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 48 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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Reinhold Behringer
Knorr Bremse GmbH
Germany
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Brief Bio
Since April 2019 Reinhold Behringer is working at Knorr Bremse GmbH on the development of autonomous truck systems. He previously (7/2017-3/2019) has been employed by Daimler-Protics in the development of Augmented Reality system for passenger vehicles. He is currently Visiting Professor at Leeds Beckett University, where he was Professor of Creative Technology from 2005 to 2017. His R&D focus in this position was on eLearning, location-based application development and mobile devices. He has two degrees in Physics (1988: MA, SUNY Buffalo, USA. 1990: Diplom in Physics, University Würzburg, Germany) and a PhD
in Engineering (1996: Dr.Ing., UniBwM München, Germany). His main professional expertise is in autonomous road vehicles and real-time computer vision systems. He participated in the first US DARPA Grand Challenge (2004) and earlier in the development of the very first autonomous road vehicle which was driving on public roads in Germany (1995). For this vehicle, he has developed a real-time computer vision system for road/lane detection and following. During his following work at Rockwell Scientific (Thousand Oaks, USA) (1996-2005) he has developed prototype systems for Augmented Reality demonstrators and multi-modal Human-Computer Interaction demonstrations, which did employ real-time computer vision approaches for scene detection and motion/orientation tracking.
In his current role at Knorr-Bremse GmbH he is involved in the development of neural network concepts for utilizing data from a variety of sensors with the goal to enable autonomously driving trucks in SAE level 3 and higher.
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Dan Mønster
Aarhus University
Denmark
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Brief Bio
Dan Mønster is Associate Professor at the Department of Economics and Business Economics at Aarhus University, Denmark. His research applies a complex systems approach to the study of human interactions, mainly studied in the lab. Dr. Mønster is faculty at the Interacting Minds Centre and Director of Cognition and Behavior Lab, Aarhus University.
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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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Anna Kobusinska
Poznan University of Technology
Poland
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Brief Bio
Anna Kobusinska received her M.Sc. and PhD degrees in computer science from Poznan University of Technology, in 1999 and 2006, 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. She focuses on distributed algorithms, Big Data analysis, replication and consistency models, as well as fault-tolerance, specifically checkpointing and rollback recovery techniques.
She has served and is currently serving as a PC 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 to various research projects supported by national organizations and by EC in collaboration with academic institutions and industrial partners.
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Dan Mønster
Aarhus University
Denmark
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Brief Bio
Dan Mønster is Assistant Professor at the Department of Economics and Business Economics at Aarhus University, Denmark. His research applies a complex systems approach to the study of human interactions, mainly studied in the lab. Dr. Mønster is faculty at the Interacting Minds Centre and is Lab Manager for Cognition and Behavior Lab, Aarhus University.