Our Projects

Metacomputing based modeling and computational geomery are used to generate and modulate manifolds and polytopes in 3D space for organic geometrical objects that can be 3D-printed. Visitors of the upcoming website will be able to enter their personal data (their family synthesis data or birthday or other personal information and the system will generate a unique object to represent a either 3D code of arms for the user’s family or a personal sculpture for a purpose of choice by the user, that can be ordered to be 3D printed via additive manufacturing and be delivered to his/her door.

On this upcoming website users will be able to use the biopotentials of their brain via a brain-computer interface (BCI) to drive a machine learning system that will be using computational geometry and ML-optimization principles for generating 3D shapes representing the effects of their thoughts on to the electrodynamic state of their scalp that can be subsequently 3D-printed via additive manufacturing.

The upcoming website for this project is documenting usage of metacomputing and robotic principles along with information theory, multidisciplinary software APIs along with acoustic wave generation, propagation and reception principles to prototype a system for remote controlling of uninhabited underwater robotic vehicles

This upcoming website will be implementing a system based on metacomputing via machine learning for determine the assembly sequence for precision model assembly of UUVs.

This upcoming website will be implementing a parametric design engine encapsulated by a metacomputing system that uses computational fluid dynamics, computational geometry and ML to generate hull shapes for RC submarine models optimized for minimum drag and other functional performance requirements, leading to STL file generation for 3D printing of these hulls.