IEEA 2026
Call for Papers
Informatics and Applications
High performance computing |
Environmental Informatics
| 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 |
Energy Informatics
| Smart
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 |