Conference Information
ITNT 2019: International Conference on Information Technology and Nanotechnology
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Samara, Russia
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Section 1 «Computer Optics and Nanophotonics»

Diffraction optics (design of diffractive optics elements, modeling of diffractive optics elements, manufacturing technology of diffraction optics elements, optical micromanipulation);
Planar optical structures (waveguides, photonic crystals, resonance structures, Bragg gratings);
Optical imaging systems (optical calculations, modeling of optical imaging systems);
Hyperspectral imaging systems (construction of hyperspectral imaging systems, dispersion elements, spectral filters);
Nanophotonics (elements of nanophotonics, technologies for manufacturing nanophotonics elements);
Fiber optics (modeling of fiber optics, fiber optics manufacturing technology, atmospheric optical communication systems).

Section 2 «Image Processing and Earth Remote Sensing»

Digital Image Processing (Filtering, Enhancement, Color Mapping, Compression, Spectral Transformations and Invariants);
Visual Recognition and Retrieval (Segmentation, Clusterization, Classification, Retrieval, Feature Extraction and Selection, Descriptors, Dimensionality Reduction);
Motion Analysis (Object Detection and Tracking, Face, Gesture and Action Recognition);
Scene Reconstruction (3D Vision, Shape or Relief Reconstruction, Registration, Geometry Transformation);
Remote Sensing Image Processing and Analysis (Geometric and Radiometric Correction, Mosaic, Classification, Dimensionality Reduction, Spectral Unmixing, Change Detection, Anomaly Detection, Data Fusion);
Multimedia Protection and Information Hiding (Watermarking, Authentication, Forgery Detection, Steganography, Steganalysis);
Geoinformatics (Vectorization, Tracing, Geospatial Analysis and Modeling).

Section 3 «Mathematical Modeling of Physico-Technical Processes and Systems»

Mathematical modeling of information processes;
Mathematical modeling of physical processes and phenomena;
Mathematical modeling of technical systems.

Section 4 «Data Science»

Data Mining (Big data, Systems and platforms, Methods);
Machine Learning (Neural networks, Statistical methods, Feature-based classification, Applications);
Security, Cryptography (Cryptosystems design and analysis, Mathematical and algorithmic aspects, Efficient implementations of algorithms, Network security);
High Performance Computing (Parallel programming models and languages, High-performance implementations, Complex systems simulation).
Last updated by Dou Sun in 2018-10-25
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