Tuesday, October 29 (Capital Suite - 20)

2:30 - 3:20: Opening Remark and Keynote

• Keynote: Intelligent Crowd Engineering: Challenges and Opportunities, Baek-Young Choi, Ph.D., University of Missouri - Kansas City, USA

3: 20 - 4:30: Invited Talks Session 1

• 3:20-3:40 Diffusion Models in Gait Recognition, Zhu Li, Ph.D., University of Missouri - Kansas City, USA

• 3:40-4:00 A Novel Approach for Predicting Mobility in Crowd Scenes, Sejun Song, Ph.D., Augusta University, USA

4:00 - 4:30: Coffee Break

4:30 - 5:10: Invited Talks Session 2

• 4:30-4:50 AI-Powered Smart Solutions for Crowd Management: The Future of Intelligent Crowd Engineering, Khalid Almalki, Ph.D. Saudi Electronic University, Saudi Arabia 

• 4:50-5:10 Leveraging Vision-Language Models (VLMs) for Intelligent Crowd Engineering: Enhancing Real-time Decision-Making and Behavioral Insights, Muhammad Mohzary, Ph.D. Jazan University, Saudi Arabia

5:10 - 6:00: Panel Discussion (Presenters)

Future of Crowd Safety: Integrating AI, IoT, and Social Modeling for Predictive and Preventive Public Safety

Moderator: Muhammad Mohzary 

Addressed topics include

• How advanced AI and IoT technologies can predict crowd-related disasters and prevent incidents like stampedes

• The use of social modeling and real-time data for better crowd behavior forecasting and management

• Challenges in deploying scalable and accurate real-time systems for large events

• Ethical and privacy concerns in using AI for crowd surveillance and disease tracking