Dr. Changqing Cheng

PhD., Oklahoma State University

Assistant Professor

Core Faculty Member, Center for Collective Dynamics 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    


Voice: (607) 777-5029    

Honors and Awards

  • BU Excellence in Research Award (Y. Che, 2021)

  • Honorable Mention, Binghamton University Research Day Poster Competition (Y. Che, 2018)

  • INFORMS Data Mining and Decision Analytics Best Paper Award (2017)


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, diagnosis and prognosis   


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

  • 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.        [Code]

  • 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. 

  • 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).

  • 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.        [Code]

  • 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).

  • A. Shamsan and C. Cheng, "Intrinsic multiplex graph model detects incipient process drift in ultraprecision manufacturing," Journal of Manufacturing Systems, Vol. 50, 81-86, 2019.

  • Y. Che and C. Cheng, "Uncertainty quantification in stability analysis of chaotic systems with discrete delays," Chaos, Solitons & Fractals, Vol. 116, 208-214, 2018.



  • ISE 363 Quality Engineering

  • SSIE 505 Applied Probability and Statistics

  • SSIE 561 Quality Assurance for Engineer

  • SSIE 643 Advanced Engineering Analytics



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

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) 

  • 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

  • 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)