Curriculum vitae
- Name, first names, scientific degrees
- RNDr. Katarína Furmanová, Ph.D.
- Department/Faculty/University
- Department of Visual Computing, Faculty of Informatics, Masaryk University
- Function, current position
- Assistant Professor
- Education and academic qualifications
- 2015 – 2019: European Doctorate in Informatics, Masaryk University, Brno, Czech Republic
2015 – 2019: Master‘s Degree in Computer Graphics, Masaryk University, Brno, Czech Republic
2015 – 2019: Bachelor’s Degree in Computer Graphics and Image Processing, Masaryk University, Brno, Czech Republic
- 2015 – 2019: European Doctorate in Informatics, Masaryk University, Brno, Czech Republic
- Professional experience
- since 12/2020: Assistant Professor, Masaryk University, Brno, Czech Republic
09/2019 – 09/2020: Postdoctoral Fellowship, Aarhus University Hospital, Aarhus, Denmark
09/2019 – 12/2019: PhD Candidate, Masaryk University, Brno, Czech Republic
- since 12/2020: Assistant Professor, Masaryk University, Brno, Czech Republic
- Teaching activities
- Visualization (PV251, PA2014), Computer Graphics (PB009, PV160, PV112, PA093)
- Research activities
- Medical visualization, molecular visualization, visual analytics
- Internship and stays for the purpose of study or work
- 11/2019 – 12/2019: Research Stay at TU Wien, Vienna, Austria
- 2018/10/26 – 2019/02/15: University of Bergen, Bergen, Other programs, NOR
- 2016/09/12 – 2017/01/31: Johannes Kepler University Linz, Linz, Erasmus+, AUT
- 2013/03/01 – 2013/06/14: University of Pavia, Pavia, LLP Erasmus, ITA
- Non-university activities
- VCBM 2021 conference web chair
Program Committee for the IEEE VIS 2020
Conference & Journal Reviewing (e.g., IEEE VIS, C&G)
Local organization and volunteering for EG EuroVis 2018 and EG VCBM 2019 conferences
- VCBM 2021 conference web chair
- Major publications
- FURMANOVÁ, Katarína, Adam JURČÍK, Barbora KOZLÍKOVÁ, Helwig HAUSER a Jan BYŠKA. Multiscale Visual Drilldown for the Analysis of Large Ensembles of Multi-Body Protein Complexes. IEEE Transactions on Visualization and Computer Graphics. IEEE, 2020, roč. 26, č. 1, s. 843-852. ISSN 1077-2626. Dostupné z: https://dx.doi.org/10.1109/TVCG.2019.2934333. URL info
- FURMANOVÁ, Katarína, Samuel GRATZL, Holger STITZ, Thomas ZICHNER, Miroslava JAREŠOVÁ, Alexander LEX a Marc STREIT. Taggle: Combining Overview and Details in Tabular Data Visualizations. Information Visualization. 2020, roč. 19, č. 2, s. 114-136. ISSN 1473-8716. Dostupné z: https://dx.doi.org/10.1177/1473871619878085. URL info
- FURMANOVÁ, Katarína, Ondřej VÁVRA, Barbora KOZLÍKOVÁ, Jiří DAMBORSKÝ, Vojtěch VONÁSEK, David BEDNÁŘ a Jan BYŠKA. DockVis: Visual Analysis of Molecular Docking Trajectories. Computer Graphics Forum. Wiley-Blackwell, 2020, roč. 39, č. 6, s. 452-464. ISSN 0167-7055. Dostupné z: https://dx.doi.org/10.1111/cgf.14048. URL info
- FURMANOVÁ, Katarína, Nicolas GROSSMANN, Ludvig P. MUREN, Oscar CASARES-MAGAZ, Vitali MOISEENKO, John P. EINCK, Eduard M. GRÖLLER a Renata G. RAIDOU. VAPOR: Visual Analytics for the Exploration of Pelvic Organ Variability in Radiotherapy. Computers & Graphics. 2020, roč. 91, October 2020, s. 25-38. ISSN 0097-8493. Dostupné z: https://dx.doi.org/10.1016/j.cag.2020.07.001. URL info
- RAIDOU, Renata Georgia, Katarína FURMANOVÁ, Nicolas GROSSMANN, Oscar CASARES-MAGAZ, Vitali MOISEENKO, John P EINCK, Eduard GRÖLLER a Ludvig P MUREN. Lessons learnt from developing visual analytics applications for adaptive prostate cancer radiotherapy. Online. In Christina Gillmann, Michael Krone, Guido Reina, Thomas Wischgoll. VisGap - The Gap between Visualization Research and Visualization Software. Norrköping, Sweden: The Eurographics Association, 2020, s. 51-58. ISBN 978-3-03868-125-0. Dostupné z: https://dx.doi.org/10.2312/visgap.20201110. URL info
- FURMANOVÁ, Katarína, Renata G RAIDOU, Nicolas GROSSMANN, Oscar CASARES-MAGAZ, Vitali MOISEENKO, John P EINCK a Ludvig P MUREN. Using multiple planning scans to predict organ shape variability during RT for prostate cancer. In ESTRO 2020. 2020. info
- JURČÍK, Adam, Katarína FURMANOVÁ, Jan BYŠKA, Vojtěch VONÁSEK, Ondřej VÁVRA, Pavol ULBRICH, Helwig HAUSER a Barbora KOZLÍKOVÁ. Visual Analysis of Ligand Trajectories in Molecular Dynamics. Online. In IEEE Pacific Visualization Symposium 2019. Bangkok, Thailand: IEEE, 2019, s. 212-221. ISBN 978-1-5386-9226-4. Dostupné z: https://dx.doi.org/10.1109/PacificVis.2019.00032. info
- FURMANOVÁ, Katarína, Jan BYŠKA, Eduard M. GRÖLLER, Ivan VIOLA, Jan PALEČEK a Barbora KOZLÍKOVÁ. COZOID: COntact ZOne IDentifier for visual analysis of protein-protein interactions. BMC Bioinformatics. 2018, roč. 19, APR, s. 1-17. ISSN 1471-2105. Dostupné z: https://dx.doi.org/10.1186/s12859-018-2113-6. info
- JURČÍK, Adam, David BEDNÁŘ, Jan BYŠKA, Sérgio Manuel MARQUES, Katarína FURMANOVÁ, Lukáš DANIEL, Piia Pauliina KOKKONEN, Jan BREZOVSKÝ, Ondřej STRNAD, Jan ŠTOURAČ, Antonín PAVELKA, Martin MANAK, Jiří DAMBORSKÝ a Barbora KOZLÍKOVÁ. CAVER Analyst 2.0: Analysis and Visualization of Channels and Tunnels in Protein Structures and Molecular Dynamics Trajectories. Bioinformatics. 2018, roč. 34, č. 20, s. 3586-3588. ISSN 1367-4803. Dostupné z: https://dx.doi.org/10.1093/bioinformatics/bty386. URL info
- FURMANOVÁ, Katarína, Miroslava JAREŠOVÁ, Jan BYŠKA, Adam JURČÍK, Julius PARULEK, Helwig HAUSER a Barbora KOZLÍKOVÁ. Interactive Exploration of Ligand Transportation through Protein Tunnels. BMC Bioinformatics. BioMed Central, 2017, roč. 18, č. 22, s. 1-16. ISSN 1471-2105. Dostupné z: https://dx.doi.org/10.1186/s12859-016-1448-0. URL info
- FURMANOVÁ, Katarína, Petra URBANOVÁ a Barbora KOZLÍKOVÁ. AnthroVis: Visual Analysis of 3D Mesh Ensembles for Forensic Anthropology. In Vítezslav Beran, Pavel Zemcík, Ivan Viola, Jirí Bittner, Jaroslav Rozman. Proceedings of the 33rd Spring Conference on Computer Graphics. Brno, Czech Republic: ACM, 2017, s. 171-179. ISBN 978-1-4503-5107-2. Dostupné z: https://dx.doi.org/10.1145/3154353.3154363. info
2021/03/29
Curriculum vitae: RNDr. Katarína Furmanová, Ph.D. (učo 374538), version: English(1), last update: 2021/03/29 16:32, K. Furmanová