Smart and Secure Embedded and Mobile Systems: Selected Papers from the First International Conference on Embedded and Mobile Systems (Icta-Emos), 24-2

This book gathers a selection of research papers that delve into the field of smart systems, covering a wide range of applications in transportation, agriculture, healthcare, energy management, and more. Emphasizing the fusion of intelligence and security, they reveal how advanced embedded and mobile systems are paving the way for a smarter and safer future. The book presents peer-reviewed research articles from the First International Conference on Embedded and Mobile Systems (ICTA-EMOS), which was held on November 24^th - 25^th, 2022, in Arusha, Tanzania.

The book showcases the remarkable potential of advanced technologies in shaping a smarter and more secure world, addressing topics such as transportation and mobility solutions, smart manufacturing and agriculture, ICT infrastructure and resource management, healthcare and energy management, system integration and control, and solutions for innovation and monitoring.

Prof. Jorge Marx Gómez is a full Professor and Chair of Business Information Systems at Carl von Ossietzky University, Oldenburg, Germany. His research interests include very large business applications, business information systems, federated ERP systems, business intelligence, data warehousing, interoperability and environmental management information systems.

Prof. Anael Sam is an Associate Professor of Information Technology and Chair of the Smart Electronics Systems Development (SeSDev) research group at the Nelson Mandela African Institution of Science and Technology, Tanzania. His research interests include cyber security, electronics engineering, mobile and wireless communication systems, and software quality assurance engineering.

Dr. Devotha Godfrey Nyambo is a Lecturer and Head of Artificial Intelligence and Complexity Sciences at the Nelson Mandela African Institution of Science and Technology, Tanzania. Her research interests include applied machine learning, multi-agent systems, modeling and simulations, and agricultural informatics.