معرفی
Changqing Cheng is an Associate Professor in the Department of Systems Science and Industrial Engineering at the State University of New York at Binghamton, where he also serves as a Core Faculty Member at the Binghamton Center of Complex Systems (CoCo). His primary research focuses on sensing and data-driven modeling, simulation and analytics for process monitoring, quality control and performance optimization of complex systems, with special interests in nonlinear dynamics, chaotic patterns, and recurrence behaviors. He applies these methodologies across manufacturing (optimal design, uncertainty quantification) and healthcare (data fusion, time series analysis, epidemic modeling).
- PhD, Industrial Engineering and Management, Oklahoma State University
- BS & MS, Engineering Mechanics, Dalian University of Technology, China
Professor Cheng's research integrates advanced computational techniques with practical applications across multiple domains. His work on nonlinear dynamics and complex systems has led to innovative approaches for process monitoring and anomaly detection in manufacturing, as well as novel methods for healthcare analytics and epidemic modeling. His publications demonstrate a consistent pattern of high-impact research in top journals such as IEEE Transactions, Chaos, and Journal of Computational Physics, with a strong emphasis on methodological innovation and practical application.
His research group has produced significant work in uncertainty quantification, deep learning applications in biomedical engineering, and network science applications to epidemic dynamics. The publications reveal a strong interdisciplinary approach that bridges engineering, computer science, and healthcare applications. Professor Cheng's work on basin stability estimation for complex systems and decomposition-enhanced deep learning for cardiac fibrillation detection represents cutting-edge contributions to their respective fields.
- INFORMS Data Mining and Decision Analytics Best Paper Award (2017)
- OSU Outstanding Doctoral Student Award
- OSU Distinguished Graduate Fellowship
- Material Handling Education Foundation Scholarship
- CIEADH Best Poster Award, IIE Research Conference Doctoral Colloquium
Professor Cheng actively mentors PhD and Master's students, with several receiving prestigious awards including BU Distinguished Dissertation Award (2024) and Excellence in Systems Science Research Award. He serves as Associate Editor for IISE Transactions on Healthcare Systems Engineering and has received significant research funding supporting his students' work. His leadership extends to the Binghamton University Data Science Transdisciplinary Area of Excellence and the Northeast Regional Conference on Complex Systems where he has served as Program Chair for 2025. His lab maintains an active GitHub presence with code repositories for many of his publications.
