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Committees |
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Prof. Victor Chang, Aston University, UK Prof. Victor Chang is currently a Professor of Business Analytics at Aston Business School, Aston University, UK. He was a Professor of Data Science and Information Systems at SCEDT, Teesside University, Middlesbrough, UK, between September 2019 and May 2022. He was a Senior Associate Professor, Director of Ph.D. (June 2016- May 2018) and Director of MRes (Sep 2017 - Feb 2019) at International Business School Suzhou (IBSS), Xi’an Jiaotong-Liverpool University (XJTLU), Suzhou, China, between June 2016 and August 2019. He was also a very active and contributing key member at Research Institute of Big Data Analytics (RIBDA), XJTLU. He was an Honorary Associate Professor at University of Liverpool. Previously he was a Senior Lecturer at Leeds Beckett University, UK, between Sep 2012 and May 2016. Within 4 years, he completed Ph.D. (CS, Southampton) and PGCert (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 a European Award on Cloud Migration in 2011, IEEE Outstanding Service Award in 2015, best papers in 2012, 2015 and 2018, the 2016 European special award and Outstanding Young Scientist 2017. He is a visiting scholar/Ph.D. examiner at several universities, an Editor-in-Chief of IJOCI & OJBD journals, former Editor of FGCS, Associate Editor of IEEE TII, JGIM, IJBSR, IJEBM & Cyber Security & Apps. He's also an Editor of Information Fusion, IDD and Scientific Reports journal, a founding chair of two international workshops and founding Conference Chair of IoTBDS and COMPLEXIS since Year 2016. He is the founding Conference Chair for FEMIB since Year 2019. He published 3 books as sole authors 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 experience developing 10 different services for multiple disciplines.
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International Advisory Chairs
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Prof. Kim Hua Tan, University of Nottingham, UK Prof. Kim Hua Tan is a Professor in Operations and Innovation Management, Nottingham Business School. Prior to this, he was a researcher and teaching assistant at Centre for Strategy and Performance, University of Cambridge. Professor Tan spent many years in industry, before joining academia in 1999. His current research interests are lean management, operations strategy, decision making, and supply chain risk management. Professor Tan has published a book called 'Winning Decisions: Translating Business Strategy into Action Plans,' and numerous articles in academic journals such as Decision Sciences, International Journal of Operations and Production Management, International Journal of Production Economics, International Journal of Innovation Management, and others. His areas of research include Accelerated product innovation, lean management, supply chain management, sustainable operations, lean green, operations strategy implementation.
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Prof. Patrick C. K. Hung,Faculty of Business and IT, Ontario Tech University, Canada Patrick C. K. Hung is a Professor and Graduate Program Director of Computer Science at Ontario Tech University, Faculty of Business and Information Technology. He is a Leverhulme Visiting Professor at Aston University, England, and an Honorable Guest Professor at Shizuoka University, Hamamatsu, Japan. He was also a Distinguished Visiting Fellow at Abertay University, Scotland, and a Visiting Researcher at the University of São Paulo, Brazil. Dr. Hung worked with Boeing Research and Technology in Seattle on aviation services-related research with two U.S. patents on the mobile network dynamic workflow system. Before that, he was a Research Scientist with Australia's Commonwealth Scientific and Industrial Research Organization. He is a founding member of the IEEE Technical Committee on Services Computing and IEEE Transactions on Services Computing. In addition, he is an editorial board member for the IEEE Transactions on Engineering Managemen.
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Prof. Bing Xu, Heriot Watt University, UK Prof. Bing Xu is a Professor of Finance, Heriot Watt University, UK. Her research focuses on banking and investment analytics by modelling the impact of uncertainty on banks’/firms’ performance, their lending/investment, and risk-taking behaviours. She is also passionate on scrutinizing the causes of sustainable finance gap, and the consequences of climate-related risks on firms’ performances and access to finance. Another strand of Bing’s research is around the design of multidimensional frameworks (e.g., DEA, multi-criteria decision-making analysis-based approaches) to evaluate energy strategies and prediction models. She also has works around modelling/forecasting oil prices and studying the dynamic impact of oil price shocks on the economy. Edinburgh. Bing leverages social science innovations to tackle the challenges associated with achieving net zero, particularly in the areas of low carbon fuels, circular economy, and sustainable cold chains. Prof. Xu has worked on a portfolio of UKRI funded multidisciplinary projects on low carbon fuels, sustainable cold-chains, and circular chemical economy which are recognized as central to achieving net zero. Currently, Bing is working on several UKRI funded projects around business models, sustainable finance, performance analytics, social dynamics, and policy, with five successful grants. She leads on “Policy, Society and Finance” theme of work to address barriers related to business and finance models, social dynamics, multi-criteria decision making analysis and policy, such as Zero Emission Cold-Chain (EP/V042548/1); GREEN-ICEs (EP/T022701/1); UKRI Interdisciplinary Centre for Circular Chemical Economy (EP/V011863/1); Digital Circular Electrochemical Economy (EP/V042432/1); CCUS for UK cluster decarbonisation (IDRIC Wave 2).
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Program Chairs
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Dr. Muhammad Mustafa Kamal, Exeter University, UK Dr. Muhammad Mustafa Kamal is an Associate Professor in Sustainable Operations and Analytics and Deputy Head of the Operations and Analytics Department at the University of Exeter Business School, brings a wealth of academic expertise and a commitment to fostering collaborative scholarly and research initiatives. Prior to joining the University of Exeter, Kamal was an Associate Professor in Supply Chain Management, and Curriculum Lead (Head of Subject Group) in Business Analytics and Digital Transformation. He earned his PhD in Information Systems from Brunel University London, focusing on the adoption and evaluation of enterprise integration technologies in local government authorities in the United Kingdom. As a participant in numerous research grants bringing in income well over £1million, Kamal has published over 100 research papers exploring the technological paradoxes and artificial intelligence implementation, supply chain digitalisation, emergency medical supplies scheduling, digitalisation in omnichannel healthcare supply chain businesses, adoption of additive manufacturing for sustainable operations, impact of big data analytics on supply chain operations, enabling circular supply chain artificial intelligence adoption in food supply chains, value co-creation through social innovation, enabling sustainable energy futures, green supply chain collaboration, and analysing supply chain integration, and circular economy implementation. He is a regular presenter at UK, EU, and international conferences such as BAM, AMCIS, ECIS, HICSS, EMCIS and also published in POMS, IPSERA and Logistics Research Network.
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Dr. Ahmed F. Zobaa, Brunel University London, UK Dr. Ahmed Faheem Zobaa is an experienced academic in Electrical Power Engineering, with degrees from Cairo University, the University of Exeter, and Brunel University London. His academic journey started at Cairo University, where he served in various roles including Instructor, Teaching Assistant, and Assistant Professor from 1992 to 2007. He then took on a role as a Senior Lecturer in renewable energy at the University of Exeter from 2007 to 2010, before moving to Brunel University London as a Senior Lecturer in power systems from 2010 to 2019. Currently, he is a Reader in electrical and power engineering and a member of the Brunel Interdisciplinary Power Systems Research Centre. His areas of expertise include power quality, renewable energy (including marine), smart grids, energy efficiency, lighting applications, and Education.
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Review Chairs
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Dr. Giray Gozgor, University of Bradford, UK Dr. Giray Gozgor is an Associate Professor of Economics/Finance at the School of Management, University of Bradford. He received a PhD in Economics in 2012 from Istanbul University. He worked as a visiting scholar at Ghent University (2013/14) and the University of California, Irvine (2014/15). He was promoted to Full Professor (Chair) position at Istanbul Medeniyet University in 2020. He has been included in Clarivate's Highly Cited Researchers 2023 List. Dr Gozgor is the Research Affiliate of the CESifo Network at the Ludwig Maximilian University of Munich (LMU) and the Research Associate of the Centre for Blockchain Technologies at the University College London (UCL). Dr Gozgor published more than 140 papers in the Web of Science (SSCI and SCIE) indexed journals, including CABS 4 and CABS 3 journals, such as Annals of Operations Research; Annals of Tourism Research; Economics Letters; Energy Economics; International Journal of Finance & Economics; International Review of Financial Analysis; Journal of Environmental Management; Journal of Human Capital; Journal of International Financial Markets, Institutions & Money; Journal of Travel Research; and Public Choice. His research interests include applied econometrics, climate change economics, financial economics, international economics, international finance, and political economy. |
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Dr. Mohammad Zoynul Abedin, Swansea University, UK Dr. Mohammad Zoynul Abedin is a Senior Lecturer in Finance (Fintech) at Swansea University, U.K. He has advanced analytical skills for both quantitative and qualitative research. He is an experienced Data Analyst and Project Evaluator, and specializes in fintech, data mining, big data analytics, deep learning, machine learning, energy analytics, sustainability, climate analytics, and implications in 4th industrial revolution. He is actively engaged in research activities and project dissemination across various disciplines nationally and internationally. He regularly engages with local communities, SMEs, public, and private sector organizations. He has published more than 70 research papers that includes full-length papers, conference papers, book chapters and edited book. His research works appeared on the leading peer-reviewed journals, including IEEE Transactions on Industrial Informatics, Annals of Operations Research, International Journal of Production Research,/ International Journal of Finance and Economics, Research in International Business and Finance, Complex & Intelligent Systems, and IEEE Access. He has edited the book on The Essentials of Machine Learning in Finance and Accounting (Taylor & Francis, U.K.) and a Guest Editor of the Annals of Operations Research, Finance Research Letters, and Journal of International Financial Markets, Institutions & Money. |
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