CV

Dr. Birdal's CV.

Basics

Name Tolga Birdal
Label Computer Scientist
Email tbirdal@imperial.ac.uk
Url https://tolgabirdal.github.io/
Summary computer vision and machine learning scientist, music nerd, philosophy aficionado

Work

Education

  • 2014.10 - 2018.11

    Munich, Germany

    PhD
    Technical University of Munich
    Computer Science
  • 2008.10 - 2011.11

    Munich, Germany

    MSc
    Technical University of Munich
    Computational Science and Engineering

Awards

  • 2024.07
    Future Leaders Fellow
    UK Research and Innovation (UKRI)
    With a £1.55 million award, Dr Tolga Birdal aims to develop a new set of Artificial Intelligence algorithms that will advance machine learning across a wide spectrum of applications. These will ultimately be used in applications such as self-driving cars, life sciences, 3D imaging, CAD modelling, and medical imaging.
  • 2016.06
    Young Professional Award
    European Machine Vision Association (EMVA)
    Birdal's work proposes reconstruction-via-detection framework, a new and effective approach to 3D digitisation from a limited number of unordered and unstructured 3D point clouds. The new method sets itself apart from other 3D systems due to its ability to integrate the CAD model – available in a wide range of industrial applications – directly into the reconstruction pipeline.

Languages

Turkish
Native
English
Fluent
German
Intermediate

Interests

Computer Vision
3D Vision
Topological Deep Learning
Geometric Computing
Deep Learning Theory
Quantum Computer Vision