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About the Book
In the world of web development, applications are the heart and soul of the digital landscape.
This book introduces full-stack web development of professional real‐world web applications using state‐of‐the‐art technologies.
- It offers an introduction to full-stack web development, focusing on creating professional real-world web applications using the latest technologies.
- The intended audience for this book includes individuals with a foundational understanding of at least one programming language and a desire to learn full-stack web application development.
- The ideal reader could be a professional developer keen on using the latest technologies or a student pursuing a Computer Science degree. Such readers will find the book's detailed explanations and practical examples particularly beneficial.
About the Authors
Emanuele Panizzi is an Associate Professor in Computer Science at Sapienza University of Rome, Italy. He leads a research team focusing on human-computer interaction, app design, gamification, and context-aware mobile interaction. In the two areas of smart parking and earthquake detection, his current study uses AI to recognize users' behavior and context. Designing mobile user interfaces with implicit interaction and crowdsensing applications is the experimental component of this study.
Panizzi supervised several large software projects for Sapienza University and companies and startups.
He teaches HCI and software architecture. He has served as a consultant for major national and international corporations.
Enrico is a postdoctoral researcher in the Cybersecurity group at Delft University of Technology, supervised by Mauro Conti. He is a member of the SPRITZ research group of University of Padua, Italy. Previously, he was a researcher in the Department of Computer Science at Sapienza University of Rome. He also received his Ph.D. there in 2023. His research is focused on network and protocol security, Internet-of-Things, and cyber ranges.
In 2019, Bassetti earned his Master’s degree in Cybersecurity from Sapienza University with a grade of 100 cum laude. He has published several papers in international conferences and journals on security, applications of Machine Learning to sensor data in Internet-of-Things and mobile contexts, and a design for resilient privacy-first distributed sensor networks.
In addition to his research experience, Bassetti has gained experience as a teaching assistant and supervising undergraduate research projects and traineeship/thesis. Outside academia, he worked for a decade as a system architect consultant, DevOps advocate, and system/network administrator, and he conducted training sessions on security and Linux containers.