I. - Basic information

I.1 - Surname

Jakubík

I.2 - Name

Jozef

I.3 - Degrees

Mgr., PhD.

I.4 - Year of birth

1989

I.5 - Name of the workplace

Institute of Measurement Science

I.6 - Address of the workplace

Dubravska cesta 9, 841 04, Bratislava, Slovakia

I.7 - Position

esearcher – scientific worker IIa

I.8 - E-mail address

jozef.jakubik.jefo@gmail.com

II. - Higher education and further qualification growth

II.1 - First degree of higher education

II.a - Name of the university or institution

Faculty of Mathematics, Physics and Informatics, Comenius University Bratislava

II.b - Year

2011

II.c - Study field and programme

Mathematics of Economy and Finance

II.2 - Second degree of higher education

II.a - Name of the university or institution

Faculty of Mathematics, Physics and Informatics, Comenius University Bratislava

II.b - Year

2013

II.c - Study field and programme

Mathematics of Economy and Finance

II.3 - Third degree of higher education

II.a - Name of the university or institution

Institute of Measurement Science

II.b - Year

2018

II.c - Study field and programme

Applied Mathematics

II.4 - Associate professor

II.5 - Professor

II.6 - Doctor of Science (DrSc.)

III. - Current and previous employment

III.a - Occupation-position	III.b - Institution	III.c - Duration
researcher – scientific worker IIa	Institute of Measurement Science, Slovak Academy of Sciences	2018-
Data Scientist (Machine Learning)	ESET	2017-2021

IV. - Development of pedagogical, professional, language, digital and other skills

V. - Overview of activities within the teaching career at the university

V.1 - Overview of the profile courses taught in the current academic year according to study programmes

V.2 - Overview of the responsibility for the delivery, development and quality assurance of the study programme or its part at the university in the current academic year

V.3 - Overview of the responsibility for the development and quality of the field of habilitation procedure and inaugural procedure in the current academic year

V.4 - Overview of supervised final theses

V.4.1 - Number of currently supervised theses

V.4.a - Bachelor's (first degree)

V.4.b - Diploma (second degree)

V.4.c - Dissertation (third degree)

V.4.2 - Number of defended theses

V.5 - Overview of other courses taught in the current academic year according to study programmes

VI. - Overview of the research/artistic/other outputs

VI.1 - Overview of the research/artistic/other outputs and the corresponding citations

VI.1.1 - Number of the research/artistic/other outputs

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.3 - Number of citations corresponding to the research/artistic/other outputs

VI.1.a - Overall

103

VI.1.b - Over the last six years

VI.1.4 - Number of citations registered in the Web of Science or Scopus databases

VI.1.a - Overall

VI.1.b - Over the last six years

VI.1.5 - Number of invited lectures at the international, national level

VI.2 - The most significant research/artistic/other outputs

JAKUBÍK, Jozef** – PHUONG, M. – CHVOSTEKOVÁ, Martina – KRAKOVSKÁ, Anna. Against the flow of time with multi-output models. In Measurement Science Review, 2023, vol. 23, no. 4, p. 175-183. (2022: 0.9 – IF, Q4 – JCR, 0.306 – SJR, Q3 – SJR). ISSN 1335-8871. Dostupné na: https://doi.org/10.2478/msr-2023-0023 (VEGA č. 2/0096/21 : Probability distributions and their applications in modelling and testing. VEGA č. 2/0023/22 : Causal analysis of measured signals and time series. APVV-21-0216 : Pokročilé matematické a štatistické metódy pre meranie a metrológiu.) Typ: ADDA

CHVOSTEKOVÁ, Martina** – JAKUBÍK, Jozef – KRAKOVSKÁ, Anna. Granger causality on forward and reversed time series. In Entropy, 2021, vol. 23, no. 4, p. 409. (2020: 2.524 – IF, Q2 – JCR, 0.468 – SJR, Q2 – SJR, karentované – CCC). (2021 – Current Contents). ISSN 1099-4300. Dostupné na: https://doi.org/10.3390/e23040409 Typ: ADCA

KRAKOVSKÁ, Anna** – JAKUBÍK, Jozef – CHVOSTEKOVÁ, Martina – COUFAL, D. – JAJCAY, N. – PALUŠ, M. Comparison of six methods for the detection of causality in a bivariate time series. In Physical Review E, 2018, vol. 97, art. no. 042207. (2017: 2.284 – IF, Q1 – JCR, 0.979 – SJR, Q1 – SJR, karentované – CCC). (2018 – Current Contents, WOS, SCOPUS). ISSN 2470-0045. Dostupné na: https://doi.org/10.1103/PhysRevE.97.042207 Typ: ADCA

VI.3 - The most significant research/artistic/other outputs over the last six years

VI.4 - The most significant citations corresponding to the research/artistic/other outputs

VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years

Causal analysis of measured signals and time seriesKauzálna analýza nameraných signálov a časových radovProgram:VEGADuration:1.1.2022 – 31.12.2025Project leader:RNDr. Krakovská Anna, CSc.Annotation:The project is focused on the causal analysis of measured time series and signals. It builds on the previous results of the team, concerning the generalization of the Granger test and the design of new tests in the reconstructed state spaces. The aim of the project is the development of new methods for bivariate and multidimensional causal analysis. We will see the investigated time series and signals as one-dimensional manifestations of complex systems or subsystems. We will also extend the detection of causality to multivariate cases – dynamic networks with nodes characterized by time series. Such complex networks are common in the real world. Biomedical applications are among the best known. Brain activity, determined by multichannel electroencephalographic signals, is a crucial example. We want to help show that causality research is currently at a stage that allows for ambitious goals in the study of effective connectivity (i.e., directed interactions, not structural or functional links) in the brain.

MATHMER – Advanced mathematical and statistical methods for measurement and metrologyPokročilé matematické a štatistické metódy pre meranie a metrológiuProgram:SRDADuration:1.7.2022 – 31.12.2025Project leader:Doc. RNDr. Witkovský Viktor, CSc.Annotation:Mathematical models and statistical methods for analysing measurement data, including the correct determination of measurement uncertainty, are key to expressing the reliability of measurements, which is a prerequisite for progress in science, industry, health, the environment and society in general. The aim of the project is to build on traditional metrological approaches and develop new alternative mathematical and statistical methods for modelling and analysing measurement data for technical and biomedical applications. The originality of the project lies in the application of modern mathematical methods for modelling and detecting dependence and causality, as well as statistical models, methods and algorithms for determining measurement uncertainty using advanced probabilistic and computational methods based on the use of the characteristic function approach (CFA). In contrast to traditional approximation and simulation methods, the proposed methods allow working with complex and at the same time accurate probabilistic measurement models and analytical methods. Particular emphasis is placed on stochastic methods for combining information from different independent sources, on modelling dependence and causality in dynamic processes, on accurate methods for determining the probability distribution of values that can be reasonably attributed to the measured quantity based on a combination of measurement results and expert knowledge, and on the development of methods for comparative calibration, including the probabilistic representation of measurement results with a calibrated instrument. An important part of the project is the development of advanced numerical methods and efficient algorithms for calculating complex probability distributions by combining and inverting characteristic functions. These methods are widely applicable in various fields of measurement and metrology. In this project they are applied to the calibration of temperature and pressure sensors.

VII. - Overview of organizational experience related to higher education and research/artistic/other activities

VIII. - Overview of international mobilities and visits oriented on education and research/artistic/other activities in the given field of study

IX. - Other relevant facts

Date of last update

2026-01-27

Name and surname:	Mgr. Jozef Jakubík, PhD.
Document type:	Research/art/teacher profile of a person
The name of the university:	Comenius University Bratislava
The seat of the university:	Šafárikovo námestie 6, 818 06 Bratislava