Collection

Decision Support Systems and Intelligent Algorithms for Industrial IoT and Big Data

Submission status
Closed
Decision Support techniques are providing a promising solution to the industry for building Industrial Internet of Things (IIoT) and Big Data systems to make innovation at a rapid pace. IIoT is creating many research challenging issues for the industry and academia, towards novel potential impacts on the monitoring, control and understanding of world, weather, social life, security, health, emergencies and so on. It can blend with the latest methods, algorithms and technologies involved with artificial intelligence (AI) and Big Data. The solutions to these challenges are expected soon to provide an effective and scalable support for the computation, data storage, analysis and use of the data that will be created by the explosive adoption of the IIoT, Big Data and machine-to-machine communication in many contexts. This collection aims to offer a systematic and most up-to-date overview, latest research trends, advanced research and mixed method approaches of this new research field.

Editors

  • Victor Chang Victor Chang , 

    Victor Chang

    Victor Chang is a Full Professor of Data Science and Information Systems at SCEDT, Teesside University, Middlesbrough, UK since September 2019. He has 22 years of experience in IT and academia. Within 4 years, he completed his PhD (CS, Southampton) and PGCert (Higher Education, Fellow, Greenwich) while working full-time. He achieved 97% on average in 27 IT certifications. He won many awards and best papers including Outstanding Young Scientist 2017. He is an editor of several top journals. He founded 4international conferences and gave 24 international keynotes. He is regarded as a world-leading young scientist in data science/IoT/AI/security

  • Víctor Méndez Muñoz Víctor Méndez Muñoz  &

    Víctor Méndez Muñoz

    Victor has a background in several fields of Big Data, Cloud Computing, and IoT, both in academia and in the industry. Currently, he is contributing to the IoT ecosystem for microbiological control at IUL, which is an innovative company in biotechnology. They are building new models and architectures taking full advantage of the state-of-the-art opportunities in IoT microcomputers, microservices, and Edge Computing, to ensure genuine progress. Furthermore, Victor is bridging the gap between theory and practice, as a collaborating editor in scientific journals and conferences, training postgraduates at UOC, and partaking in innovation programs

  • Reinhold Behringer Reinhold Behringer

    Reinhold Behringer

    Reinhold Behringer has more than 30 years of R&D experience in academia and industry with the development of novel multi-modal Human-Computer Interaction technology. He is now working as Systems Engineer at Knorr-Bremse GmbH in the development of autonomously driving trucks and Advanced Driver Assistance Systems (ADAS, SAE L2+) systems. As Professor of Creative Technology at Leeds Beckett University (2005-2017) where he is now a Visiting Professor, he focused on R&D projects in IoT and Information Management. At Rockwell Scientific he developed Augmented Reality concept demonstrators. He holds 2 degrees in physics and a PhD in Engineering

Articles (4 in this collection)