The Faculty Succeeded in independent H23 evaluation by the Research, Development and Innovation Council
In October 2023 (H23) we nominated 16 R&D results within the Module 1 - Quality of Selected Results, that is part of annual evolution of research organizations, within the Methodology17+, Methodology for Evaluating Research Organisations and Research, Development and Innovation Purpose-tied Aid Programmes.
We continue in increasing the recondition of our R&D results as for this year we received grade 1 “world-leading” for the journal paper “VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images” by Sekuboyina, Anjany at el. (doi: 10.1016/j.media.2021.102166), nominated in the category Contribution to knowledge.
The overview of other evaluated results nominated either in the category Contribution to knowledge (CK) or Social relevance (SR) and their grades is in the table below.
The Faculty thanks to all researchers that contribute to the success and recognition of our R&D activities.
|
R&D result |
Category |
Grade |
|
Research work related to the optimal design of temperature ratios in the switchgear (Summary research report) |
SR |
3 |
|
Development of a pressure sensor and suitable battery for orthopedic insoles (Summary research report) |
SR |
3 |
|
Squirrel Cage Rotor Design and Manufacturing for High-Speed Applications (Journal paper) |
CK |
2 |
|
Performance analysis of GaAs based solar cells under gamma irradiation (Journal paper) |
CK |
4 |
|
A Sample ARC Detector and protection against electric shock Panel (Functional sample) |
SR |
4 |
|
Modelling biogenic amines in fish meat in Central Europe using censored distributions (Journal paper) |
CK |
3 |
|
Position-Specific Statistics of 60 GHz Vehicular Channels During Overtaking (Journal paper) |
CK |
3 |
|
Prototype FV20335 3f ASM 180 W (Prototype) |
SR |
3 |
|
Prototype Ray3- 80 (Prototype) |
SR |
2 |
|
Non-invasive brain stimulation for speech in Parkinson’s disease: A randomized controlled trial (Journal paper) |
CK |
2 |
|
CK |
2 |
|
|
VerSe: A Vertebrae Labelling and Segmentation Benchmark for Multi-detector CT Images (Journal paper) |
CK |
1 |
|
ČEPS ARTIC, software for energy grid monitoring (Software) |
SR |
to be evaluated within H24 |
|
A set of switchboards for a specialized test system designed for testing the compliance of power generating equipment, units and modules in category A1 (Pilot plant) |
SR |
3 |
|
Methodology for verifying and demonstrating compliance of power generating plants with requirements (Approved methodology) |
SR |
3 |
|
Software for visualization (software) |
SR |
2 |
The full list of evaluation results of the R&D results nominated within H23 by other research institutions from the Czech Republic can be found here, where also the results for the previous evaluations can be found.
Briefly about the Module 1 evaluation
The research initiations annually select a set of R&D results that already have the impact to society, or have high potential to reach such impact soon. After preparing a self-evaluation report justifying the impact of our R&D results, they are subsequently assessed by an expert panel within the review procedure, processed by the Office of the Government. The nominated results are evaluated either in the category Contribution to knowledge or Social relevance.
Results nominated in the category Contribution to knowledge are rather results of basic research that are further investigated in term of possible implementation in applied research oriented research. Results nominated in the category Social relevance are expected to have already society-economic impact.
For both categories, a 5 level qualitative grading is defined. For Contribution to knowledge the grades are world-leading, excellent, internationally recognized, nationally recognized, and inadequate. For Social relevance the grades are world-leading, excellent, very good, average, and below average.
For more information about the evaluation of research institutions, please follow this link.
| Responsible person | prof. Ing. Jaroslav Koton, Ph.D. |
|---|---|
| Date of publication |