Our scientific team, with over 20 PhDs, is doing both fundamental and applied Math-AI research.
Our fundamental research directions include:
- Differential geometry and topology, with applications to AI
- Chaotic and regular dynamical systems
- Mathematical modeling of complex systems using modern mathematical methods (agent-based, networked models, micro-macro, deterministic and stochastic ODEs/PDEs, wavelet decomposition and spectral analysis, MCMC, among other simulation methods, ec.)
- Structure and representation of information and intelligence
- Stochastic and heuristic optimization methods
- Design of neural networks
- Efficient focal asymmetric loss functions
- Topological voting/ensemble methods
- Geometric transformations and augmentation methods
- Fuzzy boundary problems
- Transfer learning
- 3D reconstruction
Our applied R&D directions include:
- Digitalization of dermatology/dermatocosmetics (qualitative and quantitative multi-modal analysis of all skin diseases and skin care)
- AI for spine surgery
- AI for cancers
- Real-time object recognition in videos
- AI for RF and satellite signal processing, GPS/GNSS
- Natural language processing applied to healthcare
- AI for music, with applications to healthcare and well-being
Interested in joining our scientific team? Email us at [email protected].
