Chen Kan

Dr. Chen Kan is an Associate Professor in the Department of Industrial, Manufacturing, and Systems Engineering at The University of Texas at Arlington. His research integrates data science with engineering for advanced manufacturing and smart health applications. He is affiliated with the Center on Stochastic Modeling, Optimization, and Statistics (COSMOS) and leads the Sensing, Analytics, and Intelligence Laboratory (SAIL).

• PhD in Industrial Engineering (2018), Penn State University
• MS in Industrial Engineering (2012), University of South Florida
• BS in Electrical Engineering (2010), China University of Mining and Technology

Dr. Kan’s research focuses on sensor-based modeling, anomaly detection, and machine learning for manufacturing systems and biomedical applications. His work spans additive manufacturing, metamaterials, ECG signal analysis, and IoT-enabled smart systems. Recent projects include blockchain-integrated security for cyber-physical manufacturing and AI-driven driver readiness monitoring.

His publications emphasize 3D point cloud analytics, dynamic network modeling, and deep learning applications in manufacturing and healthcare. Key trends include cybersecurity in AM (2023-2025), metamaterials optimization (2022-2024), and ECG anomaly detection (2012-2023).

Scientific awards include:

• SME Susan Smyth Outstanding Young Manufacturing Engineer Award (2024)
• NSF CAREER Award (2025)
• NSF CPS Program Travel Support (2024)

Dr. Kan has advised five PhD students and secured over $325k in federal grants, including NSF and USDOT funding. His lab SAIL develops methodologies for real-time process monitoring and optimization across manufacturing and healthcare domains.