Deep Computational Intelligence

This department studies how intelligent agents are able to learn about their environment by interacting with it, through curiosity-driven learning, using approaches such as deep learning, hierarchical reinforcement learning and meta-learning. The department also develops technologies for program synthesis or induction, using deep learning and other machine learning methods. We are focusing on the automated development of web pages (HTML / CSS) or the synthesis of new types of autoencoders / compressors.

Applied Machine Learning

Information Geometry for Machine Learning

This department studies design and analysis of novel training algorithms for neural networks in deep learning, by applying notions of Riemannian optimization and differential geometry.

Nonlinear Science

Marius F. Danca studies continuous/non-smooth chaotic dynamical systems of integer/fractional order.


  • Mircea Hoțoleanu – manager
  • Alex Burciu – innovation manager
  • Nicoleta Vaida – financial director
  • Camelia Cinc – payroll officer / economist
  • Ana-Maria Coatu – administrative assistant
  • Iulia Cifor – financial director (on maternal leave)

Board of directors