Research/art/teacher profile of a person
Name and surname:
Mgr. Samuel Rosa, 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

I. - Basic information

I.1 - Surname
Rosa
I.2 - Name
Samuel
I.3 - Degrees
Mgr., PhD.
I.4 - Year of birth
1991
I.5 - Name of the workplace
Department of Applied Mathematics and Statistics, Faculty of Mathematics, Physics and Informatics, Comenius University Bratislava
I.6 - Address of the workplace
Mlynská dolina M, 842 48 Bratislava
I.7 - Position
Assistant professor
I.8 - E-mail address
samuel.rosa@fmph.uniba.sk
I.9 - Hyperlink to the entry of a person in the Register of university staff
https://www.portalvs.sk/regzam/detail/29919
I.10 - Name of the study field in which a person works at the university
mathematics
I.11 - ORCID iD
https://orcid.org/0009-0003-8286-045X

II. - Higher education and further qualification growth

II.1 - First degree of higher education
II.a - Name of the university or institution
Comenius University in Bratislava
II.b - Year
2012
II.c - Study field and programme
Applied mathematics, Economic and financial mathematics
II.2 - Second degree of higher education
II.a - Name of the university or institution
Comenius University in Bratislava
II.b - Year
2014
II.c - Study field and programme
Applied mathematics, Economic and financial mathematics
II.3 - Third degree of higher education
II.a - Name of the university or institution
Comenius University in Bratislava
II.b - Year
2018
II.c - Study field and programme
Applied mathematics, 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
Assistant professor Faculty of mathematics, physics and informatics, Comenius University in Bratislava 2018 -

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.1.a - Name of the profile course V.1.b - Study programme V.1.c - Degree V.1.d - Field of study
Principles of data science Data science I. Computer Science
Matrix algebra for statisticians Insurance mathematics I. Mathematics
Matrix algebra for statisticians Data science I. Computer Science
Data dimensionality reduction Probability and mathematical statistics, Mathematical economics, finance and modelling II. Mathematics
Regression models Probability and mathematical statistics II. Mathematics
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)
3
V.4.b - Diploma (second degree)
3
V.4.c - Dissertation (third degree)
0
V.4.2 - Number of defended theses
V.4.a - Bachelor's (first degree)
12
V.4.b - Diploma (second degree)
9
V.4.c - Dissertation (third degree)
0
V.5 - Overview of other courses taught in the current academic year according to study programmes
V.5.a - Name of the course V.5.b - Study programme V.5.c - Degree V.5.d - Field of study
Optimization and Computational Methods Insurance Mathematics, Mathematics I. Mathematics

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
14
VI.1.b - Over the last six years
11
VI.1.2 - Number of the research/artistic/other outputs registered in the Web of Science or Scopus databases
VI.1.a - Overall
14
VI.1.b - Over the last six years
11
VI.1.3 - Number of citations corresponding to the research/artistic/other outputs
VI.1.a - Overall
28
VI.1.b - Over the last six years
26
VI.1.4 - Number of citations registered in the Web of Science or Scopus databases
VI.1.a - Overall
25
VI.1.b - Over the last six years
23
VI.1.5 - Number of invited lectures at the international, national level
VI.1.a - Overall
3
VI.1.b - Over the last six years
3
VI.2 - The most significant research/artistic/other outputs
1

Rosa S, Harman R (2017): Optimal approximate designs for comparison with control in dose-escalation studies, Test, Vol. 26, pp. 638-660

2

Harman R, Filová L, Rosa S (2021): Optimal design of multifactor experiments via grid exploration, Statistics and Computing, Vol. 31, 70

3

Rosa S (2018): Optimal designs for treatment comparisons represented by graphs, AStA Advances in Statistical Analysis, Vol. 102, pp. 479-503

4

Rosa S, Harman R (2016): Optimal approximate designs for estimating treatment contrasts resistant to nuisance effects, Statistical Papers, Vol. 57, pp. 1077-1106

5

Rosa S (2019): Equivalence of weighted and partial optimality of experimental designs, Metrika, Vol. 82, pp. 719-732

VI.3 - The most significant research/artistic/other outputs over the last six years
1

Harman R, Filová L, Rosa S (2021): Optimal design of multifactor experiments via grid exploration, Statistics and Computing, Vol. 31, 70

2

Rosa S. (2023): Toward more numerically stable computations of optimal experimental designs, Communications in Statistics - Simulation and Computation, Volume 53, pp. 6174-6188

3

Rosa S (2019): Equivalence of weighted and partial optimality of experimental designs, Metrika, Vol. 82, pp. 719-732

4

Harman R., Rosa S. (2020): On greedy heuristics for computing D-efficient saturated subsets, Operations Research Letters, Volume 48, pp. 122-129

5

Rosa S., Harman R. (2022): Computing minimum-volume enclosing ellipsoids for large datasets, Computational Statistics and Data Analysis, Volume 171, 107452

VI.4 - The most significant citations corresponding to the research/artistic/other outputs
1

Rosa S, Harman R (2016): Optimal approximate designs for estimating treatment contrasts resistant to nuisance effects, Statistical Papers, Vol. 57, pp. 1077-1106. CITATION: 2016 - Wang, Y. - Ai, M. - Optimal designs for multiple treatments with unequal variances. - In: Journal of Statistical Planning and Inference, Vol. 171, 2016 ; s. 175-183 ; SCOPUS

2

Rosa S, Harman R (2016): Optimal approximate designs for estimating treatment contrasts resistant to nuisance effects, Statistical Papers, Vol. 57, pp. 1077-1106. CITATION: 2019 - Donev, A. N. - Sammut-Powell, C. - Designing experiments in cycles. - In: Chemometrics and Intelligent Laboratory Systems, Vol. 184, 2019 ; s. 64-70 ; SCI ; SCOPUS

3

Rosa S (2018): Optimal designs for treatment comparisons represented by graphs, AStA Advances in Statistical Analysis, Vol. 102, pp. 479-503. CITATION: 2019 - Singh, S. P. - Davidov, O. - On the design of experiments with ordered treatments. - In: Journal of the Royal Statistical Society. Series B: Statistical Methodology, Vol. 81, No. 5, 2019 ; s. 881-900 ; SCI ; SCOPUS

4

Harman R, Rosa S (2019): Removal of the points that do not support an E-optimal experimental design, Statistics & Probability Letters, Vol. 147, pp. 83-89. CITATION: 2021 - Pronzato, L. - Sagnol, G. - Removing inessential points in c-and A-optimal design. - In: Journal of Statistical Planning and Inference, Vol. 213, 2021 ; s. 233-252 ; SCI ; SCOPUS

5

Rosa S (2019): Equivalence of weighted and partial optimality of experimental designs, Metrika, Vol. 82, pp. 719-732. CITATION: 2021 Limmun, W. - Chomtee, B. - Borkowski, J. J.: Using geometric mean to compute robust mixture designs. In: Quality and Reliability Engineering International, Vol. 37, No. 8, 2021, s. 3441-3464 - SCI ; SCOPUS

VI.5 - Participation in conducting (leading) the most important research projects or art projects over the last six years
1

VEGA 1/0341/19, 2019-2021, Methods of optimal experimental design, scientific co-worker

2

VEGA 1/0362/22, 2022-2024, Applications of optimal statistical design of experiments in machine learning, scientific co-worker

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

VII.a - Activity, position VII.b - Name of the institution, board VII.c - Duration
member Academic senate of Faculty of mathematics, physics and informatics, Comenius University in Bratislava 2022-

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

IX.a - If relevant, other activities related to higher education or research/artistic/other activities are mentioned

Reviewer for various scientific journals. Member of the committee for state exams and thesis defense (Insurance mathematics, Probability and mathematical statistics). Member of organizing committees of scientific conferences.

Date of last update
2025-01-26