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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Gary B. Wills
University of Southampton
United Kingdom
https://www.ecs.soton.ac.uk/people/gbw
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Brief Bio
Gary Wills is an Associate Professor in Computer Science at the University of Southampton. He graduated from the University of Southampton in Electromechanical Engineering, and then a PhD in Computer Science. He is a Chartered Engineer, a member of the Institute of Engineering Technology and a Principal Fellow of the Higher Educational Academy. Gary's research centres around Secure System Engineering. Gary works cross-discipline with colleagues from industry, and academia. His research can be grouped under a number of themes: Internet of Things, Blockchain, Security, Data Protection, Cloud Computing, Data Analyti
cs, Games/Gamification, and ICT4D.
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Péter Kacsuk (honorary)
MTA SZTAKI
Hungary
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Brief Bio
Professor Peter Kacsuk is the Head of the Research Laboratory of the Parallel and Distributed Systems. He received his MSc and university doctorate degrees from the Technical University of Budapest in 1976 and 1984, respectively. He received the kandidat degree from the Hungarian Academy of Sciences in 1989. He habilitated at the University of Vienna in 1997. He recieved his professor title from the Hungarian President in 1999 and the Doctor of Academy degree (DSc) from the Hungarian Academy of Sciences in 2001. He has been a part-time full professor at the Cavendish School of Computer Science of the University o
f Westminster in London and at the Eötvös Lóránd University of Science in Budapest since 2001. He served as visiting scientist or professor several times at various universities of Austria, England, Germany, Spain, Australia and Japan. He has published two books, two lecture notes and more than 200 scientific papers on parallel computer architectures, parallel software engineering and Grid computing. He is co-editor-in-chief of the Journal of Grid Computing published by Springer.
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Mouzhi Ge
Deggendorf Institute of Technology
Germany
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Brief Bio
Mouzhi Ge is a Professor for Data Analytics at the Deggendorf Institute of Technology in Germany. He was previously an Associate Professor at the Masaryk University in Czech Republic, where he obtained his Habilitation. He received his Ph.D. from Dublin City University in Ireland. His research is mainly focused on Big Data Analytics, Intelligent Healthcare Systems, Internet of Things and Health-aware Recommender Systems.
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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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Mohamed Abdel-Basset
Zagazig University
Egypt
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Brief Bio
Mohamed Abdel-Basset Received his B.Sc., M.Sc and the Ph.D in Information systems and technology from Faculty of Computers and Informatics, Zagazig University, Egypt. His current research interests are Optimization, Operations Research, Data Mining, Computational Intelligence, Applied Statistics, Decision support systems, Robust Optimization, Engineering Optimization, Multi-objective Optimization, Swarm Intelligence, Evolutionary Algorithms, and Artificial Neural Networks. He is working on the application of multi-objective and robust meta-heuristic optimization techniques. He is also an/a Editor/reviewer in different international journals and conferences. He has published more than 120 articles in international journals and conference proceedings. He holds the program chair in many conferences in the fields of decision making, big data, optimization, complexity and the internet of things, as well as editorial collaboration in some journals of high impact.
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Roger A. Hallman
Naval Information Warfare Center (NIWC) Pacific & Thayer School of Engineering at Dartmouth
United States
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Brief Bio
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