Lukasz Mazur

27 papers B 1C 1Misc 3Journal 11Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Req2Road: A GenAI Pipeline for SDV Test Artifact Generation and On-Vehicle Execution.
CoRR
Denesa Zyberaj, Lukasz Mazur, Pascal Hirmer, Nenad Petrovic, Marco Aiello, Alois Knoll
2025 J jnl
GenAI-based test case generation and execution in SDV platform.
CoRR
Denesa Zyberaj, Lukasz Mazur, Nenad Petrovic, Pankhuri Verma, Pascal Hirmer, Dirk Slama, Xiangwei Cheng, Alois Knoll
2025 — conf
Hallucination in LLM-Based Code Generation: An Automotive Case Study.
FLLM
Marc Pavel, Nenad Petrovic, Lukasz Mazur, Vahid Zolfaghari, Fengjunjie Pan, Alois Knoll
2025 J jnl
Hallucination in LLM-Based Code Generation: An Automotive Case Study.
CoRR
Marc Pavel, Nenad Petrovic, Lukasz Mazur, Vahid Zolfaghari, Fengjunjie Pan, Alois Knoll
2025 J jnl
LLM-Based Approach for Enhancing Maintainability of Automotive Architectures.
CoRR
Nenad Petrovic, Lukasz Mazur, Alois Knoll
2025 J jnl
Multi-modal Summarization in Model-Based Engineering: Automotive Software Development Case Study.
CoRR
Nenad Petrovic, Yurui Zhang, Moaad Maaroufi, Kuo-Yi Chao, Lukasz Mazur, Fengjunjie Pan, Vahid Zolfaghari, Alois Knoll
2025 J jnl
Querying Large Automotive Software Models: Agentic vs. Direct LLM Approaches.
CoRR
Lukasz Mazur, Nenad Petrovic, James William Pontes Miranda, Ansgar Radermacher, Robert Rasche, Alois Knoll
2025 J jnl
Survey of GenAI for Automotive Software Development: From Requirements to Executable Code.
CoRR
Nenad Petrovic, Vahid Zolfaghari, André Schamschurko, Sven Kirchner, Fengjunjie Pan, Chengdng Wu, Nils Purschke, Aleksei Velsh, Krzysztof Lebioda, Yinglei Song, Yi Zhang, Lukasz Mazur, Alois Knoll
2024 J jnl
Using an explainable machine learning approach to prioritize factors contributing to healthcare professionals' burnout.
J. Intell. Inf. Syst.
Malvika Pillai, Chao-Chin Liu, Elizabeth Kwong, Ian Kratzke, Nadia Charguia, Lukasz Mazur, Karthik Adapa
2023 — conf
Using the TURF Framework to Design an Enhanced Dosimetry Quality Assurance Checklist in an Academic Medical Center.
HCI (24)
Karthik Adapa, Gregg Tracton, Prithima Mosaly, Fei Yu, Ross McGurk, Carlton Moore, John Dooley, Shiva K. Das, Lukasz Mazur
2022 Misc conf
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout.
AMIA
Malvika Pillai, Karthik Adapa, Lukasz Mazur
2022 C conf
An Interpretable Machine Learning Approach to Prioritizing Factors Contributing to Clinician Burnout.
ISMIS
Malvika Pillai, Karthik Adapa, Meagan Foster, Ian Kratzke, Nadia Charguia, Lukasz Mazur
2022 — conf
Designing a Workplace Violence Reporting Tool for Healthcare Workers in Hospital Settings.
HCI (26)
Meagan Foster, Karthik Adapa, Amy Cole, Amro Khasawneh, Anna Soloway, Jeffrey Francki, Nancy Havill, Lukasz Mazur
2022 — conf
Development of an Electronic Healthcare Tool to Elicit Patient Preferences in Older Adults Diagnosed with Hematologic Malignancies.
HCI (30)
Amy Cole, Amro Khasawneh, Karthik Adapa, Lukasz Mazur, Daniel R. Richardson
2022 — conf
Evaluation of Data Visualizations for an Electronic Patient Preferences Tool for Older Adults Diagnosed with Hematologic Malignancies.
VAHC
Elizabeth Kwong, Amy Cole, Amro Khasawneh, Carl Mhina, Lukasz Mazur, Karthik Adapa, Daniel R. Richardson
2022 — conf
Human-Centered Participatory Co-design of a Dosimetry-Quality Assurance Checklist in an Academic Cancer Center.
HCI (19)
Karthik Adapa, Gregg Tracton, Prithima Mosaly, Fei Yu, Ross McGurk, Carlton Moore, John Dooley, Shiva K. Das, Lukasz Mazur
2022 — conf
Using Explainable Supervised Machine Learning to Predict Burnout in Healthcare Professionals.
MIE
Karthik Adapa, Malvika Pillai, Meagan Foster, Nadia Charguia, Lukasz Mazur
2021 — conf
Electronic Reporting of Workplace Violence Incidents: Improving the Usability, and Optimizing Healthcare Workers' Cognitive Workload, and Performance.
MedInfo
Meagan Foster, Karthik Adapa, Anna Soloway, Jeffrey Francki, Sara Stokes, Lukasz Mazur
2021 Misc conf
Exploring the impact of perceived usability and cognitive workload on objective performance using supervised machine learning classifiers.
AMIA
Karthik Adapa, Shiva K. Das, Prithima Reddy, Fei Yu, Carlton Moore, Lukasz Mazur
2021 — conf
Feature Engineering for Interpretable Machine Learning for Quality Assurance in Radiation Oncology.
MedInfo
Malvika Pillai, Karthik Adapa, John W. Shumway, John Dooley, Shiva K. Das, Bhishamjit S. Chera, Lukasz Mazur
2021 — conf
Predicting Objective Performance Using Perceived Cognitive Workload Data in Healthcare Professionals: A Machine Learning Study.
MedInfo
Karthik Adapa, Malvika Pillai, Shiva K. Das, Prithima Mosaly, Lukasz Mazur
2019 — conf
Association Between Physicians' Burden and Performance During Interactions with Electronic Health Records (EHRs).
AHFE (2)
Natalie Grace Castellano, Prithima Mosaly, Lukasz Mazur
2019 J jnl
Toward Better Understanding of Task Difficulty during Physicians' Interaction with Electronic Health Record System (EHRs).
Int. J. Hum. Comput. Interact.
Prithima Mosaly, Hua Guo, Lukasz Mazur
2018 J jnl
Relating Task Demand, Mental Effort and Task Difficulty with Physicians' Performance during Interactions with Electronic Health Records (EHRs).
Int. J. Hum. Comput. Interact.
Prithima Mosaly, Lukasz Mazur, Fei Yu, Hua Guo, Derek Merck, David H. Laidlaw, Carlton Moore, Lawrence B. Marks, Javed Mostafa
2016 J jnl
Toward a better understanding of task demands, workload, and performance during physician-computer interactions.
J. Am. Medical Informatics Assoc.
Lukasz Mazur, Prithima Mosaly, Carlton Moore, Elizabeth Comitz, Fei Yu, Aaron D. Falchook, Michael J. Eblan, Lesley M. Hoyle, Gregg Tracton, Bhishamjit S. Chera, Lawrence B. Marks
2016 B conf
Usability Evaluation of Electronic Health Record System (EHRs) using Subjective and Objective Measures.
CHIIR
Prithima Mosaly, Lukasz Mazur, Lawrence B. Marks
2014 Misc conf
Assessing the reliability of the radiation therapy care delivery process using discrete event simulation.
WSC
Pegah Pooya, Julie S. Ivy, Lukasz Mazur, Katharin Deschesne, Prithima Mosaly, Gregg Tracton, Nishant Singh