Julie Ivy

Professor

  • Phone: 919.513.1683
  • Office: 4347 Fitts-Woolard Hall

Julie Simmons Ivy is a professor in the Edward P. Fitts Department of Industrial and Systems Engineering and Fitts Faculty Fellow in Health Systems Engineering. She previously spent several years on the faculty of the Stephen M. Ross School of Business at the University of Michigan. She received her B.S. and Ph.D. in Industrial and Operations Engineering at the University of Michigan. She also received her M.S. in Industrial and Systems Engineering with a focus on Operations Research at Georgia Tech. She is a President of the Health Systems Engineering Alliance (HSEA) Board of Directors. She is an active member of the Institute of Operations Research and Management Science (INFORMS), Dr. Ivy served as the 2007 Chair (President) of the INFORMS Health Applications Society and the 2012 – 13 President for the INFORMS Minority Issues Forum. Her research interests are mathematical modeling of stochastic dynamic systems with an emphasis on statistics and decision analysis as applied to health care, public health, and humanitarian logistics. This research has made an impact on how researchers and practitioners address complex societal issues, such as health disparities, public health preparedness, hunger relief, student performance, and personalized medical decision-making and has been funded by CDC, NSF, Clinton Health Access Initiative, and the UNC Cancer Center.

Research Interests

Dr. Ivy’s primary research interests are in the mathematical modeling of stochastic dynamic systems with emphasis on statistics and decision analysis as applied to health care, manufacturing, and service environments. The focus of her research is decision making under conditions of uncertainty with the objective of improving the decision quality. Dr. Ivy’s research program seeks to develop novel concepts of maintenance and monitoring policies and associated scientific theories, and apply them specifically to two important application domains: industrial and medical decision making. She has extensive background in stochastic modeling, in particular the application of partially observable Markov decision processes (POMDPs) and Markov decision processes (MDPs). Dr. Ivy’s medical decision making research relates to studying the cost-effectiveness of mammography screening, dynamic breast cancer screening policy development, false positive prediction as a function of breast cancer screening policy, the impact of comorbidity on breast cancer patient outcomes modeling birth delivery choice as a function of long term consequences such as pelvic floor dysfunction, patient-centered pharmaceutical inventory management, and public health preparedness. In addition to her research in medical decision making, Dr. Ivy also works in the area of humanitarian logistics particularly as it relates to hunger relief and equitable food distribution. Her research has been funded by the NSF and the Centers for Disease Control.

 

Education

DegreeProgramSchoolYear
Ph.D.DoctorateUniversity of Michigan1998
MSUniversity of MichiganGeorgia Institute of Technology1992
BSBachelor of ScienceUniversity of Michigan1991
 

Honors and Awards

  • 2022 | Fellow, Insitute for Operations Research and the Management Sciences
  • 2022 | Fellow, BRIDGES Academic Leadership for Women Program
  • 2020 | WORMS Award for the Advancement of Women in OR/MS, INFORMS
  • 2020 | Alumni Association Outstanding Research Award, NC State University
  • 2016 | Moving Spirit Award, INFORMS
  • 2012 | C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University

 

Discover more about Julie Ivy

 

Publications

Checklists in Healthcare: Operational Improvement of Standards using Safety Engineering-Project CHOISSE-A framework for evaluating the effects of checklists on surgical team culture
Perera, G. N., Hey, L. A., Chen, K. B., Morello, M. J., McConnell, B. M., & Ivy, J. S. (2022), APPLIED ERGONOMICS. https://doi.org/10.1016/j.apergo.2022.103786
Optimizing the First Response to Sepsis: An Electronic Health Record-Based Markov Decision Process Model
Rosenstrom, E., Meshkinfam, S., Ivy, J. S., Goodarzi, S. H., Capan, M., Huddleston, J., & Romero-Brufau, S. (2022, July 22), DECISION ANALYSIS. https://doi.org/10.1287/deca.2022.0455
The SMART Framework: Selection of Machine Learning Algorithms With ReplicaTions-A Case Study on the Microvascular Complications of Diabetes
Swan, B. P., Mayorga, M. E., & Ivy, J. S. (2022), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. https://doi.org/10.1109/JBHI.2021.3094777
Association of Simulated COVID-19 Vaccination and Nonpharmaceutical Interventions With Infections, Hospitalizations, and Mortality
Patel, M. D., Rosenstrom, E., Ivy, J. S., Mayorga, M. E., Keskinocak, P., Boyce, R. M., … Swann, J. L. (2021), JAMA NETWORK OPEN. https://doi.org/10.1001/jamanetworkopen.2021.10782
Data to Donations: Towards In-Kind Food Donation Prediction across Two Coasts
Sharma, E., Davis, L., Ivy, J., & Chi, M. (2021), 2021 IEEE GLOBAL HUMANITARIAN TECHNOLOGY CONFERENCE (GHTC). https://doi.org/10.1109/GHTC53159.2021.9612484
Elicitation of Preference among Multiple Criteria in Food Distribution by Food Banks
Hasnain, T., Sengul Orgut, I., & Ivy, J. S. (2021, October 22), PRODUCTION AND OPERATIONS MANAGEMENT. https://doi.org/10.1111/poms.13551
Modeling the role of efficiency for the equitable and effective distribution of donated food
Islam, M. H., & Ivy, J. S. (2021, June 16), OR SPECTRUM. https://doi.org/10.1007/s00291-021-00634-z
Proximity of Cellular and Physiological Response Failures in Sepsis
Jazayeri, A., Capan, M., Ivy, J., Arnold, R., & Yang, C. C. (2021), IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS. https://doi.org/10.1109/JBHI.2021.3098428
EVALUATING DIABETIC RETINOPATHY SCREENING INTERVENTIONS IN A MICROSIMULATION MODEL
Swan, B., Nambiar, S., Koutouan, P., Mayorga, M. E., Ivy, J., & Fransen, S. (2020), 2020 WINTER SIMULATION CONFERENCE (WSC). https://doi.org/10.1109/WSC48552.2020.9384074
Simulation model of the relationship between cesarean section rates and labor duration
Hicklin, K. T., Ivy, J. S., Wilson, J. R., Payton, F. C., Viswanathan, M., & Myers, E. R. (2019), HEALTH CARE MANAGEMENT SCIENCE, 22(4), 635–657. https://doi.org/10.1007/s10729-018-9449-3

View all publications via NC State Libraries

Julie Ivy