Maxim Khomiakov

Maxim Khomiakov

Visiting Scholar

Technical University of Denmark

Maxim is a PhD candidate at the Technical University of Denmark, specializing in deep generative models with a focus on remote sensing applications. He has earned master’s degrees in both neurotechnology and machine learning, having previously undertaken undergraduate studies in computer science engineering. Maxim’s research delves into 3D reconstruction in urban settings, building delineation, and the broader realm of deep generative models. At the UAL, he will be exploring novel techniques for Street-View Imagery and advancing research in 3D reconstruction using Aerial Imagery.

Education
  • MSc. in Biomedical Engineering (Neurotechnology), 2016

    Imperial College London, UK

  • MSc. in Mathematical Modelling & Computation (Machine Learning), 2015

    Technical University of Denmark

  • B.Eng in Computer Science & Economics, 2012

    Technical University of Denmark

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