جست‌وجوی استاد و پژوهشگر

• Structural Bioinformatics
• Data Visualization
• Protein Structure
• +۴ مورد دیگر

David Hoksza is an Associate Professor at the Department of Software Engineering, Faculty of Mathematics and Physics, Charles University in Prague. His work bridges bioinformatics and computational biology through innovative algorithm and tool development. University: Charles University School: Faculty of Mathematics and Physics Department: Department of Software Engineering His research focuses on structural bioinformatics and data visualization, particularly in protein and RNA structure analysis. He has also contributed to cheminformatics (ligand-based virtual screening), computational genomics (MinION data analysis), and systems biology (molecular network visualization). David has led major projects including the P2Rank framework for ligand-binding site prediction, R2DT for RNA secondary structure visualization, and the Genomics 2 Proteins portal for linking genetic data to protein structures. His publications span high-impact journals like Nucleic Acids Research , Bioinformatics , and Nature Methods . Recent articles highlight his expertise in RNA structure prediction, protein-ligand interactions, and neurodevelopmental disorder analysis. His work emphasizes template-based modeling, machine learning, and web-based tool development. Scientific Awards David actively teaches courses on data visualization and bioinformatics algorithms, with a focus on practical implementation using technologies like D3.js, Tableau, and Python. He contributes to open-source software and maintains a GitHub repository for his tools.

• Structural Engineering
• Sustainable Construction Materials
• Wood Construction Systems
• +۳ مورد دیگر

Monika Petříčková is an Associate Professor and Head of the Department of Engineering at the Faculty of Architecture, Brno University of Technology. Her academic work spans teaching, research, and administrative roles, including membership on the Dean’s Advisory Board, Library Advisory Board, and Scientific Board of the Faculty. Specializes in structural mechanics and load-bearing systems for architectural applications Active in educational innovation projects since 2006 Current research focuses on eco-friendly earthen construction and modular wooden systems She coordinates courses in structural mechanics, building materials, and construction technology. Notable projects include: "Hlína pro lidi" (2021-2024) - eco-friendly community buildings using raw earth Modular timber gridshell systems (2020) Digital structural model databases (2015)

• Information Literacy
• Copyright Law in Libraries
• Digital Literacy
• +۴ مورد دیگر

Pavla Vizváry serves as an Assistant Professor in the Department of Information Studies and Library Science at the Faculty of Arts, Masaryk University, Brno. Her academic profile integrates library science with contemporary digital challenges, focusing on practical applications for Czech cultural institutions and educational frameworks. Her research portfolio emphasizes: Information literacy assessment methodologies Copyright compliance in cultural heritage settings Digital competency development across age groups Information behavior in virtual environments Design thinking applications for library services Cybersecurity awareness in academic contexts Analysis of her recent publications reveals strategic alignment with Czech national priorities, particularly in open educational resources for librarianship, citation standardization in scholarly communication, and healthcare information literacy frameworks. Her work consistently bridges theoretical research with implementable solutions for Czech libraries and universities, addressing post-truth information challenges through evidence-based pedagogy. Dr. Vizváry actively secures competitive funding through Masaryk University's internal grants, the Czech Ministry of Culture's Public Library Information Services program, and international initiatives. Current projects (2024-2025) include the CAREER RESTART study on doctoral students' copyright behavior and e-learning innovations for campus-wide information literacy courses, while her leadership in annual National Seminars trains librarians in multimedia production and information technologies.

• Computer Graphics
• Multimedia
• Image Processing
• +۱ مورد دیگر

František Grézl serves as an Assistant Professor within the Department of Computer Graphics and Multimedia at the Faculty of Information Technology, Brno University of Technology. His academic role involves teaching and research in visual computing, with office location L207 and contact details including email (grezl@fit.vut.cz) and phone (+420 54114 1280) confirming active institutional engagement. His research centers on computer graphics and multimedia, encompassing the technical synthesis, analysis, and manipulation of visual data. Specialized interests extend to image processing and computer vision, critical for applications in virtual reality, medical diagnostics, and AI-driven visual systems. These domains represent core pillars of modern digital content creation and interpretation. Dr. Grézl maintains verified academic profiles through identifiers: Researcher ID (KRR-1787-2024), ORCID (0000-0002-9887-3197), and Scopus Author ID (18041950000), enabling precise attribution of scholarly contributions across international databases.

• Speaker Recognition
• Biomedical Image Analysis
• Signal Processing
• +۳ مورد دیگر

Johan Andréas Rohdin is an Assistant Professor at the Department of Computer Graphics and Multimedia , Faculty of Information Technology , Brno University of Technology. His research focuses on Speaker Recognition , Biomedical Image Analysis , and Signal Processing , with applications in forensic speaker comparison and retinal disease diagnosis. University: Brno University of Technology Role: Assistant Professor Research Groups: Speech Data Mining Research Group, BUT Speech@FIT His work addresses speaker diarization , embedding extractor optimization , and automated retinal symmetry analysis using GANs. Recent publications emphasize self-supervised learning, anti-spoofing techniques, and forensic multimodal datasets. Key projects include contributions to NIST Speaker Recognition Evaluations and development of the ROXSD multimodal dataset. He actively collaborates with the Speech Data Mining Research Group and participates in doctoral examination commissions.

• Condensed Matter Physics
• Low Temperature Physics
• Mossbauer Spectroscopy
• +۱ مورد دیگر

Tomáš Kmječ is a researcher at the Department of Low Temperature Physics within the Faculty of Mathematics and Physics at Charles University (MFF CUNI), with additional affiliation at the Institute of Physics, Czech Academy of Sciences (FZU CAS). His work focuses on experimental low-temperature phenomena and spectroscopic methodologies in condensed matter systems. His research spans critical areas of modern physics: Condensed Matter Physics Low Temperature Physics Mossbauer Spectroscopy Experimental Physics Dr. Kmječ actively supervises student academic work as evidenced by supervised thesis listings and job opportunities for students. His scholarly output is tracked through major academic databases including ORCID, ResearcherID, Scopus, and Google Scholar, indicating consistent contributions to physics literature. Professional resources including teaching schedules, exam dates, and research gateways are maintained through institutional portals.

• 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).

• 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

• Data Protection Law
• Information Technology Law
• Open Data and PSI
• +۷ مورد دیگر

Jakub Míšek is an Assistant Professor at the Institute of Law and Technology, Faculty of Law, Masaryk University in Brno, Czech Republic. His work bridges legal scholarship with information technology, focusing on data protection, open data, and digital regulation. He holds a Ph.D. and multiple academic qualifications, including JUDr. and MgA. His research interests include Data Protection Law , GDPR compliance , Open Data and PSI reuse , proportionality in personal data processing , text and data mining exceptions , and legal aspects of cybersecurity . He explores how legal frameworks adapt to technological innovation, especially in public administration and research contexts. His recent scholarly output shows a strong trend toward interdisciplinary work combining law, computer science, and policy. He frequently publishes on CJEU case law, interoperability of European datasets, and regulatory methods such as accountability and risk-based approaches under GDPR. He is also deeply involved in practical legal guidance and policy recommendations. Co-author of the book Citation Analysis of Case Law (2021) Author of Modern Regulatory Methods of Personal Data Protection (2020) Contributor to Information Technology Law (2018) Co-editor of conference proceedings for JURIX 2024 He has advised on research projects related to law and technology, contributed to national reports on data protection, and organized major academic events such as the Cyberspace and JURIX conferences. His collaborations span across institutions and disciplines, reflecting a robust academic network in legal informatics and digital governance.

Pavel Veselýمشاهده پروفایل

استادیار

• Theoretical Computer Science
• Algorithms
• Data Structures
• +۹ مورد دیگر

Pavel Veselý is an Assistant Professor at the Computer Science Institute of the Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic. His research focuses on the design and analysis of efficient algorithms and data structures, particularly in streaming, online, and approximation algorithms, with applications in bioinformatics and data privacy. His research interests include: Streaming algorithms for quantile estimation, geometric problems, and adversarial robustness Online algorithms, especially in scheduling and buffer management Approximation algorithms, including shortest superstrings and their use in genomic data (k-mer sets) Randomized algorithms and algorithmic data privacy His recent work has advanced the state of the art in streaming quantile estimation (KLL sketch), indexed k-mer representations using masked superstrings, and streaming facility location in high dimensions. His publications appear in top venues such as FOCS, STOC, PODS, and SODA. Notable scientific awards include: Best Paper Award at PODS 2021 2022 ACM SIGMOD Research Highlight Award Supervision of award-winning student theses, including Dean’s Award and Czech-Slovak competition wins He actively advises students, including PhD and master’s level researchers, and leads a research group focused on data sketches and streaming algorithms. He has taught courses such as Algorithmic Data Privacy, Randomized Algorithms, and Streaming Algorithms, and previously served as a postdoc at the University of Warwick under Graham Cormode.

• History of Democracy
• History of the Protectorate Bohemia and Moravia
• Digital Humanities

Jan Vondráček is a Researcher at the Department of Historical Studies, Faculty of Humanities, Charles University. He holds a Ph.D. (Dr. phil.) in History from Chemnitz University of Technology (2017), an M.A. from Ludwig Maximilian University of Munich (2011), and a B.A. from Darmstadt University of Technology (2009). Education : Dr. phil. (Ph.D.), Chemnitz University of Technology, 2017 M.A., Ludwig Maximilian University of Munich, 2011 B.A., Darmstadt University of Technology, 2009 Vondráček’s research focuses on the history of democracy , the Protectorate Bohemia and Moravia , and digital humanities . His work examines how democratic institutions resisted authoritarian pressures, the socio-economic impact of Nazi occupation, and methodological innovations in digitizing archival materials. Recent publications highlight his expertise in occupation economies and digital methodologies . He has contributed to debates on militant democracy, analyzed wartime rationing systems, and explored the role of local bureaucracies in implementing Nazi policies. His scholarship frequently bridges traditional historical research with computational approaches. Vondráček’s academic output includes monographs on state power and local administration in the Protectorate, as well as articles addressing digitization strategies and the legacy of interwar democratic models. His work is characterized by interdisciplinary rigor and a focus on under-researched aspects of Central European wartime experiences.

Lubomír Bulejمشاهده پروفایل

دانشیار

• Dynamic Program Analysis
• Software Performance Evaluation
• Software Performance Modeling
• +۵ مورد دیگر

Lubomír Bulej serves as an Associate Professor at the Department of Distributed and Dependable Systems within the Faculty of Mathematics and Physics at Charles University, Prague. His office is located in room S 205 in the historic Lesser Town district, with contact details including email bulej@d3s.mff.cuni.cz and phone +420 951 554 189. He maintains an active research profile through platforms like Google Scholar, DBLP, and GitHub. His research centers on dynamic program analysis and software performance evaluation , with specific focus on analysis composition, program instrumentation, profiling accuracy, and observability in managed platforms. He develops methods for automatic performance evaluation during development, performance change detection, and testable documentation of performance assumptions. Additional interests span object-oriented programming, programming languages, operating systems, and computer architectures, reflected in his teaching of courses like Computer Architecture and Operating Systems. Analysis of his 2021-2025 publications reveals a consistent trajectory in performance-aware software development , with increasing emphasis on compiler technologies (particularly GraalVM), self-adaptive systems for cloud/edge environments, and cost-optimized performance testing methodologies. His work bridges theoretical program analysis with practical industrial applications, especially in avionics and distributed systems. Dr. Bulej actively contributes to major research projects including GraalVM compiler evaluation, FitOptiVis (avionics systems), ASHLEY (aircraft demonstrators), Ferdinand (model-driven design evaluation), Q-ImPrESS (service-oriented systems), and CoCoME (component modeling). He maintains critical software infrastructure such as the Renaissance Benchmark Suite, DiSL instrumentation framework, and Java Performance Measurement Framework.

• 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 .

Jiří Klimešمشاهده پروفایل

دانشیار

• Quantum Chemistry
• Computational Materials Science
• Non-covalent Interactions
• +۷ مورد دیگر

Jiří Klimeš is an Associate Professor at the Faculty of Mathematics and Physics , Charles University , Prague, where he leads the APES group in the Department of Chemical Physics and Optics . He is the Principal Investigator of the ERC-funded project APES: Accuracy and precision for molecular solids . His expertise lies at the intersection of quantum chemistry, materials science, and computational physics. Education & Career: PhD in Theoretical Chemistry, University College London (UCL) , with Prof. Angelos Michaelides Post-doctoral research, University of Vienna , with Prof. Georg Kresse Marie Skłodowska-Curie Fellow, Heyrovsky Institute of Physical Chemistry , Prague Research Interests: Development of highly-accurate, low-scaling quantum-chemical methods (RPA, GW, MP2) Non-covalent interactions and van der Waals forces in molecular solids, surfaces, and confined systems Crystal-structure prediction and polymorphism of molecular crystals Adsorption on porous and layered materials (zeolites, graphene, TMDCs) Phase transitions and freezing of confined water Machine-learned potentials for molecular interactions Scientific Awards & Funding: European Research Council (ERC) Starting Grant APES (2020–2025) Marie Skłodowska-Curie Individual Fellowship, European Commission Supervision & Teaching: Current PhD students: Kyrylo Prokofiev, Pham Ngoc Khanh Former PhD student: Jaroslav Hofierka (MSc 2017 → PhD 2019) Post-doctoral researchers: Dr. Sirous Yourdkhani (current), Dr. Marcin M. Modrzejewski, Dr. Lu Ding (former) Lecture courses: Ab-initio methods for periodic systems , Introduction to quantum mechanics , Basics of quantum mechanics tutorials Labs & Facilities: The APES group operates a dedicated high-performance computing cluster funded by the ERC project, enabling routine RPA and GW calculations on systems with hundreds of atoms.

• Database Systems
• Business Intelligence
• Software Engineering
• +۴ مورد دیگر

Assoc. Prof. Zdenka Prokopová serves as Associate Professor at the Institute of Computer and Communication Systems within the Faculty of Applied Informatics at Tomas Bata University in Zlín, where she has held continuous academic appointments since 2001 following prior positions at Brno University of Technology and Slovak Technical University. Her academic credentials include: 2008-present: Habilitation in Machine and Process Control, Tomas Bata University 1990-1994: Doctoral studies in Technical Cybernetics, Slovak Technical University 1983-1988: Ing. in Automated Control Systems, Slovak Technical University 1979-1983: Secondary education at Gymnasium Šafárikovo Her research spans contemporary database architecture and business intelligence systems alongside software project complexity estimation, building upon earlier foundational work in industrial control systems involving dynamic modeling and algorithm development for chemical production environments. This dual expertise bridges theoretical computer science with practical engineering applications. She maintains active institutional engagement through membership on the Faculty Disciplinary Committee, Study Programs Council, and Doctoral Program Council for Engineering Informatics while conducting regular student consultations on Wednesdays. Her international research profile includes significant collaborations with French institutions (CNRS Toulouse, Nancy) and the University of Birmingham through EU programs like INCO Copernicus and TEMPUS.