 20. März 2024
• Englisch
• Abmessung: 235mm x 155mm x 9mm
• Gewicht: 289g
• ISBN-13: 9783031514999
• ISBN-10: 3031514998
• Artikelnr.: 69530560

Inhaltsangabe

Reducing the Gap between Theory and Applications in Algorithmic Bayesian Persuasion.- Modern High-Level Synthesis: improving productivity with a multi level approach.- FPGA-based design and implementation of a code-based post quantum KEM.- Model-Driven Development of Formally Verified Human-Robot Interactions.- Electronic bio-reconfigurable impedance platform for high sensitivity detection of target analytes.- Development of Crosspoint Memory Arrays for Neuromorphic Computing.- Reconciling deep learning and control theory: recurrent neural networks for indirect data-driven control.- On data-driven optimization methods in the design and control of autonomous systems.- Model predictive control for constrained navigation of autonomous vehicles.- Cooperative Processing and Learning Methods for High-Resolution Environmental Perception.- Synthesis of Filters and Filtering Antennas for Micro and Millimeter Waves Applications.- Innovative Cross-Layer Optimization Techniques for the Design of Optical Networks.