Ai-driven Decentralized Finance and the Future of Finance

In the evolving landscape of finance, traditional institutions grapple with challenges ranging from outdated processes to limited accessibility, hindering the industry's ability to meet the diverse needs of a modern, digital-first society. Moreover, as the world embraces Decentralized Finance (DeFi) and Artificial Intelligence (AI) technologies, there becomes a need to bridge the gap between innovation and traditional financial systems. This disconnect not only impedes progress but also limits the potential for financial inclusion and sustainable growth. AI-Driven Decentralized Finance and the Future of Finance addresses the complexities and challenges currently facing the financial industry. By exploring the transformative potential of AI in decentralized finance, this book offers a roadmap for navigating the convergence of technology and finance. From optimizing smart contracts to enhancing security and personalizing financial experiences, the book provides practical insights and real-world examples that empower professionals to leverage AI-driven strategies effectively. With a focus on regulatory challenges, ethical considerations, and emerging trends, this book teaches individuals and organizations how to harness the power of AI in finance. By fostering interdisciplinary collaboration and offering forward-thinking perspectives, the book equips readers with the knowledge and tools needed to navigate the complexities of the digital age. Through this comprehensive exploration, AI-Driven Decentralized Finance and the Future of Finance not only offers solutions to current challenges but also paves the way for a more inclusive, sustainable, and innovative future for finance.

Mohammad Irfan is presently working as an Associate Professor at School of Business and Management, Christ University, Bengaluru, India. Dr. Irfan has done his Ph.D. from the Central University of Haryana. He is MBA (Finance), M.Com (Account and Law), and MA (Economics). He has qualified UGC-JRF/SRF/NET in Management and Commerce. Dr. Irfan certified NSEs (NCFM) and BSEs certification. He has experience of more than sixteen years in the area of SAPM, Artificial Intelligence, Machine Learning, Blockchain, Cryptocurrency, Financial Engineering, Fintech, Green Finance, and Alternative Finance. He has to his credit more than 40+ Scopus Indexed articles, includes The Journal of Economic Cooperation and Development (Q2), International Journal of Business Excellence (IJBEX), International Journal of Economics and Management (IJEM), Montenegrin Journal of Economics (Q2), Cogent Business & Management (Taylor & Francis) (Q2), Indian Journal of Finance (IJF) and Journal of Islamic Monetary Economics and Finance (JIMF). His citations reached 301+ along with 12 H-index. Dr. Irfan has published 7 books in Springer, IGI Global Publication (Scopus indexed).

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 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 250 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, such as Artificial Intelligence in Medicine, Computers in Biology and Medicine, Information Sciences, IEEE Journal of Biomedical and Health Informatics, and IEEE Access. 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, such as Computers in Biology and Medicine, Journal of Software Engineering & Intelligent Systems, and International Journal of Advanced Computer Research. 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.

Swati Gupta brings a wealth of experience, accumulating two decades of expertise in both the academic and corporate realms. Currently serving as an Associate Professor at Universal AI University, she has dedicated a significant portion of her career to shaping minds in the academic arena, specializing in finance and accounting. With a profound understanding of the subject matter, Dr. Gupta has been instrumental in delivering comprehensive education, offering courses such as Fintech, Rural Finance, Valuation, Merger & Acquisition, and Financial Modeling. Her pedagogical approach is enriched by practical insights gained through her extensive corporate experience. In the corporate sector, Dr. Gupta’s acumen has been honed through active engagement with esteemed organizations. This dual perspective, blending academic rigor with real-world application, has not only defined her teaching philosophy but has also contributed to her success as a mentor for change. Beyond the classroom, Dr. Swati Gupta’s influence extends to the international stage, marked by her presentations at numerous conferences and a prolific record of publications and book chapters in Scopus-indexed journals. Her journey over two decades reflects a seamless integration of academic excellence and corporate wisdom, making her a distinguished figure in both spheres.

Fahmi Khalifa , Ph.D., is an Assistant Professor of ECE, Morgan State University (MSU), Maryland USA, received. Dr. Khalifa received his BS and MS degrees in Electrical Engineering from Mansoura University, Egypt in 2003 and 2007, respectively, and his PhD degree in 2014 from ECE Department, University of Louisville (UofL), USA. He has more than 15 years of hands-on experience in the fields of artificial intelligence, image/signal processing, machine learning, biomedical data analysis, and computer-aided diagnosis with more than 190 publications appearing in prestigious journals and top-rank international conferences in addition to and five US patents. Dr. Khalifa is an associate editor for IEEE Access, IEEE JBHI, and Frontiers in Neuroscience; guest edited multiple special issues; and served a reviewer for 60+ journals and conferences. Dr. Khalifa’s honors and awards include Mansoura University scholarship for distinctive undergraduate students for four consecutive years (1999–2002), Theobald Scholarship Award (ECE, UofL,2013), the ECE Outstanding Student award for two times (ECE, UofL, 2012 and 2014), the John M. Houchens award for the outstanding dissertation (UofL, 2014), the second-place Post-Doctoral Fellow award in Research! Louisville (UofL, 2014), PowerLIVE Award for Faculty commitment to students and their academic success (MSU, 2023), and Final list for the “Instructional Innovator of the Year” (MSU, 2023).

Rui Manuel Teixeira Santos Dias has a Postdoctoral degree in Finance at the State University of Feira de Santana (BR), Department of Exact Sciences. Doctor of Finance at the University of Évora―Institute of Research and Advanced Training (PT). Diploma of Advanced Studies in Doctoral Studies (DEA), at the University of Extremadura (ES), in the scientific area of Financial Economics.