جستجوی استاد راهنمای دانشگاهی

• Creative Writing
• Czech Literature
• Translation Studies
• +۵ مورد دیگر

Assoc. Prof. Zbyněk Fišer, Ph.D., serves as an Associate Professor at the Institute of Czech Literature within Masaryk University's Faculty of Arts in Brno. His administrative roles include membership in the Sectoral Committee for Theory of Art and Gallery Pedagogy, Industry Council for Czech Literature, and Program Boards for Czech Language and Literature degree programs (Bachelor's, Master's, and Secondary School Teaching tracks). His research centers on Creative Writing methodology , post-1945 Czech Literature (particularly samizdat and underground movements), functionalist Translation Studies , and Art Mediation . Key contributions include workshop frameworks for creative writing instruction, analysis of Communist-era dissident literature, and gallery pedagogy integration. His work consistently bridges literary theory with practical educational applications. Recent publications (2024-2025) emphasize Ukrainian Czech-language teacher training, Brno literary inspiration, and contemporary cultural unrest themes. His scholarship demonstrates interdisciplinary connections between literary history, translation practice, and artistic expression. No scientific awards are documented in available sources. As a supervisor, Professor Fišer mentors students in Czech literature and creative writing, though specific grant funding or project details remain unspecified in source materials. No dedicated research laboratories or formal teams are associated with his work in the provided documentation.

• Cognitive Linguistics
• Chinese Linguistics
• Cultural Linguistics
• +۳ مورد دیگر

Wei-lun Lu serves as Associate Professor at the Seminar of Chinese Studies, Faculty of Arts, Masaryk University in Brno, Czech Republic. His office is located in building B1/B1.209 at Arna Nováka 1, 602 00 Brno, with contact details including email wllu@phil.muni.cz and phone 549 49 6824. His academic credentials include: Docent in General and Diachronic Linguistics (2023) Ph.D. in Linguistics from National Taiwan University (2011) BA in Foreign Languages and Literatures from National Taiwan University (2000) Dr. Lu's research integrates linguistic theory with cultural analysis, focusing on how cognitive processes shape language use in Chinese contexts. His work bridges anthropology, cognitive science, and linguistics to examine cultural conceptualizations in communication, particularly through frameworks like cultural linguistics and cognitive semantics. Current investigations explore digital media's role in cultural transmission and cross-cultural cognitive patterns. He has received the Young Scholars Award 2015 from the European Association for Taiwan Studies and maintains editorial roles including Review Editor for Review of Cognitive Linguistics and board memberships for Cognitive Linguistic Studies, International Journal of Language and Culture, and Asian-Pacific Journal of Second and Foreign Language Education. Dr. Lu leads significant research initiatives such as Virtual Theatre as a New Medium of Understanding Culture (Technology Agency of the Czech Republic) and The Language of Death in Contemporary Taiwan (Chiang Ching-kuo Foundation). His international collaborations span Fulbright scholarship at Rice University, postdoctoral fellowships at Leiden University, and projects supporting Chinese language education through virtual reality. He actively mentors student research through Masaryk University's Specific Research program.

• 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.

• Slavic Linguistics
• Translation Studies
• Proper Name Equivalence
• +۳ مورد دیگر

Stanislava Špačková serves as Assistant Professor in the Department of Slavic Studies within Masaryk University's Faculty of Arts, with correspondence address at Arna Nováka 1/1, 602 00 Brno. Her academic profile indicates active engagement in Slavic linguistic research with specialized focus on Czech-Russian translation dynamics. Her research interests center on proper name equivalence in translation, gender linguistics in Slavic contexts, and phraseological systems across Slavic languages. Notable contributions include monographs on Russian-Czech proper lexicon equivalence (2017) and analyses of gender-correct language usage in Czech (2019), reflecting her expertise in cross-linguistic challenges between Czech and Russian. Publication trends over the past decade demonstrate consistent scholarly output in Translation theory (particularly proper noun transfer) Gender-inclusive language development Historical evolution of Slavic linguistic systems Machine translation applications for Slavic languages with recent work extending into computational linguistics as evidenced by 2024 publications on machine translation mysteries. Her academic service includes membership in the Industry Council for Slavic languages and participation in editorial activities as indicated by review publications. Teaching responsibilities within the Department of Slavic Studies encompass Slavic linguistics and translation studies at Masaryk University.

• Natural Language Processing
• Computational Linguistics
• Syntax Analysis
• +۴ مورد دیگر

Vojtěch Kovář is a researcher at Masaryk University with dual appointments at the Institute of the Czech Language (Faculty of Arts) and the Center for Natural Language Processing (Faculty of Informatics). He has been affiliated with the university since 2006, holding positions as researcher and lecturer while also working as a software analyst at Lexical Computing CZ since 2012. His research focuses on automatic syntactic analysis of natural languages , particularly Czech and related languages, evaluation of syntactic analysis quality , integration of syntactic tools into downstream applications , and corpus linguistics . His work bridges theoretical linguistics with practical language technology applications. Recent publications reveal a strong trend toward dictionary creation methodologies , lexicographic infrastructure development , and corpus-based language resource compilation . His research increasingly addresses rapid dictionary development for both European and Asian languages, as well as bilingual resource creation in response to emerging language needs. PACLIC 2010 best student paper award Member of eLex conference program committee (2017-present) Kovář supervises bachelor's and master's theses at both the Faculty of Arts and Faculty of Informatics, with recent topics including semi-automatic dictionary creation, web-based proofreading systems, and automatic punctuation correction. He teaches multiple courses including Fundamentals of Mathematics and Statistics for Humanities, Algorithmic Description of Syntax, and Programming Basics for Humanities. His research is supported by projects including LINDAT/CLARIAH-CZ (Digital Research Infrastructure for Language Technologies) and the Web-based spelling, grammar and typographical corrector for Czech language initiative.

• Computational Linguistics
• Natural Language Processing
• Language Technology Infrastructure
• +۵ مورد دیگر

Jan Hajič is a Full Professor of Computational Linguistics and Deputy Director of the Institute of Formal and Applied Linguistics at Charles University in Prague, Czech Republic. He also directs the LINDAT/CLARIAH-CZ infrastructure, part of the EU CLARIN network. His academic roles include Adjunct Full Professor at the University of Colorado Boulder (since 2016). He holds leadership positions in major initiatives like the European Language Grid (ELG) and chairs META-NET, the European language technology network. Education: PhD in Computational Linguistics (1995) from Charles University, with earlier studies in Mathematics and Physics (1984). Industrial experience includes IBM Research (1991) and Johns Hopkins University (1999–2000 as Visiting Assistant Professor). Research interests focus on semantic analysis, multilingual NLP, treebanking (e.g., Prague Dependency Treebank), and large-scale language technology infrastructure. He leads projects like OpenEuroLLM (2025), HPLT (2022–2025), and UMR (2023–2027). Over 180 publications and a book on computational morphology highlight his scholarly contributions. Awarded Donatio Prize (2022), Silver Medal (2020), and recognition for best student paper (2005). PI/co-PI of 40+ projects, including EU Horizon grants and NSF-funded initiatives. Key roles in international conferences: ACL 2010 General Chair, CoNLL Shared Tasks, and TLT workshop series. Labs/Teams: Oversees LINDAT/CLARIAH-CZ, collaborates with Brandeis University, University of Colorado Boulder, and European research consortia. Active in policy through Czech Science Foundation and EU advisory boards.

• 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.

• Static Analysis of Programs
• Formal Verification
• Concurrency
• +۱۲ مورد دیگر

Tomáš Vojnar is a Professor at the Department of Intelligent Systems, Faculty of Information Technology, Brno University of Technology (FIT BUT), Czech Republic. He has been a faculty member since 1999, promoted to Associate Professor in 2007 and full Professor in 2012. He leads the VeriFIT research group and has extensive experience in academic leadership, including candidacy for Dean of FIT BUT in 2023 and chairing major conferences such as TACAS'19 and SV-COMP 2018. Research Interests: Static and dynamic analysis of programs, especially those with pointers and dynamic data structures Formal verification of concurrent and infinite-state systems Automata-theoretic and logical methods in verification Binary code analysis and performance analysis His recent publications show a strong trend in developing and applying static analysis tools for verifying memory safety, concurrency, and semantic equivalence in C programs. He has made significant contributions to tools like Predator, 2LS, and DiffKemp, which are widely used in the verification community and have achieved top rankings in international competitions such as SV-COMP. His work bridges theoretical foundations in automata and logic with practical software verification applications. Scientific Awards: Best theory paper award of ETAPS'10 (EATCS) Best paper awards at CADE'19 and CIAA'08 Best tool paper awards at ISSTA'18 and RV'12 Multiple gold, silver, and bronze medals in SV-COMP (Predator, 2LS, Symbiotic) Bronze Humies award for automated design of approximate circuits Gödel prize from FLoC 2014 Olympic Games 1 gold and 3 silver medals at SL-COMP'14 Siemens prize for outstanding PhD thesis (2001) Advising and Grants: He has supervised numerous PhD and Master's students who have contributed to major verification tools and publications. He has been actively involved in national and international research projects, including the Czech Science Foundation panel P103 (2019–2023), and has secured funding for research in formal methods and software verification. His collaborations span institutions in France (LIAFA, CNRS), Austria (TU Vienna), and beyond. Labs and Teams: He leads the VeriFIT research group at FIT BUT, which focuses on formal methods and software verification. The group develops state-of-the-art tools such as Predator (shape analysis), 2LS (heap verification), DiffKemp (semantic diffing), and others used in both academia and industry. The team actively participates in international verification competitions and collaborates with researchers worldwide.

Martin Nodlمشاهده پروفایل

دانشیار

• History and Theory of Historical Writing
• Social History of the Late Middle Ages
• Late Medieval Doctrines and Mentalities
• +۵ مورد دیگر

Martin Nodl is an Associate Professor in the Department of General Anthropology at Charles University's Faculty of Humanities, Prague, where he has served as a Research Fellow since 2011. Concurrently, he holds a Research Fellow position at the Centre for Medieval Studies (Academy of Sciences of the Czech Republic) since 2001, reflecting his dual institutional commitment to medieval scholarship. His educational trajectory includes: 2019: Habilitation at the Faculty of Humanities, Charles University 2011: PhD defense of thesis "Dekret kutnohorský" (Kuttenberg Decree) 2009–2011: External doctoral program at Masaryk University's Faculty of Arts 1988–1995: Undergraduate studies at Charles University's Faculty of Arts Nodl's research centers on the History and Theory of Historical Writing, Social History of the Late Middle Ages, and Late Medieval Doctrines and Mentalities. His work examines how medieval societies constructed historical narratives, navigated social transformations, and expressed religious worldviews, with particular focus on Bohemian-Czech contexts. He integrates anthropological frameworks to analyze cultural practices, institutional power dynamics, and collective memory formation in pre-modern Central Europe. His publication portfolio reveals consistent thematic evolution across three decades: early works established foundations in Kuttenberg Decree analysis (2010), followed by expanded explorations of medieval mentalities (2015), and culminating in recent interdisciplinary studies bridging historiography with anthropology (2020). Recurring motifs include ritual practices, urban social structures, religious conversion, and the political symbolism of medieval institutions. Nodl actively shapes scholarly discourse through editorial leadership, serving on boards for Studia z dziejów średniowiecza (Gdańsk), Forum historiae (Bratislava), and Studie mediaevalia Bohemica (Prague). His grant evaluation service for the Czech Academy of Sciences (2001-2003, 2006-2008) demonstrates institutional trust in his expertise. Since 1995, he has edited historical literature for Argo Publishers, contributing to public scholarly engagement. His research infrastructure operates through the Centre for Medieval Studies, where he collaborates with historians, archaeologists, and philologists on Central European medieval projects. Current initiatives emphasize transnational approaches to medieval ritual studies and the digital archiving of Czech historiographical traditions.

• Semantic Annotation
• User Interface Design
• Natural Language Processing
• +۴ مورد دیگر

Dr. Jaroslav Dytrych serves as Assistant Professor and Vice-dean for Information Support at the Department of Computer Graphics and Multimedia (DCGM) within the Faculty of Information Technology, Brno University of Technology. His dual role combines academic leadership in semantic technologies with institutional responsibilities for information systems management. Research focuses on advancing semantic annotation methodologies and user interface design: Semantic Annotation of Complex Textual Relations Empirical Evaluation of Annotation Interaction Patterns Collaborative Semantic Annotator Frameworks (4A System) Integration of Semantic Tools in Scholarly Workflows Java-Based Graphical User Interface Development Practical Software Design Principles His publication record demonstrates consistent innovation in annotation tool design, particularly through the 4A framework which addresses challenges in collaborative semantic processing. Research trends show progressive refinement from foundational scholarly communication models (2011) to advanced user interface solutions for complex relation annotation (2018). As an educator, he directs courses including Practical Aspects of Software Design (IVS) and Graphical User Interfaces in Java (GJA/GJAe), delivered in both Czech and English to undergraduate and graduate students. Office consultations follow structured availability with designated in-person hours on Tuesdays and Wednesdays, supplemented by evening online sessions via Microsoft Teams. Operational within the DCGM research ecosystem, his work intersects with natural language processing laboratories and software engineering teams developing annotation infrastructure. Current projects continue evolving the 4A framework for next-generation scholarly communication platforms.

• Natural Language Processing
• Computational Linguistics
• Dependency Syntax
• +۵ مورد دیگر

Prof. Zdeněk Žabokrtský is a Professor at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University in Prague. He serves as the head of the PhD study program in Computational Linguistics and teaches several courses including Language Data Resources, Variability of Languages in Time and Space, Natural Language Processing, and Introduction to Language Technologies. His office is located in room S 409 on the 4th floor in the Lesser Town area of Prague. Prof. Žabokrtský's research spans multiple areas of Natural Language Processing and Computational Linguistics. His primary interests include building multilingual morphological resources, developing NLP applications that utilize parallel corpora, studying dependency syntax and valency frameworks, coreference resolution, theoretical studies on formal representations of natural languages, and applying Machine Learning techniques to linguistic problems. His work bridges theoretical linguistics with practical applications in language technology. Analysis of Prof. Žabokrtský's recent publications reveals a strong focus on morphological analysis, coreference resolution across multiple languages, and cross-lingual NLP. His research spans diverse languages including Czech, Turkish, Russian, and various Indic languages. He has made significant contributions to morphological resources, word-formation networks, and multilingual coreference systems, often creating and utilizing linguistic resources while developing novel computational approaches to linguistic phenomena. As an academic leader, Prof. Žabokrtský has supervised numerous PhD students and contributed to major research projects at the Institute of Formal and Applied Linguistics. His work has been supported by various grants that have enabled the development of important linguistic resources and NLP tools. He has been instrumental in establishing the PhD study program in Computational Linguistics at Charles University. Prof. Žabokrtský is a key member of the Institute of Formal and Applied Linguistics research teams, contributing to projects focused on developing language technologies, creating linguistic resources, and advancing theoretical understanding of natural language processing. His work is closely integrated with the Prague Dependency Treebank project and other major linguistic resources developed at Charles University.

Martin Krulišمشاهده پروفایل

دانشیار

• High-performance computing
• GPU programming and CUDA optimization
• Parallel algorithms and data structures
• +۴ مورد دیگر

Martin Kruliš is an associate professor in the Department of Distributed and Dependable Systems at the Faculty of Mathematics and Physics, Charles University , Prague, Czech Republic. His primary roles include research, teaching, advising, and leading projects that bridge high-performance computing, GPU programming, and self-adaptive systems. Education: While exact details of his own degrees are not provided, Dr. Kruliš’s extensive publication record and faculty position at Charles University indicate advanced training in computer science with specialization in parallel and distributed computing. Research Interests: High-Performance GPU Computing: Deep investigation into CUDA kernel optimization, memory bandwidth utilization, and workload dispatching for massively parallel accelerators. Self-Adaptive & Self-Optimizing Systems: Designing ensemble-based abstractions that integrate machine-learning estimators to enable runtime adaptation in component architectures. Parallel Algorithms & Data Structures: Development of cache-friendly, SIMD-aware, and GPU-accelerated algorithms for clustering, dimensionality reduction, and similarity search. Software Engineering for Parallelism: Creation of C++ libraries, DSLs (e.g., Bobolang), and educational tools (ReCodEx) that simplify parallel programming and automated evaluation. Publication Trends: Across 2011–2025, Kruliš’s articles reveal a clear trajectory from foundational GPU-accelerated indexing and multimedia retrieval toward sophisticated self-adaptive systems that leverage machine learning. Recent works (2023–2025) increasingly focus on integrating LLMs and neural networks into compiler and runtime optimization loops, reflecting a convergence of AI and systems research. Scientific Awards & Recognition: No specific awards or fellowships are mentioned in the provided text; however, sustained publication in top-tier venues (JPDC, IPDPS, Euro-Par, SEAMS) and active involvement in program committees and tool development indicate strong peer recognition. Teaching & Student Supervision: Teaches Programming in Parallel Environment (NPRG042) , Advanced Programming in Parallel Environment (NPRG058) , Computer Systems (NSWI170) , and Software Projects . Supervises numerous bachelor’s and master’s theses; exact student names are not listed in the text. Labs, Projects & Tools: ReCodEx: A widely used platform for semi-automated evaluation of programming assignments at Charles University. Simdex: A modular simulator of the ReCodEx backend that enables realistic experimentation with self-adaptive job dispatching and machine-learning controllers. Active contributor to open-source repositories on GitHub, focusing on GPU kernels, benchmarking frameworks, and educational tooling.

• Natural Language Processing
• Artificial Intelligence
• Information Extraction
• +۴ مورد دیگر

Assoc. Prof. Pavel Pecina, Ph.D., is a faculty member at the Institute of Formal and Applied Linguistics, Faculty of Mathematics and Physics, Charles University, Prague, Czech Republic. His primary academic role as an Associate Professor focuses on Natural Language Processing , Artificial Intelligence , and related areas. Research Interests: Information extraction, information retrieval, machine translation, multimodal data interpretation, optical music recognition Teaching: Courses since 2012-2022 including Natural Language Processing , Information Retrieval , and Statistical Methods in NLP Key Research Projects include GI-Insight (AI for healthcare), RES-Q+ (global stroke care registry), and MEMORISE (heritage digitization). His recent publications (2023-2025) demonstrate expertise across clinical NLP , historical document analysis , and music technology domains. Advising: Supervised 10+ graduate students in areas ranging from semantic search to optical music recognition. Collaborates with international institutions on multilingual translation and medical informatics challenges through initiatives like IWSLT and CLEF eHealth.

• interpretation of deep neural networks
• machine learning
• dependency syntax
• +۳ مورد دیگر

David Mareček is a researcher at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University. His work focuses on neural network interpretation, machine learning, dependency syntax analysis, and machine translation, with a particular emphasis on unsupervised and semi-supervised parsing techniques. Current projects: GenderBias (2023–present), EduPo (2024–present) Long-term contributions in dependency treebanks (HamleDT, 2012–2016) and neural machine translation frameworks (Treex, TectoMT) His research explores linguistic structure in neural architectures, including BERT and Transformer models, through methods like structural probing and attention analysis. Recent publications examine gender bias mitigation, automated poetry analysis, and theatre script generation. Key collaborations include Rudolf Rosa, Tomáš Musil, and Tomasz Limisiewicz. He supervises students in projects spanning multilingual representations, language model probing, and bias detection in AI systems. Technical leadership in developing tools like THEaiTRobot and DEPFIX demonstrates his commitment to applied computational linguistics and robust NLP systems.

Milan Strakaمشاهده پروفایل

استاد

• Machine Learning
• Artificial Neural Networks
• Deep Learning
• +۱۲ مورد دیگر

Milan Straka is a professor at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University, Prague. His research focuses on machine learning, artificial neural networks, deep learning, and structured prediction with applications to natural language processing (NLP) tasks including POS tagging, dependency parsing, named entity recognition, and optical music recognition. University: Charles University School: Faculty of Mathematics and Physics Department: Institute of Formal and Applied Linguistics Straka has developed several NLP tools like UDPipe and NameTag, contributing to multilingual coreference resolution, Czech grammar error correction, and historical language processing pipelines. His recent work involves contextualized embeddings, semantic parsing, and large-scale dataset creation for Czech NLP tasks. He collaborates on European Language Grid initiatives and has participated in multiple shared tasks (CRAC, MRP, W-NUT). His publications span topics from algorithm design (functional data structures) to modern transformer-based language models (RoBERTa) with emphasis on Czech language resources.