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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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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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Levente Buttyán
Budapest University of Technology and Economics
Hungary
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Brief Bio
Levente Buttyán received the M.Sc. degree in Computer Science from the Budapest University of Technology and Economics (BME) in 1995 and the Ph.D. degree from the Swiss Federal Institute of Technology - Lausanne (EPFL) in 2002. In 2003, he joined the Department of Networked Systems and Services at BME, where he currently holds a position as an Associate Professor and leads the Laboratory of Cryptography and Systems Security (CrySyS Lab). He received habilitation at BME in 2013 and the title of Doctor of the Hungarian Academy of Sciences in 2021. He has done research on the design and analysis of secure protocols
and privacy enhancing mechanisms for wireless networked embedded systems. A few years ago, he was involved in the analysis of some high profile targeted malware, such as Duqu, Flame, MiniDuke, and TeamSpy. Currently, his research interest is in security of cyber-physical systems (including industrial automation and control systems, modern vehicles, cooperative intelligent transport systems, and the Internet of Things in general).
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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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Bernhard Heiden
Carinthia University of Applied Sciences
Austria
www.cuas.at
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Brief Bio
Bernhard Heiden is a professor of production Technology in the Industrial Engineering degree program at the Carinthia University of Applied Sciences. He previously worked in the industry for 6 years. He completed his process engineering studies at TU Graz, writing his diploma thesis at ETH Zurich. He holds a doctorate in mechanical engineering from the Graz University of Technology. From the Karl-Franzens University of Graz, he holds a degree in Philosophy and an MBA in Financial Management and Controlling. His current research and consulting focus is on production technology and Industry 4.0. He is co-founder an
d part of an Austria-wide cooperation Network for 3D printing and chairman of the 3D printing group at FH-Kärnten, and part of the iMaterial research group initiated in 2018, which focuses, among other things, on research into smart materials and their manufacturing processes. He is the initiator and co-founder of Smartlab Carinthia at the University of Applied Sciences Carinthia, the first Fab Lab in Carinthia.
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