Roles & Affiliation: Ing. Alexandra Bucha Rášová, PhD, is an Assistant Professor at the Department of Global Geodesy and Geoinformatics, Faculty of Science, Slovak University of Technology. Her research focuses on geospatial methodologies and data analysis. Academic Rank: Assistant Professor (since 2021) Previous Role: Researcher (postdoctoral stay, 2018–2020) Research Interests: Specializes in spatial analyses in GIS , visibility analyses , and spatial data uncertainty , contributing to geospatial data modeling and uncertainty quantification. Contact Information: Work phone: +421 2 32888 343. Office located at A-609, KGGI SvF, Radlinského 11, 81005 Bratislava - block A, 6th floor on the right.
Dominik Hlinka is an Assistant Professor at the Department of Painting, Academy of Fine Arts and Design in Bratislava. Working between Bratislava and Hontianske Tesáre, Slovakia, he explores intersections of painting, digital media, and conceptual frameworks through solo exhibitions across Central Europe. Education: Doctorate (2015-2021), MFA/BFA (2008-2014) from AFAD Bratislava, and exchange studies (2011-2012) at HEAD Genéve. His research focuses on contemporary painting's evolution through digital contexts, memory representation, and rural/industrial narratives. Works like Science-rural fiction (2024) and The TimeLord (2024) blend scientific metaphors with traditional media, while projects like FISSION (2023) examine structural breakdowns. Recent exhibitions reveal trends in technological memory systems and existential spatial exploration. Notable projects include AUTOCALYPSE (2021) addressing personal digital collapse and REFLECTION - REFRACTION - DIFFRACTION (2021) visualizing physics concepts. Scientific Awards : Scholarship of the Novum Foundation (2017, 2015) Rector's Award - Diploma Project (2014) Jury's Selection at XI. Triennal of Aquarelle (2013) As a member of INSTITUT INSTITUT, Hlinka's work spans oil/paraffin canvases, robotic installations, and algorithmic collaborations. His teaching involves foundational painting techniques and experimental studio practices.
Martin Alexy is an Associate Professor at the Department of Finance within the Faculty of Economics and Finance at Bratislava University of Economics and Business. He also serves as Head of Section and Deputy Head of the Department for Science Development in the Business Finance Section. His research focuses on financial econometrics, sovereign credit ratings, enterprise failure prediction, and composite index construction. Alexy teaches courses such as 'Základy finančnej ekonometrie' (Basics of Financial Econometrics) and 'Riziko a neistota vo financiách' (Risk and Uncertainty in Finance). His research explores topics like sovereign credit rating determinants, machine learning applications in SME failure prediction, and total factor productivity analysis in Europe. Notable contributions include work on Altman’s Z’-Score models adaptation for Slovak SMEs and gender diversity in private firms. Alexy collaborates with institutions like the SecureDataLab and Bee4R LAB, focusing on behavioral economics experiments and data-driven financial analysis. His publications span journals like Studies in Economics and Finance , Ekonomický časopis , and Acta Oeconomica , with recent focus on machine learning applications in financial modeling and regional economic dynamics. No scientific awards are explicitly mentioned in the provided texts. Alexy’s advising and grant activities are not detailed here, but his research group actively participates in projects related to financial risk assessment and regional development. He contributes to the EAPG Working Paper Series and maintains academic partnerships through Erasmus agreements and framework collaborations.
Assoc. Prof. Renata Ďuračiová, PhD., serves as Associate Professor and Head of the Department of Global Geodesy and Geoinformatics at the Faculty of Civil Engineering, Slovak University of Technology in Bratislava. Her academic role centers on advancing geoinformatics through rigorous research in spatial data quality, uncertainty modeling, and mathematical GIS methodologies while leading departmental operations and curriculum development. Her research spans spatial databases, geospatial analyses, and environmental applications including Lidar processing, building footprint detection, and solar radiation modeling. Key contributions address bark beetle infestation prediction using satellite data and machine learning, alongside innovations in fuzzy logic for spatial database querying and heterogeneous data integration. Her work bridges theoretical geoinformatics with practical solutions for forest management and urban planning challenges. Analysis of her 2017-2025 publications reveals consistent focus on spatial data quality assessment, terrain parameter effects on environmental modeling, and algorithmic development for Lidar/satellite data processing. Recurring themes include uncertainty quantification in spatial analyses, cross-source data integration (e.g., OpenStreetMap/INSPIRE), and climate-driven ecological modeling. Her technical expertise manifests in specialized tools like point-cloud solar radiation calculators and predictive models for forest disturbances. Prof. Ďuračiová actively contributes to the geospatial community through leadership roles in the Cartographic Society of the Slovak Republic (Executive Committee since 2011) and Slovak Association for Geoinformatics (Presidency since 2011). Her professional engagement emphasizes advancing geoinformatics standards and applications within Central European contexts while mentoring through courses like Database Systems in GIS and Geodata Quality Analysis.
Professor Milan Lapin is a faculty member at the Faculty of Mathematics, Physics and Informatics, Comenius University in Bratislava. His academic work focuses on climate science with specialization in meteorological drought analysis and regional climate modeling in Slovakia. Office F1-371 serves as his primary workplace within the university's Mlynská dolina campus. Professor Lapin's research interests center on climate change impacts, particularly examining evapotranspiration patterns, drought development, and long-term climate variability across Slovakia. His methodological approach combines empirical data analysis with prognostic modeling to address practical challenges in water resource management and agricultural planning under changing climate conditions. Recent work emphasizes identifying uncertainties in climate projections while developing actionable adaptation strategies. Professor Lapin teaches two core courses: General Climatology (Tuesdays 9:00-11:15) and Physics of the Earth's Climate System (Wednesdays 12:20-14:35), both delivered at the Faculty of Mathematics, Physics and Informatics. His publication record demonstrates consistent output in climate science journals and conference proceedings, with recent articles analyzing evapotranspiration trends (2023), drought prognosis (2017), and climate change consequences (2017). While specific grant information isn't available in the provided materials, his research appears focused on national climate challenges in Slovakia.