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Krzysztof Czarnecki

Krzysztof Czarnecki

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Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
80
Citations
33480
World Ranking
1061
National Ranking
34

Research.com Recognitions

  • 2025 - Research.com Computer Science in Canada Leader Award
  • 2023 - Research.com Computer Science in Canada Leader Award
  • 2022 - Research.com Computer Science in Canada Leader Award

Overview

Krzysztof Czarnecki is affiliated with the University of Waterloo in Canada and has contributed extensively to research in computer science and engineering. Their work spans primarily in the fields of Artificial Intelligence, Automotive Engineering, Computer Vision and Pattern Recognition, Control and Systems Engineering, and Safety, Risk, Reliability and Quality.

The research topics addressed by Czarnecki include autonomous vehicle technology and safety, adversarial robustness in machine learning, advanced neural network applications, traffic control and management, traffic and road safety, safety systems engineering in autonomy, and vehicle dynamics and control systems. The diversity of topics reflects a focus on the technical and safety challenges in autonomous driving and intelligent transportation systems.

Recent papers from Czarnecki showcase their contributions to 3D object detection, perception safety, and autonomous driving maneuvers. Selected recent works include:

  • "Deformable PV-RCNN: Improving 3D Object Detection with Learned Deformations," 2020, arXiv (Cornell University)
  • "If a human can see it, so should your system," 2022, Proceedings of the 44th International Conference on Software Engineering
  • "Out-of-Distribution Detection for LiDAR-based 3D Object Detection," 2022, 2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC)
  • "Universally Safe Swerve Maneuvers for Autonomous Driving," 2021, IEEE Open Journal of Intelligent Transportation Systems
  • "The Missing Link: Developing a Safety Case for Perception Components in Automated Driving," 2022, SAE International Journal of Advances and Current Practices in Mobility

Czarnecki frequently collaborates with a group of co-authors including:

  • Chengjie Huang
  • Rick Salay
  • Sean Sedwards
  • Vahdat Abdelzad
  • Atrisha Sarkar

Publication venues where Czarnecki has often contributed are:

  • arXiv (Cornell University)
  • IEEE Transactions on Intelligent Transportation Systems
  • SAE International Journal of Advances and Current Practices in Mobility
  • 2022 IEEE Intelligent Vehicles Symposium (IV)
  • Proceedings of the AAAI Conference on Artificial Intelligence

The accumulation of 65 publications in computer science and 58 in engineering highlights a sustained research output. The subfields and topics demonstrate an emphasis on both theoretical and applied challenges within autonomous systems and machine learning as applied to safety and transportation domains.

Best Publications

  • Generative Programming

    Barbara Barth;Gregory Butler;Krzysztof Czarnecki;Ulrich W. Eisenecker

  • Generative Programming: Methods, Tools, and Applications

    Krzysztof Czarnecki;Ulrich W. Eisenecker

  • Model-Driven Software Development: Technology, Engineering, Management

    Thomas Stahl;Markus Voelter;Krzysztof Czarnecki

  • Feature-based survey of model transformation approaches

    K. Czarnecki;S. Helsen

  • Classification of Model Transformation Approaches

    Krzysztof Czarnecki;Simon Helsen

  • Formalizing cardinality‐based feature models and their specialization

    Krzysztof Czarnecki;Simon Helsen;Ulrich W. Eisenecker

  • Mapping features to models: a template approach based on superimposed variants

    Krzysztof Czarnecki;Michał Antkiewicz

  • Staged configuration using feature models

    Krzysztof Czarnecki;Simon Helsen;Ulrich Eisenecker

  • Staged configuration through specialization and multilevel configuration of feature models

    Krzysztof Czarnecki;Simon Helsen;Ulrich W. Eisenecker

  • A survey of variability modeling in industrial practice

    Thorsten Berger;Ralf Rublack;Divya Nair;Joanne M. Atlee

  • Feature Diagrams and Logics: There and Back Again

    K. Czarnecki;A. Wasowski

  • Cool features and tough decisions: a comparison of variability modeling approaches

    Krzysztof Czarnecki;Paul Grünbacher;Rick Rabiser;Klaus Schmid

  • Reverse engineering feature models

    Steven She;Rafael Lotufo;Thorsten Berger;Andrzej Wasowski

  • FeaturePlugin: feature modeling plug-in for Eclipse

    Michal Antkiewicz;Krzysztof Czarnecki

  • SAT-based analysis of feature models is easy

    Marcilio Mendonca;Andrzej Wąsowski;Krzysztof Czarnecki

  • Bidirectional Transformations: A Cross-Discipline Perspective

    Krzysztof Czarnecki;J. Nathan Foster;Zhenjiang Hu;Ralf Lämmel

  • Verifying feature-based model templates against well-formedness OCL constraints

    Krzysztof Czarnecki;Krzysztof Pietroszek

  • Overview of generative software development

    Krzysztof Czarnecki

  • An Exploratory Study of Cloning in Industrial Software Product Lines

    Y. Dubinsky;J. Rubin;T. Berger;S. Duszynski

  • Evolution of the linux kernel variability model

    Rafael Lotufo;Steven She;Thorsten Berger;Krzysztof Czarnecki

  • Generative Programming for Embedded Software: An Industrial Experience Report

    Krzysztof Czarnecki;Thomas Bednasch;Peter Unger;Ulrich W. Eisenecker

Frequent Co-Authors

Thorsten Berger
Thorsten Berger Ruhr University Bochum
Andrzej Wąsowski
Andrzej Wąsowski IT University of Copenhagen
Sven Apel
Sven Apel Saarland University
Yingfei Xiong
Yingfei Xiong Peking University
Steven L. Waslander
Steven L. Waslander University of Toronto
Patrick Heymans
Patrick Heymans University of Namur
Christian Kästner
Christian Kästner Carnegie Mellon University
Marco Tulio Valente
Marco Tulio Valente Universidade Federal de Minas Gerais
Oscar Nierstrasz
Oscar Nierstrasz University of Bern
Dietmar Jannach
Dietmar Jannach University of Klagenfurt

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