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Big Data, Artificial Intelligence, and Machine Learning in Finance

Department of Mathematics, Statistics and Physics, Qatar University, Qatar;
Mohamed Chaouch is an Associate Professor of Statistics at Qatar University. He earned his Ph.D. in Statistics from the University of Dijon, France. His research focuses on statistical learning for massive and streaming data, functional time series analysis, copula-based modeling, and financial econometrics. He has published in leading journals such as Journal of Multivariate Analysis, Annals of the Institute of Statistical Mathematics, and Annals of Operations Research. He has presented invited talks at major conferences, including the International Symposium on Nonparametric Statistics and the ERCIM Conference on Computational and Methodological Statistics, and serves on editorial and scientific committees. With Prof. Thanasis Stengos, he’s currently Guest Editor of the Special Issue "Machine Learning Based Risk Management in Finance and Insurance", in JRFM.
Department of International Business and Economics, Faculty of International Business and Economics, Bucharest University of Economic Studies, Bucharest, Romania;
Alexandra Horobet is a professor at the Bucharest University of Economic Studies in Romania and a visiting professor at Excelia Business School in France. She holds a PhD in International Finance and an MA in European Transactions. Her research interests include corporate performance analysis and international finance and investments. More recently, she began working on financial and non-financial corporations’ engagement in sustainable practices and its impact on performance. Her works are published in top-tier journals, and she is Associate editor of the Journal of Risk Finance and the Review of Accounting and Finance.
College of Business, Stony Brook University, Stony Brook, USA;
Dr. Young Shin Aaron Kim earned his Ph.D. from Sogang University in Korea in 2005 and completed his Habilitation at Karlsruhe Institute of Technology in Germany in 2011. His research focuses on mathematical modeling in finance, particularly in areas such as fat-tails, asymmetric dependence, volatility clustering, and long-range dependence. He has contributed extensively to financial risk management, portfolio management, and derivative pricing. Dr. Kim has published over 50 peer-reviewed papers and holds one patent. An expert programmer, he shares his custom-developed libraries and tools. Aaron is also studying AI in finance to enhance quantitative and data-driven financial analysis.
The Claude Littner Business School, University of West London, London, UK;
Azman Hashim International Business School, Universiti Teknologi Malaysia, Kuala Lumpur, Malaysia;
Dr. Rohaida Basiruddin is an Associate Professor at Azman Hashim International Business School, Universiti Teknologi Malaysia (UTM). She holds a PhD in Accounting and Finance from Durham University, UK. Her research focuses on earnings management, financial reporting quality, audit practices, and corporate governance. She has published widely in international journals and has led several research and consultancy projects in the field of financial integrity and business ethics. Dr. Rohaida is actively involved in academic leadership, curriculum development, and professional training. Her work is dedicated to enhancing transparency, accountability, and ethical standards in financial reporting and assurance.
National School of Business and Management - Meknes (ENCG-Meknes), Moulay Ismail University, Meknes, Morocco;
Dr. Issam Benhayoun is Associate Professor of Accounting and Finance at ENCG-Meknes, Moulay Ismail University, Morocco, and part-time faculty at Al Akhawayn University. His research focuses on IFRS, IFRS for SMEs, ISSB standards, and the integration of AI and ML in auditing and sustainability reporting. A former Senior Executive and Head of Management Control, he brings practical expertise to his academic work. He also consults on IFRS adoption and financial management. Dr. Benhayoun’s work bridges academia and industry, contributing to both theoretical development and real-world application in accounting and finance.
Department of Finance and Economics, Woodbury School of Business, Utah Valley University, Orem, USA;
Dr. Leo H. Chan is an associate professor of finance at the Woodbury School of Business at Utah Valley University. He has been teaching value-style investing for over 20 years. He has published over 30 articles in referred journals related to options, futures, international financial markets, and valuation. His article "Using Essays of Warren Buffett in the Classroom" is one of the most widely read paper on Warren Buffett's investment philosophy. He is also a regular contributor to financial education sites such as Nerd Wallet, Wallet Hub, and Credit Monkey.
Faculty of Business, Management and Economics, University of Latvia, Latvia;
Finance and Accounting,Department of Public Administration,Panteion University , Athens, Greece;
Dr. Nikos Daskalakis is Associate Professor of Finance and Accounting at the Department of Public Administration, Panteion University, Athens. A seasoned researcher, he has published widely in top academic journals, amassing over 2,000 citations. His current interests include crowdfunding, blockchain in finance, and SME access to capital. He co-authored An Introduction to Cryptocurrencies (Routledge, 2020) and FinTech and Cryptoeconomy (Propompos, 2023). Dr. Daskalakis has advised major European financial bodies and currently serves on the SMSG-ESMA. He has also contributed to the IRSG-EIOPA, BSG-EBA, FSUG-EC, and ECSF-EC.
On behalf of the chairs of IOCRF 2025, we are pleased to announce the winners of the Best Oral Presentation Awards and Best Poster Award.
The Best Oral Presentation Awards have been awarded to
- sciforum-119257, "A Quantum Leap in Asset Pricing:Explaining Anomalous Returns", James Kolari, Jianhua Huang, Wei Liu, Huiling Liao.
- sciforum-120644, "AI-Driven Policy Effects on Stock Market Anomalies: Evidence from China's Digital Finance Era", Keyao WANG.
- sciforum-115626, "Identifying financial statement frauds via machine learning: A comparative analysis based on Chinese listed companies", Yue Chen, Guanming He.
- sciforum-114357, "Leveraging Federated Learning for Enhancing Anti-Fraud Systems in Fintech: Opportunities and Challenges", Leo S.F. Lin.
- sciforum-116980, "Connectedness between Islamic Cryptocurrencies and Green Assets: Deep Insights from Extreme Events", Rija Anwar, Syed Raza.
The Best Poster Award has been awarded to
- sciforum-119834, "Comparing the predictive abilities of artificial intelligence and traditional finance models", Tianrong Zhuang.