2022 VIII International Conference on Information Technology and Nanotechnology (ITNT)

Section 1 "Computer Optics and Nanophotonics":

- Diffractive Optics (Design, Simulation and Manufacturing of Diffractive Optical Elements, Applications);
- Planar Optical Structures (Waveguides, Photonic Crystals, Resonance Structures, Bragg Gratings);
- Hyperspectral Systems (Optical Schemes, Dispersive Elements, Spectral Filters);
- Nanophotonics (Design, Simulation and Manufacturing of Elements of Nanophotonics, Plasmonics, Metasurfaces);
- Optical Sensing Systems, Information Transmission and Processing ;
- Singular Optics .

Section 2 "Information technology in Earth remote sensing":

- Information Technology in Design of Earth Remote Sensing Spacecraft and Payload;
- Software and Mathematical Solutions for Motion Control of Observation Spacecraft;
- Software and Hardware for Receiving, Processing and Analyzing Data Received from Earth Remote Sensing Spacecraft;
- Mathematical Modeling of the Processes of Earth Remote Sensing Spacecraft Performance;
- Modern Design Solutions for the Development of Earth Remote Sensing Spacecraft and their Constellations;
- UAV-based Remote Sensing Systems.

Section 3 "Digital Image Processing, Analysis and Pattern Recognition":

- Mathematical Methods of Digital Image Processing and Pattern Recognition;
- 3D Vision;
- Image-Based Biometric Systems;
- Geoinformation Systems and Technologies;
- Multimedia Protection and Verification.

Section 4 "Artificial Intelligence":

- New Approaches, Trends and Fundamental Results in the Field of Artificial Intelligence and its Applications;
- Neural Network Methods and Deep Learning;
- Applied Artificial Intelligence Technologies in Image Processing, Unmanned Vehicles, Industrial and Agricultural Applications;
- Software Technologies for Solving Problems of Artificial Intelligence;
- Multidisciplinary Aspects of Artificial Intelligence and Machine Learning.

Section 5 "Data Science":

- Data Engineering: Data Preprocessing, Validation and Augmentation;
- Data Visualization;
- Mathematical Methods of Data Analysis;
- Software Platforms and Libraries for Data Processing;
- Hardware for Data Storage and Processing;
- High-performance, Parallel and Cloud Computing, Big Data Technologies;
- Databases, Tools and Languages for Working with Databases.