Scholar
Piotr Bielak
Google Scholar ID: Z0lkjn0AAAAJ
Wrocław University of Science and Technology
Citations & Impact
Citations
302
H-index
6
i10-index
4
Publications
16
Co-authors
0
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including 'Representation learning in multiplex graphs: Where and how to fuse information?' (February 2024) and 'Graph-level representations using ensemble-based readout functions' (May 2023, ICCS 2023). His work has garnered over 100 citations.
Research Experience
- AI Frameworks Engineer at Intel Corporation and Assistant Professor at Wrocław University of Science and Technology.
Education
- PhD in Computer Science (Machine Learning), 2019-2023, Wrocław University of Science and Technology; MSc in Computer Science (Data Science specialization), 2018-2019, Wrocław University of Science and Technology; BEng in Computer Science, 2014-2018, Wrocław University of Science and Technology.
Background
- A graph machine learning specialist with over 4 years of industrial experience. His research expertise centers on graph representation learning in terms of unsupervised and self-supervised learning. He has authored both conference and journal articles, introducing pioneering methods such as GBT, AttrE2vec, and FILDNE. Proficient in Python, he is a well-rounded practitioner skilled in full-stack machine learning development, including DevOps/MLOps, model implementation, and evaluation.
Miscellany
- Interests include Graph Machine Learning, Representation Learning, Unsupervised Learning, and Self-supervised Learning.
Co-authors