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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 PhDs graduate from the program. This book gathers the outcomes of the best theses defended in 2021-22 and selected for the IT PhD 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.
System and Control
Data-Informed Models for the Coupled Dispersal of Microplastics and Related Pollutants Applied to the Mediterranean Sea
Enhancing the Quality of Human-Robot Cooperation Through the Optimization of Human Well-Being and Productivity
Dynamic Sediment Connectivity Modelling for Strategic River Basin Planning
Electronic
Gamma-Ray Spectroscopy and Imaging with SiPMs Readout of Scintillators: Front-End Electronics and Position Sensitivity Algorithms
Ultra-High Performance Digital Electronic Architectures for Events Management in Real Time Environments
Computer Science and Engineering
Temporal Logic and Model Checking for Operator Precedence Languages: Theory and Applications
Deep and Wide Tiny Machine Learning
Learning in the Presence of Multiple Agents
Post-cloud Computing: Addressing Resource Management in the Resource Continuum
Telecommunications
Intelligent Networked Music Performance Experiences
Fast and Robust Estimation of Atmospheric Phase Screens Using C-Band Spaceborne SAR and GNSS Calibration
How Deep Learning Can Help Solving Geophysical Inverse Problems