Faculty Directory

Shengfan Zhang

Shengfan Zhang

Assistant Professor

College of Engineering

(INEG)-Industrial Engineering

Phone: 479-575-3571

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Mathematical modeling of stochastic systems with an emphasis on statistical and decision analysis as applied to health care and other service environments.

Methodology: stochastic processes, (partially observable) Markov decision process, simulation, statistical modeling and machine learning

Applications: medical decision making, health policy and disparities research, process improvement in health care, inventory analysis, transportation

  • Engineering Applications of Probability Theory and Stochastic Processes
  • Decision Analysis in Health Care
  • Quality Engineering and Management

Undergraduate Courses
INEG2333 Applied Probability and Statistics for Engineers II (required)
INEG4323 Quality Engineering and Management (tech elective)

Graduate Courses
INEG5313 Engineering Applications of Probability and Stochastic Processes
INEG514V Decision Modeling in Healthcare
INEG514V Advanced Stochastic Processes

  • B.M., Management Science, Fudan University
  • M.I.E., Industrial Engineering, North Carolina State University
  • Ph.D., Industrial Engineering, North Carolina State University

Referred Journal Articles

  1. Madadi, M., Heydari, M., Zhang, S., Pohl, E., Rainwater, C., & William, D. (2018). Analyzing Overdiagnosis Risk and Cost in Cancer Screening: A Case of Screening Mammography for Breast Cancer. IISE Transactions on Healthcare Systems Engineering, 8(1), 2-20.
    This Paper is featured in the ISE Magazine April 2018 issue.
     
  2. Wang, F., Zhang, S., & Henderson, L.M. (2018). Adaptive Decision-Making of Breast Cancer Mammography Screening: A Heuristic-Based Regression Model. Omega, 76, 70-84.
  3. Parsa, P., Rossetti, M., Zhang, S., & Pohl, E.A. (2017). Quantifying the Benefits of Continuous Replenishment Program for Partner Selection. International Journal of Production Economics, 187, 229-245.
  4. Capan, M., Khojandi, A., Denton, B.,  Williams, K., Ayer, T., Chhatwal, J., Kurt, M., Lobo, J.M., Roberts, M., Zaric, G., Zhang, S., & Schwartz, J.S. (2017). From Data to Improved Decisions: Operations Research in Healthcare Delivery. Medical Decision Making, 37(8), 849-859.
  5. Buyurgan, N., Zhang, S., & Okyay, H.K. (2017). A Methodical Analysis of Inventory Discrepancy under Conditions of Uncertainty in Supply Chain Management. To appear in International Journal of Logistics Systems and Management.
  6. Gedik, R., Zhang, S., & Rainwater C.E. (2017). Strategic level proton therapy patient admission planning: a Markov decision process modeling approach. Health Care Management Science, 20(2), 286-302.  
  7. Madadi, M., Zhang, S., & Henderson, L.M. (2015). Evaluation of breast cancer mammography screening policies considering adherence behavior. European Journal of Operational Research, 247(2), 630-640.
  8. Zhang, S., Ivy, J.S., Wilson, J.R., & Yankaskas, B.C. (2014). Competing risks analysis in mortality estimation for breast cancer patients from independent risk groups. Health Care Management Science, 17(3), 259-269.
  9. Nagarajan, R., Zhang, S., Payton, F.C., & Massarweh, S. (2014). Inferring breast cancer concomitant diagnosis and comorbidities from the nationwide inpatient sample using social network analysis. Health Systems, 3(2), 136-142.
  10. Madadi, M., Zhang, S., Yeary, K.H.K., & Henderson, L.M. (2014). Analyzing the factors associated with women’s attitudes and behaviors toward screening mammography using design-based logistic regression. Breast Cancer Research and Treatment, 144(1), 193-204.
  11. Zhang, S., Payton, F.C., & Ivy, J.S. (2013). Characterizing the impact of mental disorders on HIV patient length of stay and total charges. IIE Transactions on Healthcare Systems Engineering, 3(3), 139-146.
    This Paper is featured in the IE Magazine October 2013 issue.
     
  12. Zhang, S., Ivy, J.S., Diehl, K.M., & Yankaskas, B.C. (2013). The association of breast density with breast cancer mortality in African American and white women screened in community practice. Breast Cancer Research and Treatment, 137(1), 273-283.
  13. Zhang, S., Ivy, J.S., Payton, F.C., & Diehl, K.M. (2010). Modeling the impact of comorbidity on breast cancer patient outcomes. Health Care Management Science, 13(2), 137-54.

Books

  1. Kong, N., & Zhang, S. (Eds.) (2018) Decision Analytics and Optimization in Disease Prevention and Treatment. John Wiley & Sons, New York.

Book Chapters

  1. Madadi M., & Zhang S. (2018) Chapter 10: Cost-Effectiveness Analysis of Breast Cancer Mammography Screening Policies Considering Uncertainty in Women’s Adherence. In Kong, N., & Zhang, S. (Eds.), Decision Analytics and Optimization in Disease Prevention and Treatment (pp. 223-240). John Wiley & Sons, New York.
  2. Torres, S.A.V, Zhang, S., & Akhavan-Tabatabaei, R. (2015). Optimal Decision Making for Breast Cancer Treatment in the Presence of Cancer Regression and Type II Error in Mammography Results. In Analysis, Modelling, Optimization, and Numerical Techniques, Springer Proceedings in Mathematics & Statistics (pp. 185-204). Springer, Cham.

Peer-Reviewed Conference Papers

  1. Parsa, P., Rossetti, M., Zhang, S. Multi Stop Truckload Planning. In Proceedings of the 2017 Industrial and Systems Engineering Conference, Pittsburgh, PA 2017.
  2. Parsa, P., Rossetti, M., Zhang, S., and Pohl, E.A. A Multi-Objective Decision Analysis for Supply Chain Collaboration Programs. In Proceedings of the 2016 Annual Meeting of the Decision Science Institute, Austin, TX, November 2016.
  3. Lee, H., Zhang, S., White, J.A. The Dynamic Block Stacking Problem with Random Demand. In Proceedings of the 2016 Industrial and Systems Engineering Research Conference, Anaheim, CA, May 2016.
    Winner of the 2016 ISERC Facility Logistics Track Best Paper
     
  4. Madadi, M., Holmer R., Zhang, S., Nachtmann, H. Dynamic Decision Modeling for Inland Waterway Disruptions. In Proceedings of the 2016 Industrial and Systems Engineering Research Conference, Anaheim, CA, May 2016.
  5. Pham, A., Zhang, S. Estimation of Natural History Parameters for Low-Grade Glioma Patients. In Proceedings of the 2016 Industrial and Systems Engineering Research Conference, Anaheim, CA, May 2016.
  6. Dollar, E., Zhang, S. Exploring Hospitalization Characteristics for Heart Disease Patients With Diabetes. In Proceedings of the 2015 Industrial and Systems Engineering Research Conference, Nashville, TN, May 2015.
    Ethan Dollar received the NSF Travel Grant.
     
  7. Wang, F., Zhang, S., and Yang, J. Prediction of Depressive Mood of College Students: an Elastic-Net Regularized Model. In Proceedings of the 2014 INFORMS Workshop on Data Mining and Analytics, San Francisco, CA, November 2014.
  8. Lamb, K., Zhang, S., and Jackson, N. Association between Comorbidities and Hospital Resource Usage for Diabetes Inpatients. In Proceedings of the 2014 Industrial and Systems Engineering Research Conference, Montreal, Canada, 2014.
  9. Wang, F., Zhang, S. Optimizing Breast Cancer Mammography Screening Schedules Using a Regression-Based Model. In Proceedings of the 8th INFORMS Workshop on Data Mining and Health Informatics, Minneapolis, MN, October 2013.
  10. Madadi, M., and Zhang, S. Factors Associated with Women’s Attitudes and Behaviors toward Screening Mammography Using Design-Based Logistic Regression. In Proceedings of the 8th INFORMS Workshop on Data Mining and Health Informatics, Minneapolis, MN, October 2013.
  11. Madadi, M., and Zhang, S. Cost Evaluation of Mammography Screening Policies Considering Imperfect Adherence. In Proceedings of the 2013 Industrial and Systems Engineering Research Conference, San Juan, Puerto Rico, 2013.
  12. Zhang, S., and Ivy, J.S. Analytic Modeling of Breast Cancer Spontaneous Regression. In Proceedings of the 2012 Industrial and Systems Research Conference, Orlando, FL, 2012.
  13. Zhang, S., Payton, F., and Ivy, J. Understanding the Role of Mental Disorders on HIV Patient Outcomes. In Proceedings of the 6th INFORMS Workshop on Data Mining and Health Informatics, Charlotte, NC, November 2011.

2017    Volunteer Service Award, INFORMS
2016    Best Paper Award, Industrial and Systems Engineering Research
             Conference, Facility Logistics Track, Co-author with Hueon Lee
            and John A. White
2016    Outstanding Service to Students Award, College of Engineering,
             University of Arkansas
2014    2nd Place Prize, INFORMS Interactive Sessions Competition,
             Coauthor with graduate student Mahboubeh Madadi
2014    Outstanding Faculty Advisor, Department of Industrial
             Engineering, University of Arkansas