Staff Profile
David Towers
Research Assistant for Automotive AI
- Personal Website:
- Address: David Towers,
Urban Sciences Building,
School of Computing
Â鶹´«Ã½
Â鶹´«Ã½ upon Tyne
NE1 7RU
Background
David Towers is a Research Assistant for Automotive AI in the at . David researches Machine and Deep Learning topics, specialising in Neural Architecture Search.
David is also a PhD candidate who has taken a pause in their studies to take advantage of the RA opputunity. David previously studied Machine Learning (PgDip, Â鶹´«Ã½) and completed an MSc in Computer Games Engineering, and a BSc in Computer Science (both at Â鶹´«Ã½).
Links:
Areas of Expertise:
- Machine Learning
- Deep Learning
- Neural Architecture Search
Publications
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Article
- Towers D, Forshaw M, McGough AS, Atapour-Abarghouei A. Long-term Reproducibility for Neural Architecture Search. 2022, 4.
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Conference Proceedings (inc. Abstract)
- Geada R, Towers D, Forshaw M, Atapour-Abarghouei A, McGough AS. . In: 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 2024, Seattle, WA, USA: IEEE.