Julie Ivy

Professor

Fitts Faculty Fellow

Julie Ivy is a Professor at North Carolina State University in the Edward P. Fitts Department of Industrial and Systems Engineering and a 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. Dr. Ivy is actively involved in INFORMS, she is the current president of the Minority Issues Forum and is a past president of the Health Applications Section of INFORMS. She has co-authored more than forty journal articles, working papers, and conference proceedings.

Education

Ph.D. 1998

Doctorate

University of Michigan

MS 1992

Master of Science

Georgia Institute of Technology

BS 1991

Bachelor of Science

University of Michigan

Research Description

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.

Honors and Awards

  • C. A. Anderson Outstanding Faculty Award, ISE Department at NC State University, 2012
  • Moving Spirit Award, INFORMS, 2016

Publications

Diabetes and the hospitalized patient: A cluster analytic framework for characterizing the role of sex, race and comorbidity from 2006 to 2011
Nataraj, Nisha and Ivy, Julie Simmons and Payton, Fay Cobb and Norman, Joseph (2018), HEALTH CARE MANAGEMENT SCIENCE, 21(4), 534-553.
Exploring the Value of Waiting During Labor
Hicklin, Karen and Ivy, Julie S. and Payton, Fay Cobb and Viswanathan, Meera and Myers, Evan (2018), SERVICE SCIENCE, 10(3), 334-353.
Robust optimization approaches for the equitable and effective distribution of donated food
Orgut, Irem Sengul and Ivy, Julie S. and Uzsoy, Reha and Hale, Charlie (2018), EUROPEAN JOURNAL OF OPERATIONAL RESEARCH, 269(2), 516-531.
LSTM for septic shock: Adding unreliable labels to reliable predictions
Zhang, Y. and Lin, C. and Chi, M. and Ivy, J. and Capan, M. and Huddleston, J. M. (2017), 2017 IEEE International Conference on Big Data (Big Data), (), 1233-1242.
Modeling for the equitable and effective distribution of food donations under stochastic receiving capacities
Orgut, I. S. and Ivy, J. and Uzsoy, R. (2017), IISE Transactions, 49(6), 567-578.
A stochastic model of acute-care decisions based on patient and provider heterogeneity
Capan, M. and Ivy, J. S. and Wilson, J. R. and Huddleston, J. M. (2017), Health Care Management Science, 20(2), 187-206.
Achieving equity, effectiveness, and efficiency in food bank operations: Strategies for feeding America with implications for global hunger relief
Orgut, I. S. and Brock, L. G. and Davis, L. B. and Ivy, J. S. and Jiang, S. and Morgan, S. D. and Uzsoy, R. and Hale, C. and Middleton, E. (2016), International Series in Operations Research & Management Science, 235(), 229-256.
Assessing the reliability of the radiation therapy care delivery process using discrete event simulation
Pooya, P. and Ivy, J. and Mosaly, P. and Tracton, G. and Singh, N. and Tracton, G. and Singh, N. (2016), Proceedings of the European Conference on Antennas and Propagation, (), 1233-1244.
Modeling for the equitable and effective distribution of donated food under capacity constraints
Orgut, I. S. and Ivy, J. and Uzsoy, R. and Wilson, J. R. (2016), IIE Transactions, 48(3), 252-266.
Modeling the effect of public health resources and alerting on the dynamics of pertussis spread
Yaylali, E. and Ivy, J. S. and Uzsoy, R. and Samoff, E. and Meyer, A. M. and Maillard, J. M. (2016), Health Systems, 5(2), 81-97.
Simulation of labor: a study of the relationship between cesarean section rates and the time spent in labor
Hicklin, K. and Ivy, J. S. and Myers, E. R. and Kulkarni, V. and Viswanathan, M. (2016), Proceedings of the European Conference on Antennas and Propagation, (), 1269-1280.
A Framework for modeling the complex interaction between breast cancer and diabetes
Goodarzi, S. H. and McKenzie, K. and Nataraj, N. and Ivy, J. S. and Mayorga, M. and Mason, J. and Tejada, J. (2016), Proceedings of the European Conference on Antennas and Propagation, (), 1245-1256.
Combined DES/SD model of breast cancer screening for older women, I: Natural-history simulation
Tejada, J. J. and Ivy, J. S. and Wilson, J. R. and Ballan, M. J. and Diehl, K. M. and Yankaskas, B. C. (2015), IIE Transactions, 47(6), 600-619.
Individualizing and optimizing the use of early warning scores in acute medical care for deteriorating hospitalized patients
Capan, M. and Ivy, J. S. and Rohleder, T. and Hickman, J. and Huddleston, J. M. (2015), Resuscitation, 93(), 107-112.
Understanding the evolution of mathematics performance in primary education and the implications for STEM learning: A Markovian approach
Reamer, A. C. and Ivy, J. S. and Vila-Parrish, A. R. and Young, R. E. (2015), Computers in Human Behavior, 47(), 4-17.
Combined DES/SD model of breast cancer screening for older women, II: screening-and-treatment simulation
Tejada, J. J. and Ivy, J. S. and King, R. E. and Wilson, J. R. and Ballan, M. J. and Kay, M. G. and Diehl, K. M. and Yankaskas, B. C. (2014), IIE Transactions, 46(7), 707-727.
Competing risks analysis in mortality estimation for breast cancer patients from independent risk groups
Zhang, S. F. and Ivy, J. S. and Wilson, J. R. and Diehl, K. and Yankaskas, B. C. (2014), Health Care Management Science, 17(3), 259-269.
Optimal two-phase vaccine allocation to geographically different regions under uncertainty
Yarmand, H. and Ivy, J. S. and Denton, B. and Lloyd, A. L. (2014), European Journal of Operational Research, 233(1), 208-219.
Systems engineering methods for enhancing the value stream in public health preparedness: The role of Markov models, simulation, and optimization
Yaylali, E. and Ivy, J. S. and Taheri, J. (2014), Public Health Reports, 129(), 145-153.
Analytic solution of the susceptible-infective epidemic model with state-dependent contact rates and different intervention policies
Yarmand, H. and Ivy, J. S. (2013), Simulation, 89(6), 703-721.
Identifying optimal mitigation strategies for responding to a mild influenza epidemic
Yarmand, H. and Ivy, J. S. and Roberts, S. D. (2013), Simulation, 89(11), 1400-1415.
Optimal intervention strategies for an epidemic: A household view
Yarmand, H. and Ivy, J. S. (2013), Simulation, 89(12), 1505-1522.
The association of breast density with breast cancer mortality in African American and white women screened in community practice
Zhang, S. F. and Ivy, J. S. and Diehl, K. M. and Yankaskas, B. C. (2013), Breast Cancer Research and Treatment, 137(1), 273-283.
A conceptual framework for future research on mode of delivery
Wu, J. M. and Viswanathan, M. and Ivy, J. S. (2012), Maternal and Child Health Journal, 16(7), 1447-1454.
Cost-effectiveness analysis of vaccination and self-isolation in case of H1N1
Yarmand, H. and Ivy, J. S. and Roberts, S. D. and Bengtson, M. W. and Bengtson, N. M. (2010), Winter Simulation Conference Proceedings, (), 2199-2210.
Modeling the impact of comorbidity on breast cancer patient outcomes
Zhang, S. F. and Ivy, J. S. and Payton, F. C. and Diehl, K. M. (2010), Health Care Management Science, 13(2), 137-154.
Pelvic floor consequences of Cesarean delivery on maternal request in women with a single birth: A cost-effectiveness analysis
Xu, X. and Ivy, J. S. and Patel, D. A. and Patel, S. N. and Smith, D. G. and Ransom, S. B. and Fenner, D. and DeLancey, J. O. L. (2010), Journal of Women's Health, 19(1), 147-160.
Assessing dynamic breast cancer screening policies
Maillart, L. M. and Ivy, J. S. and Ransom, S. and Diehl, K. (2008), Operations Research, 56(6), 1411-1427.
A simulation-based approach for inventory modeling of perishable pharmaceuticals
Vila-Parrish, A. R. and Ivy, J. S. and King, R. E. (2008), 2008 Winter Simulation Conference, vols 1-5, (), 1532-1538.

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