The fast advancement of technology, particularly after the long wave of industrialization and artificial intelligence, has changed the way we see the universe. The process of breaking down complex issues into smaller pieces and addressing them individually makes the problem-solving process appear to be easier, simpler, and faster.

Faster application processing and problem-solving has been a turning point in countless of disciplines through the use of big-data analytics with effective tools such as predictive models, statistical algorithms, and what-if scenarios. For example, using a multi-processor in solving minor problems is far more efficient than using a single processor in solving a big issue. This is what gave birth to the concept of parallelism. This concept has, since then, become a priority in many fields of study such as in architecture, cloud computing, and programming, to name a few.

Through its 6^th edition of its international conference on Parallelism in Architecture, Engineering, and Computing Techniques (PACT), IEREK aims to both shed a light on the ways in which parallelism can be implemented and integrated and to unveil the new trends of architectural technologies and computational thinking that can adapt and improve finding a complex digital fabrication, augmented reality, and intelligent environments.

This conference will provide scientists, architects, academics, and all interested parties with a platform to discuss and present their latest research and ideas on parallelism as well as the rest of the topics that fall under the umbrella of the conference’s theme.

• 1. Parallels in Access: Gamification, Open-source, Interfaces, and Virtual Reality

  1.1 Advanced Graphics

  1.2 Computer Vision and Applications

  1.3 Gamification Techniques and Applications

  1.4 Open-source and Accessibility

  1.5 Virtual and Augmented Reality

  1.6 Projection Mapping

• 2. Parallels in Algorithms: Robotics, Artificial Intelligence, and Distributed Computing

  2.1 Distributed Computing and Data mining

  2.2 Cloud Computing

  2.3 Agent Based Methods

  2.4 Machine Learning and Artificial Intelligence

  2.5 High Performance Computing

  2.6 Heterogenous Architecture Systems

• 3. Parallels in Advanced Fabrication: Large Scale Additive. Manufacturing

  3.1 Large Scale Additive Manufacturing

  3.2 Advanced Fabrication

  3.3 Robotic Fabrication

  3.4 Generative Design

  3.5 Construction Automation and Tectonics

• 4. Parallels in Big Data: Digital Theory and New Sciences

  4.1 Digital Theory and New Sciences

  4.2 Digital Theory in Architecture

  4.3 History of Architecture and Computational Design

  4.4 Data-driven Computation

  4.5 Big Data

  4.6 New Sciences of Simulation and Optimization

• 5. Parallels in Urbanism: Parametric Design, Theory and Urbanism

  5.1 Parametric Urbanism

  5.2 Parametric Design

  5.3 Urban Theories

  5.4 Urban Analysis and Simulations

  5.5 Sustainable Urbanism

  5.6 Smart and Future Cities

• 6. Parallels in Construction: Materiality and Context

  6.1 Materiality and Context

  6.2 Sustainable Design

  6.3 Cities and Theories

  6.4 Construction

  6.5 Heritage Conservation and Management