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Event Chairs

Conference Chair


Victor Chang
Aston University
United Kingdom
https://scholar.google.com/citations?hl=en&user=IqIYZ14AAAAJ&view_op=list_works&sortby=pubdate


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. ... More >>

 

Program Co-Chairs


Víctor Méndez Muñoz
IUL, S.A. & Universitat Autònoma de Barcelona, UAB
Spain


Brief Bio
Dr. Víctor Méndez Muñoz has a main background in big data management and distributed systems. He participated in scientific international projects in physics and bioinformatics like AGATA, LHCb, ENRM and EISCAT, collaborating with several more. Currently, he is Head of Software Development at Mind the Byte, a bioinformatics company specializing in computational drug discovery using a pay-per-use SaaS platform (Software as a Service). He also works in the Universitat Autònoma de Barcelona (UAB) as a part time professor. He holds the program chair in INSTICC conferences in the fields of cloud computing, big data, c omplexity and the internet of things, as well as editorial collaboration in some journals of high impact. ... More >>


Oleg Gusikhin
Ford Motor Company
United States


Brief Bio
Dr. Oleg Gusikhin is a Senior Director, Data Science & Machine Learning at Ford Global Data Insight & Analytics, where he leads Supply Chain Analytics. He has over 30 years of experience in application of advanced technology and analytics in the automotive industry. During his tenure at Ford, he has created numerous high-impact long-lasting applications for Ford manufacturing, supply chain and connected vehicles, and holds over 100 patents. Dr. Gusikhin is a Fellow of IEEE, a Fellow of INFORMS and a Fellow of AAIA. He is a recipient of three Henry Ford Technology Awards in the Manufacturing, Research, and Product Development categories, the 2025 INFORMS Innovative Applications in Analytics Award, and the 2014 INFORMS Daniel H. Wagner Prize for Excellence in the Practice of Advanced Analytics and Operations Research. In addition, Dr. Gusikhin is a Lecturer at the University of Michigan Industrial & Operations Engineering and engineering faculty advisor at the Tauber Institute for Global Operations. ... More >>

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