Scholar
Linus Ericsson
Google Scholar ID: QRW9NN0AAAAJ
University of Glasgow
Citations & Impact
Citations
1,199
H-index
8
i10-index
7
Publications
16
Co-authors
31
list available
Publications
Resume (English only)
Academic Achievements
- Published multiple papers, including a paper on transferrable surrogates at AutoML 2025 and einspace at NeurIPS 2024. Co-organized the NAS Unseen-Data competition as part of AutoML 2024. Received a best paper award at AutoML 2023.
Research Experience
- Postdoctoral researcher at the University of Edinburgh, working with Elliot J. Crowley on AutoML and efficient neural network architectures. Interned at Samsung AI Centre Cambridge with Tim Hospedales & Da Li. Interned at Huawei Noah’s Ark Lab with Steven McDonagh & Ales Leonardis.
Education
- PhD from the University of Edinburgh, thesis titled 'Self-Supervised Learning for Transferable Representations', supervised by Tim Hospedales, and supported in part by the EPSRC.
Background
- Lecturer (Assistant Professor) in AI/ML at the University of Glasgow. Research interests include representation learning, multi-modal learning, robustness, and automated machine learning (AutoML). Focuses on using AI/ML methods to learn transferable data representations, building efficient neural networks, and adapting these models across data shifts to help people solve problems reliably across different scenarios.
Miscellany
- Personal interests and hobbies not mentioned.
