Brief Bio
Prof. Victor Chang is a Professor of Business Analytics at Operations and Information Management, Aston Business School, Aston University, UK, since mid-May 2022. He was previously a Full Professor of Data Science and Information Systems at the School of Computing, Engineering and Digital Technologies, Teesside University, UK, since September 2019. He was previously a Senior Associate Professor, Director of Ph.D. and Director of MRes at International Business School Suzhou, Xi’an Jiaotong-Liverpool University, China. He was also a very active contributing key member at the Research Institute of Big Data Analytics
, XJTLU. Before that, he worked as a Senior Lecturer at Leeds Beckett University, UK. Within 4 years, Prof Chang completed Ph.D. (CS, Southampton) and PGCe rt (Higher Education, Fellow, Greenwich) while working for several projects at the same time. Before becoming an academic, he has achieved 97% on average in 27 IT certifications. He won 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, 2017-2022 INSTICC Service Awards, Talent Award Suzhou 2019, Top 2% Scientist 2019-2022, Highly Cited Researcher 2021, Outstanding Reviewer of several Elsevier journals 2018-2019 and Outstanding Editor of FGCS (stepped down). He is the Associate Editor of IEEE TII, JGIM, Expert Systems and IJBSR and an Editor of Information Fusion, Scientific Report and IDD journals. He is the Editor-in-Chief of IJOCI and OJBD journals, and holds important or lead guest editor roles in several prestigious journals. Prof Chang was involved in different projects worth more than £14 million in Europe and Asia. He has published 3 books as sole author and the editor of 2 books on Cloud Computing and related technologies. He gave 34 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.
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Ema Kusen
University of Vienna
Austria
https://nm.wu.ac.at/nm/en:kusen
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Brief Bio
Ema is a post doc researcher at the Faculty of Informatics, University of Vienna since June 2022 and a project staff member at the Institute for Information Systems and New Media, Vienna University of Economics and Business. She received her Bachelor degree in Informatics in 2009, as well as her Master degree in Informatics in 2011 from the University of Rijeka, Croatia. She is the holder of the Rector's award and Academic Excellence scholarship from the University of Rijeka. In 2014, she became a PhD candidate at Vienna University of Economics and Business (WU). Her research focused on the structural analysis of
emotional messages sent over social media during crisis events where she proposed the concept of emotion-exchange motifs. In 2021, she received her PhD degree with honors. From March 2021 until June 2022 she worked as a post doc researcher at the Institute for Information Systems and New Media, Vienna University of Economics and Business. She received several awards for her research achievements and authored several journal publications, some of which are published in top tier journals, including Information Processing & Management, Computers in Human Behavior, and IEEE Internet Computing.
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Anna Kobusinska
Poznan University of Technology
Poland
www.cs.put.poznan.pl/akobusinska
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Brief Bio
Anna Kobusinska received her M.Sc., PhD and DSc degrees in computer science from Poznan University of Technology, in 1999, 2006 and 2019, respectively. She currently works as an Associate Professor at the Laboratory of Computing Systems, Institute of Computing Science, Poznan University of Technology, Poland. Her research interests include large-scale distributed systems, service-oriented and cloud computing as well as edge computing. In her work, she focuses on distributed algorithms, Big Data analysis, reliability of distributed processing, specifically consistency models and replication techniques, challenges
associated with the use of blockchain technology, and the edge intelligence.
She has served and is currently serving as a GC, PC, and TPC member of several international conferences and workshops. She is also author and co-author of many publications in high-quality peer-reviewed international conferences and journals. She participated in various research projects supported by national organizations and by EC in collaboration with academic institutions and industrial partners.
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