About

Under the auspices of CGI’27 (July 5-9, 2027), ENGAGE2027 on July 5th in Cairns, Australia,  will again provide a multi-disciplinary approach from mathematics applied to computer graphics, computer vision and general computer science fields, where GA has strong potential to answer existing mathematical problems.

Geometric algebra is particularly well suited to allow cross-disciplinary solutions in software engineering as it provides an intuitive and insightful common denominator across mathematical disciplines used in a variety of applications. Understanding GA enables us to relate distinct, seemingly incompatible paths by providing a common geometric and mathematical base.

Deadlines

All deadlines are 23:59 GMT on the date stated.

  • Submission Deadline: April 20, 2027
  • Preliminary Notification to Authors : May 15, 2027
  • Submission Deadline of Revised Papers: May 31, 2027
  • Final Notification of Revised papers: June 05, 2027

Sponsors of ENGAGE27

ORamaVR is a Swiss, deep-tech spatial-computing company that seeks to transform the landscape of global healthcare. ORamaVR commenced as a spin-off startup from ICS-FORTH and was co-founded by Dr. George Papagianankis, Prof. Eleftherios Tsiridis and Prof. Panos Trahanias, with a massive transformational purpose. With the most innovative low-code (and soon no-code Generative AI for XR training) MAGES-SDK platform, ORamaVR is democratizing the creation of high-fidelity medical XR simulations, making them more accessible and cost-effective than ever before.

         

GACRAC (Geometric Algebra Computing Research and Application Center) is a research center that focuses on advancing geometric algebra computing techniques and their practical applications, such as in spatio-temporal data analysis, GIS and Geometric Algebra implementations. It was co-founded by Dr. Dietmar Hildenbrand and Prof. Yu Zhaoyuan.  

Springer Nature publishes the journal Advances in Applied Clifford Algebras (AACA), which publishes the topical collection ENGAGE 2027, and Springer Nature contributes book prizes for the ENGAGE 2027 awardees.


Awards

We are glad to renew the Geometric Algebra Computing Award, designed to spotlight and encourage cutting-edge GA prototypes and implementations. Building on our commitment to innovation, we also continue to present the Best Presentation Awards, recognizing outstanding research contributions.

Note that first place winners of both the Geometric Algebra Application and Computing Award and Best Presentation awards will receive a prize of 100 Euros. The decision for the Best Presentation award is taken unanimously by members of the ENGAGE Organizing Committee, while the decision for the Geometric Algebra Application and Computing Award award is taken by the Geometric Algebra Application and Computing Award Award Committee. 

Committee

The ENGAGE 2027 committee list is:

    • Kamron Abdulkhaev 
    • Andreas Aristidou
    • Werner Benger 
    • Stephane Breuils
    • Hugo Hadfield 
    • Dietmar Hildenbrand
    • Eckhard Hitzer
    • Xiao-Xiao Hu 
    • Manos Kamarianakis 
    • Adam Leon Kleppe 
    • Kit Ian Kou 
    • Joan Lasenby 
    • Vincent Nozick
    • George Papagiannakis
    • Dmitry Shirokov
    • Kanta Tachibana
    • Lars Tingelstad
    • Petr Vasik
    • Zhaoyuan Yu

Committee for the Geometric Algebra Application and Computing Award is:

Topics

Topics will include, but are not limited to:
  • Neural networks
  • Feature detection & Data analysis
  • LIDAR and point cloud algorithms
  • Scientific & Information visualization
  • Computer graphics rendering
  • Computer animation and video processing
  • Holographic optics & Holographic maps
  • Geographic information systems GIS
  • Soundscape & Electromagnetic landscape modelling
  • Augmented and virtual reality
  • Application of Clifford Fourier transforms and Clifford wavelets to 2D and 3D images/color images
  • Higher dimensional geometric algebras, octonions
  • GA computing and quantum computing
  • GA hardware implementations
  • GA for ubiquitous information processing
  • GA for Big Data processing & visualization
  • Other engineering/science applications using GA

History and Previous Award