Stefanos Zafeiriou
Scholar

Stefanos Zafeiriou

Google Scholar ID: QKOH5iYAAAAJ
Professor, Imperial College London
Computer VisionDeep LearningStatistical Machine LearningPattern RecognitionBiometrics
Citations & Impact
All-time
Citations
32,770
 
H-index
72
 
i10-index
214
 
Publications
20
 
Co-authors
180
list available
Contact
Resume (English only)
Academic Achievements
  • Published over 250 papers in premier journals and conferences, including IEEE T-PAMI, IJCV, CVPR, ICCV, ECCV, NeurIPS, and ICML. His work has garnered more than 43,000 citations, resulting in an h-index of 86. Received Imperial College’s President’s Medal for Excellence in Research Supervision (2016) and the President’s Medal for Excellence in Innovation and Entrepreneurship (2022). His students are frequent recipients of highly competitive fellowships, such as the Google Fellowship (x2), the Intel Fellowship, and the Qualcomm Fellowship (x4). Served as (Guest) Associate Editor for journals like IEEE T-PAMI, IJCV, and IEEE Transactions on Affective Computing. Guest-edited more than eight journal special issues and co-organized over 25 workshops and challenges at top conferences. General Chair for BMVC 2017.
Research Experience
  • Co-authored over 250 papers in top-tier machine learning and computer vision venues. Served as Chief Scientist and Lead at major companies such as Google, leading large-scale digital human and Generative AI projects. Co-founder of multiple startups, including Facesoft, Ariel AI, and Cogitat.
Education
  • No specific educational background information provided.
Background
  • Professor in Machine Learning and Computer Vision with the Department of Computing at Imperial College London. Holder of the prestigious UKRI Turing AI World-Leading Research Fellowship. Previously, an EPSRC Early Career Research Fellow (2019-2024) and a Junior Research Fellow from Imperial College London (2011). Also served as a Distinguishing Research Fellow with the University of Oulu, Finland, under the Finnish Distinguished Professor Programme (2016-2020). His research focuses on machine learning models applied to computer vision and biosignal analysis.
Miscellany
  • Serial entrepreneur, successfully exited three startups.