**About the Editors**

**Kyandoghere Kyamakya** is currently a Full Professor of Transportation Informatics and the Deputy Director of the Institute for Smart Systems Technologies at Universitaet Klagenfurt in Austria. He is actively conducting research involving modeling, simulation, and test-bed evaluations for a series of concepts amongs<sup>t</sup> others in the context of intelligent transportation systems. In the research addressing transportation systems, a series of fundamental and theoretical tools from the fields of applied mathematics, electronics, and computer science is either extensively exploited or a source of inspiration for innovative solutions and concepts, including nonlinear dynamics, systems science, machine learning/deep learning, nonlinear image processing, and neurocomputing. He has co-edited more than 6 books, has published more than 100 journal papers, and hundreds of conference papers.

**Fadi Al-Machot** finished his PhD in Computer Science at Alpen-Adria University Klagenfurt in November 2013 and his habilitation in Applied Computer Science at the University of Lubeck in 2020. ¨ As a researcher, he developed different algorithms and approaches in the areas of complex event detection in multimodal sensor networks, advanced driver assistance systems, human cognitive reasoning, and human activity and emotion recognition. His work is patented and published in different international conferences and journals. He is currently a senior data scientist at Leibniz Lung Center—Research Center Borstel.

**Ahmad Haj Mosa** A researcher and AI developer in the team of Digital Services at PwC Austria. He is also a researcher and a lecturer at the Institute for Smart System Technology (IST) at the University of Klagenfurt, Austria. His research area focus lies on Augmented Intelligence and Explainable Deep Learning, and Self-Driving Cars. And his research interests include machine vision, machine learning, applied mathematics, and neurocomputing. He has developed a variety of methods in the scope of human-machine interaction and pattern recognition.

**Antoine Bagula** completed his PhD in Communication Systems at the Royal Institute of Technology (KTH), Stockholm, Sweden, and 2 MSc degrees (Computer Engineering—Universite´ Catholique de Louvain (UCL), Belgium and Computer Science—University of Stellenbosch (SUN), South Africa). He is currently a Full Professor and Head of the Department of Computer Science at the University of the Western Cape (UWC), where he also leads the Intelligent Systems and Advanced Telecommunication (ISAT) laboratory. He is a well-published scientist in his research field. His current research interests include Data Engineering including Big Data Technologies, Cloud/Fog Computing and Network Softwarization (e.g. NFV and SDN); The Internet of Things (IoT) including the Internet-of-Things in Motion and the Tactile Internet, Data Science including Artificial Intelligence, Machine Learning with their applications in Big Data Analytics; and Next Generation Networks including 4G/5G.
