Scholar
Dimitrios Korkinof
Google Scholar ID: lW6FiiYAAAAJ
Staff Machine Learning Engineer at Spotify
Citations & Impact
Citations
248
H-index
9
i10-index
8
Publications
20
Co-authors
8
list available
Publications
Resume (English only)
Academic Achievements
- Has 4 patents, 14 papers, an h-index of 8, and over 260 citations. The most cited paper used Generative Adversarial Networks to create high-resolution synthetic medical images indistinguishable from real ones by human experts.
Research Experience
- 1. Deep Learning for breast cancer detection at Kheiron Medical
- 2. Deep Learning for visual perception in autonomous driving at Toyota Motor Europe
- 3. Virtual assistants and Bayesian insurance claims modeling at AIG
- 4. Deep Learning for image understanding at Cortexica Vision Systems
- 5. Currently leading projects in the Entity Resolution and Linking workstream within the Content Platform Research team at Spotify.
Education
- PhD in Machine Learning and Robotics from Imperial College London; MEng in Electrical and Computer Engineering.
Background
- Research interests include all aspects of machine learning, particularly deep learning, computer vision, Bayesian inference, decision trees, large language models, and audio processing. Currently a Staff Machine Learning Engineer at Spotify.
Miscellany
- Best way to contact is by email, but please keep in mind that not all emails can be answered.
