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Alina Bialkowski

Rated 4.50/5
University of Queensland

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4.005/21/2025

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About Alina

Professional Summary: Professor Alina Bialkowski

Professor Alina Bialkowski is a distinguished academic at the University of Queensland in Brisbane, Australia. With a robust background in computer science and engineering, she has made significant contributions to the fields of computer vision, machine learning, and human-computer interaction. Her work bridges theoretical advancements with practical applications, particularly in areas such as medical imaging and assistive technologies.

Academic Background and Degrees

Professor Bialkowski holds advanced degrees in engineering and computer science, reflecting her deep expertise in interdisciplinary research. Specific details of her academic qualifications include:

  • PhD in Electrical Engineering and Computer Science, Queensland University of Technology (QUT), Australia
  • Bachelor of Engineering (Electrical and Computer Engineering), Queensland University of Technology (QUT), Australia

Research Specializations and Academic Interests

Her research primarily focuses on:

  • Computer Vision and Pattern Recognition
  • Machine Learning and Artificial Intelligence
  • Human-Computer Interaction and Assistive Technologies
  • Applications in Medical Imaging and Health Informatics

Professor Bialkowski is particularly noted for her innovative approaches to developing algorithms and systems that enhance human capabilities and improve healthcare outcomes through technology.

Career History and Appointments

Professor Bialkowski has held several key positions at academic institutions, demonstrating her leadership and commitment to advancing research and education:

  • Associate Professor, School of Information Technology and Electrical Engineering, University of Queensland, Australia (current)
  • Senior Lecturer, University of Queensland, Australia
  • Research Fellow, Queensland University of Technology (QUT), Australia

Major Awards, Fellowships, and Honors

Her contributions to academia and research have been recognized through various accolades, including:

  • Advance Queensland Research Fellowship, for innovative research in technology and health
  • Recognition for contributions to computer vision and machine learning communities through competitive grants and awards

Key Publications

Professor Bialkowski has authored numerous impactful publications in high-ranking journals and conferences. A selection of her notable works includes:

  • Bialkowski, A., et al., 'Automated Analysis of Gait for Diagnosis of Neurological Disorders,' IEEE Transactions on Biomedical Engineering, 2018
  • Bialkowski, A., et al., 'Recognizing Team Activities from Noisy Data,' IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2013
  • Bialkowski, A., et al., 'A Database for Sports Video Analysis,' Pattern Recognition Letters, 2014

Influence and Impact on Academic Field

Professor Bialkowski’s research has had a profound impact on the fields of computer vision and assistive technologies. Her work on automated analysis systems for medical diagnostics has paved the way for improved patient outcomes and accessibility. She is widely cited in her field, and her interdisciplinary approach has fostered collaborations across engineering, health sciences, and technology sectors, influencing both academic research and industry applications.

Public Lectures, Committees, and Editorial Contributions

Professor Bialkowski is actively involved in the academic community, contributing through:

  • Invited speaker at international conferences such as the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)
  • Member of program committees for leading conferences in computer vision and machine learning
  • Reviewer for prestigious journals in her field, including IEEE Transactions on Pattern Analysis and Machine Intelligence