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 (Optical Calculations, Modeling of Optical Imaging Systems, Optical Neural Networks, Fiber Optics, Information Transfer in Free-space);
- Singular Optics (Generation and Registration of Optical Vortices, Propagation and Focusing of Optical Vortices, Cylindrical Vector Beams, Spin-Orbital Conversion).

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, Including CubeSat;
- UAV-based Remote Sensing Systems.

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

- Mathematical Methods of Digital Image Processing and Pattern Recognition (Filtering, Enhancement, Color Mapping, Reconstruction, Compression, Spectral Transformations and Invariants, Mathematical Morphology, Segmentation, Images Mosaicing, Feature Extraction and Selection, Descriptors, Dimensionality Reduction, Image Retrieval);
- 3D Vision (Photogrammetry, Shape or Scene Reconstruction, Registration, Geometry Transformation, Point Cloud Processing; Scene Analysis; Structure from Motion);
- Image-Based Biometric Systems (Face, Fingerprints, Retina, Gesture and Action Recognition; Object Detection and Tracking; Motion Analysis);
- Geoinformation Systems and Technologies (Vectorization, Tracing, Geospatial Analysis and Modeling; Geometric and Radiometric Correction; Data Fusion, Spectral Unmixing, Change and Anomaly Detection,);
- Multimedia Protection and Verification (Watermarking, Forgery Detection, Steganography, Steganalysis).

Section 4 "Artificial Intelligence":

- New Approaches, Trends and Fundamental Results in the Field of Artificial Intelligence and its Applications to Pattern Recognition and Image Analysis, Text Processing, Speech Information;
- Neural Network Methods and Deep Learning: New Architectures, Neural Models, Teaching Methods, Multimodal Intelligent Systems, New Approaches to Solving Applied Problems, Preparing Data for Training, Forming Datasets;
- Applied Artificial Intelligence Technologies in Image Processing, Unmanned Vehicles, Industrial and Agricultural Applications, Medical Applications, Ecology, Environmental Monitoring and Others;
- Software Technologies for Solving Problems of Artificial Intelligence – Frameworks, Libraries, Open Initiatives and Communities;
- Multidisciplinary Aspects of Artificial Intelligence and Machine Learning: Ethical and Ontological Aspects of Artificial Intelligence, Systems of Trusted Artificial Intelligence.

Section 5 "Data Science":

Computer 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.
Data Mining Applications:
- Solution of Urgent Applied Problems: Time Series Analysis;
- Natural Language Processing;
- Video Data Streams Analysis;
- Diagnostic Data Analysis.

Section 6 "Information technologies in biomedicine":

- Mathematical methods for processing biomedical data, signals, images, biomedical visualization;
- Intelligent analysis of biomedical data, clinical decision support systems;
- Artificial intelligence in biomedical data processing, neural networks and deep learning in biomedical applications;
- Augmented and virtual reality (AR/VR) in biomedical applications;
- Medical information systems, remote interaction and monitoring systems, telemedicine, Internet medicine;
- Therapeutic and diagnostic systems, implants, artificial organs, biomedical sensors, medical equipment, internet of medical things (IoMT);
- Mathematical modeling of biophysical processes.