Publications

Links to Research Profiles

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Peer-Reviewed Journal Publications

  1. Magee, E., Karaca, M., Lawrence, A., Escoto, E., and Alvarado, M. “Machine Learning Applied to Walk-In Demand Prediction for University Counseling Center.” University of Florida Journal of Undergraduate Research (2019), to appear.
  2. Ejaz, Iqra, et al. “Condition-Based Maintenance for Queues With Degrading Servers.” IEEE Transactions on Automation Science and Engineering (2019). DOI: 10.1109/TASE.2019.2893870
  3. Alvarado, M., Cotton, T., Ntaimo, L., Pérez, E., and Carpentier, W. “Modeling and simulation of oncology clinic operations in discrete event system specification.” SIMULATION (2017). DOI: 10.1177/0037549717708246. ( Editor’s Choice Paper February 2018 )
  4. Alvarado, M., Foster, M., Gonzalez, P., Ortega, P., Kum, H., and Lawley, M. “Barriers to implementation of remote health technologies for diabetes care: a systematic review.” J Med Internet Res 2017;19(2):e28.
  5. Alvarado, M. and Ntaimo, L. “Chemotherapy appointment scheduling under uncertainty using mean-risk stochastic integer programming”. Sept. 2016. Health Care Management Science. DOI: 10.1007/s10729-016-9380-4. ( Awarded 1st Place in 2017 INFORMS MIF Paper Competition )
  6. Alvarado, M., Ntaimo, L., Banerjee, B., and Kianfar, K. “Reducing pediatric medication errors: A survey and taxonomy.” IIE Transactions on Healthcare Systems Engineering, 2.2 (2012): 142-155.

Submitted To Refereed Journals

  1. Ntaimo, L., Alvarado, M., and Lulli, G. “Fenchel disjunctive decomposition for mean-risk stochastic mixed-integer programs.”
  2. Khatami, M., Alvarado, M., Kong, N., Parikh, P., and Lawley, M. “Optimal inpatient discharge planning under uncertainty.” Submitted to EJOR, under 2nd review.
  3. Alvarado, M., Zhang, Y., and Lawley, M. “Rational Penalty and Incentive Mechanisms for Hospital Readmissions.”
  4. Alvarado, M. and Ntaimo, L. “Integrated simulation and optimization for oncology clinic operations.”
  5. Lahijanian, B. and Alvarado, M. “A stochastic programming approach to reduce hospital readmissions.”

Manuscripts In Preparation

  1. Feng, H., Alvarado, M., and Lawley, M. “Sequential Clinical Scheduling with Patient Re-entrant: The Case of Mohs Micrographic Surgery”. (2018) Target journal: POMS.
  2. Burns, P., Alvarado, M. “Discrete-Event Simulation for Mohs Micrographic Surgery”. (2018) Target journal: Simulation.
  3. Marcal-Lopes, J., and Alvarado, M. “Rapid Review: Application of Optimization in the Supply Chain of Vaccines.”

Conference Proceedings

  1. Lahijanian, B., and Alvarado, M. “A Statistical Analysis of Penalty vs. Incentive Designs for Hospital Readmission”. In Proceedings of the 2019 IISE Annual Conference and Expo, Orlando, FL, May 18-21, 2019. Paper no. 627068.
  2. Alvarado, M., Lawley, M., & Li, Y. (2016, December). Healthcare simulation tutorial: methods, challenges, and opportunities. In Proceedings of the 2016 Winter Simulation Conference (pp. 236-247). IEEE Press.
  3. Alvarado, M., Zhang, Y., and Lawley, M. “Hospital readmission reduction strategies using a penalty-incentive model.” In Proceedings of the 2016 IIE Annual Conference and Expo, Anaheim, CA. May 21-24, 2016. Paper no. 1596: 1-6.
  4. Igbinoba, O., Ly, M., Alvarado, M., Avnet, M., and Lawley, M. “Enablers and barriers to remote health technologies: a stakeholder analysis.” In Proceedings of the 2016 IIE Annual Conference and Expo, Anaheim, CA. May 21-24, 2016. Paper no. 1425: 1-6.
  5. Ly, M., Igbinoba, O., Alvarado, M., Avnet, M., and Lawley, M. “Socio-technical challenges to the adoptions of remote technologies in healthcare.” In Proceedings of the 2016 Conference on Systems Engineering Research, Huntsville, AL. Mar. 22-24, 2016. Pages 1-9.
  6. Alvarado, M., Cotton, T., and Ntaimo, L. “A simulation and optimization approach to scheduling chemotherapy appointments.” In Proceedings of the 2013 Interservice/Industry Training, Simulation, and Education Conference, Orlando, FL. Dec. 1-5, 2013. Paper no. 13029: 1-11.