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Professor Jan Černocký serves as Head of Department at the Department of Computer Graphics and Multimedia (DCGM) within the Faculty of Information Technology at Brno University of Technology (FIT VUT). With a professional email cernocky@fit.vut.cz and office L221.2, he maintains an active research profile with numerous publications spanning over 20 years in the field of speech processing and recognition. His work is well-documented through multiple research identifiers including ORCID iD 0000-0002-8800-0210, Scopus Author ID 6604040821, and Researcher ID M-7494-2019. Professor Černocký's research interests focus primarily on advanced speech processing technologies, with particular emphasis on speech recognition, speaker verification, language identification, and multimodal systems. His work demonstrates a strong trajectory from traditional speech processing techniques toward modern deep learning approaches, especially in self-supervised learning for speech applications. Recent publications show his leadership in developing benchmarks like TS-SUPERB for target speech processing and innovative methods for speaker verification using transformer models. His research group at BUT has made significant contributions to multi-channel speech processing, target speech extraction, and speaker diarization systems. The analysis of Professor Černocký's recent publications (2023-2025) reveals several key trends in his research direction. There's a clear shift toward self-supervised learning approaches for speech processing, with numerous papers exploring how pre-trained models can be adapted for speaker verification, target speech extraction, and multi-channel processing. His work increasingly incorporates transformer architectures and attention mechanisms, reflecting the broader trends in speech processing research. The 2024 publications particularly highlight work on multimodal analysis (BESST dataset for stress detection) and practical applications of speech technology for social inclusion. Throughout his career, Professor Černocký has maintained strong collaborative relationships with researchers across Europe and internationally, evidenced by his extensive publication record with co-authors from multiple institutions. His leadership role as Head of Department at DCGM places him at the center of speech processing research at Brno University of Technology, where his team continues to produce cutting-edge research in speech technology.

• Speech Recognition
• Speaker Verification
• Language Identification
• +7 more

Ondřej Bojar is an Associate Professor at the Institute of Formal and Applied Linguistics (UFAL), part of the Faculty of Mathematics and Physics at Charles University in Prague . He actively engages in research and teaching, with a focus on machine translation and computational linguistics. His work spans both theoretical and applied domains, involving collaborations with industry and academia.

• Machine Translation
• Computational Linguistics
• Computer Science
• +9 more

David Zbíral is Professor and Deputy Head of the Department of Religious Studies at Masaryk University's Faculty of Arts, where he leads research initiatives through the Center for Digital Research on Religion. His academic position involves both administrative leadership and advanced research in medieval religious history with computational methodologies. His research focuses on applying digital humanities approaches to medieval inquisition records, particularly through: Computational analysis of religious dissent and heresy prosecutions Network modeling of social and religious relationships Gender studies in medieval religious contexts Digital reconstruction of historical judicial processes Semantic text modeling of historical documents Zbíral's recent publications demonstrate a strong emphasis on computational methods in historical research, particularly using network analysis, natural language processing, and quantitative approaches to study medieval inquisition records across Europe. His work frequently examines social dynamics, gender patterns, and spatial relationships in religious dissent cases from the 11th to 15th centuries. He leads the DISSINET project (Networks of Dissent), which develops computational models of dissident and inquisitorial cultures in medieval Europe. This interdisciplinary initiative combines historical research with cutting-edge digital methodologies to analyze patterns of religious nonconformism.

• Medieval Religious History
• Digital Humanities
• Inquisition Studies
• +3 more

Mgr. Pavel Pilch, Ph.D. serves as Assistant Professor at the Department of Slavic Studies within the Faculty of Arts at Masaryk University in Brno, Czech Republic. His academic profile combines teaching expertise in South Slavic languages with specialized research in Yugoslavian comics and contemporary Balkan literatures, supported by certification as a court interpreter for Bosnian, Croatian, and Serbian languages since 2019. Dr. Pilch completed his academic formation at Masaryk University with a Ph.D. in Theory and History of Slavic Literatures (2021), preceded by Mgr. (2013) and Bc. (2011) degrees in Croatian Language and Literature, and a Bc. in Czech Language and Literature (2010). His graduate theses examined linguistic taboos and translation challenges across Slavic languages, establishing foundations for his current scholarly trajectory. His research centers on Yugoslavian comics history and contemporary Serbian literary production, with significant contributions to translation studies and Balkan cultural analysis. Methodologically, Pilch integrates textual criticism with sociolinguistic frameworks, particularly examining swearing as cross-cultural communication barriers. His fieldwork includes academic residencies at Dubrovnik's Centre for Advanced Academic Studies (2014, 2016) and Belgrade University (2015), focusing on language policy and literary traditions within South Slavic contexts. Analysis of Pilch's 2023-2025 publications reveals expanding interdisciplinary engagement, from core comics studies (e.g., Kája Saudek's narrative techniques) to emerging digital humanities applications (AI in language pedagogy) and urban cultural studies (Brno pub transformations). His work consistently addresses intercultural communication challenges across Slavic linguistic spaces, with increasing attention to visual narrative forms and contemporary cultural phenomena. Dr. Pilch received recognition in 2014 through an Honorable Mention in the Jiří Levý Competition for his Croatian literary translation. Jiří Levý Competition - Honorable Mention (2014) As a supervisor, he currently guides master's theses including research on cybertext variables in Czech-Russian language comparison. His grant portfolio demonstrates sustained institutional support through Masaryk University's Specific Research program since 2021, with principal investigator roles in projects examining Slavic cultural border zones (2023-2025), historical epochs in Slavic cultures (2022), and professional writing for Slavic scholars (2022). Slavic Languages, Literatures and Cultures at the Border of Three Civilizations (MUNI/A/1632/2024) Identity, equivalence and otherness in Slavic languages (MUNI/A/1479/2023) Ideology in Slavic Literatures and Cultures (MUNI/A/1349/2022) Historical Epochs in Slavic Cultures (MUNI/A/1335/2022) Pilch actively contributes to scholarly communities through the Brno-based Porta Balkanica association and co-organization of the annual Croatianist Meetings in Brno, fostering regional networks in South Slavic studies while maintaining collaborative ties with Dubrovnik's academic institutions and Belgrade University's summer programs.

• South Slavic Literatures
• Comics Studies
• Translation Studies
• +4 more

Erik Derner is an ELLIS Postdoctoral Researcher at the ELLIS Unit Alicante, focusing on human-centric AI and ethical LLMs. He collaborates with Prof. Robert Babuška's Machine Learning team at the Czech Institute of Informatics, Robotics, and Cybernetics (CIIRC) and contributes to the VIVES project under the PERTE of New Language Economy. His work addresses biases in LLMs, AI safety, and security, while also exploring symbolic regression for robotics and reinforcement learning. Education: Ph.D. in Robotics and Machine Learning (2022) from Czech Technical University in Prague, with B.Sc. and M.Sc. in Open Informatics. Erik's research spans human-centric AI , large language models , robotics , computer vision , and reinforcement learning . He emphasizes ethical and secure AI development, particularly for underrepresented languages. His work integrates symbolic regression with neural networks to create interpretable and efficient models for robotics. Recent publications highlight his focus on LLM security , gender bias analysis , and symbolic regression for dynamic systems. Notable trends include ethical AI, multimodal red-teaming, and physics-informed modeling. Scientific Awards: Werner von Siemens Award (2023) for his Ph.D. thesis. CTU FEE Dean's Award (2023) for a prestigious dissertation. Erik supervises student projects in robotics, AI ethics, and LLM security, including internships and theses on topics like mental health risks, toxicity evaluation, and real-time assistance for the visually impaired.

• Human-Centric Artificial Intelligence
• Large Language Models
• Robotics
• +6 more

Milan Kuchtiak is a researcher at the Institute of Formal and Applied Linguistics (UFAL), Faculty of Mathematics and Physics, Charles University in Prague. His work bridges theoretical linguistics with practical computational applications in language technology. His research spans core areas of modern linguistics: Natural Language Processing for machine translation and text analysis Computational modeling of linguistic structures Formal grammatical frameworks Applied language resource development These interests drive innovations in human-language technology interfaces and multilingual systems. UFAL operates as a dynamic research hub where theoretical linguistics converges with computer science to solve real-world language challenges across European and global contexts.

• Linguistics
• Natural Language Processing
• Computational Linguistics
• +2 more

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.

• Esports Research
• Sports Management
• Kinanthropology
• +3 more

Assoc. Prof. Vladislav Kuboň, Ph.D., serves at the Institute of Formal and Applied Linguistics (UFAL) within the Faculty of Mathematics and Physics at Charles University in Prague. He holds active roles in faculty management and advisory bodies, with his office located in room S 422 at Malostranské nám. 2/25, Prague 1. His research focuses on computational approaches to language processing, including: Natural Language Processing methodologies Statistical dialogue system architectures Dependency parsing and treebank harmonization Machine learning applications for multilingual NLP Resource development for linguistic frameworks Supervision includes Ahmad Aghaebrahimian's work on the HamleDT (HArmonized Multi-LanguagE Dependency Treebank) project, which establishes standardized linguistic resources across languages. Teaching responsibilities encompass advanced courses such as Statistical Dialogue Systems, reflecting his expertise in human-computer interaction through language technology. Contact details include email vk@ufal.mff.cuni.cz and phone 95155 4255, with a maintained professional homepage at http://ufal.mff.cuni.cz/~kubon/.

• Natural Language Processing
• Computational Linguistics
• Statistical Dialogue Systems
• +3 more

Markéta Lopatková , Associate Professor at the Institute of Formal and Applied Linguistics (Faculty of Mathematics and Physics, Charles University), is a leading Czech computational linguist specializing in dependency syntax, valency theory, and formal language modeling. Her work focuses on the Prague Dependency Treebank and VALLEX valency lexicon, incorporating tectogrammatical representations and dependency analysis by reduction. She has coordinated major EU projects like LCT and CLARA, and served on editorial/review boards for journals and conferences. Ph.D. in Computational Linguistics (2001), Charles University M.Sc. in Mathematics (1992), Charles University Research spans Czech sentence ambiguity, non-projectivity, light verb constructions, and reflexive/reciprocal modeling using restarting automata. Her 15 most recent articles address topics like Uniform Meaning Representation conversion, cross-lingual dependency analysis, and reflexive construction detection in Czech. As principal investigator for projects such as VALLEX (2018-2020) and Delving Deeper (2012-2015), she advanced valency lexicon methodologies and linguistic theory feedback loops for NLP systems. Awards include Charles University's Silver Medal (2021), Monographs of Distinction (2016), and Slovník roku 3rd Place (2009). She has supervised 5 PhD students and 6 Master’s students, contributing to European Masters programs (LCT) and international conference committees (ACL, COLING, EURALEX). Scientific Leadership : Deputy Head of Institute (2021), Former Head (2012-2020) Teaching : Courses in Dependency Grammars, Mathematical Methods in Linguistics, and Mathematical Analysis (Czech)

• Dependency Syntax
• Treebanking
• Tectogrammatical Representation
• +10 more

Jiří Hana is a researcher at the Institute of Formal and Applied Linguistics (UFAL), Faculty of Mathematics and Physics, Charles University in Prague. His work focuses on computational linguistics, particularly resource-light morphological analysis, learner corpora, and grammar modeling for morphologically complex languages like Czech and Russian. Key Research Areas : Computational morphology, learner corpus annotation, grammar models for fusional languages, tagset design, and natural language processing. Grants & Support : Funded by the U.S. NSF (award #0916280) and the Czech Republic Grant Agency (P406/10/P328). Publication Trends : His recent work (2017–2020) emphasizes syntactic annotation of non-native Czech within Universal Dependencies frameworks, leveraging learner corpora for language acquisition research, and developing tools like feat and law for morphological disambiguation. Advising Roles : Supervised 9 students (2011–2024) on projects spanning text classification, error detection, quote attribution, and multilingual learning through audiovisual input. Tools & Contributions : Developed the Russian positional tagset (2010), feat (layered error annotation), and law (manual morphological disambiguation).

• Computational Linguistics
• Morphology
• Grammar
• +7 more

Jana Straková is a researcher at the Institute of Formal and Applied Linguistics (ÚFAL) within the Faculty of Mathematics and Physics at Charles University in Prague. Her work focuses on advancing natural language processing techniques for multilingual applications, particularly in deep learning architectures for linguistic analysis. Her research interests span Natural Language Processing , Deep Learning , and Multilingual Text Processing with specialization in named entity recognition, dependency parsing, and morphological analysis. She has pioneered neural network approaches for tasks like diacritics restoration and grammar error correction, with particular emphasis on Czech language processing while extending methodologies to Latin and other languages. Analysis of her publication record from 2019-2025 reveals consistent innovation in NLP tool development, particularly the NameTag and UDPipe systems. Her work demonstrates strong integration of contextual embeddings with linguistic resources, showing increasing focus on cross-lingual transfer and historical language processing in recent years. As part of the ÚFAL research group, she collaborates extensively with Milan Straka and Jan Hajič on developing open-source NLP pipelines. Her projects include creating large-scale datasets like CWRCzech for web relevance ranking and advancing ontology engineering through LLM-augmented approaches.

• Natural Language Processing
• Deep Learning
• Multilingual Text Processing
• +3 more

Daniel Zeman is an Associate Professor at the Institute of Formal and Applied Linguistics (ÚFAL), Faculty of Mathematics and Physics, Charles University in Prague. His work focuses on computational linguistics, particularly morphological analysis and dependency syntax of natural languages. He co-leads the Universal Dependencies project, a major international effort to create cross-linguistically consistent treebank annotation that has become a de-facto standard in the field, currently covering 148 languages with biannual releases. Dr. Zeman's research interests include: Computational models of morphology and syntax Multilingual approaches working across typologically different languages Cross-lingual techniques supporting disadvantaged languages with limited resources Harmonized data resources for multilingual processing Deep syntactic relations, semantic roles, and coreference His publication record shows a consistent focus on universal frameworks for linguistic annotation. The Universal Dependencies project, which he co-leads, represents a paradigm shift in how linguistic resources are created and shared across languages. His work bridges theoretical linguistics with practical language technology applications, with particular emphasis on making NLP accessible for resource-poor languages through cross-lingual transfer techniques. Scientific recognition includes: Fulbright-Masaryk Fellowship (2006-2007) at University of Maryland Dean's award for best monograph at the Faculty of Mathematics and Physics (2018) Senior area chair for LREC-COLING 2024 (CORE B conference) Area chair for ACL 2020 (CORE A* conference) Dr. Zeman has supervised 19 graduate students to completion (1 PhD, 13 Master's, 5 Bachelor's) as of March 2024. He leads several major research initiatives including Universal Dependencies (since 2014), CorefUD (since 2021), and is Vice-Chair of COST Action UniDive (2022-2026). His current projects span historical linguistics (HiČKoK, 2023-2026) to language understanding from syntax to discourse (LUSyD, 2020-2024). He has developed key linguistic resources including Interset (tagset conversion framework), HamleDT (harmonized treebanks), and Universal Dependencies. With over 5,468 citations and an h-index of 28, his work has significantly shaped modern computational linguistics methodology.

• Dependency Syntax
• Morphological Analysis
• Computational Linguistics
• +7 more

Assoc. Prof. Pavel Ircing, Ph.D., is affiliated with the Institute of Formal and Applied Linguistics. His work spans theoretical and practical applications in linguistic research. His research interests include formal linguistic frameworks , computational linguistics , and natural language processing .

• Linguistics
• Formal Linguistics
• Applied Linguistics

Prof. Klára Osolsobě serves as a Professor at the Institute of Czech Language, Faculty of Arts, Masaryk University in Brno, Czech Republic, with her office located in building D/D.313 at Arna Nováka 1. She completed her habilitation procedure for associate professor in 2012 and was appointed full professor following procedures concluding on November 26, 2024. Her research centers on Czech language morphology, particularly verb systems and deverbative formations, with direct applications to machine analysis and computational linguistics. She actively contributes to both Bachelor's and Master's Computational Linguistics programs through the Program Board, bridging theoretical linguistics with practical computational methodologies. Prof. Osolsobě holds membership in the Industry Council for Czech language and serves as academic supervisor. Her professional contact includes phone 549 49 5694 and email osolsobe@phil.muni.cz, reflecting her ongoing institutional engagement within Masaryk University's Faculty of Arts framework.

• Czech Language
• Computational Linguistics
• Morphology
• +3 more

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.

• Slavic Linguistics
• Translation Studies
• Proper Name Equivalence
• +3 more