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Projects funded by Providers as Part of the State Budget of the Czech Republic

1. NCC for industrial 3D printing

2. AiVRT - Application of neural networks in the identification of rock environment during deep core drilling

3. MedOps AI Box

Projects funded by providers such as the Czech Science Foundation (GACR), Technology Agency of the Czech Republic (TACR) or the Ministry of Education, Youth and Sports (MSMT) that have their own budget section in the state budget. Other providers include, for example, the Ministry of Industry and Trade, Ministry of Culture, or regional authorities. These are projects where the proposer (typically the Czech Science Foundation) sets the objective and methods, or more frequently, projects where the provider defines the objectives

   

NCC for industrial 3D printing

Project Identification:
TA CR NCK (TN02000033)

Consortium:
TUL-CXI, ŠA a.s., Entry Engineering s.r.o., Prusa Polymers a.s., Narran s.r.o., Červenka Consulting s.r.o., ŠAVŠ, VUT-CEITEC, Siemens s.r.o., VŠCHT-FCHT, ČVUT-KÚ, ORLEN UniCRE a.s., Krajská nemocnice Liberec a.s., Dřevoplast Ludvík s.r.o., Azu design s.r.o., Clean-air s.r.o., Brainhot Technologies s.r.o., ARIES a.s., Meretech s.r.o., ProSpon, spol. s.r.o., Scoolpt s.r.o., GZR plast s.r.o., Electroforming s.r.o., TriLAB Group s.r.o., Prusa Development a.s., IQS nano s.r.o.  

Main ŠAVŠ Investigator:
prof. Ing. Radim Lenort, Ph.D.

Project Duration:
2023–2028

Project Budget:
CZK 10.502 thousands

Project Description:
The main objective of the project is to increase the potential of additive technologies through the efficient and environmentally friendly use of raw materials or energy, the development of materials with specific properties and creation of new products, the design of appropriate technologies, and the use of digitalisation enabling a high degree of optimisation. It will be achieved through sub-projects involving at least 26 partners and resulting in at least 80 applied research results with high implementation potential. Another objective is to create a platform using the multiplier effect of interdisciplinary networking of R&D organisations and industrial leaders, which will help the long-term and sustainable development of additive technologies in the Czech Republic, and increase its competitiveness.

This project is co-financed from the state budget by the Technology Agency of the Czech Republic within the National Centres of Competence Programme.

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AiVRT - Application of neural networks in the identification of rock environment during deep core drilling

Support Provider:
Ministry of Industry and Trade of the Czech Republic within the Operational Program Technology and Applications for Competitiveness (OP TAK)

Project Identification:
CZ.01.01.01/01/24_062/0007536

Consortium:
TERAMED s.r.o.

Main ŠAVŠ Investigator:
prof. Ing. Vojtěch Dynybyl, Ph.D.

Project Duration:
2026–2027 

Project Budget:
CZK 2.195 thousands

Project Description:
The aim of the project is to support the development of an innovative digital solution in the field of geological and civil engineering surveying through the development of a new digital solution for identifying the rock environment during deep core drilling.
Project outputs:
   - AiVRT digital solution – a procedure for processing measured data, which aims to identify the drilled material;
   - pilot operation of connecting a drill that measures drilling parameters with a data processing procedure;
   - a neural network – is designed for the above-mentioned data processing.

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Co-funded by the European Union   

   

MedOps AI Box

Support Provider:
Ministry of Industry and Trade of the Czech Republic within the Operational Program Technology and Applications for Competitiveness (OP TAK)

Project Identification:
CZ.01.01.01-01-24_062-0007257

Consortium:
Cexbit s.r.o.

Main ŠAVŠ Investigator:
doc. Ing. Robert Frischer, Ph.D.

Project Duration:
2026–2027 

Project Budget:
CZK 6.965 thousands

Project Description:
The MedOps AI Box project aims to develop a modular, scalable and affordable AI system that will enable hospitals to process unstructured healthcare data, to ensure legal and technical interoperability with EHR, LIS and PACS systems, to manage patient consent digitally and transparently using ODRL, and to integrate AI models and knowledge graphs to support clinical decision-making. The system integrates directly into hospital systems, ensures regulatory compliance, improves operational efficiency and enables secondary use of data for research.
Main project output:
   - MedOps AI Box digital solution – a comprehensive solution for processing unstructured healthcare data in hospitals.

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Co-funded by the European Union