Professor Dr Shah Miah

Professor Dr Shah Miah

Professor of Business Analytics, University of Newcastle, Australia

Professor Dr Shah Miah is a Professor of Business Analytics, Program Director, Bachelor of Business Analytics, and Head of the Business Analytics, Economics & Politics at Newcastle Business School, The University of Newcastle, New South Wales, Australia. Prior to this role, Shah has held various academic positions at Victoria University, Melbourne; University of the Sunshine Coast; Griffith University; and James Cook University, Queensland.

Since receiving his PhD degree from Griffith University in the area of Business Decision Support Systems, his research interests have expanded in Artificial Intelligence (AI) oriented information systems (IS). The AI-powered IS and relevant technological advancements have already been impacted to reshape our norms, interactions, and dealings in organizations and societies. Shah's research has been evolving to transform business processes with innovative opportunities for going beyond aspects such as for cutting costs and maximizing profits in organizations, although some application design areas are still yet to be fully automated for leveraging their capabilities, substituting intermediatory levels, and boosting efficiencies. Shah's research also includes in designing smart business technologies to address new waves of advancements, such as robotic operations, autonomous information control and monitoring systems, industrial integrated data solutions, smart business process re-engineering, cyber-physical systems, augmented analytics and different machine learning-enabled information solutions. His research has produced the latest knowledge about such technologies and applications that are continuously recreating opportunities and their significance for continuous reinforcement to improve organizational performance and transformational benefit among businesses.

Prof Miah has produced over 200 publications, including research books, journal articles, book chapters, and refereed conference articles. His outstanding work has appeared in top-tier outlets of the field, such as the Journal of the Association for Information Systems, Journal of the Association for Information Science and Technology, Information and Management, Information Technology and People, and Knowledge-Based Systems. He is actively involved in the Australian business industries for various consulting and problem-solving research activities and collaborations with national and international universities. He now serves on the editorial boards of the International Journal of Business Intelligence Research, Education and Information Technologies, and Australasian Journal of Information Systems and has led and edited several special issues for each. Dr Shah is also an Adjunct Professor of Information Systems, Victoria University, Melbourne; Adjunct Professor of Information Technology, the University of Fiji, Fiji; and Verandra University, Bangladesh. His teaching expertise focuses on Innovative teaching curriculum design for delivering higher education through online and mobile-enabled approaches, particularly for teaching in socio-technical areas such as business info systems, business intelligence, big data and predictive analytics, and other areas of higher education in business and Information Technology based innovations.

Prof Miah has examined over 40 PhD dissertations, to date has successfully supervised 15 PhD degree completions, and is currently supervising more than 14 PhD projects internally and externally. Following the background of expertise, Shah's strong vision of research is to promote and contribute to the impact of digital transformation and robotic automation technology design and their adaptation in business organizations and explore opportunities for new research and future collaborations for building interdisciplinary research projects. The projects are mainly focused on the merits of the four organizational capabilities: 1) business process automation; 2) exploring opportunities of big data; 3) empowering process and practice improvement enabling transparent or/and evidence-based insight/decision making and 4) improving impact of machine-driven automation, creativity, and innovations. Related to this, some of the key areas can be noted below (but not limited to):

  • Robotic Automations for Business Process Improvement (e.g. customer retentions, supply chain, production planning);
  • Human-Machine Teaming
  • Substitutive Nature of AI and process overriding issues in organizations,  
  • Ethical AI, Explainable Robotic Solutions, and Social Robots
  • Data-Driven Business Decisions Systems
  • Integrated smart automation solutions