Current research projects

In the last five years, DCSE members have taken part in the projects of the Czech Science Agency (GA ČR), Grant Agency of the Academy of Sciences of the Czech Republic, Ministry of Education (MŠMT), and Ministry of Industry and Trade (MPO). Furthermore, we participate in European projects within the 6th Framework Programme (6FP) and European Social Fund (ESF). You can find more details on past projects on the Web sites of individual research groups.

Department of Computer Science and Engineering participates in the project of the European Centre of Excellence NTIS (New Technologies for the Information Society) in the form of the research program P2: Advanced computer and information systems.

 

Overview of current projects:


Projects starting in the year 2026


Platform for the management and monitoring of printing machines with artificial intelligence (PRISM)

Principal investigator: Techniservis s.r.o.
Investigator: Ing. Martin Dostal, Ph.D.
Project number: CZ.01.01.01/01/24_062/0007452
Duration: 1.3.2026 - 30.6.2027
Grantor: MPO, program OP TAK Aplikace 2

Annotation: The aim of the project is to develop an intelligent platform for customer management in the field of outsourced printing services using AI. The developed PRISM platform will serve both the needs of the beneficiary and as a licensed product for service companies in a B2B model. Thanks to the use of advanced artificial intelligence algorithms and machine learning, it will enable efficient management of printing devices, cost optimization, and automation of key processes.


Projects starting in the year 2025


Coordinate-based representation of time-varying meshes

Principal investigator: Prof. Ing. Libor Váša, Ph.D.
Project number: 25-16495K
Duration: 1. 4. 2025 - 31.3.2028
Grantor: GA ČR

Annotation: Current 3D capture technology acquires moving objects with high quality. However, theresulting data is temporally incoherent, since each frame is treated separately duringreconstruction, giving sequences of triangle meshes with changing connectivity, known as timevaryingmeshes (TVMs). While TVMs can model topology changes, it is very hard to establishcorrespondences between the individual frames, which is important for downstream tasks likecompression and editing. This project aims to overcome this limitation by investigating twonovel coordinate-based representations of TVMs. First, we will explore the use of barycentriccoordinates to describe the TVMs relative to a dynamic cage, which is itself a polyhedral meshof constant connectivity chosen such that it approximates the shape of the TVM in each frame.Second, we will study the use of geodesic distance coordinates with respect to a certain set ofpoints with time-invariant position relative to the observed shape. These coordinates areparticularly useful for objects that undergo near-isometric deformations.


Platform for monitoring, optimization, and management of energy consumption using artificial intelligence in industrial manufacturing.

Principal investigator: DATEX Control Systems, spol. s r.o.
Investigator: Ing. Martin Dostal, Ph.D.
Project number: CZ.01.01.01/01/24_062/0006664
Duration: 1.12.2025 - 31.5.2027
Grantor: MPO, program OP TAK Aplikace 2

Annotation: The aim of the project is to develop an innovative platform for monitoring, control, and optimization of energy consumption in industrial manufacturing using artificial intelligence. The platform will consist of three new software modules – IoT Data Collector, AI Prediction and Balance, and ESG Utility Management – which will be integrated into the existing UMIS (Utility Management Information System).

 

Aktualizováno 2022-05-23 11:50:59