Generating Privacy-Preserving Process Data with Deep Generative Models. - Keyi Li; Sen Yang 002; Travis M. Sullivan; Randall S. Burd; Ivan Marsic (CoRR, 2022)

Exploring Runtime Decision Support for Trauma Resuscitation. - Keyi Li; Sen Yang 002; Travis M. Sullivan; Randall S. Burd; Ivan Marsic (CoRR, 2022)

Supporting Awareness of Dynamic Data: Approaches to Designing and Capturing Data within Interactive Clinical Checklists. - Angela Mastrianni; Aleksandra Sarcevic; Hua Cui; Megan A. Krentsa; Travis M. Sullivan; Issa Zakeri; Ivan Marsic; Randall S. Burd (Conference on Designing Interactive Systems, 2023)

Understanding Delay Awareness and Mitigation Mechanisms through an Iterative Design and Evaluation of a Prototype Alert System for Complex Teamwork. - Katherine Ann Zellner; Aleksandra Sarcevic; Megan A. Krentsa; Travis M. Sullivan; Randall S. Burd (Proc. ACM Hum. Comput. Interact., 2023)

Discovering interpretable medical process models: A case study in trauma resuscitation. - Keyi Li; Ivan Marsic; Aleksandra Sarcevic; Sen Yang 002; Travis M. Sullivan; Peyton E. Tempel; Zachary P. Milestone; Karen J. O'Connell; Randall S. Burd (J. Biomed. Informatics, 2023)

ProcessGAN: Generating Privacy-Preserving Time-Aware Process Data with Conditional Generative Adversarial Nets. - Keyi Li; Sen Yang 002; Travis M. Sullivan; Randall S. Burd; Ivan Marsic (ACM Trans. Knowl. Discov. Data, 2024)

Addressing Teamwork Delays during Life-Saving Interventions through an Activity Theory-Informed Analysis. - Katherine Ann Zellner; Aleksandra Sarcevic; Maja Barnouw; Megan A. Krentsa; Travis M. Sullivan; Mary S. Kim; Randall S. Burd (Proc. ACM Hum. Comput. Interact., 2025)

To Recommend or Not to Recommend: Designing and Evaluating AI-Enabled Decision Support for Time-Critical Medical Events. - Angela Mastrianni; Mary S. Kim; Travis M. Sullivan; Genevieve J. Sippel; Randall S. Burd; Krzysztof Z. Gajos; Aleksandra Sarcevic (CoRR, 2025)