Prof. Victor Chang is a Professor of Business Analytics based at Operations and Information Management, Aston Business School, Aston University UK, since mid-May 2022. He was previously a Professor of Data Science and Information Systems at the School of Computing, Engineering and Digital Technologies, Teesside University, UK, between September 2019 and mid-May 2022. He has deep knowledge and extensive experience in AI-oriented Data Science and has made significant contributions in multiple disciplines. He has been well-established in research, funding and scholarly achievements. Prof Chang is one of the most highly cited researchers apart from being an international leading active scientist with a premier 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. Within 4 years, Prof Chang completed Ph.D. (CS, Southampton) and PGCert (Higher Education, Fellow, Greenwich) while working on several projects at the same time. Before becoming an academic, he achieved 97% on average in 27 IT certifications. He won a 2001 full Scholarship, a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012, 2015 and 2018, the 2016 European award: Best Project in Research, 2016-2018 SEID Excellent Scholar, Suzhou, China, Outstanding Young Scientist award in 2017, 2017 special award on Data Science, 2017-2021 INSTICC Service Awards, Talent Award Suzhou 2019, Top 2% Scientist 2017/2018, 2019/2020 & 2020/2021, the most productive AI-based Data Analytics Scientist between 2010 and 2019, Highly Cited Researcher 2021 and numerous awards mainly since 2011. Prof Chang was involved in different projects worth more than £14 million in Europe and Asia. He has published 3 books as the sole author and the editor of 2 books on Cloud Computing and related technologies. He published 1 book on web development, 1 book on mobile apps and 1 book on Neo4j. He gave 30 keynotes at international conferences. He is widely regarded as one of the most active and influential young scientists and experts in IoT/Data Science/Cloud/security/AI/IS, as he has the experience to develop 10 different services for multiple disciplines. He is the founding conference chair for IoTBDS, COMPLEXIS and FEMIB to build up and foster active research communities globally with positive impacts.

Dr Jixin Ma is a Full Professor of Computer Science (Artificial Intelligence) and the Director of PhD/Postgraduate Research Programme in the School of Computing and Mathematical Sciences at University of Greenwich, U.K. He has been the Director of the Centre for Computer and Computational Science and the Lead of Artificial Intelligence Research Group. Professor Ma is also a Visiting Professor of Beijing Normal University, Hainan University, Anhui University, Zhengzhou Light Industrial University and Macau City University. Professor Ma obtained his BSc and MSc of Mathematics in 1982 and 1988, respectively, and PhD of Computer Sciences in 1994. His main research areas include Artificial Intelligence, Data Science, and Information Systems, with special interests in Temporal Logic, Information Security, Machine Learning, Case-Based Reasoning and Pattern Recognition. Professor Ma has been a member British Computer Society, American Association of Artificial Intelligence, ACIS/IEEE, World Scientific and Engineering Society, and Special Group of Artificial Intelligence of BCS. He has also been the Editor of several international journals and international conference proceedings, Conference/Program Chair, and Invited Keynote Speakers of many international conferences. Professor Ma has published more than 200 research papers in peer-reviewed international journals and conferences.

Francesco Mercaldo received his master degree in computer engineering from the University of Sannio (Benevento, Italy), with a thesis in software testing. He obtained his Ph.D. in 2015 with a dissertation on malware analysis using machine learning techniques. The research areas of Francesco are related to data mining, deep learning, image processing and information security. Currently, he is working as Researcher at the University of Molise, Campobasso, Italy.