Prof. Victor Chang is a Full Professor of Data Science and Information Systems at the School of Computing, Engineering and Digital Technologies, Teesside University, UK. He joined the School in September 2019.
He was previously a Senior Associate Professor, Director of Ph.D. (June 2016 – May 2018), Director of MRes (Sep 2017 - Feb 2019) and Interim Director of BSc IMIS (Aug 2018 - Feb 2019) programs at International Business School Suzhou (IBSS), Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China between June 2016 and August 2019. He was also a very active and contributing key member at Research Institute of Big Data Analytics (RIBDA), XJTLU. He's a former Honorary Associate Professor at the University of Liverpool and Visiting Researcher at the University of Southampton, UK. Previously he worked as a Senior Lecturer at Leeds Beckett University, UK, between Sep 2012 and May 2016. He was a Lecturer of IS and IT Architect at the University of Greenwich between Feb 2011 and August 2012. Prior to that, Prof Chang was the IT Service Manager at Guy's & St Thomas NHS Hospitals and KCL between July 2008 and Feb 2011. Before joining NHS, he was the IT Specialist and Researcher at the University of Southampton between August 2004 and July 2008. He worked at the University of Cambridge between October 2001 and July 2004, first as a Research Scholar at Engineering, and then as a Web Development Officer at Cavendish Lab. Before coming to the UK, he was a Web Project Leader at National Computer Systems in Singapore and Assistant Manager of UNI Computer in Sydney, Australia.
Prof Chang is one of the most highly cited researchers apart from being an international leading young scientist with reputation and track records. He worked on every project with details known. He is a highly efficient, effective, organized, responsible and self-disciplined scholar to make things happen.
The recent development in Industry 4.0 for smart manufacturing, data analytics, AI and security
There are important elements to make Industry 4.0 successful, including the choice of advanced technologies and their interplay for different types of smart manufacturing. This keynote is focused on the overview, discussion and detailed technologies on the recent development in Industry 4.0 for smart manufacturing, data analytics, AI and security. There are three parts to this talk. First, it will be on the overview and general understanding of the Industrial Internet of Things (IIoT) for the Supply Chain. Second, it will elaborate on the choice and use of different advanced technologies and examples. Third, future trends will be discussed. This keynote will describe how key aspects for each part, and explain their relation, and suitable examples and recommendations for each section, and the entire topic collectively. The interplay between smart manufacturing, data analytics, AI and security will be crucial for Industry 4.0 development.