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Victor Chang
Department of Operations and Information Management, Aston Business School, Aston University
United Kingdom
https://scholar.google.com/citations?hl=en&user=IqIYZ14AAAAJ&view_op=list_works&sortby=pubdate
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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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Ali Emrouznejad
University of Surrey
United Kingdom
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Brief Bio
Ali Emrouznejad is a Professor and Chair in Business Analytics at Surrey Business School, UK. He is also director of the Centre for Business Analytics in Practice, where he leads research efforts in a variety of areas, including performance measurement and management, efficiency and productivity analysis, and AI and big data. He earned his MSc in Applied Mathematics and his PhD in Operational Research and Systems from Warwick Business School, UK. He has been named as one of the top 2% most influential scientists in the world by Stanford University. He is a Fellow of the Institute of Mathematics and its Applicatio
ns (FIMA) Fellow of the Institute Sustainability as well as Fellow of the Institute for People-Centred Artificial Intelligence. Prof Emrouznejad has also collaborated on various research projects that were funded by reputable organizations such as the Department for Education and Skills (DfES), Royal Academy of Engineering, British Council, Knowledge Transfer Partnership (KTP), WHO-Africa (World Health Organization), European Unions (Regional Development Funds), among others. Prof Emrouznejad has published over 250 articles in top-ranked journals and has authored or edited several books. Additionally, he serves as an editor, associate editor, or member of the editorial boards for multiple scientific journals. [see: https://emrouznejad.com/].
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Luigi Fortuna
Dieei, University of Catania
Italy
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Brief Bio
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Peng Liu
University of Kent
United Kingdom
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Brief Bio
Dr Peng Liu is a Lecturer in Statistics at School of Mathematics, Statistics and Actuarial Science, University of Kent. Previously he was a Postdoctoral Fellow at Department of Mathematical and Statistical Sciences, University of Alberta, a Senior Postdoctoral Fellow at Department of Biostatistics, University of Washington and Fred Hutchinson Cancer Research Centre, a Research Assistant at Department of Mathematics, Hong Kong Baptist University. He has a PhD in Biostatistics from Academy of Mathematics and Systems Science, Chinese Academy of Science. His research interests include biostatistics, high dimensional
data analysis, functional and neuroimaging data analysis, rank estimation, causal inference, data bridging, matrix factorization, differential privacy, federate learning and reinforcement learning. He has published 5 papers in top computer science conference proceedings and 11 international statistical journals, including 2023 SIAM International Conference on Data Mining (SIAM SDM), Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI 2022), NeurIPS-20 workshop on Scalability, Privacy, and Security in Federated Learning, and 19th IEEE International Conference on Data Mining (ICDM 2019), Bernoulli, Social Networks, Statistica Sinica, Annals of the Institute of Statistical Mathematics, The Canadian Journal of Statistics. He is the Reviewer of the Mathematical Reviews/MathSciNet (American Mathematical Society), he has received the 2018 International Mathematical Institute (IMS) New Researchers Conference Travel Award.
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Debashis Das Chakladar
Luleå University of Technology
Sweden
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Brief Bio
Dr. Debashis Das Chakladar is an excellent postdoctoral researcher at Luleå University of Technology, Luleå, Sweden. Previously, he was a visiting scientist at the Indian Statistical Institute. He received his Ph.D. in Computer Science and Engineering from the Indian Institute of Technology Roorkee in 2022. His primary research areas are Pattern Recognition, Cognitive Workload estimation using brain signals, and Biomedical Signal Analysis. He is the author of many top-ranked journals, such as IEEE Transactions On Cognitive and Developmental Systems, Biomedical Signal Processing and Control, Information Fusion, et
c. He has published two papers in top conferences like the International Conference on Pattern Recognition (ICPR) in 2020 and 2022. He is the reviewer of many top journals such as IEEE Transactions On Cognitive and Developmental Systems, IEEE Transactions On Artificial Intelligence, Biomedical Signal Processing and Control, Neural Networks, etc. He is also the recipient of the IEEE Young Professional Award. He also served as a Team leader in IBM India Pvt. Ltd. and Tata Consultancy Services (TCS), India.
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