AI and Data Science for Digital Finance

Held in conjunction with the 6th ACM International Conference on AI in Finance (ICAIF 2025)

November 15th, 2025

Sheraton Towers Singapore 39 SCOTTS ROAD, Singapore 228230

Introduction

This workshop will be an in-person event at ICAIF 2025, taking place on November 15, 2025 in Singapore. The session will cover invited keynote talks, paper presentation, and a panel discussion. Advancements in AI and data science are fundamentally reshaping the digital finance landscape, offering unprecedented opportunities to enhance financial services, improve risk assessment, enable real-time fraud detection, and support regulatory compliance. The rapid growth of digital finance, including cryptocurrencies, DeFi, blockchain, and AI-driven financial services, has revolutionized the way individuals, companies, and societies interact with financial systems. In particular, machine learning, deep learning, and large language models have significant potential to transform how financial data is analyzed, processed, and utilized across domains such as blockchain analytics, decentralized finance, algorithmic trading, digital asset management, and financial risk modeling. This intersection of AI and digital finance enables powerful new capabilities such as real-time risk analytics and fraud prevention, personalized financial services at scale, enhanced regulatory compliance through RegTech and SupTech, improved market surveillance and anomaly detection, as well as greater financial inclusion and micro-lending opportunities. The workshop aims to bring together researchers, practitioners, industry experts, and policymakers interested in the development and application of AI and data science in digital finance. It will foster interdisciplinary dialogue on how these technologies are transforming traditional banking, payment systems, and investment management, and creating new paradigms in decentralized finance and digital currencies.

The workshop’s theme is AI and Data Science for Digital Finance: Transforming Markets, Assets, and Inclusion. We invite contributions that explore the development and application of AI, machine learning (ML), deep learning, large language models (LLMs), network analysis, and advanced data science methods in digital finance and financial services. Topics of interest include, but are not limited to:

Fraud Detection, Risk, and Compliance
Market Analysis and Investment
Blockchain and Digital Assets
Multimodal Financial Data Analysis
Financial Inclusion and Sustainability
Emerging Technologies and Challenges

Keynote Speakers

Ser-Huang Poon

University of Manchester

Dehua Shen

Nankai University

Huawei Huang

Sun Yat-Sen University

Organizing Committee

Stephen Chan

American University of Sharjah

Yuanyuan Zhang

University of Manchester

Jeffrey Chu

Renmin University of China

Yuzhou Chen

University of California, Riverside

Program Committee

Saralees Nadarajah (University of Manchester)
Xin Liao (University of Shanghai for Science and Technology)
Durga Chandrashekhar (National University of Singapore)
John Paul Thornber (Andrews Gwynne Private Wealth Management)
Qiurong Cui (Senior Data Scientist, Google )
Abdul Salam Jarrah (American University of Sharjah)
Shuai Zhang (China Construction Bank Corporation)
Youcheng Sun (Mohamed bin Zayed University of Artificial Intelligence)
Davide La Torre (SKEMA Business School)
James Griffin (American University of Sharjah)
Narjess Boubakri (Bank of Sharjah Chair in Finance; American University of Sharjah)
Yuqi Nie (Princeton University)

Contact

For any questions, please contact us at ai4df.icaif25@gmail.com

Sponsor

A huge thank you to the IMS for its funding and support!