Artificial Intelligence (AI) is rapidly transforming how complex economic systems are designed, managed, and optimized across industries and public sectors. This keynote explores the role of applied AI as a catalyst for economic resilience, operational efficiency, and data-driven innovation, with a focus on three high-impact domains: large-scale evacuation during natural disasters, airport operation optimization, and stock market prediction.

First, the talk examines AI-enabled decision support systems for massive evacuation scenarios, where real-time data analytics, machine learning, and optimization models improve emergency response efficiency, reduce economic losses, and enhance public safety under extreme uncertainty. Second, it highlights AI applications in airport operations, demonstrating how intelligent scheduling, demand forecasting, and resource allocation models can significantly improve throughput, reduce delays, lower operational costs, and support sustainable transportation infrastructure. Finally, the keynote discusses AI-driven approaches to stock market prediction, illustrating how advanced learning models extract insights from large-scale financial data to support risk management, investment strategies, and market efficiency.

By integrating these case studies, the keynote underscores how AI bridges technological innovation and economic value creation across crisis management, infrastructure systems, and financial markets. The presentation concludes with insights into the economic implications, ethical considerations, and future research directions of AI adoption, offering a holistic perspective on how intelligent systems can drive innovation and informed decision-making in an increasingly complex global economy.

Dr. Jiang Guo is a Professor of Computer Science at California State University, Los Angeles(CSULA). Prior to joining CSULA, he served as a Research Associate with the United States National Research Council. His research spans data science, machine learning, and software engineering, with sustained contributions to both the theoretical foundations and applied dimensions of computer science.

Dr. Guo has authored more than 80 peer-reviewed publications, including journal articles, conference papers, and invited works. He served as a Keynote Speaker at the 2025 IEEE 16th Annual Information Technology, Electronics, and Mobile Communication Conference, held at the University of California, Berkeley, USA. His research excellence has been recognized with multiple honors, including the Best Paper Award at the 11th International Conference on Software Engineering and Knowledge Engineering in Kaiserslautern, Germany.

An active leader in the research community, Dr. Guo serves as a guest editor for Advanced Machine Learning Analysis and Application in Data Science and as a reviewer for several high-impact journals. He has contributed extensively to the field through academic service, participating as a program committee member for more than 60 international conferences. These roles reflect his commitment to advancing rigorous scholarship and fostering global collaboration in computer science.