Synopsis
In the rapidly evolving financial landscape, the integration of artificial intelligence (AI) and machine learning (ML) has brought about unprecedented challenges for the banking and finance industry. As the era of Industry 5.0 unfolds, financial institutions face intricate decisions regarding investments, macroeconomic analysis, and credit evaluation, demanding advanced technologies to navigate this complexity. Moreover, the ever-growing volume of financial transactions requires efficient data processing and analysis. Amidst these pressing issues, scholars, academicians, and industry practitioners seek comprehensive insights into the role of AI and ML in bolstering resilience, ensuring sustainable development, and adopting human-centric approaches within the financial sector. The Impact of AI Innovation on Financial Sectors in the Era of Industry 5.0, edited by esteemed researchers Mohammad Irfan, Mohammed Elmogy, M. Shabri Abd. Majid, and Shaker El-Sappagh, serves as a compelling solution to the challenges presented by the integration of AI and ML into the banking and finance industry. This book offers an in-depth exploration of the functions and applications of AI and ML algorithms in the financial domain, with a focus on the principles of Industry 5.0: resilience, human centricity, and sustainable development. Through a collection of innovative research papers, this book unveils the remarkable potential of AI/ML technologies in revolutionizing the financial services industry. Addressing a diverse audience, including researchers, academicians, industrialists, investors, and regulatory bodies, this book invites contributions from practitioners and scholars. By delving into essential topics such as financial monitoring, algorithmic trading, secure transactions, customer data management, and sustainable development, it fosters ongoing discussions on ML algorithms' efficacy in processing vast amounts of data within the intricate banking and financial environment. As the financial landscape charts a course into Industry 5.0, The Impact of AI Innovation on Financial Sectors in the Era of Industry 5.0 emerges as an indispensable resource, propelling advancements that will shape the future of finance.
About the Author
Mohammed Elmogy is a professor and head of the Information Technology Dept., Faculty of Computers and Information, Mansoura University, Egypt. He received his B.Sc. and M.Sc. from the Faculty of Engineering, Mansoura University, Mansoura, Egypt. He received his Ph.D. from the Informatics Department, MIN Faculty, Hamburg University, Hamburg, Germany, in 2010. He worked as a visiting researcher from July 2016 to August 2019 at the Bioengineering Department, University of Louisville, Louisville, USA. He has authored/co-authored over 240 research publications in peer-reviewed reputed journals, book chapters, and conference proceedings. Most of his publications are in artificial intelligence, machine learning, computer vision, medical data analysis, and their applications. He has served as a reviewer for various prestigious international journals. He served as a technical program committee member in many workshops and conferences. He served as a member of the editorial board of many journals. He is a senior member of the IEEE Society, membership since 2008. He has been a professional member of the ACM society since 2011. He advised and co-advised more than 40 master's and doctoral graduates. His current research interests are artificial intelligence, computer vision, medical image analysis, machine learning, pattern recognition, and biomedical engineering. M. Shabri, S.E., M.Ec is a Professor in Islamic Economics, Faculty of Economics and Business, Universitas Syiah Kuala. He received his Bachelor of Economics (S.E) from Universitas Syiah Kuala, Indonesia, in 1995. He completed his Master of Economics (M.Ec) and Ph.D. in Financial Economics from the International Islamic University Malaysia (IIUM) in 1998 and 2005, respectively. He is the Coordinator, Master of Economics, Faculty of Economics and Business, Universitas Syiah Kuala (June 2019 to date). He has been appointed as the Head of Islamic Economics Department, Faculty of Economics & Business (2014-2017) and the Secretary of the Institute for Research and Community Services (2016-2018), Universitas Syiah Kuala, Indonesia. His research interests include financial economics, applied econometrics, Islamic economics, banking, and finance. He has published more than 100 articles in international refereed journals such as International Journal of Emerging Markets, Global Economic Review, Journal of Asia-Pacific Business, Studies in Economics and Finance, International Journal of Managerial Finance, Journal of Economic Cooperation and Development, Review of Islamic Economics, and JKAU: Islamic Economics. He has also presented his papers in various seminars locally and internationally. Shaker El-Sappagh received the bachelor's degree in computer science from the Information Systems Department, Faculty of Computers and Information, Cairo University, Egypt, in 1997, the master's degree from Cairo University, in 2007, and the Ph.D. degree in computer science from the Information Systems Department, Faculty of Computers and Information, Mansura University, Mansura, Egypt, in 2015. In 2003, he joined the Department of Information Systems, Faculty of Computers and Information, Minia University, Egypt, as a Teaching Assistant. Since June 2016, he has been with the Department of Information Systems, Faculty of Computers and Information, Benha University, as an Assistant Professor. He worked as a Research Professor at the UWB Wireless Communications Research Center in the Department of Information and Communication Engineering at Inha University, South Korea for three years from 2018 to 2020. He worked as a Research Professor at the Centro Singular de Investigación en Tecnoloxías Intelixentes (CiTIUS), Universidade de Santiago de Compostela, Santiago de Compostela, Spain for one year in 2021. Now, he has been an Associate Professor at Galala University, Egypt, since 2021. He has also been a Senior Researcher at the College of Computing and Informatics, Sungkyunkwan University, South Korea, since 2021. His publications in clinical decision support systems and semantic intelligence. His current research interests include machine learning, medical informatics, (fuzzy) ontology engineering, distributed and hybrid clinical decision support systems, semantic data modeling, fuzzy expert systems, and cloud computing. He is a reviewer of many journals. He is a reviewer in many journals, and he is very interested in the diseases' diagnosis and treatment research.(Based on document published on 28 June 2023).
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