The book explores the mathematical and computational techniques used in Decentralized Finance (DeFi) and Financial Technology (FinTech).
DeFi operates on smart contracts, which are self-executing programs that automate the necessary actions for conducting transactions on a blockchain.
FinTech encompasses a broader range of services, including digital payments, mobile banking, and financial analytics, often powered by machine learning and data science.
This book integrates mathematical concepts such as cryptographic algorithms, stochastic modeling, optimization, and game theory with computer science principles of Consensus mechanisms in cryptocurrency networks that include:
Proof-of-Work (PoW): Users solve complex computational puzzles to add new blocks to the blockchain.
Proof-of-Stake (PoS): Users validate transactions based on the number of coins they hold and are willing to 'stake' for network security.
The aim is to use such a combination to enhance the security, stability, and efficiency of automated systems for decentralized exchanges, lending protocols, and automated markets. Furthermore, advancements in computation—such as artificial intelligence, big data, and cloud computing—improve DeFi by enabling the prediction of asset movements, analyzing user behavior, and supporting scalable decentralized applications.
Despite rapid advancements, challenges remain, particularly in areas like smart contract vulnerabilities, market volatility, and regulatory compliance. Ongoing interdisciplinary research is focused on addressing these issues through improved composability and integration of mathematics with computation. These innovations promote global participation, transparency, and financial inclusion.
About the Author :
Abhishek Kumar, Senior Member of IEEE, is an Assistant Director and Professor in the Computer Science & Engineering Department at Chandigarh University, Punjab, India. With over 13 years of teaching experience, he has published 170+ peer-reviewed papers and successfully supervised four Ph.D. scholars, with four more currently under his guidance, along with 30+ M.Tech projects.He holds a Ph.D. from the University of Madras and completed postdoctoral research at Universidad de Castilla-La Mancha, Spain. His research interests span artificial intelligence, renewable energy systems, image processing, and data mining. An award-winning researcher, Dr. Kumar has received several accolades, including the Sir C.V. Raman National Award (2018), and holds a patent.An accomplished author and editor, he has authored seven books and edited 51 volumes with reputed publishers like IET, Elsevier, Wiley, Springer, and De Gruyter. Dr. Kumar also serves as Series Editor for book series such as Quantum Computing (De Gruyter), Intelligent Energy Systems (Elsevier), and AI for Environmental Sustainability and Applied Oceanography (De Gruyter).
Jose Reyes Juarez Ramirez is currently holding a Full Professor position in UABC, Tijuana campus,Baja California, Mexico. He is the President of the Mexican Network of Software Engineering (REDMIS,https://conisoft.org/redmis/). He is a member of National System of Researchers of Mexico(SNI), Level 2, and leads several research projects in collaboration with Industry. His research areas are Software Engineering (uncertainty in agile methodologies, quality improvement in Scrum), Human-Computer Interaction (user-centered design, adaptive user interfaces), and he currently working with Quantum Computing. He acted as General chair for National and International Conference in Software Engineering Research and Innovation (CONISOFT).
Pramod Singh Rathore is currently working as an Assistant professor of Department of Computer and Communication Engineering, Manipal University Jaipur. With over 12 years of academic teaching experience, he has published more than 85 papers in reputable, peer-reviewed national and international journals, books, and conferences. He has co-authored and edited numerous books with well-known publishers such as Wiley, CRC Press, and USA. His research interests include NS2, computer networks, mining, and DBMS.
Priya Batta is currently working as an Associate Professor in Computer Science & Engineering Department in Chandigarh University, Mohali, India. She has total Academic teaching experience of more than 10 years. She is having more than 12 publications in reputed, peer reviewed National and International Journals, Conferences, books. Her research area includes- Artificial intelligence, Blockchain, IoT. She has been a member of various National and International professional societies in the field of engineering & research like IAENG (International Association of Engineers, Computer Science Teachers Association (CSTA).
Angeles Quezada- Doctorate in Sciences from the Autonomous University of Baja California, Master's degree in Computer Science from the Technological Institute of Tijuana, Bachelor's degree in Computer Science from the Technological Institute of Tapachula, Chiapas. She is currently a research professor in the Master's Degree in Information Technologies at the Tijuana Technological Institute, where she participates in research projects, teaches and directs thesis. She is the author of various scientific publications including indexed journals, book chapters and conference articles. She is a member of the National System of Researchers SNI level 1 and a member of the Mexican Thematic Network of Software Engineering (REDMIS).
