Publications and Talks

PUBLICATIONS

Accepted/Printed

[1] Sun, K., Roy, A., Tobin, J. (2024). Artificial Intelligence and Machine Learning: Definition of Terms and Current Concepts for Critical Care Research. Journal of Critical Care, 82(2024), 154792. https://doi.org/10.1016/j.jcrc.2024.154792

[2] Sun, K., Sun, M., Agrawal, D., Dravenstott, R., Rosinia, F., Roy, A. (2023). Equitable Anesthesiologist Scheduling under Demand Uncertainty Using Multi-Objective Programming. Production and Operations Management, 32(11), 3699-3716. https://doi.org/10.1111/poms.14058

[3] Sun, K., Li, Y., Roy, U. (2017). A PLM-based data analytics approach for improving product development lead time in an engineer-to-order manufacturing firm. Mathematical Modeling of Engineering Problems, 4(2), 69–74. https://doi.org/10.18280/mmep.040201

Working Paper/Under Revision

[4] Sun, K., Sun, M., Dannenhoffer, J., Rosinia, F., Roy, A. An Algorithm Framework for the Exact Solution and Improved Approximations of the Maximum Weighted Independent Set Problem.

[5] Sun, K., Sun, M., Dannenhoffer, J., Rosinia, F., Roy, A. Solving Resource Constrained Scheduling Problems Using the Concept of Maximum Weighted Independent Set.

[6] Sun, K., Dannenhoffer, J., Roy, U. An Algorithm Framework for the Exact Solution and Improved Approximation of the Maximum Weighted Independent Set Problem (arXiv:2008.01961). arXiv. https://doi.org/10.48550/arXiv.2008.01961

[7] Sun, K., Dannenhoffer, J., Roy, U. A Novel Approach for the Process Planning and Scheduling Problem Using the Concept of Maximum Weighted Independent Set (arXiv:2008.01960). arXiv. https://doi.org/10.48550/arXiv.2008.01960

Work-In-Progress
[•] Machine learning guided anesthesiology resident and CRNA (certified registered nurse anesthetist) scheduling.
[•] Provider scheduling in an outpatient clinic using the method of conflicting graph.
[•] Natural language processing (NLP) and topological data analytics (TDA) for electronic health records (EHR) data.

SELECTED PRESENTATIONS

Equitable Anesthesiologist Scheduling under Demand Uncertainty Using Multi-Objective Programming

  • 2023 INFORMS Annual Meeting, October 18th, 2023
  • Podium Presentation, at 9th annual San Antonio Military Health and Universities Research Forum (SURF), June 15th, 2023
  • Production and Operations Management Society (POMS), 33rd Annual Conference, May 23rd, 2023
  • Los Datos Conference 2023, UTSA School of Data Science, April 20th, 2023
  • 2022 INFORMS Annual Meeting, October 16th, 2022
  • 10th Annual San Antonio Postdoctoral Research Forum at UTHealthSA, September 20th, 2022
  • 32nd Annual POMS Conference, April 22nd, 2022
  • Seminar, Department of Management Science and Statistics at UTSA, April 22nd, 2022
  • 2022 Research Symposium at UTHealthSA, April 18th, 2022

Optimal Physician Scheduling Solution Using the Method of Maximum Weighted Independent Set (MWIS)

  • 32nd Annual POMS Conference, April 22nd, 2022

Optimal and Equitable Staffing Solutions for Anesthesiologist Scheduling

  • 2021 INFORMS Annual Meeting, October 27th, 2021
  • 31st Annual POMS Conference, April 30th - May 5th, 2021

An Integrated Optimal and Equitable Staffing Solution for Anesthesia Scheduling

  • 2021 American Association of Clinical Directors (AACD) Perioperative Leadership Summit, March 19th, 2021

Developing a Visual Analytics Tool for Engineering Tasks Assignment for Small and Medium-sized Manufacturing Firm

  • 2019 Engineering and Computer Science (ECS) Research Day, March 19th, 2019

Aras Innovator in Engineering Education and Research

  • Invited Presentation, Aras Community Event (ACE) US 2018, Premier PLM conference by Aras Innovator, March 21st, 2018