Full Professor Snježana Majstorović Ergotić smajstor@mathos.hr +385-99-354-39-78 19 (ground floor) Google Scholar Profile School of Applied Mathematics and InformaticsJosip Juraj Strossmayer University of Osijek Research Interests Graph Theory and Applications (Metric Graph Theory, Spectral Graph theory, Chemical Graph Theory) Complex Networks Cluster Analysis Degrees PhD in Mathematics, Department of Mathematics, University of Zagreb, Croatia, 2011. BS in Mathematics and Computer Science, Department of Mathematics, University of Osijek, Croatia, 2005. Publications Journal PublicationsS. Majstorović Ergotić, On Unicyclic Graphs with Minimum Graovac-Ghorbani Index, Mathematics 12/3 (2024)R. Scitovski, K. Sabo, P. Nikić, S. Majstorović Ergotić, A new efficient method for solving the multiple ellipse detection problem, Expert systems with applications 222/119853 (2023) Abstract In this paper, we consider the multiple ellipse detection problem based on data points coming from a number of ellipses in the plane not known in advance. In so doing, data points are usually contaminated with some noisy errors. In this paper, the multiple ellipse detection problem is solved as a center-based problem from cluster analysis. Therefore, an ellipse is considered a Mahalanobis circle. In this way, we easily determine a distance from a point to the ellipse and also an ellipse as the cluster center. In the case when the number of ellipses is known in advance, an optimal partition is searched for on the basis of the -means algorithm that is modified for this case. Hence, a good initial approximation for M-circle-centers is searched for as unit circles with the application of a few iterations of the well-known DIRECT algorithm for global optimization. In the case when the number of ellipses is not known in advance, optimal partitions with clusters for the case when cluster-centers are ellipses are determined by using an incremental algorithm. Among them, the partition with the most appropriate number of clusters is selected. For that purpose, a new Geometrical Objects-index (GO-index) is defined. Numerous test-examples point to high efficiency of the proposed method. Many algorithms can be found in the literature that recognize ellipses with clear edges well, but that do not recognize ellipses with unclear or noisy edges. On the other hand, our algorithm is specifically used for recognition of ellipses with unclear or noisy edges.S. Majstorović Ergotić, Maximizing Graovac-Ghorbani Index of Trees with Fixed Maximum Degree, MATCH Communications in Mathematical and in Computer Chemistry 90/3 (2023), 673-684R. Scitovski, S. Majstorović Ergotić, K. Sabo, A combination of RANSAC and DBSCAN methods for solving the multiple geometrical object detection problem, Journal of Global Optimization 79/3 (2021), 669-686 Abstract In this paper we consider the multiple geometrical object detection problem. On the basis of the set $A$ of data points coming from and scattered among a number of geometrical objects not known in advance, we should reconstruct or detect thosegeometrical objects. A new very efficient method for solving this problem based on avery popular RANSAC method using parameters from DBSCAN method is proposed.Thereby, instead of using classical indexes for recognizing the most appropriatepartition, we use parameters from DBSCAN method which define the necessaryconditions proven to be far more efficient.Especially, the method is applied to solving multiple circle detection problem. In this case, we give both the conditions for the existence of the best circle as arepresentative of the data set and the explicit formulas for the parameters of the bestcircle. In the illustrative example we consider the multiple circle detection problem for the datapoint set $A$ coming from $5$ intersected circles not known in advance. Using Wolfram Mathematica, the proposed method needed between 0.5 - 1 sec to solve this problem.M. Knor, S. Majstorović Ergotić, A. Teo Masha Toshi, R. Škrekovski, I. Yero, Graphs with the edge metric dimension smaller than the metric dimension, Applied mathematics and computation 401 (2021)M. Knor, S. Majstorović Ergotić, R. Škrekovski, Graphs preserving total distance upon vertex removal, Electronic Notes in Discrete Mathematics 68 (2018), 107-112M. Knor, S. Majstorović Ergotić, R. Škrekovski, Graphs preserving Wiener index upon vertex removal, Applied mathematics and computation 338 (2018), 25-32M. Knor, S. Majstorović Ergotić, R. Škrekovski, Graphs whose Wiener index does not change when a specific vertex is removed, Discrete Applied Mathematics 238 (2018), 126-132S. Majstorović Ergotić, K. Sabo, J. Jung, M. Klarić, Spectral methods for growth curve clustering, Central European Journal of Operations Research 26/3 (2018), 715-737 Abstract The growth curve clustering problem is analyzed and its connec- tion with the spectral relaxation method is described. For a given set of growth curves and similarity function, a similarity matrix is defined, from which the corresponding similarity graph is constructed. It is shown that a nearly op- timal growth curve partition can be obtained from the eigendecomposition of a specific matrix associated with a similarity graph. The results are illus- trated and analyzed on the set of synthetically generated growth curves. One real-world problem is also given.S. Majstorović Ergotić, A. Klobučar, T. Došlić, Domination Numbers of m-cactus chains, Ars Combinatoria 125 (2016), 11-22S. Majstorović Ergotić, G. Caporossi, Bounds and relations involving the adjusted centrality of a tree, Graphs and Combinatorics 31/6 (2015), 2319-2334S. Majstorović Ergotić, D. Stevanović, A note on graphs with the largest eigenvalue of modularity matrix equal to zero, Electronic Journal of Linear Algebra 27 (2014), 611-618S. Majstorović Ergotić, T. Došlić, A. Klobučar, K-domination on hexagonal cactus chains, Kragujevac Journal of Mathematics 36/2 (2012), 335-347S. Majstorović Ergotić, K-domination sets on double linear hexaghonal chains, Aplimat - Journal of applied mathematics 3/3 (2010), 77-86S. Majstorović Ergotić, A. Klobučar, I. Gutman, Tricyclic Biregular Graphs Whose Energy Exceeds the Number of Vertices, Mathematical Communications 15/1 (2010), 213-222I. Gutman, A. Klobučar, S. Majstorović Ergotić, C. Adiga, Biregular Graphs Whose Energy Exceeds the Number of Vertices, MATCH Communications in Mathematical and in Computer Chemistry 62/3 (2009), 499-508S. Majstorović Ergotić, A. Klobučar, I. Gutman, Triregular Graphs Whose Energy Exceeds the Number of Vertices, MATCH Communications in Mathematical and in Computer Chemistry 62/3 (2009), 509-524Refereed ProceedingsS. Majstorović Ergotić, A. Kolos Csaba, A. Vaskovi, Spectral Clustering of Survival Curves, International Symposium of Operational Research SOR'19, Bled, Slovenia, 2019, 81-87OthersS. Majstorović Ergotić, M. Rechner, Turanov teorem, Math.e : hrvatski matematički elektronski časopis 42 (2023), 28-42S. Majstorović Ergotić, D. Begović, Niz stupnjeva grafa, Osječki matematički list 20/1 (2020), 39-52S. Majstorović Ergotić, K. Vincetić, Totalna zbrka, Osječki matematički list 17/2 (2017), 109-123K. Vincetić, S. Majstorović Ergotić, Zanimljivi zadatci s brojem 2017, Poučak 72/18 (2017), 6-23S. Majstorović Ergotić, L. Boras, Petersenov graf, Math.e : hrvatski matematički elektronski časopis 27 (2015)S. Majstorović Ergotić, Dirichletov princip, Osječki matematički list 6 (2006), 99-105 Projects Voditeljica projekata: “Metric properties of graphs”, (“Metrička svojstva grafova”), znanstveno-istraživački projekt Hrvatske zaklade za znanost, 2024.-2027. “Regional Scientific Center of Pannonian Croatia” (“Regionalni znanstveni centar Panonske Hrvatske”), projekt Ministarstva regionalnoga razvoja i fondova Europske unije, Program “Lokalni razvoj i smanjenje siromaštva”, stručni projekt, nositelj: Osječko-Baranjska županija, voditeljica na partnerskoj ustanovi, 2022.-2024. Suradnik na projektima: “On the research of induced and maximal matchings in graphs”, znanstveno-istraživački projekt Ministarstva znanosti, obrazovanja i mladih Republike Hrvatske, Program znanstveno-tehnološke suradnje između Republike Hrvatske i Narodne Republike Kine, voditelj na hrvatskoj strani: Tomislav Došlić (Sveučilište u Zagrebu), voditelj na kineskoj strani: Lingjuan Shi (Northwestern Polytechnical University), 2024.-2026. “Graphs and Diophantine equations in modeling molecular structures”, znanstveno-istraživački projekt Ministarstva znanosti, obrazovanja i mladih Republike Hrvatske, Program znanstveno-tehnološke suradnje između Republike Hrvatske i Mađarske, voditelj na hrvatskoj strani: Tomislav Došlić (Sveučilište u Zagrebu), voditelj na mađarskoj strani: László Németh (University of Sopron), 2024.-2026. “Application of optimization methods in biomedicine”, (“Primjena metoda optimizacije u biomedicini”), znanstveno-istraživački projekt Ministarstva znanosti, obrazovanja i mladih Republike Hrvatske, Program znanstveno-tehnološke suradnje između Republike Hrvatske i Republike Srbije, voditelj na hrvatskoj strani: Slobodan Jelić, voditelj na srpskoj strani: Dušan Jakovetić (Sveučilište u Novom Sadu), 2019.-2022. “Modeling adsorption of nanostructures: A graph-theoretical approach” (“Modeliranje adsorpcije na nanostrukturama: Graf-teoretički pristup), znanstveno-istraživački projekt Ministarstva znanosti, obrazovanja i mladih Republike Hrvatske, Program znanstveno-tehnološke suradnje između Republike Hrvatske i Republike Slovenije, voditelj na hrvatskoj strani: Tomislav Došlić (Sveučilište u Zagrebu), voditelj na slovenskoj strani: Riste Škrekovski (Sveučilište u Ljubljani), 2016.-2017. “Some applications of geometric representations of graphs”, (“Neke primjene geometrijskih reprezentacija grafova“), znanstveno-istraživački projekt Hrvatske zaklade za znanost i Europske zaklade za znanost u sklopu kolaborativnog projekta “GReGAS – Geometric representations and symmetries of graphs, maps, and other discrete structures and applications in science”, (“GReGAS – Geometrijske reprezentacije i simetrije grafova i druge diskretne strukture i primjene u znanosti”) istraživačke mreže EuroGIGA, Program “EUROpean COllaborative RESearch”, voditeljica na ustanovi: Antoaneta Klobučar, 2011.-2014. “Passive control of mechanical models”, (“Pasivna kontrola mehaničkih modela”), znanstveno-istraživački projekt Ministarstva znanosti, obrazovanja i športa, voditelj: Ninoslav Truhar, 2009.-2014. Professional Activities Editorial Board Topical Advisory Panel in Mathematics (MDPI) (since 2021) Refereeing/Reviewing AMS Mathematical Review Professional Society Membership HMD – Croatian Mathematical Society, Department Osijek HDOI – Croatian Operational Research Society EMS – European Mathematical Society Study Visits Abroad and Professional Improvements DAAD Biomedical Image Analysis and Bioinformatics – Intensive course, Vrnjačka Banja, Serbia, September 2020 GERAD – Group for Research in Decision Analysis, Montreal, Canada, October, 2011. Summer School of the Marie Curie ITN ‘Environmental ChemoInformatics’, Verona, Italy, June 2012 DAAD- Graph Spectra and Applications- Intensive course, Vrnjačka Banja, Serbia, September 2012 DAAD- Linear Optimal Control of Dynamic Systems, Osijek, Croatia, September 2013 Summer School in Discrete Mathematics, Rogla, Slovenia, June 2015 Montanuniversitat Loeben, Loeben, Austria, September 2015 (ERASMUS+ 2014/2015) Montanuniversitat Loeben, Loeben, Austria, September 2015 (ERASMUS+ 2015/2016) DAAD – Approximation theory and Applications, Sozopol, Bulgaria, June 2016 DAAD – Krylov Subspaces and Applications, Golem, Kavaja, Albania, September 2016 Faculty of Mathematics and Physics, University of Ljubljana, Slovenia, 1.03.-5.03. 2017 Faculty of Mathematics and Physics, University of Ljubljana, Slovenia, 16.12.-21.12. 2017 Faculty of Mathematics and Physics, University of Ljubljana, Slovenia, August 2018 (ERASMUS+ 2017/2018) Faculty of Mathematics and Physics, University of Ljubljana, Slovenia, June 2021 (ERASMUS+ 2021/2022) Faculty of Mathematics and Physics, University of Ljubljana, Slovenia, October 2022 (ERASMUS+ 2022/2023) Invited Lectures “Types of domination on m-ary chain cacti”, GERAD-Group for Research in Decision Analysis, Montreal, Canada, October 2011 “Indivisible graphs”, Technische universitat, Graz, Austria, January 2015 “Spectral methods for growth curve clustering”, Corvinus University, Budapest, Hungary, April 2018 Service Activities Zimska matematička škola (Winter math school) 2005.-2006. “Tetivno-tangencijalni četverokuti” Pripreme za natjecanje IMC, 2015. Koordinatorica priprema za međunarodna studentska natjecanja iz matematike: Vojtech 2016, IMC 2017, IMC 2018 Član organizacijskog odbora međunarodne konferencije CroCoDays 2016 , CroCoDays 2018, CroCoDays 2020, CroCoDays 2022 Član programskog odbora međunarodne konferencije MSGT 2023 IAESTE – mentor od ak.god. 2016/2017 – …. Koordinatorica za Festival znanosti od 2018. -… Festival znanosti 2018: “Fourierova otkrića” Festival znanosti 2019: “Neriješeni problem bojenja ravnine” Festival znanosti 2022: “Eulerova otkrića” Član organizacijskog odbora međunarodne studentske konferencije GREEN 2018 Član organizacijskog odbora međunarodne studentske konferencije GREEN 2022 Član organizacijskog odbora međunarodne konferencije VODA ZA SVE 2019 Večer matematike 2018: “Modeliranje pomoću grafova” Član organizacijskog odbora STEM games 2021 Teaching Konzultacije (Office Hours): Konzultacije su moguće po dogovoru. Teme za diplomske radove (Master thesis topics): Teme se dogovaraju izravno na konzultacijama s nastavnikom. Present and past courses I am currently teaching Graphs and applications Complex networks Combinatorial and Discrete Mathematics Mathematics III (Faculty of Civil Engineering and Architecture, Osijek) Personal Birthdate: April 13 Birthplace: Osijek, Croatia Citizenship: Croatian Research Interests Degrees Publications Projects Professional Activities Teaching Personal