Computational intelligence is revolutionizing various sectors, with a notable impact on management and finance. The rigorous research conducted by experts in computational intelligence is particularly influential in the realm of financial analysis, giving rise to the rapidly expanding field of computational finance. This fusion of management principles and computational intelligence is addressing a myriad of real-world challenges, fostering innovative solutions. The CFBA conference serves as a pivotal platform for researchers to present their cutting-edge developments in management. It focuses on both system and application papers in management, prioritizing those with practical applications alongside traditional algorithmic research. This dual emphasis allows for a robust exchange of ideas, enabling researchers to showcase their latest practical innovations and engage in meaningful dialogue with their peers. CFBA-2025 aims to establish a premier forum that facilitates interactions among distinguished and emerging researchers, academicians, industry experts, and practical innovators globally.
This conference will serve as a hub for discussing the latest advancements and practical applications in management, promoting collaboration across diverse backgrounds. By initiating these interactions, CFBA-2025 seeks to propel the field of management forward, encouraging the sharing of knowledge and ideas to drive future advancements.
CFBA-2025 seeks to establish a leading platform for researchers to interact and share the latest practical applications and developments in management. The conference aims to bring together renowned and upcoming researchers, academicians, experts, and practical innovators from around the world to exchange knowledge and ideas on the latest developments in the field of management. The objective is to foster collaboration and promote the advancement of the field through the exchange of practical applications and developments. We are inviting original (un-published research contributions for the conference on the following key themes, but not limited to:
- Financial Analytics: Computational Intelligence for Financial Modeling, Machine Learning in Finance Big Data Finance and Economics, Neural Networks Modeling for Financial Application, Deep Learning Models in Finance, Probabilistic Modeling/Inference, Fuzzy Sets, Rough Sets, & Granular Computing for Financial Application, Intelligent Trading Agents, Trading Systems & Trading Room Simulation, Time Series Analysis, Non-linear Dynamics, Financial Data Mining, Evolutionary Computation for Financial Application, Digital Financial Reporting, Semantic Web and Linked Data, Asset Allocation Strategies , Algorithmic Trading, Trade Execution Systems, Financial Risk Management, Pricing of Structured Securities, Behavioral Finance, Evolutionary Finance, Portfolio Optimization, Arbitrage, Cryptocurrencies, Blockchain and Applications, Financial Prediction and Forecasting, Behavioral Competencies, Diversity, Equity, and Inclusion, Revenue Management, Risk and Credit Analytics, Robust Decision Making, Scenario and Sensitivity Analysis, AI-Driven Financial Forecasting, Reinforcement Learning for Trading Strategies, Natural Language Processing for Financial News Analysis, Explainable AI in Finance, AI in Fraud Detection and Prevention
- Human Resource Analytics: Employee Relations, Global HR, HR Analytics, Talent Acquisition Analytics, Workload Analytics, Talent Development Analytics, Succession Planning, Employee Engagement Analytics, Compensation Analytics, Performance Measurement, AI in Talent Management, Predictive Analytics for Employee Retention, Natural Language Processing in HR Communications, AI-Driven Recruitment Tools, AI for Employee Sentiment Analysis, Automation of Routine HR Tasks, AI in Workforce Planning, Diversity, Equity, and Inclusion Analytics
- Marketing Analytics: Marketing Automation, Customer Retention, Digital Marketing, Demand Generation, Social Media Marketing, Conversion Rate Optimization, Inbound and Outbound Marketing, Influencer Marketing, Marketing Analytics, Marketing Strategies and Innovations, Decision Making in Social Settings, Decision Making under Uncertainty, Decision Making with Multimedia, Decision Theory and Decision Sciences, Digital Market Design and Operation, Dimensionality Reduction, Electronic Commerce, Ethical Decision Making, Customer Relationship Management, Pricing Analytics, Retail Sales Analytics, AI in Customer Segmentation, Personalized Marketing with AI, Chatbots for Customer Service, Predictive Analytics for Market Trends, AI-Driven Content Creation, Sentiment Analysis in Marketing, Programmatic Advertising, Voice Search Optimization with AI
- Business Analytics: Fraud Analytics, Group Decision Making and Software, Healthcare Analytics, Informatics Theories and Applications, Intelligent Agents Technologies, Intelligent Organizations, Management Science and Operations Research, Mathematical Optimization, Multiple Criteria Decision Making, Network and Social-Graph Analysis, Optimization, Political Decision Making, Predictive Modeling, Prescriptive Methods, Public Decision Making, Security and Privacy, Sequential Decision Making, Simulation Methods and Applications, Statistical Decision Making, Supply Chain Analytics, Transportation Analytics, Web-Based Decision Making, AI in Predictive Maintenance, AI-Driven Business Intelligence, Natural Language Processing in Business Insights, Robotic Process Automation, AI for Supply Chain Optimization, AI in Customer Experience Management, Ethical AI in Business Analytics, AI for Cybersecurity
