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This open access book presents nine 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 Controls, and Telecommunications.
Each year, more than 50 PhDs graduate from the program. This book gathers the outcomes of the nine best theses defended in 2018-19 and selected for the IT PhD Award. Each of the nine 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.
Inhaltsverzeichnis
Advances in Wave Digital Modeling of Linear and Nonlinear Systems: a Summary.- Enhancing Indoor Coverage by Multi-Pairs Copper Cables: The Analog MIMO Radio-over-Copper Architecture.- Chirp Generators for Millimeter-Wave FMCW Radars.- Modeling and simulation of spiking neural networks with resistive switching synapses.- Learning and Adaptation to Detect Changes and Anomalies in High-Dimensional Data.- Enhancing Video Recommendation using Multimedia Content.- Dynamic Application Autotuning for Self-Aware Approximate Computing.- CAOS: CAD as an Adaptive Open-platform Service for High Performance Reconfigurable Systems.- A General Framework for Shared Control in Robot Teleoperation with Force and Visual Feedback.
