About us

The 2026 International Workshop on Decision Making and Optimization in Financial Technologies (DMO-FinTech 2026) focuses on the intersection of decision-making, optimization, and financial technologies. Topics cover cognitive processes in finance, mathematical optimization techniques, machine learning, data mining, and specific FinTech applications such as portfolio optimization, risk management, financial forecasting, and Large Language Models for finance.

Important Dates

Sun, Feb 22, 2026
Abstract registration deadline
Sun, Feb 22, 2026
Submission deadline

Call For Paper

Clustering
Decision Making and Optimization Methods (within FinTech Applications)
Group Decision Making and Negotiation Analysis
Multi-Criteria Decision Making
Multi-Objective Decision Making and Optimization
Linear/Non-Linear Optimization
Time-Series Decision Making and Optimization
Evolutionary Algorithms
Applied Optimization Technologies
Deep Learning, Transfer Learning, Reinforcement Learning
Human factor-based Decision Making, e.g., personality, trust, emotional analysis
Visualization and Interface Design to Assist Decision Making and Optimization
Data Mining and Machine Learning Tasks (within FinTech Applications)
Classification, Regressions
Time-Series Predictions
Association Rule Mining
Outlier Detection
Feature Engineering
FinTech Tasks and Applications
Business or Financial Analysis
Financial Portfolio Optimization
Risk Management and Predictions
Financial News or Reports
Sustainability/ESG in Financial Investments
Financial Large Language Models (FinLLM / FinNLP)
Scalability and Efficiency in Financial Services
Multilingual Challenges in Financial Services
Conversational Systems/ChatBots for Finance
Multi-Modal Financial Knowledge Discovery
Financial Time-Series Forecasting
Financial Fraud Detections
Customer Churn Predictions
Privacy-Preserving AI for Finance
Financial Information Retrieval and Recommender Systems

The workshop invites submissions of long papers (up to 12 pages), short papers (up to 8 pages), and industry papers (up to 8 pages). Submissions are subject to a double-blind review process.

Committee

Organizing committee

Yong Zheng

Illinois Institute of Technology, USA

David (Xuejun) Wang

Morningstar, Inc, USA