IEEA 2024

Call for Papers

The topics (e.g. on the web page) have been formulated with the least restrictions in mind; practically, however, the selection process will focus on innovative approaches that show unusual, novel or just clever combinations of computational and environmental research. Social or socioethical topics are not excluded, but do not form a main focus point of the conference.


Informatics and Applications

High Performance Computing
Human Computer Interaction
Communication and Mobile Computing
Distributed Systems
Computational Intelligence
Event Driven Programming
Computer Architecture and Embedded Systems
Expert Systems
Virtual Reality
Computer Graphics and Multimedia Multimedia Applications
Computer Modeling
Natural Language Processing
Computer Networks and Data Communication
Computer Simulation
Computer Vision
Computer-aided Design/Manufacturing
Computing Ethics
Computing Practices & Applications
Data Communications

Data Compression Technology in Education
Data Encryption Technology Management
Security & Cryptography
Database and Data Mining
Database Systems
Dependable, Reliable and Autonomic Computing
Reconfigurable Computing Systems
Digital Signal and Image Processing Wireless
Distributed and Parallel Processing
Image Processing
Information Retrieval
Internet and Web Applications
Knowledge Data Engineering
Networking and Communications
Neural Networks
Parallel and Distributed Computing
Ubiquitous and Pervasive Computing
Mobile Computing
Web-based information systems


Environmental Informatics

Planning of energy, environmental and ecological management systems
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
Environmental statistics and risk analysis
Climate modeling, downscaling, impact assessment, and adaptation planning
Other areas of environmental systems science and information technology
Management of geoenvironmental data and information systems
Dissemination of knowledge on techniques, methods, approaches and experiences to improve the environment
Development and application of environmental software, information and decision support systems
Issues and methods related to the integrated modeling, assessment and management of environmental systems - including relevant policy and institutional analysis, public participation principles and methods, decision making methods, model integration, quality assurance and evaluation of models, data and procedures.
Environmental Monitoring and Assessment
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.
Methods and procedures of pollution risk assessment, relating to sources, pathways of exposure, trends in time and space, anticipatory systems, evaluation of environmental quality and of management practice.
Monitoring systems designed to detect changes in land use patterns.
Ecological System Modeling
Environmental issues in rural and urban areas
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.
Innovation in data-driven energy services and business models
Big Data-driven smart Energy Management Systems
Management of data and information flow in the Digital Energy System 4.0
Data analytics for energy-cost efficient system operation
Privacy issues in energy data management
Digitalization of energy production, delivery and consumption, including policy and strategy
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
Management of public and private procurement of digital energy technology
Socioeconomic opportunities and barriers for adoption of digital energy technologies
Sociotechnical aspects related to design and implementation of smart energy systems
Innovation management in smart energy business eco-systems
Digital entrepreneurship in emerging energy markets
Smart grid communication architectures and protocols for improving grid resiliency, including graceful degradation and self-healing
Microgrid and distributed generation management and control
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
Management of distributed generation and demand side management
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