In the ever-evolving landscape of finance, the amalgamation of Artificial Intelligence (AI) and Decentralized Finance (DeFi) is proving to be a seismic shift, reshaping the traditional paradigms of the financial industry. As financial ecosystems increasingly embrace the transformative power of technology, "AI-Driven DeFi: Transforming Finance in the Digital Age" emerges not just as a book but as a guiding beacon through the complexities of this revolutionary convergence. In recent years, we have witnessed the rise of DeFi platforms, decentralized lending protocols, and smart contracts, all fueled by the power of blockchain. Simultaneously, advancements in AI have pushed the boundaries of what is possible in data analysis, prediction modeling, and algorithmic decision-making. The synergy between these two technological powerhouses has given birth to a new era in finance—one that demands exploration, understanding, and a roadmap for navigating the uncharted territories ahead. Comprehensive Exploration: "AI-Driven DeFi" contributes by offering a comprehensive exploration of the multifaceted integration of AI within the decentralized financial landscape. From the optimization of smart contracts to the personalization of financial experiences, the book leaves no stone unturned in dissecting the key components of this revolutionary transformation. Practical Insights: The book provides practical insights for professionals seeking to leverage the potential of AI in their DeFi strategies. Real-world examples and use cases illustrate how AI is not merely a theoretical concept but a tangible force shaping the landscape of decentralized finance. Navigational Guide: By addressing regulatory challenges, ethical considerations, and emerging trends, the book serves as a navigational guide for readers—empowering them to navigate the complexities of AI-driven DeFi with clarity and confidence. Future Perspectives: "AI-Driven DeFi" doesn't just focus on the present; it looks to the future. The book contributes to the ongoing conversation about the evolution of AI and DeFi, offering insights into potential future developments, challenges, and opportunities on the horizon.

Objectives, Impact, and Value

 Demystify the Intersection of AI and DeFi: The primary goal of the book is to demystify the intricate interplay between Artificial Intelligence (AI) and Decentralized Finance (DeFi). By providing a clear and accessible explanation of how these two transformative forces converge, the book aims to break down complex concepts into digestible insights for a diverse audience. Readers, regardless of their background, will gain a foundational understanding of how AI technologies are integrated into decentralized financial systems. This objective seeks to empower individuals to navigate and contribute to discussions surrounding the transformative potential of AI-driven DeFi.  Provide Actionable Insights for Professionals: Another key objective is to offer practical, actionable insights for finance professionals, technologists, and entrepreneurs looking to leverage AI in the context of decentralized finance. Real-world case studies, industry best practices, and examples of successful implementations will be included to guide professionals in applying AI strategies to their DeFi endeavors. Professionals within the financial industry will gain actionable knowledge, enabling them to harness the power of AI for optimizing smart contracts, enhancing security, and creating personalized financial experiences within decentralized ecosystems. This objective aims to bridge the gap between theoretical understanding and practical application.  Facilitate Informed Decision-Making and Future Planning: The book seeks to empower its readers with the knowledge required for informed decision-making in the rapidly evolving landscape of AI-driven DeFi. By analyzing regulatory challenges, ethical considerations, and emerging trends, the objective is to provide a holistic view that aids individuals and organizations in making strategic decisions and planning for the future. Readers will be equipped with insights to navigate the complex regulatory landscape, address ethical considerations associated with AI in finance, and stay ahead of emerging trends. This objective contributes to shaping a cohort of informed decision-makers who can actively participate in and influence the future direction of AI-driven DeFi.

Unique Selling Points

The impact of "AI-Driven DeFi" lies in its ability to demystify the intricate relationship between AI and decentralized finance. By delving into the heart of this integration, the book unveils the potential for innovation, disruption, and a fundamental shift in how financial services are conceptualized, executed, and experienced. This book aims to serve as a catalyst for informed discourse and actionable insights. Through a meticulous examination of case studies, interviews with industry leaders, and a balanced analysis of both opportunities and challenges, it equips readers with the knowledge to not only comprehend the current state of AI-driven DeFi but also to actively contribute to its evolution.

Audience/ Market

Marketing considerations for the proposed book on green finance and sustainability could involve highlighting the expertise of the editor, who has a diverse profile that includes extensive experience in finance, DeFi, environmental economics and ML/AI. The editor's background in both academia and industry could be leveraged to showcase the book's relevance to a broad range of readers, from researchers and policymakers to business experts and industry professionals. This book will be compiled by five editors who are associated with famous universities across the globe. Dr. Mohammad Irfan, affiliated with NSB Academy, Business School, Bangalore, India. Dr. Irfan has connected with an expert in DeFi, green finance, alternative finance, fintech, AI & ML, and IT. Prof. Dr. Mohammed Elmogy, Faculty of Computers and Information, Mansoura University, Egypt along with 4042+ citations, He worked as a Visiting Researcher with the Bioengineering Department, University of Louisville, Louisville, USA, from July 2016 to August 2019. He has authored or coauthored over 230 research publications, and experts in Data Mining, Artificial Neural Network, Computer Engineering, and Artificial Intelligence. Dr. Fahim Khalifa, Clarence Mitchell School of Engineering, Morgan State University, USA, his area of specialization Computer Security and Reliability, Artificial Intelligence, Sociocybernetics, Communication and Media, Social Policy, Risk Management and Insurance, Macroeconomics, Financial Economics with 5817+ citations. Dr. Rui Dias, Professor, Polytechnic Institute of Setúbal, School of Business Sciences, Setúbal, Portugal with 1614+. The editorial board team will connect the faculty and scholar from India, Egypt, US, and Portugal. The contribution of the paper diversifies the authors of chapters.

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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 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 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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