Special Topics in Information Technology

Front Cover
Luigi Piroddi
Springer Nature, Jan 1, 2022 - Technology & Engineering - 152 pages
This open access book presents thirteen 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 thirteen best theses defended in 2020-21 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.

 

Contents

Deep Learning in Multistep Forecasting of Chaotic Dynamics
3
Optimal Management and Control of Smart ThermalEnergy Grids
15
Electronics
28
Application Specific Integrated Circuits for High Resolution X and Gamma Ray Semiconductor Detectors
29
Modeling of GIDLAssisted Erase in 3D NAND Flash Memory Arrays and Its Employment in NOR FlashBased Spiking Neural Networks
43
LowNoise MixedSignal Electronics for ClosedLoop Control of Complex Photonic Circuits
55
Computer Science and Engineering
65
Beyond the Traditional Analyses and Resource Management in RealTime Systems
66
From Data Management to Machine Learning
79
A Sound Approach to Building Integrated Repositories of Genomic Data
89
An Overview
100
Machine Learning for Scientific Data Analysis
115
Telecommunications
127
SensorAssisted Cooperative Localization and Communication in Multiagent Networks
128
Design and Control Recipes for Complex Photonic Integrated Circuits
141
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