Joint Laboratory FM VŠE and UTIA CAS – SALOME III

Building on a long-standing collaboration that began in 1997, the Faculty of Management at the Prague University of Economics and Business (FM VŠE) and the Institute of Information Theory and Automation of the Czech Academy of Sciences (UTIA CAS) have established a joint research initiative—SALOME III.

Mission

The mission of the SALOME III laboratory is to advance research in mathematical methods for data processing and evaluation, with a strong focus on their application in management and decision-making. The lab is dedicated not only to the development of theoretical insights but also to the education of future experts, researchers, and academics. It offers PhD students from both institutions a unique opportunity to gain practical experience and participate in high-level research as part of a collaborative doctoral program.

The partnership reflects a shared commitment to both research and education. FM VŠE brings strong expertise in economics and management, while UTIA is a leading institution in the fields of information theory and automation. Together, they form a dynamic environment for fostering innovative approaches in support of managerial decision-making.

Members

PhD Supervision

Ing. Jiří Filip, Ph.D.
Research areas: Measurement, modeling, and analysis of human perception of materials; application of deep learning methods in material appearance analysis
Example topics:
The role of visual and tactile material properties in e-commerce
Generative modeling of product appearance in varying environments

prof. Ing. Jan Flusser, DrSc.
Research areas: Artificial intelligence, multidimensional data processing, pattern recognition, decision support
Example topics:
Analysis and fusion of heterogeneous multidimensional data for decision-making support

Selected PhD Graduates Supervised by UTIA Faculty

Joint Research Outputs

A key outcome of the collaboration was the joint submission of the project proposal “Information Engineering for the Future” to the OP JAK Excellent Research programme in 2023. Despite receiving positive evaluations and meeting all eligibility criteria, the proposal was not selected for funding.

  • BRANDA, Martin, HENRION, René, PIŠTĚK, Miroslav. Value at Risk Approach to Producer’s Best Response in an Electricity Market with Uncertain Demand. Optimization – A Journal of Mathematical Programming and Operations Research [online]. 2023, roč. 72, č. 11, s. 2745–2767. ISSN 0233-1934. DOI: 10.1080/02331934.2022.2076232.
    [IF a AIS 2022: 2.200 | 0.708] [SJR 2022: 0.889] [FORD-AIS-Q 2022: Q2 (10100)]
  • JIROUŠEK, Radim, KRATOCHVÍL, Václav, SHENOY, Prakash P. Computing the decomposable entropy of belief-function graphical models. International Journal of Approximate Reasoning [online]. 2023, č. 161, č. čl. 108984. 21 s. eISSN 0888-613X. ISSN 1873-4731. DOI: 10.1016/j.ijar.2023.108984. Dostupné také z: https://www.sciencedirect.com/science/article/pii/S0888613X23001159?via%3Dihub.
    [SJR 2022: 0.978]
  • JIROUŠEK, Radim, KRATOCHVÍL, Václav, SHENOY, Prakash P. On conditional belief functions in directed graphical models in the Dempster-Shafer theory. International Journal of Approximate Reasoning [online]. 2023, č. 160, č. čl. 108976. 15 s. eISSN 0888-613X. ISSN 1873-4731. DOI: 10.1016/j.ijar.2023.108976. Dostupné také z: https://www.sciencedirect.com/science/article/pii/S0888613X2300107X?via%3Dihub.
    [SJR 2022: 0.978]
  • ABDULHUSSAIN, Sadiq H., MAHMMOD, Basheera M., ALGHADHBAN, Amer, FLUSSER, Jan. Face Recognition Algorithm Based on Fast Computation of Orthogonal Moments. Mathematics [online]. 2022, roč. 10, č. 15, č. čl. 2721. 28 s. eISSN 2227-7390. DOI: 10.3390/math10152721.
    [IF a AIS 2022: 2.400 | 0.368] [SJR 2022: 0.446] [FORD-AIS-Q 2022: Q4 (10100)]
  • ABDULHUSSAIN, Sadiq H., MAHMMOD, Basheera M., FLUSSER, Jan, AL-UTAIBI, Khaled A., SAIT, Sadiq M. Fast Overlapping Block Processing Algorithm for Feature Extraction. Symmetry [online]. 2022, roč. 14, č. 4, č. čl. 715. 13 s. eISSN 2073-8994. DOI: 10.3390/sym14040715.
    [IF a AIS 2022: 2.700 | 0.406] [SJR 2022: 0.483] [FORD-AIS-Q 2022: Q3 (10700)]
  • CARPITELLA, Silvia, INUIGUCHI, Masahiro, KRATOCHVÍL, Václav, PIŠTĚK, Miroslav. Multi-Criteria Decision Analysis Without Consistency in Pairwise Comparisons. Computers & Industrial Engineering [online]. 2022, roč. 168, č. čl. 108089. 11 s. ISSN 0360-8352. DOI: 10.1016/j.cie.2022.108089. Dostupné také z: https://www.sciencedirect.com/science/article/abs/pii/S0360835222001590?via%3Dihub.
    [IF a AIS 2022: 7.900 | 1.139] [SJR 2022: 1.760] [FORD-AIS-Q 2022: Q1 D2 (21100)]
  • JIROUŠEK, Radim, KRATOCHVÍL, Václav, SHENOY, Prakash P. Entropy for Evaluation of Dempster-Shafer Belief Function Models. International Journal of Approximate Reasoning [online]. 2022, roč. 151, s. 164–181. eISSN 0888-613X. DOI: 10.1016/j.ijar.2022.09.009. Dostupné také z: https://www.sciencedirect.com/science/article/abs/pii/S0888613X22001463?via%3Dihub.
    [IF a AIS 2022: 3.900 | 0.721] [SJR 2022: 0.978] [FORD-AIS-Q 2022: Q2 (10200)]
  • BÍNA, Vladislav, KRATOCHVÍL, Václav, JIROUŠEK, Radim. Foundations of Compositional Models: Inference. International Journal of General Systems [online]. 2021, roč. 50, č. 4, s. 409–433. eISSN 1563-5104. ISSN 0308-1079. DOI: 10.1080/03081079.2021.1895142.
    [IF a AIS 2021: 2.435 | 0.417] [SJR 2021: 0.720] [FORD-AIS-Q 2021: Q3 (10200)]
  • HONARVAR SHAKIBAEI ASLI, B., FLUSSER, Jan, ZHAO, Y., ERKOYUNCU, J. A., BANERJEE KRISHNAN, K., FARROKHI, Y., ROY, R. Ultrasound Image Filtering and Reconstruction Using DCT/IDCT Filter Structure. IEEE Access [online]. 2020, roč. 8, s. 141342–141357. ISSN 2169-3536. DOI: 10.1109/ACCESS.2020.3011970. Dostupné také z: https://ieeexplore.ieee.org/document/9149615.
    [IF a AIS 2020: 3.367 | 0.592] [SJR 2020: 0.587] [FORD-AIS-Q 2020: Q2 (20200)]
  • JIROUŠEK, Radim, KRATOCHVÍL, Václav, RAUH, Johannes. A note on the approximation of Shenoy’s expectation operator using probabilistic transforms. International Journal of General Systems [online]. 2020, roč. 49, č. 1, s. 48–63. ISSN 0308-1079. DOI: 10.1080/03081079.2019.1692006.
    [IF a AIS 2020: 2.080 | 0.430] [SJR 2020: 0.482] [FORD-AIS-Q 2020: Q3 (10200)]
  • JIROUŠEK, Radim, KRATOCHVÍL, Václav. On Subjective Expected Value under Ambiguity. International Journal of Approximate Reasoning [online]. 2020, roč. 127, č. 1, s. 70–82. eISSN 1873-4731. ISSN 0888-613X. DOI: 10.1016/j.ijar.2020.09.002. Dostupné také z: https://www.sciencedirect.com/science/article/abs/pii/S0888613X20302346?via%3Dihub.
    [IF a AIS 2020: 3.816 | 0.727] [SJR 2020: 1.039] [FORD-AIS-Q 2020: Q2 (10200)]
  • KOSTKOVÁ, Jitka, FLUSSER, Jan. Robust Multivariate Density Estimation under Gaussian Noise. Multidimensional Systems and Signal Processing [online]. 2020, roč. 31, č. 3, s. 1113–1143. eISSN 1573-0824. ISSN 0923-6082. DOI: 10.1007/s11045-020-00702-7.
    [IF a AIS 2020: 2.030 | 0.410] [SJR 2020: 0.337] [FORD-AIS-Q 2020: Q3 (10200, 20200)]
  • BARMAK, Honarvar Shakibaei Asli, FLUSSER, Jan, ZHA, Yifan, ERKOYNCU, John Ahmet. Filter-generating system of Zernike polynomials. Automatica [online]. 2019, č. 108. 10 s. ISSN 0005-1098. DOI: 10.1016/j.automatica.2019.108498. Dostupné také z: https://www.researchgate.net/publication/335031753_Filter-generating_system_of_Zernike_polynomials.
    [IF a AIS 2019: 5.541 | 2.350] [SJR 2019: 3.984] [FORD-AIS-Q 2019: Q1 D1 (20200)]