Name and surname:
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doc. Mgr. Radoslav Harman, PhD.
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Document type:
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Research/art/teacher profile of a person
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The name of the university:
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Comenius University Bratislava
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The seat of the university:
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Šafárikovo námestie 6, 818 06 Bratislava
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III.a - Occupation-position | III.b - Institution | III.c - Duration |
---|---|---|
Professor | Faculty of Mathematics and Physics, Comenius University in Bratislava | from 2015 |
Associate Professor | Faculty of Mathematics and Physics, Comenius University in Bratislava | 2012-2015 |
Assistant Professor | Faculty of Mathematics and Physics, Comenius University in Bratislava | 1997-2012 |
V.1.a - Name of the profile course | V.1.b - Study programme | V.1.c - Degree | V.1.d - Field of study |
---|---|---|---|
Simulation methods | Applied Mathematics | 3 | Mathematics |
Cluster analysis and data classification | Probability and Mathematical Statistics | 2 | Mathematics |
Experimental design | Probability and Mathematical Statistics | 2 | Mathematics |
Introduction to probability and statistics | Data Science | 1 | Informatics, Mathematics |
Matrix algebra for statisticians | Insurance Mathematics | 1 | Mathematics |
V.2.a - Name of the study programme | V.2.b - Degree | V.2.c - Field of study |
---|---|---|
Applied Mathematics (co-guarantor) | 3 | Mathematics |
Probability and Mathematical Statistics (guarantor) | 2 | Mathematics |
Insurance Mathematics (co-guarantor) | 1 | Mathematics |
Data Science (co-guarantor) | 1 | Informatics, Mathematics |
V.3.a - Name of the field of habilitation procedure and inaugural procedure | V.3.b - Study field to which it is assigned |
---|---|
Mathematics | Mathematics |
V.5.a - Name of the course | V.5.b - Study programme | V.5.c - Degree | V.5.d - Field of study |
---|---|---|---|
Nonlinear statistical models | Applied Mathematics | 3 | Mathematics |
Stochastic optimization methods | Probability and mathematical statistics | 2 | Mathematics |
Probabilistic and statistical methods in artificial intelligence | Probability and Statistics | 2 | Mathematics |
Diploma seminar (2) | Probability and mathematical statistics | 2 | Mathematics |
Harman R, Filová L, Richtárik P (2020): A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments, Journal of the American Statistical Association, Volume 115, pp. 348-361
Sagnol G, Harman R (2015): Computing exact D-optimal designs by mixed integer second-order cone programming, Annals of Statistics, Volume 43, pp. 2198–2224
Harman R, Lacko V (2010): On decompositional algorithms for uniform sampling from n-balls and n-spheres, Journal of Multivariate Analysis, Volume 101, pp. 2297-2304
Harman R, Jurík T (2008): Computing c-optimal experimental designs using the simplex method of linear programming, Computational Statistics & Data Analysis, Volume 53, pp. 247-254
Harman R, Pronzato L (2007): Improvements on removing non-optimal support points in D-optimum design algorithms, Statistics & Probability Letters, Volume 77, pp. 90-94
Harman R, Filová L, Rosa S (2024): The polytope of optimal approximate designs: extending the selection of informative experiments. Statistics and Computing, Volume 34, 211
Rosa S, Harman R (2022): Computing minimum-volume enclosing ellipsoids for large datasets, Computational Statistics & Data Analysis, Volume 171, 107452
Harman R, Filová L, Rosa S (2021): Optimal Design of Multifactor Experiments via Grid Exploration, Statistics and Computing, Volume 31, 70
Harman R, Filová L, Richtárik P (2020): A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments, Journal of the American Statistical Association, Volume 115, pp. 348-361
Harman R, Rosa S (2020): On greedy heuristics for computing D-efficient saturated subsets, Operations Research Letters, Volume 48, pp. 122-129
Output: ADC02 Harman, Radoslav (aut) [UKOMFKAMS] (50%) - Pronzato, Luc (aut) (50%): Improvements on removing nonoptimal support points in D-optimum design algorithms. In: Statistics & Probability Letters. - Vol. 77, No. 1 (2007), s. 90-94. - ISSN 0167-7152
Significant citation: [o1] 2016 Todd, M. J.: Minimum-Volume Ellipsoids: Theory and Algorithms. Philadelphia : SIAM, 2016
Output: ADC03 Harman, Radoslav (aut) [UKOMFKAMS] (50%) - Lacko, Vladimír (aut) [UKOMFKAMSd] (50%): On decompositional algorithms for uniform sampling from n-spheres and n-balls. In: Journal of Multivariate Analysis. - Vol. 101, No. 10 (2010), s. 2297-2304. - ISSN 0047-259X
Significant citation: [o1] 2018 ~ Laugel, T. - Lesot, M. J. - Marsala, C. - Renard, X. - Detyniecki, M.: Comparison-Based Inverse Classification for Interpretability in Machine Learning. In: Information Processing and Management of Uncertainty in Knowledge-BasedSystems: Theory and Foundations, Ipmu 2018, Part I : Communications in Computer and Information Science, Vol. 853. Berlin : Springer-Verlag Berlin, 2018, sS. 100-111
Output: ADC06 Sagnol, Guillaume (aut) (50%) - Harman, Radoslav (aut) [UKOMFKAMS] (50%): Computing exact D-optimal design by mixed integer second-order cone programming. In: Annals of Statistics. - Vol. 43, No. 5 (2015), s. 2198-2224. - ISSN 0090-5364
Significant citation: [o1] 2021 ~ Ahipasaoglu, S. D.: A branch-and-bound algorithm for the exact optimal experimental design problem. In: Statistics and Computing, Vol. 31, No. 5, 2021, art. no. 65 -- SCI ; SCOPUS
Output: ADC11 Harman, Radoslav (aut) [UKOMFKAMS] (50%) - Filová, Lenka (aut) [UKOMFKAMS] (30%) - Richtárik, Peter (aut) (20%): A Randomized Exchange Algorithm for Computing Optimal Approximate Designs of Experiments. In: Journal of the American Statistical Association. - Roč. 115, č. 529 (2020), s. 348-361
Significant citation: [n1] 2021 zz ~ Deldossi, L. - Tommasi, C.: Optimal design subsampling from Big Datasets. In: Journal of Quality Technology, vol. 54, no. 1, 2021, s. 93-101 -- SCI ; SCOPUS
Output: ADE06 Harman, Radoslav (aut) [UKOMFKAMS] (50%) - Štulajter, František (aut) [UKOMFKAMS] (50%): Optimality of equidistant sampling designs for the Brownian motion with a quadratic drift. In: Journal of Statistical Planning and Inference. - Vol. 141, No. 8 (2011), s. 2750-2758. - ISSN 0378-3758
Significant citation: [o3] 2015 ~ Dette, H. - Pepelyshev, A. Zhigljavsky, A.: Design for Linear Regression Models with Correlated Errors : Section II Designs for Linear Models. In: Handbook of Design and Analysis of Experiments : Chapman & Hall/CRC Handbooks of Modern Statistical Methods. Boca Raton : CRC Press-Taylor and Francis Group, 2015, S. 275
VEGA 1/0362/22 "Aplikácie štatistického navrhovania experimentov v strojovom učení", zodpovedný riešiteľ; "Applications of statistical experimental design in machine learning", principal investigator
VEGA 1/0341/19 2019-2021 "Metódy optimálneho navrhovania experimentov", zodpovedný riešiteľ; "Methods of optimal experimental design", principal investigator
VEGA 1/0521/16 2016-2018 "Metódy optimálneho navrhovania experimentov", zodpovedný riešiteľ; "Methods of optimal experimental design", principal investigator
VII.a - Activity, position | VII.b - Name of the institution, board | VII.c - Duration |
---|---|---|
Associate editor of Statistical Papers, Springer-Nature | Springer-Nature | from 2018 |
Member of the permanent board of the series of conferences "Model-oriented design and analysis of experiments" | - | from 2016 |
Member of the scientific board of FMPI CU | Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava | from 2015 |
Member of the scientific board of the Slovak mathematical society | Slovak Mathematical Society | 2012-2015 |
VIII.a - Name of the institution | VIII.b - Address of the institution | VIII.c - Duration (indicate the duration of stay) | VIII.d - Mobility scheme, employment contract, other (describe) |
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Isaac Newton Institute of Mathematical Sciences | Cambridge, United Kingdom | 1.7.2011-10.12.2011 | Fellow researcher of a scientific collaboration programme |
Johannes Kepler University | Linz, Austria | 1.9.2017-30.6.2018 | Lector |
Doctoral co-supervisor. External collaborator on international grants. About 20 invited talks at international scientific conferences. Reviewer for VEGA grants and various leading scientific journals. Developed and maintained the library OptimalDesign for the R software, available at CRAN (https://cran.r-project.org/package=OptimalDesign). Organized international scientific conferences and specialized sessions at such events.