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.

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.

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.

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).  

Dr. Anandadeep Mandal, University of Birmingham, UK

Dr. Anandadeep Mandal is an Associate Professor in Finance, a Scotcoin Distinguished Chair of Digital Finance and Programme Director MSc Financial Technology. He is an applied mathematician with both theoretical and empirical interests in the field of quantitative finance. He also has a keen interest in formulating strategies through ‘data-driven problem solving’ approach. His research underpins a desire to learn, understand and explain the complex dynamics of the key issues in the society ranging from financial economics to healthcare. Apart from mainstream disciplinary journals, he has several high impact articles involving inter-disciplinary collaborations on health applications, leading to decision making by health organizations like the NHS and the UK government. He received a PhD on Probability Distribution Fitting, Cranfield University, UK.

Dr. Jiabin Luo, Aston University, UK

Dr. Jiabin Luo is a Senior Lecturer in Business Analytics at the Department of Operations and Information Management, Aston Business School since July 2023. She joined Aston University as a Lecturer since September 2018. After completing her PhD in Management Science at the University of Southampton in 2013, she held postdoc researcher position at Coventry University, before joining De Montfort University as the Vice Chancellor's 2020 Lecturer in Business and Management in 2016. Her research interests are the optimisation and decision making in the area of logistics and supply chain management. She is Programme Co-Director of MSc Degree Apprenticeship: Digital & Technology Solutions Specialist. https://www2.aston.ac.uk/study/courses/digital-and-technology-solutions-specialist . She is a Fellow of The Higher Education Academy.

Dr. Peng Liu, University of Kent, UK

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.

Dr. Shubhadeep Mukherjee, Aston University

Dr. Shubhadeep Mukherjee has worked at Aston Business School since September 2022. Before joining Aston, he worked as an Assistant Professor of Operations management at XIM University, India. He holds a B-tech in electrical engineering from West Bengal University of Technology, India and a PhD in the area of Information Systems from Indian institute of Management Ranchi. Shubhadeep's research interests include application of artificial intelligence in business, specifically in the areas of healthcare and education. He has published in various international journals such as Decision Support System, Information System Frontiers and others. His work has also been presented in various international conferences.

Dr. Muhidin Mohamed, Aston University

Dr. Muhidin Mohamed is a Teaching Fellow in Business Analytics at the department of Operations and Information Management, Aston University. He holds a PhD in Data Analytics and Natural Language Processing and has over 13 years of academic experience in higher education both in the UK and overseas. He worked at the University of Birmingham as a Teaching Associate for over four years before joining Aston University. He was previously employed in higher education institutions in Malaysia, Saudi Arabia, Sudan and Somalia. His general background covers Computer Science and Electrical Engineering with a specific specialization and interest in Data Science and Machine Learning. Besides, Muhidin worked as a telecom engineer and a business consultant for over 2 years. Muhidin's current research interests include Social Media Analytics, AI adoption in Small and Medium Enterprises (SMEs), Natural Language Processing (NLP) and Machine Learning. He has about 20 publications in international peer reviewed journals and conference proceedings. He also engaged in a range of other ICT research projects including Biomedical Data Analysis, Network Traffic Management and Performance Optimisation, and Wireless Communication Technologies.

Dr. Muhammad Azeem Abbas, Aston University

Dr. Muhammad Azeem Abbas is currently working as Lecturer Information Systems & ICT at Aston University. He has demonstrated achievements in the areas of teaching (both graduate and postgraduate level), research (publications and research projects) and several professional services. His taught courses include Information Systems and Databases, eCommerce, Advanced Artificial Intelligence, Machine Learning, Information Retrieval, DataWarehousing, Programming, and Web Development. His areas of research include Artificial Intelligence, Machine Learning, Semantic Web and more specifically AI in Education and construction. He has performed both administrative supervision and research supervision (including Ph.D., Masters and graduate majors). He is always enhancing his skills through continuous learning and working with new technologies. He completed his PhD Information Technology, Universiti Teknologi Petronas, Malaysia, in 2015.