6B06105 - Spatiotemporal Artificial Intelligence

Artificial Intelligence Specialist

Application Programmer

Artificial Intelligence Engineer

Computer Vision Programmer

Neural Network Specialist

Application of artificial intelligence, mathematical modeling, spatio-temporal data analysis, and digital technologies to objects and processes in geographic environments. The area covers the development of digital twins of geographic environments, discovery of spatial and temporal patterns, intelligent processing of geocartographic data, monitoring and forecasting, and cloud-based decision support.

The professional sphere covers the life cycle of artificial-intelligence and big-data systems: requirements analysis, data preparation, model and software-architecture design, development, testing, deployment, and operational support. Professional objects include expert and intelligent systems, machine-learning and neural-network models, computer-vision applications and equipment, video and graphical imagery, big-data storage systems, spatio-temporal data and models, digital twins of geographic environments, and cloud-computing and geocartographic platforms.

• Design and development of spatio-temporal artificial intelligence systems
• Preparation, processing, and analysis of spatio-temporal and big data
• Development of digital twins of geographic environments
•  Intelligent processing and visualization of geocartographic data
• Modeling and forecasting of spatio-temporal processes
• Deployment and operation of spatio-temporal artificial intelligence systems

1. Design and Technological Activities — design, development and implementation of spatial-temporal artificial intelligence systems, geographic information systems and digital twins.
2. Software and Technological Activities — development, testing and maintenance of software for processing spatial-temporal and geocartographic data.
3. Analytical Activities — collection, processing, analysis and interpretation of spatial-temporal and big data using artificial intelligence and machine learning methods.
4. Research Activities — research into artificial intelligence methods, spatial-temporal modelling, forecasting and analysis of geospatial processes.
5. Modelling and Forecasting Activities — development of mathematical and intelligent models for the analysis and forecasting of spatial-temporal processes and phenomena.
6. Geoinformation and Cartographic Activities — intelligent processing, analysis and visualization of geospatial and geocartographic data.
7. Operation and Maintenance Activities — implementation, configuration, operation, monitoring and maintenance of spatial-temporal artificial intelligence systems.
8. Digitalization and Data Management Activities — application of Big Data, cloud computing, digital twin and artificial intelligence technologies for the digital transformation of organizations and management of spatial resources.

• Development of artificial intelligence models that account for spatial and temporal dependencies
• Integration and analysis of geospatial data, time series, imagery, and sensor data streams
• Creation of digital twins of geographic objects and processes using spatio-temporal data and models
• Detection, mapping, and visualization of spatial changes using GIS, machine learning, and computer vision
• Modeling dynamic processes, detecting anomalies, and forecasting changes using machine- and deep-learning methods
• Deployment of spatio-temporal AI models in cloud environments, performance monitoring, and assurance of reliable operation