In the evolving landscape of finance, traditional institutions grapple with challenges ranging from outdated processes to limited accessibility, hindering the industry's ability to meet the diverse needs of a modern, digital-first society.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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

Accessibility in Finance
AI in Financial Systems
Artificial Intelligence and Decentralized Finance
Bridging the Gap
Decentralized Finance (DeFi)
Digital-First Society
Financial Inclusion
Future of Finance
Interdisciplinary Collaboration
Optimizing Smart Contracts
Sustainable Growth
Technology and Finance
Traditional Financial Systems
Transformative Potential

Table of Contents

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Editor/Author Biographies

Mohammad Irfan is presently working as an Associate Professor at CMR Institute of Technology, Bangalore. Prior joining to CMRIT, he was associated with the School of Business, AURO University, Surat, Gujarat for five years. He is MBA (Finance and Marketing) and M.Com (Account and Law). Dr. Irfan has done this Ph.D. from the Central University of Haryana. He has qualified UGC-SRF/NET in Management and UGC-NET in Commerce. Dr. Irfan has also qualified NSEs (NCFM) and BSEs Certification. He has experience of thirteen years in the area of Financial Management, Security Analysis and Portfolio Management, FAD, Data Analysis for Business, Financial Engineering, Financial Analytics, Fintech, Financial modeling in Excel, Green Finance, and Alternative Finance. He has to his credit various research papers published in Scopus Indexed Journals including International of Business International Journal of Business Excellence (IJBEX), Indian Journal of Finance (IJF). He is an editorial board member/reviewer in several national and international journals. Dr. Irfan presented papers in IIM-A, IIM-C, IIM-Indore, IIM-Shillong, IIT-Roorkee, Indonesia, Malaysia, Switzerland.

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.

Swati Gupta is an accomplished academician, mentor for change, and a beacon of inspiration in the world of education. With over a decade of experience, she has made significant contributions to the academic landscape. As an Associate Professor at Universal AI University, her passion for teaching and commitment to academic excellence have been instrumental in shaping the minds of aspiring leaders. She has taught courses in entrepreneurial finance, entrepreneurial leadership, excel, and corporate finance, instilling not only subject knowledge but also ethical values in her students. Beyond the hallowed halls of Universal AI University, Dr. Gupta's influence extends internationally, as she has been associated with prestigious institutions such as Grant Thornton Bharat LLP, where she imparts her expertise in analytics. Additionally, she has organized workshops on entrepreneurship, design thinking, and finance for renowned institutes, including DST, Niti Ayog, YESBUD University, and South Africa. Dr. Gupta's mentoring prowess shines as she nurtures budding entrepreneurs, providing unwavering support to bring their innovative ideas to life. Her dedication to fostering positive change has earned her immense respect among her peers and students alike. In summary, Dr. Swati Gupta's journey in academia and mentorship exemplifies a tireless pursuit of knowledge, an unwavering commitment to education, and a passion for empowering the next generation of leaders. Her impact in both teaching and mentoring is a testament to her valuable contributions to the academic and entrepreneurial ecosystem.

Fahmi Khalifa,, PhD received his BS and MS degrees in Electronics and Electrical Communication Engineering from Mansoura University, Egypt in 2003 and 2007, respectively. He received his PhD degree in 2014 in Electrical Engineering from Electrical and Computer Engineering Department, University of Louisville, USA. Dr. Khalifa has more than 10 years of hands-on experience in the fields of medical image analysis and computer-aided diagnosis. Particularly, he has extensive experience in analyzing contrast-enhanced and diffusion-weighted abdominal magnetic resonance images. He has developed new probabilistic models and learning techniques for accurate segmentation of diffusion and contrast-enhanced MR images, and new registration techniques for motion correction of abdominal MR images, all of which have been reported in more than 100 peer-reviewed publications appearing in prestigious international journals, book chapters, and conference proceedings. Dr. Khalifa was the recipient of the Mansoura University scholarship for distinctive undergraduate students for four consecutive years. He was also the recipient of the Theobald Scholarship Award in 2013 and the ECE Outstanding Student award for two years in 2012 and 2014 from Electrical and Computer Engineering Department, University of Louisville. In 2014, he was the recipient of the John M. Houchens award for the outstanding dissertation and the second place Postdoctoral Fellow award in Research! Louisville.

Rui Manuel Teixeira Santos Dias. 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.

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