In the realm of Islamic finance, a pivotal challenge looms—the escalating complexity of investment decisions, macroeconomic analyses, and credit evaluations. In response, we present a groundbreaking solution that resonates with the rapidly evolving fintech era. Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques offers a compelling repository of knowledge, meticulously curated by renowned editors Mohammad Irfan, Seifedine Kadry, Muhammad Sharif, and Habib Ullah Khan.

At the heart of this challenge lies a convergence of technologies—artificial intelligence (AI), machine learning (ML), and blockchain—that have revolutionized financial services. Our book unravels the symbiotic relationship between these innovations and the intricate world of Islamic finance. As institutions strive to navigate this landscape, our solution emerges as a guiding light. By delving into AI's predictive power and ML's capacity to analyze vast datasets, the book empowers financial institutions to automate processes, enhance efficiency, and make informed decisions.

As the global Muslim population grows, the demand for Islamic financial services intensifies, presenting a unique growth opportunity. However, with growth comes the challenge of managing resources, regulations, and strategies. This book serves as an invaluable guide for governments, academic institutions, and industry players, offering insights into AI/ML's transformative potential within Islamic fintech. From financial monitoring to blockchain applications, this compendium addresses diverse topics, equipping researchers, academicians, industrialists, and investors with the knowledge to navigate the intricacies of modern Islamic finance.

Fintech Applications in Islamic Finance: AI, Machine Learning, and Blockchain Techniques is a call to action, an exploration of innovation, and a guide for both academia and industry. In an era where AI, ML, and blockchain reshape finance, this book stands as a beacon of knowledge, ushering Islamic finance into a realm of unprecedented efficiency and insight. As we invite readers to embark on this transformative journey, we illuminate the path to a future where technology and tradition converge harmoniously.

Coverage:

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

Algorithmic Trading
Blockchain Technology
Customer Data Management
Financial Monitoring
Islamic Finance
Machine Learning
Predictive Analytics
Regulatory Framework
Risk Management
Secure Transactions

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Editor/Author Biographies

Mohammad Irfan is presently working as an Associate Professor at NSB Academy, Business School, Bangalore, India. Prior joining to NSB Academy, 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 has presented papers in IIM-A, IIM-C, IIM-Indore, IIM-Shillong, IIT-Roorkee, Indonesia, Malaysia, Switzerland.

Muhammad Sharif PhD (IEEE Senior Member), is an Associate Professor at COMSATS University Islamabad, Wah Cantt Pakistan. He has completed his PhD in Image Processing from COMSATS Institute of IT, Islamabad in 2013. He got his MS (CS) degree from the same institute in 2007 and MCS degree from Quaid-e-Azam University, Islamabad Pakistan in 1995. He has worked one year in Alpha Soft UK based software house as a developer/team leader in 1995. He is an Oracle Certified Professional in Developer Track. He has adopted teaching profession since 1996 to date. He has more than 150 research publications in IF, SCI and ISI journals as well as in national and international conferences and obtained 100+ Impact Factor. He has been supervised 40 MS (CS) thesis till date. Currently, he is supervising 05 PhD (CS) students and co-supervising 10 PhD (CS) students. Recently, one of his student successfully defended PhD (CS) thesis. In addition, more than 350 undergraduate students have successfully completed their degree project work under his supervision. His research interests include Medical Imaging, Biometrics, Computer Vision, Machine Learning and Agriculture/Plants imaging. He is being awarded with COMSATS Research Productivity Awards continuously since 2010 till now. He has been served in the TPC for the IEEE FIT 2013-17. He is also currently serving as an Associate Editor for IEEE Access Journal and Guest Editor in four Journal special issues as well as reviewer for many well reputed journals. He has headed the Department of Computer Sciences COMSATS Institute of IT, Wah Cantt from 2008 to 2011 and successfully achieved the targeted outputs. He also attended a number of prestigious national and international conferences throughout his career.

Habib Ullah Khan received the Ph.D. degree in management information system area from Leeds Beckett University, U.K. He is currently working as a Professor of information systems with the Department of Accounting and Information Systems, College of Business and Economics, Qatar University. Academic experience-wise, he was associated with many leading universities of Gulf, USA, and Europe. Overall he has more than 21 years of working and research experience in different multinational companies (on different managerial positions), and reputed educational institutions in U.K., USA, Oman, United Arab Emirates, Saudi Arabia, and Qatar. During his past experience, he was an excellent team player and leader; his diversified experience helped him to manage multicultural students and the workforce in educational institutions. He has a strong skill set in managing undergraduate and graduate-level teaching of MIS and general management courses at the university level. The ability to analyze complex management procedures and extensive knowledge in information systems helped him to meet the challenge of remaining current with new and developing technology, and its applications in the management functions. He successfully demonstrated his skills in information management, client relations, training, and communication in a high-pressure environment with a successful management experience in the Gulf Region.

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