Informatics and Applications
High performance computing
|Simulation, optimization and
environmental decision support
Environmental geomatics - GIS, RS and other spatial information technologies
Informatics for environmental chemistry and biochemistry
Modeling of chemical, biological and environmental processes
Modeling of biotechnological systems for enhanced pollution mitigation
Computer graphics and visualization for environmental decision support
Artificial intelligence and expert systems for environmental applications
Climate modeling, downscaling, impact assessment, and adaptation planning
Other areas of environmental systems science and information technology
Dissemination of knowledge on techniques, methods, approaches and experiences to improve the environment
Development and application of environmental software, information and decision support systems
The design and development of single medium and multimedia monitoring systems, sampling techniques, optimization of monitoring networks, data handling, quality and assurance procedures, operational costs.
The scientific basis for monitoring: scaling methods, the use of biological indicators, dynamic and commitment models, pollution indices, etc.
Exposure assessment: the development of monitoring systems which allow direct or indirect estimates of pollutant exposure to critical receptors.
Monitoring systems designed to detect changes in land use patterns.
Ecological System Modeling
Geographic Information Systems
Global climate change
Soil air and water quality models
Buildings by developing ICT-centred
solutions for improving the
energy-efficiency of buildings.
Smart Industries including the development of ICT-centred solutions for improving the energy efficiency and predictability of energy intensive industrial processes, without compromising process and product quality.
Smart energy networks by developing ICT-centred solutions for coordinating the supply and demand in environmentally sustainable energy networks.
Data analytics for energy-cost efficient system operation
Privacy issues in energy data management
Digital technologies for enabling energy-aware user behavior
Contextual computing for supporting human and energy system interactions
Energy-efficient cloud computing and data centers
Cyber security issues for safe and reliable smart grid operation
Social media’s role in the transition towards sustainable energy
Application of artificial intelligence and agent-based technology in smart energy systems
Model-based and data-driven energy forecasting, including energy production and use
Smart grid communication architectures and protocols for improving grid resiliency, including graceful degradation and self-healing
Monitoring and control of smart buildings, including smart grid interoperability
ICT for future energy systems, sector coupling and the integration of intermittent renewable generation
Information and decision support systems for future energy markets and mechanisms
Energy system modelling and (open) energy system data
Protocols and architectures for IT systems in the energy sector
Data analytics and machine learning for smart energy systems and decentralised decision making, as well as platforms for data analysis
Open data and software for energy research
ICT for (multi-) energy networks and micro-grids
Energy-efficient mobility, charging management for electric vehicles, energy-aware traffic control, and smart grid integration of mobile storage
Smart buildings, digital metering, occupant comfort, and user interaction
Adoption of ICT in the energy sector
Cross-cutting issues including cyber security and privacy protection, interoperability, verification of networked smart grid systems