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Scientific Program

29th EG-ICE International Workshop on Intelligent Computing in Engineering, Aarhus, Denmark, July 6-8, 2022

Scientific Program and Logisitcs

The final scientific program is available here. The individual papers (incl. DOI-links) and the whole proceedings book are accessible here. General information incl. logistics of the workshop can be found here.

Guidelines for Participants, Presenters and Session Chairs

  • We ask all the participants, presenters and session chairs to familiarize themselves with the format we envision for the EG-ICE 2022 workshop. Please read the instructions carefully as it will increase the quality of the event.

Areas of Interest

We are cordially inviting paper submissions that present new approaches, methodologies, and findings relating to computing in engineering, including but not limited to the following application areas:

Life-cycle support

  • Computer-enhanced engineering design
  • Building performance analysis
  • Enhancing sustainability and resilience
  • Geometric and parametric modeling
  • Visualization and simulations
  • Design and decision support systems

Advanced computing in engineering

  • Strategic aspects – opportunities and risks
  • Computational design
  • Data-driven design and engineering  
  • Machine learning
  • Computer vision
  • Virtual, augmented, and mixed reality
  • Quantum computing
  • Robust optimization

Automation and robotics

  • Human-robot collaboration
  • Advanced construction methods
  • Proactive runtime safety, health, and well-being
  • Breakthrough technologies

BIM and engineering ontologies

  • Building information modeling
  • Semantic modeling in AECO industry  
  • Ontology modeling and reasoning
  • Spatial reasoning
  • Graph algorithms
  • Code compliance checking

Monitoring and control algorithms in engineering

  • Sensor data interpretation
  • Progress monitoring and management
  • Building control systems
  • Active structures

Computer-supported construction management

  • Collaboration informatics
  • Scheduling
  • Discrete-event simulations
  • Process modeling

Engineering optimization and search

  • Design space exploration
  • Stochastic search
  • Generative design