Assessing the reliability of the radiation therapy care delivery process using discrete event simulation. - Pegah Pooya; Julie S. Ivy; Lukasz Mazur; Katharin Deschesne; Prithima Mosaly; Gregg Tracton; Nishant Singh (WSC, 2014)

Usability Evaluation of Electronic Health Record System (EHRs) using Subjective and Objective Measures. - Prithima Mosaly; Lukasz Mazur; Lawrence B. Marks (CHIIR, 2016)

Toward a better understanding of task demands, workload, and performance during physician-computer interactions. - Lukasz Mazur; Prithima Mosaly; Carlton Moore; Elizabeth Comitz; Fei Yu 013; Aaron D. Falchook; Michael J. Eblan; Lesley M. Hoyle; Gregg Tracton; Bhishamjit S. Chera; Lawrence B. Marks (J. Am. Medical Informatics Assoc., 2016)

Relating Task Demand, Mental Effort and Task Difficulty with Physicians' Performance during Interactions with Electronic Health Records (EHRs). - Prithima Mosaly; Lukasz Mazur; Fei Yu 013; Hua Guo; Derek Merck; David H. Laidlaw; Carlton Moore; Lawrence B. Marks; Javed Mostafa (Int. J. Hum. Comput. Interact., 2018)

Association Between Physicians' Burden and Performance During Interactions with Electronic Health Records (EHRs). - Natalie Grace Castellano; Prithima Mosaly; Lukasz Mazur (AHFE (2), 2019)

Toward Better Understanding of Task Difficulty during Physicians' Interaction with Electronic Health Record System (EHRs). - Prithima Mosaly; Hua Guo; Lukasz Mazur (Int. J. Hum. Comput. Interact., 2019)

Exploring the impact of perceived usability and cognitive workload on objective performance using supervised machine learning classifiers. - Karthik Adapa; Shiva K. Das; Prithima Reddy; Fei Yu 013; Carlton Moore; Lukasz Mazur (AMIA, 2021)

Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study. - Karthik Adapa; Malvika Pillai; Shiva K. Das; Prithima Mosaly; Lukasz Mazur (MedInfo, 2021)

Co-Design Approaches Involving Older Adults in the Development of Electronic Healthcare Tools: A Systematic Review. - Amy Cole; Karthik Adapa; Daniel R. Richardson; Lukasz M. Mazur (MedInfo, 2021)

Electronic Reporting of Workplace Violence Incidents: Improving the Usability, and Optimizing Healthcare Workers' Cognitive Workload, and Performance. - Meagan Foster; Karthik Adapa; Anna Soloway; Jeffrey Francki; Sara Stokes; Lukasz Mazur (MedInfo, 2021)

Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology. - Malvika Pillai; Karthik Adapa; John W. Shumway; John Dooley; Shiva K. Das; Bhishamjit S. Chera; Lukasz Mazur (MedInfo, 2021)

An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. - Malvika Pillai; Karthik Adapa; Lukasz Mazur (AMIA, 2022)

Human-Centered Participatory Co-design of a Dosimetry-Quality Assurance Checklist in an Academic Cancer Center. - Karthik Adapa; Gregg Tracton; Prithima Mosaly; Fei Yu 013; Ross McGurk; Carlton Moore; John Dooley; Shiva K. Das; Lukasz Mazur (HCI (19), 2022)

Development of an Electronic Healthcare Tool to Elicit Patient Preferences in Older Adults Diagnosed with Hematologic Malignancies. - Amy Cole; Amro Khasawneh; Karthik Adapa; Lukasz Mazur; Daniel R. Richardson (HCI (30), 2022)

Designing a Workplace Violence Reporting Tool for Healthcare Workers in Hospital Settings. - Meagan Foster; Karthik Adapa; Amy Cole; Amro Khasawneh; Anna Soloway; Jeffrey Francki; Nancy Havill; Lukasz Mazur (HCI (26), 2022)

An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout. - Malvika Pillai; Karthik Adapa; Meagan Foster; Ian Kratzke; Nadia Charguia; Lukasz Mazur (ISMIS, 2022)

Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals. - Karthik Adapa; Malvika Pillai; Meagan Foster; Nadia Charguia; Lukasz Mazur (MIE, 2022)

Evaluation of Data Visualizations for an Electronic Patient Preferences Tool for Older Adults Diagnosed with Hematologic Malignancies. - Elizabeth Kwong; Amy Cole; Amro Khasawneh; Carl Mhina; Lukasz Mazur; Karthik Adapa; Daniel R. Richardson (VAHC, 2022)

State of the evidence on simulation-based electronic health records training: A scoping review. - Joseph K. Nuamah; Karthik Adapa; Lukasz M. Mazur (Health Informatics J., 2022)

Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center. - Karthik Adapa; Gregg Tracton; Prithima Mosaly; Fei Yu 013; Ross McGurk; Carlton Moore; John Dooley; Shiva K. Das; Lukasz Mazur (HCI (24), 2023)

Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout. - Malvika Pillai; Chao Chin Liu; Elizabeth Kwong; Ian Kratzke; Nadia Charguia; Lukasz Mazur; Karthik Adapa (J. Intell. Inf. Syst., 2024)

Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study. - Nenad Petrovic 001; Yurui Zhang; Moaad Maaroufi; Kuo-Yi Chao; Lukasz Mazur; Fengjunjie Pan; Vahid Zolfaghari; Alois Knoll (CoRR, 2025)

Querying Large Automotive Software Models: Agentic vs. Direct LLM Approaches. - Lukasz Mazur; Nenad Petrovic 001; James William Pontes Miranda; Ansgar Radermacher; Robert Rasche; Alois Knoll (CoRR, 2025)

Survey of GenAI for Automotive Software Development: From Requirements to Executable Code. - Nenad Petrovic 001; Vahid Zolfaghari; André Schamschurko; Sven Kirchner; Fengjunjie Pan; Chengdng Wu; Nils Purschke; Aleksei Velsh; Krzysztof Lebioda; Yinglei Song; Yi Zhang; Lukasz Mazur; et al. (CoRR, 2025)