Proposals

List of the proposed projects

• CASF: Comparison analysis scoring functions for docking problem

Pharmacological research is concentrated to constructing a molecule, a ligand, which docks a given protein. This research is expensive since it goes in-vitro. We have to propose a deep neural net to forecast the probability of docking.

• 3D-image reconstruction for the lens-free microscopy

One has to reconstruct an image of a small biological object (of hundreds micrometers, like a eucaryotic cell). Its video comes from a device of a brand-new technology: the free lens microscopy. This project combines modelling of interference images and its Fourier transform and GANs, the generative and discriminative deep learning models.

• Atom-resolution synchrotron image reconstruction

For a given synchrotron image one has to reconstruct an object of nano-meter size. There given a reciprocal lattice image. We have to train a neural net to reconstruct the real and the complex part of a sample object.

• Long-live health monitoring with wearable devices

For daily accelerometer and gyroscope time series we have to reconstruct typical hand movements and represent these movements as clusters in the phase space.

• Time series segmentation in low-dimensional space

One has to mark-up zero-phase segments of various hand movements using electronic watches. Neural nets on spherical harmonics seems to be a good tool.

• Invariants and compositions of physical activities

We have to create a model to describe simple hand movements and compositions of movements. The composition of physical models must fit the composition of machine learning models.