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Dr. Changqing Cheng

Associate Professor

Core Faculty Member, Binghamton Center of Complex Systems (CoCo)

Department of Systems Science and Industrial Engineering   

State University of New York at Binghamton    

P.O. Box 6000    

Binghamton, New York 13902    

Office: EB T8    

Email: ccheng@binghamton.edu    

Voice: (607) 777-5029    

Education Background

  • PhD, Industrial Engineering and Management, Oklahoma State University, Stillwater, OK 

  • BS & MS, Engineering Mechanics, Dalian University of Technology, China

​Honors and Awards

  • 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

Research

Research focus

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 and the resulting chaotic patterns, recurrence and self-similarity behaviors

  • Manufacturing: optimal design, uncertainty quantification, sensing data analytics for change / anomaly detection

  • Healthcare: data fusion, time series analysis, epidemic modeling    

Publications​

  • Y. Shu, T. Smith, S. Arunachalam, E. Tolkacheva, and C. Cheng, "Image-decomposition-enhanced deep learning for detection of rotor cores in cardiac fibrillation," IEEE Transactions on Biomedical Engineering, 2023. [Link][Video 1] [Video 2] 

  • J. Wan, Y. Che, Z. Wang, and C. Cheng, “Uncertainty quantification and optimal robust design for machining operations,” Journal of Computing and Information Science in Engineering, Vol. 23, 011005, 2023. [Link]

  • J. Wan, G. Ichinose, M. Small, H. Sayama, Y. Moreno, and C. Cheng, “Multilayer networks with higher-order interaction reveal the impact of collective behavior on epidemic dynamics,” Chaos, Solitons & Fractals, Vol. 164, 112735, 2022. [Link]

  • Y. Che, Z. Guo and C. Cheng, "Generalized polynomial chaos-informed efficient stochastic Kriging," Journal of Computational Physics, Vol. 445, 110598, 2021. [Link]

  • Y. Che and C. Cheng, "Active learning and relevance vector machine in efficient estimate of basin stability for large-scale dynamic networks," Chaos, Vol. 31, 053129, 2021. [Link] 

  • Y. Che, C. Cheng, Z. Liu and Z. Zhang, "Fast basin stability estimation for dynamic systems under large perturbations with sequential support vector machine," Physica D: Nonlinear Phenomena, Vol. 405, 132381, 2020. [Link]

  • F. Imani, C. Cheng, R. Chen and H. Yang, "Nested Gaussian process modeling and imputation of high-dimensional incomplete data under uncertainty," IISE Transactions on Healthcare Systems Engineering, Vol. 9, 315-326, 2019 (Featured Article in ISE Magazine). [Link]

  • Y. Che, J. Liu and C. Cheng, "Multi-fidelity modeling in sequential design for stability identification in dynamic time-delay systems," Chaos, Vol. 29, 093105, 2019. [Link] 

  • C. Cheng and H. Yang, "Multi-scale graph modeling and analysis of locomotion dynamics towards sensor-based dementia assessment," IISE Transactions on Healthcare Systems Engineering, Vol. 9, 95-102, 2019 (Featured Article in ISE Magazine). [Link] 

Code and Data for Recent Publications

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Teaching

  • ISE 363 Quality Engineering

  • SSIE 505 Applied Probability and Statistics

  • SSIE 561 Quality Assurance for Engineer

  • SSIE 643 Advanced Engineering Analytics

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Group​

PhD students

  • Daniel Cline

  • Jinming Wan

  • Yu Shu, Dissertation: Spatiotemporal Regularization and Deep Learning for Detection of Cardiac Fibrillation Rotor Core in Reconstruction of Epicardial Potential, Summer 2023.

  • Yiming Che, Dissertation: Nonlinear Dynamics and Optimal Learning Towards Quality and Reliability Assurance for Complex Dynamical Systems, Spring 2023.

  • Abdulrahman Shamsan, Dissertation: Real-Time Monitoring and Change Detection in Complex Dynamical Systems Using Nonlinear and Nonstationary Time Series, Spring 2021.  

  • Oluwabusayo Aworunse, Dissertation: Decomposition-driven Fast Network Modeling for Image-Based Production Process Monitoring, Summer 2020 (co-advised with Dr. Jia Deng).  

Master students with thesis

  • Aayushi Shaileshkumar Khatri, Thesis: Resilience Optimization and Cost Reduction in Printed Circuit Board Manufacturing: A Comprehensive Approach to Material Planning, Summer 2023. 

  • Rathnadeep Kammisetty, Thesis: Characterization and Optimization for Wave Soldering Process in Manufacturing of Class II Printed Circuit Boards, Spring 2023.

  • Merlin Wang, Thesis: Deep Reinforcement Learning in Optimal Policy Design for Maintenance and Outsourcing of Manufacturing Systems, Spring 2023.

  • Murali Krishna Tummalapalli, Thesis: Reinforcement Learning for Optimal Energy Control in Data Center Operations, Fall 2022.

  • Ziqi Guo, Thesis: Stochastic Kriging for Sequential Design of Time-delayed Systems under Uncertainty, Spring 2019.

  • Hao Wang, Thesis: Analog Ensemble Modeling in Energy Forecasting, Spring 2019.

  • Jingxi He, Thesis: Multi-Task Learning in Optimization of Vehicle Routing Problem, Summer 2018.  

  • Jiachen Liu, Thesis: Sequential Design in Quantification of Stability in Machining Processes: Fusion of Physical and Statistical Models, Summer 2018.

  • Yiming Che, Thesis: Stability Analysis of Delay-induced Nonlinear Dynamics under Uncertainty, Spring 2018.

Honors / Awards of students under my supervision

  • Nava Sherman, Binghamton University Projects for New Undergraduate Researchers Award, 2024

  • Nava Sherman, Mini Semester Program at Brookhaven National Laboratory, 2024

  • Yiming Che, Excellence in Systems Science Research Award, Binghamton University, 2023

  • Rathnadeep Kammisetty, Third Place in Fox Game: Kaizen Implementation for Semiconductor Manufacturing, 2023

  • Jinming Wan, First Place in COVID Information Commons Student Paper Challenge, 2022

  • Jinming Wan, Travel Award to USACM Thematic Conference on Uncertainty Quantification for Machine Learning Integrated Physics Modeling (UQ-MLIP), 2022

  • Yu Shu and Yiming Che, IISE Mobile App Competition Finalist, 2021

  • Yiming Che, BU Excellence in Research Award, 2021

  • Yiming Che, 2nd place, Health Systems Track Best Student Paper Award, IISE 2019

  • Yiming Che, Honorable Mention, Binghamton University Research Day Poster Competition, 2018

Activity 

Referee

IISE Transactions, Annals of Operations Research, ASME Journal of Manufacturing Science and Engineering, Journal of Manufacturing Systems, IEEE Transactions on Biomedical Engineering, IEEE Transactions on Automation Science and Engineering, IEEE Robotics and Automation Letters, European Journal of Operational Research, IEEE Journal of Biomedical and Health Informatics, Structural and Multidisciplinary Optimization​

Editorial

Professional Service

  • Education Chair, Northeast Regional Conference on Complex Systems (2021) 

  • Program Committee, International Conference on Complex Systems (2018, 2020)

  • Coordinating Chair, INFORMS Data Mining Best Paper Competition (2019) 

  • Faculty Advisor, American Society of Quality Binghamton Student Chapter, 2019 - present

  • Organizing Committee and Poster Session Chair, Northeast Regional Conference on Complex Systems (2018, 2019) 

  • Board Director (2017 - 2019) and President (2020 - 2021), IISE Data Analytics and Information Systems

  • Watson College Library Committee, Binghamton University, 2018 - 2023

  • Council Member, INFORMS Data Mining Section (2018 - 2020)

  • Track Chair, Data Analytics and Information Systems Track, IISE Annual Conference (2018, 2019)

  • Steering Committee, Binghamton University Data Science Transdisciplinary Area of Excellence (2017 - present) 

Professional Affiliation

  • Institute of Industrial and Systems Engineers (IISE)

  • Institute of Electrical and Electronics Engineers (IEEE)

  • Institute for Operations Research and the Management Sciences (INFORMS)

  • Society of Industrial and Applied Mathematics (SIAM)

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