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.
- Răzvan V. Florian – principal investigator
- Ali Davody – research associate
- Homa Davoudi – research associate
- Cristian G. Ivan – research associate
- Mihai S. Baba – research assistant
- Alexandru Ghiuruțan – research assistant
- Nichita Uțiu – research assistant
- Lehel Csató – visiting research scientist
- Bipin Indurkhya – visiting research scientist
- Laura Rus – administrative assistant
Machine Learning and Optimization
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.
- Luigi Malagò – principal investigator
- Deepika Kumari – research associate
- Septimia Sârbu – research associate
- Riccardo Volpi – research associate
- Alexandra Albu – research assistant
- Petru Hlihor – research assistant
- Csongor H. Várady – research assistant
- Larisa Calo – administrative assistant
Nonlinear Science
Marius F. Danca studies continuous/non-smooth chaotic dynamical systems of integer/fractional order.
- Marius F. Danca – principal investigator
Staff
- Nicoleta Vaida – financial director
- Camelia Cinc – payroll officer / economist
- Ana-Maria Coatu – administrative assistant
- Iulia Cifor – financial director (on maternal leave)
Board of directors
- Daniel P. Funeriu
- Dorel Banabic
- Răzvan V. Florian – president