جستجوی استاد راهنمای دانشگاهی

Ondřej Pejchaمشاهده پروفایل

دانشیار

• Astrophysics
• Binary Stars
• Common Envelope Evolution
• +۷ مورد دیگر

Assoc. Prof. Ondřej Pejcha is an active researcher at the Institute of Theoretical Physics, Faculty of Mathematics and Physics, Charles University in Prague. His work focuses on connecting theoretical modeling, observational astronomy, and data science to understand time-domain phenomena in stellar systems, particularly binary stars and their evolution. Dr. Pejcha's research spans computational astrophysics, with emphasis on (radiation)(magneto)hydrodynamics simulations of binary star systems, common envelope evolution, and stellar mergers. His group develops advanced numerical methods to study transients such as stellar mergers and core-collapse supernovae, persistent variable sources including eclipsing binaries and pulsating stars, and stellar dynamics. They combine supercomputer simulations with semi-analytic models and machine learning techniques applied to astronomical data from surveys like ASAS-SN. The analysis of Dr. Pejcha's recent publications reveals a strong focus on computational approaches to binary star evolution, with increasing integration of machine learning methods in the latest works. His research addresses fundamental questions about common envelope evolution, mass transfer processes, and the connection between theoretical models and observational signatures in time-domain astronomy. ERC Consolidator grant for ROGALLO project (developing new simulation methods for binary stars) ERC Starting grant for Cat-In-hAT project (computational methods for binary star mergers) Czech Science Foundation grant for studying mass transfer in binaries Czech-American collaboration grant for ASAS-SN survey participation Primus award PRIMUS/SCI/17 from Charles University Dr. Pejcha actively mentors PhD students and postdocs, with recent advisees including Jakub Cehula and Milan Pešta. His group has secured substantial funding that supports internationally competitive salaries, dedicated computing resources including a specialized cluster with upcoming GPU enhancements, and travel funds. Alumni from his group have successfully obtained competitive postdoctoral positions and national/international fellowships. The group maintains strong international connections, regularly collaborating with institutions including Princeton University, Brown University, MPA Garching, and Warsaw University Observatory.

Daniel Říhaمشاهده پروفایل

استادیار

• Interactive Media
• Videogame Studies
• Serious Games
• +۱ مورد دیگر

Daniel Říha serves as Assistant Professor at the Department of Theory of Art and Artworks within the Faculty of Humanities, Charles University Prague, holding this position continuously since 2005. His academic foundation includes a Ph.D. (2002) and M.A. (1998) from Charles University's Institute of Information Studies and Librarianship, with doctoral research focusing on collaborative hypermedia environments for scientific communication. His research program integrates Interactive Media, Videogame Studies, Serious Games, and Virtual Reality through interdisciplinary lenses spanning computer science, art theory, and education. Current investigations examine cutscene functionality in game information systems, VR applications in sexuality research, and multi-touch exhibition design, reflecting sustained engagement with digital knowledge representation since his early work on 3D virtual libraries. Analysis of his 15 most recent publications (2009-2016) reveals consistent thematic evolution toward applied interactive systems, with growing emphasis on therapeutic and educational implementations of virtual environments. His editorial leadership across 12 interdisciplinary volumes demonstrates significant influence in cyberculture and game studies discourse. 2003 Winner of Kunst am Bau International Art Competition for Virtual 3-D Library project As Principal Investigator for Czech Ministry of Education grants (2004-2005) and team member for Czech Grant Agency (2016-2018) and Ministry of Culture projects (2012-2015), he has secured substantial research funding. His academic leadership extends to founding Charles University's New Media Studies discipline and MED Comparative Media Research Group, plus international roles including Director of Publications at Inter-Disciplinary Press (2010-2012) and Cyber Hub Leader (2008-2016). Through projects like the Virtual Museum of Phototelegraphy and INVIPO distance education infrastructure, he has established collaborative networks connecting Czech academic institutions with German, Dutch, Swedish, and Polish universities, operationalizing his theoretical work in international educational contexts.

• Computer Vision
• Image Processing
• Machine Learning
• +۵ مورد دیگر

Prof. Ing. Adam Herout, Ph.D., is a faculty member at the Faculty of Information Technology (FIT) of Brno University of Technology (BUT). He serves as Deputy Head of the Department of Computer Graphics and Multimedia (DCGM), focusing on computer vision, image processing, and 3D reconstruction. His research spans traffic surveillance, augmented reality, and real-time processing, with applications in medical imaging and autonomous systems. Academic Rank: Professor Department: Computer Graphics and Multimedia Email: herout@fit.vut.cz Herout's research interests lie in computer vision, machine learning, and their interdisciplinary applications. He has pioneered techniques for camera calibration using vehicle landmarks, density-based traffic analysis, and medical imaging solutions like cranial implant design. His work combines theoretical advancements with practical implementations in real-time systems. Key trends in his 15 most recent articles (2019–2023) include deep learning for traffic analysis, medical image segmentation, and optimization of computer vision algorithms. Sub-fields span from automated checkout systems to CNN-based AFM data correction, reflecting his interdisciplinary expertise. Scientific recognitions include the Commemorative Medal of FIT BUT (Bronze 2012, Silver 2019) and the Imagine Cup 2013. He leads the Computer Graphics Research Group at FIT and chairs disciplinary committees.

• Pharmaceutical technology
• Drug formulation development
• Bioavailability enhancement
• +۴ مورد دیگر

Prof. David Vetchý serves as Dean of the Faculty of Pharmacy at Masaryk University in Brno, Czech Republic. He is a Professor in the Department of Pharmaceutical Technology with extensive expertise in pharmaceutical formulation and drug delivery systems. His leadership extends to multiple institutional committees including the Dean's College, Rector's Board, and Scientific Council of the Faculty of Pharmacy. Prof. Vetchý's research focuses on pharmaceutical technology, particularly in drug formulation development, bioavailability enhancement of poorly soluble drugs, and quality control of pharmaceutical products. His work encompasses solid dosage forms, self-emulsifying drug delivery systems, enteric coatings, and analytical methods for drug characterization. He has made significant contributions to understanding drug-polymer interactions, dissolution testing methodologies, and developing novel detection systems for chemical warfare agents. His extensive publication record demonstrates consistent research activity with over 130 publications spanning more than a decade. Recent work shows a strong focus on bioequivalence studies, novel drug delivery systems, and pharmaceutical education. His collaborative research addresses both fundamental pharmaceutical science questions and practical drug development challenges across multiple therapeutic areas. Dean's College, Faculty of Pharmacy Rector's Board, Masaryk University Industry Council for Safety and quality of medicines Extended Rector's Board, Masaryk University HR Award Steering Committee, Faculty of Pharmacy Scientific Council, Faculty of Pharmacy and Central European Institute of Technology Prof. Vetchý actively supervises students and has contributed significantly to pharmaceutical education at Masaryk University. His research has practical applications in drug development and quality control, with several patented technologies related to drug delivery systems and detection methods. His work spans from fundamental pharmaceutical science to translational research with clinical applications in areas including asthma treatment, addiction therapy, and chemical detection systems.

• Adaptive Software Architectures
• Smart Cyber-Physical Systems (CPS)
• Internet of Things (IoT)
• +۵ مورد دیگر

Tomáš Bureš is a Professor at the Department of Distributed and Dependable Systems , Faculty of Mathematics and Physics , Charles University . His work focuses on adaptive software architectures for smart cyber-physical systems (CPS) and IoT, leveraging machine learning (neural networks) for self-adaptation, edge-cloud systems, and model-driven development. Research Groups: Leader of the SmartArch research group. Projects: Involved in ExtremeXP , ESTABLISH , AFarCloud , FitOptiVis , Trust 4.0 , ASCENS , RELATE ITN , Q-ImPrESS . Publications span topics like performance regression testing, ML workflow optimization, confidentiality analysis under uncertainty, and edge-cloud continuum modeling. Key subfields include self-adaptive architectures, adaptation rules, component ensembles, and statistical methods in software engineering. His work bridges theoretical models (e.g., DEECo, SOFA) with practical tools (e.g., ExpEngine, Robin) for CPS and cloud applications. Co-Authors include P. Hnětynka, M. Abdullah, R. Heinrich, and others. Publications appear in venues like IEEE Transactions on Autonomic Computing , ACM/SPEC ICPE , and ECSA Workshops .

• Esports Research
• Sports Management
• Kinanthropology
• +۳ مورد دیگر

Jiří Kotas serves as Assistant Professor at Masaryk University's Faculty of Sports Studies within the Department of Sports Performance and Diagnostics. His institutional affiliation centers on sports science research and pedagogy at the Brno campus (Kamenice 753/5, 625 00). Research interests span esports phenomena , digital health applications , and AI integration in sports performance . His work examines ethical dimensions of gaming in youth development while pioneering artificial intelligence tools for athletic diagnostics and academic practice. Current research initiatives include the 1st M(U)INI eSports Conference (2025) and Student Section - 14th International Conference on Kinanthropology (2025) , both funded through Masaryk University's COMMUNITY and student research programs. These projects investigate esports education frameworks and active ageing through sports diagnostics. Teaching portfolio encompasses Business in Sports , Sports Marketing , and Managerial Minimum in Sports across undergraduate programs. His pedagogical approach integrates digital balance concepts with contemporary sports management challenges. Laboratory work occurs within the Department of Sports Performance and Diagnostics infrastructure, focusing on gait analysis systems and esports performance metrics. Future research trajectories indicate expansion into AI-driven youth education models and cross-generational sports technology applications.

• Unified Processing of Multi-Model Data
• Influence Maximization in Social Networks
• Efficient Graph Data Processing
• +۳ مورد دیگر

Martin Svoboda is a Lecturer at the Department of Software Engineering , Faculty of Mathematics and Physics, Charles University, Prague. His work focuses on multi-model data management, social network analysis, and XML/linked data processing. University: Charles University School: Faculty of Mathematics and Physics Department: Department of Software Engineering Role: Lecturer Education: Doctoral Thesis: Correction of Invalid Trees with Respect to Regular Tree Grammars (2015) Master's Thesis: Processing of Incorrect XML Data (2010) Bachelor's Thesis: Information System for Small User Group Collaboration (2007) Research Interests encompass: Unified multi-model data processing Influence maximization in social networks Graph data efficiency Big Data and NoSQL systems Querying/indexing linked data XML document correction Publications highlight trends in multi-model data unification, XML correction techniques, and social network analysis, with a strong emphasis on category theory and graph-based approaches. Scientific Recognition: Dean’s Award for Best Master Thesis (2010) Best Poster Award at Reasoning Web Summer School (2012) Projects include grants from the Czech Science Foundation (20-22276S, 2010–2012), Technology Agency of the Czech Republic (TH03010276, 2018–2020), and international collaborations like NoSQL-Net (Germany, 2014).

• Remote Sensing
• Forest Management
• Bark Beetle Detection
• +۵ مورد دیگر

Peter Surový is an Associate Professor at the Czech University of Life Sciences Prague (CZU), where he serves in the Department of Forest Management and Forest Conservation within the Faculty of Forestry and Wood Technology. He also holds the position of Vice-Chairman of the Academic Senate Dean's Board of the Faculty of Law at CZU, demonstrating his cross-disciplinary engagement within the university. Dr. Surový's research focuses on the application of advanced remote sensing technologies in forest management and conservation. His work spans multiple areas including: Utilization of satellite imagery and UAV/drone technology for forest health monitoring Bark beetle detection and forest disturbance assessment Forest fire risk modeling and assessment Drought impact analysis on forest ecosystems Development of innovative methods for forest inventory and mensuration His recent publications highlight a strong emphasis on integrating artificial intelligence with remote sensing data to address pressing forest management challenges. Dr. Surový has been particularly active in developing early warning systems for forest disturbances and creating practical tools that can be implemented by forest managers. His research often involves international collaborations, with projects extending to tropical forests in Ghana and Angola, demonstrating the global relevance of his work. Dr. Surový has been involved in several significant research projects including: "Mapping of forest health status, tree species, and forest risks using innovative ICT data and approaches" (TA0 2021-2024) "Monitoring the status and development of bark beetle-damaged stands after the bark beetle calamity" (MZE 2021-2023) "Frameworks and possibilities of forestry adaptation measures and strategies related to climate change" (EHP 2015-2016) His methodological contributions include certified methodologies for UAV-based forest monitoring and damage assessment, which have been adopted by forest enterprises in the Czech Republic. Dr. Surový's work bridges the gap between cutting-edge technology and practical forest management applications, making significant contributions to sustainable forestry practices.

• Computer Science
• Parallel Computing
• Data Stream Processing
• +۳ مورد دیگر

Dr. Jakub Yaghob is a researcher at the Faculty of Mathematics and Physics , Charles University , specializing in computer science and parallel computing. He teaches advanced programming topics including Compiler Principles , Parallel Programming , and Cloud Computing . Research Interests : Parallel data stream processing, virtualization technologies, semantic web infrastructures, and performance optimization Teaching : Advanced C++ programming, virtualization administration, and computer systems architecture Technical Expertise : Design of parallelization frameworks, astrophysical data analysis, and hybrid CPU-GPU systems His publications focus on: Optimizing stream data processing across distributed architectures Developing domain-specific languages like Bobolang Performance evaluation in educational programming contexts Applications of parallel computing in astrophysics

• Intergenerational Learning
• Adult Education
• Higher Education Pedagogy
• +۳ مورد دیگر

Karla Brücknerová serves as Associate Professor and Deputy Head of the Department of Educational Sciences at Masaryk University's Faculty of Arts in Brno, Czech Republic. Her academic leadership extends to institutional roles including membership on the Program Board for Andragogy master's studies, where she shapes educational frameworks for adult learning contexts. Her research program investigates intergenerational learning dynamics among teaching staff, non-traditional student populations (particularly mature learners), and online learning environments. She examines how self-regulated learning strategies, goal orientation, and instructional support mechanisms influence academic satisfaction and performance in blended and virtual settings. Her work bridges theoretical frameworks with practical applications in higher education pedagogy, with special attention to assessment practices in art education and the social dimensions of teacher collaboration. Analysis of her recent publication trajectory (2021-2025) reveals increasing emphasis on data-driven methodologies to understand learning behaviors, including virtual reality applications and predictive modeling of academic success. Key thematic clusters include typology development for intergenerational learning processes, prevention strategies for academic failure among combined-study students, and the role of educational leadership in fostering inclusive learning environments across generational divides.

• Educational Technology
• E-Learning
• Digital Learning
• +۴ مورد دیگر

Libor Juhaňák serves as an Assistant Professor at the Institute of Educational Sciences, Faculty of Arts, Masaryk University in Brno, Czech Republic. His academic career spans over a decade with continuous teaching responsibilities documented from 2012 through Spring 2026, covering both undergraduate and graduate programs. His research expertise centers on digital transformation in education, with core focus areas: Educational Technology infrastructure E-Learning system design and implementation Quantitative data analysis in educational research Visualization techniques for learning analytics Digital tools for special education accessibility Online pedagogy and instructional design Dr. Juhaňák actively supervises student theses through yearbook work courses and specialized research seminars. He maintains regular consultation hours every Thursday from 2:00 PM to 4:00 PM in office C/C.432 at Arna Nováka 1, Brno. No scientific awards or research grants were listed in the available profile information.

• Virtual Reality
• Cognitive Psychology
• Eye-Tracking
• +۵ مورد دیگر

Mgr. Vojtěch Juřík, Ph.D. serves as an Assistant Professor at the Institute of Psychology within the Faculty of Arts at Masaryk University in Brno, Czech Republic. His academic work spans cognitive psychology, virtual reality applications, and educational technology, with significant contributions to understanding human cognition in digital environments. His research interests focus on Virtual Reality applications in psychological research, Eye-Tracking methodologies, Spatial Cognition, Human-Computer Interaction, Metacognition, and Self-Regulated Learning . Juřík has pioneered methods for integrating VR technologies into psychological experimentation, particularly examining how immersive environments affect cognitive processes, learning behaviors, and spatial navigation. Analysis of his publication trends reveals a strong emphasis on experimental methodology development (particularly Toggle Toolkit for Unity environments), replication studies using VR to address psychology's replication crisis, and applied educational research examining how technology-supported learning environments influence student outcomes. His work demonstrates consistent interdisciplinary collaboration across psychology, computer science, and geospatial disciplines. As an active researcher, Juřík has organized academic conferences including the Cognition and Artificial Life series and has contributed to numerous collaborative research projects. His methodological innovations in eye-tracking within VR environments have established new standards for ecological validity in psychological research.

• Cybersecurity
• Data Protection
• Internet of Things (IoT)
• +۷ مورد دیگر

František Kasl is a Researcher at the Institute of Law and Technology, Faculty of Law, and the Centre for Education, Research and Innovation in Information and Communication Technologies, Faculty of Informatics, both at Masaryk University in Brno, Czech Republic. His work bridges law and technology, with a strong emphasis on cybersecurity, data protection, and digital innovation. Position: Researcher Institution: Masaryk University Faculties: Faculty of Law, Faculty of Informatics Department: Institute of Law and Technology Email: Frantisek.Kasl@muni.cz His research interests include cybersecurity, data protection, Internet of Things (IoT), digital identity, smart grids, mobility as a service, and legal aspects of artificial intelligence and disinformation. He explores how legal frameworks can adapt to rapid technological changes, particularly in critical infrastructure and digital services. The recent publications highlight a consistent focus on cybersecurity workforce development, EU regulatory frameworks (e.g., Network Code on Cybersecurity, EU Digital Identity), and the intersection of law and technology in smart systems. Themes such as bug bounty programs in education, personal data breach notification, and space debris as a weapon reflect his interdisciplinary and forward-looking approach. Although no specific scientific awards are listed, his extensive publication record and active participation in high-impact research projects and conferences indicate significant scholarly contribution. František Kasl supervises students and contributes to teaching, particularly in IT law and cybersecurity. He is involved in multiple collaborative research projects, often with colleagues from law, informatics, and engineering, fostering interdisciplinary innovation. His work contributes to national and EU-level policy discussions, particularly in cybersecurity qualifications and digital identity frameworks. He is part of research teams working on smart grids, secure data sharing (e.g., CovidCareShare), and mobility systems. These teams involve collaboration across faculties and institutions, emphasizing applied research with real-world impact.

• Multi-model data management
• Schema inference and evolution
• XML and semi-structured data
• +۳ مورد دیگر

Irena Holubová, Ph.D. , is an Associate Professor at the Department of Software Engineering , Faculty of Mathematics and Physics , Charles University in Prague, Czech Republic. Her work focuses on multi-model data management, schema evolution, XML and graph data processing, and inferred social networks. She has led or co-led numerous national and international research projects, supervised over half a dozen Ph.D. students, and contributed extensively to the academic community. Education: Ph.D. in Computer Science (exact university and year not specified in text) Research Interests: Her research spans multi-model data management , including modeling, schema inference, and evolution. She explores inferred social networks through graph analytics and real-world data. Previously, her work included Linked Data , XML schema inference , XML benchmarking , and management of XML data using relational databases . Grants and Projects: Principal researcher, GAČR 23-07781S: Self-Adapting Management of Multi-Model Databases (2023–2025) Principal researcher, GAČR 20-22276S: Unified Management of Multi-Model Data (2020–2022) Co-researcher, TAČR TH03010276: System for advanced analytics of large connected data (2018–2020) Supervisor, GAUK 292323: Self-adaptive management of multi-model databases (2023–2025) Supervisor, GAUK 1416213: Evolution and adaptability of complex applications (2013–2015) Co-researcher, GAČR P202/10/0573: Handling XML Data in Heterogeneous and Dynamic Environments (2010–2012) Principal researcher, GAČR 201/09/P364: Management of XML data in (object-)relational databases (2009–2011) Member, GAČR 201/06/0756: Development of a Native Storage for XML Data (2006–2008) Member, SemWeb 1ET100300419: Intelligent Models for the Semantic Web (2005–2008) Conference Organization: Co-organizer: FiCloud ’17, MobiWis ’17, Innovate-Data ’17, NoSQL-Net ’15/’14, BenchmarX ’10/’09, X-Schemas ’09, MoViX ’09 Editorial and Reviewing Roles: PC member: MEDI, IDEAS, ACM SAC, ICIST, CoMoNoS, RCIS, VLDB Journal, Big Data Research Journal, and many more Reviewer: VLDB Journal, The Computer Journal, LNCS Transactions, special issues, and books Independent expert: EU FP7, Horizon 2020 Ph.D. Students Supervised: Jáchym Bártík (2022–) Pavel Koupil (2019–2022, finalist Antonín Svoboda Award) Marek Polák (2012–2017) Martin Svoboda (2010–2015, Dean's Award for Best Master Thesis) Jakub Stárka (2010–2013) Tomáš Knap (2008–2013, finalist IT Master Thesis 2009) Labs and Teams: She leads the Data Management Research Group at the Department of Software Engineering, focusing on multi-model databases, schema evolution, and XML technologies. The group has produced tools like MM-cat , Socneto , STOCK , BDgen , DaemonX , jInfer , and Analyzer .

Viktor Fuglíkمشاهده پروفایل

مدرس

• Educational Data Mining
• Machine Learning
• Learning Analytics
• +۴ مورد دیگر

Viktor Fuglík serves as a Lecturer at the Department of Distributed and Dependable Systems within the Faculty of Mathematics and Physics at Charles University . His work bridges distributed systems education with innovative applications of machine learning in academic performance analysis. Teaching: Linux Administration (NSWI106), Operating Systems (NSWI200), Introduction to Linux (NSWI177) Research Focus: Educational data mining, student behavior modeling, and learning analytics Collaborations: Key contributor to EC-TEL and LAK conference publications with Jakub Kuzilek, Zdenek Zdráhal, and Jonas Vaclavek His scholarly output demonstrates a sustained focus on leveraging digital footprints from virtual learning environments to predict student outcomes, optimize exam strategies, and develop actionable dashboards for educational stakeholders. This work intersects with broader FAIR data initiatives and computational education research. While no formal scientific awards are documented in the provided materials, his contributions to student success prediction models and learning analytics dashboards represent significant practical advancements in educational technology. He actively supervises student projects while maintaining teaching responsibilities in systems administration and operating systems courses.