Dr. R. Jegadeesan, Dr. Irfan Abdul Karim Shaikh, Vijaya Rama Raju Gottimukkala, Dr. Poongavanam
Indexed In: Google scholar
Release Date: 18/03/2026 | Copyright:©2026 | Pages: 564
ISBN10: 9349552469 | ISBN13: 9789349552463
"AI and Machine Learning in Digital Finance: Fraud Detection, Secure Payments, and Stock Market Forecasting" explores the transformative role of artificial intelligence and machine learning in revolutionizing the financial sector. This book delves into cutting-edge techniques for detecting fraudulent activities, ensuring secure transactions, and enhancing the accuracy of stock market predictions. By combining advanced AI algorithms and machine learning models, the book offers valuable insights into how financial institutions are leveraging these technologies to mitigate risks, streamline processes, and improve decision-making. From anomaly detection to predictive modeling, this book provides a comprehensive understanding of AI-driven innovations in fraud detection, secure payments, and investment strategies. It is a crucial resource for researchers, practitioners, and industry experts looking to harness the power of AI in shaping the future of digital finance.
This book provides comprehensive coverage of the pivotal role AI and machine learning play in modern digital finance. It explores the latest advancements in fraud detection, utilizing machine learning models like anomaly detection and neural networks to identify suspicious activities and prevent financial fraud. The book delves into secure payment systems, showcasing AI-driven encryption, biometric authentication, and blockchain technologies to safeguard digital transactions. It also examines stock market forecasting, highlighting the use of time series analysis, deep learning, and reinforcement learning to predict market trends and make data-driven investment decisions. Further, the book covers risk management applications, demonstrating how AI can assess and mitigate financial risks, and customer behavior analysis, offering insights into personalized financial services. Lastly, it addresses regulatory compliance, exploring how AI helps ensure adherence to financial regulations. This book equips readers with practical tools to leverage AI in shaping the future of digital finance.
Dr. R. Jegadeesan received the degree B.E, M.E and Ph.D in Computer Science and Engineering from Anna University, Chennai, Tamilnadu, India, in 2005, 2007 and 2018, respectively. He was a research Assistant Professor of Computer Science and Engineering in RMK Engineering College, Chennai with the University of Anna University Chennai, India. prior to his appointment at Anna university affiliated college Chennai, he served as an assistant professor faculty with RMK Engineering college for eleven years, currently working as a Professor (CSE) in Jyothishmathi Institute of Technology and Science, Karimnagar, where his specialized research areas of wireless networks, computer networks, cloud computing and wireless sensor networks for energy efficient scheduling systems and communications systems applications and IOT. He has published fifteen patents in the areas of bandwidth allocation, energy efficient and QoS and has authored over 84+ reputed international journals and two more book chapters and two books. He has professional body members in IEEE, CSI, IEI, ISTE, ISCA and has received award of “Young Faculty in Engineering” by Venus International Foundation, India, Young faculty in engineering, Best Academic familiar male faculty in 2018 and others. He has served as a reviewer for many International Journal.
Dr. Irfan Abdul Karim Shaikh is an experienced academic and researcher with over 20 years in higher education, currently serving as an Assistant Professor at Bahrain Polytechnic, Bahrain for the past 12 years. A recognized thought leader in the fields of business development and strategic transformation, Dr. Shaikh has actively participated in numerous national and international conferences, seminars, and webinars as a guest speaker, presenter, and panelist. He holds multiple patents and has published over 20 Scopus-indexed research papers in reputed international journals and conferences. His scholarly interests span Business Development Strategies, Digital Marketing, and Change Management.
Vijaya Rama Raju Gottimukkala is a pioneering technologist in financial technology, specializing in secure cross-border payments, financial messaging modernization, and AI-driven innovation. His expertise spans software engineering, AI/ML, Generative AI, and cloud computing applied to critical infrastructures that power global finance. Vijay has led advancements in ISO 20022 adoption, SWIFT gpi integration, and cloud-native microservices for transparent, real-time payments. His AI and Generative AI initiatives have revolutionized fraud detection, AML, and automated exception handling, enhancing efficiency and trust in financial networks. With deep proficiency in Java, AWS, Angular, and DevOps, he has driven the migration of financial systems to scalable, resilient cloud platforms. His research and contributions to AI in payments, federated learning, and predictive analytics continue to influence the fintech and insurance sectors globally, positioning him as a visionary leader shaping the next generation of intelligent, secure, and adaptive financial ecosystems.
Dr. Poongavanam holds a Ph.D. in Human Resource Management and dual MBAs in HR, Marketing, and Finance. He has over 25 years of academic and research experience in Management and Commerce. He has authored 15 books and published more than 150 research papers in reputed journals. His research projects are funded by AICTE and various industry partners. He has received multiple national and international awards for excellence in research and teaching. His areas of interest include Accounts, Finance, and Human Resource Development.
