جستجوی استاد راهنمای دانشگاهی

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
• +۷ مورد دیگر

Ing. Petr Schwarz, Ph.D. , is an Assistant Professor at the Department of Computer Graphics and Multimedia, Faculty of Information Technology, Brno University of Technology. He specializes in speech recognition and biometric systems, with a focus on robustness in real-world conditions. Current roles: Assistant Professor, Researcher, Project Lead Key affiliations: Brno University of Technology (FIT), EU Horizon Europe, Czech Defense Research Program His research spans speech recognition , language identification , and multimodal datasets for security applications. Recent work includes AI-driven emergency call systems and tools to combat voice deepfakes. Notable projects include: Multilingual and Cross-cultural Dialogue Systems (EU Horizon Europe, 2024-2026) Voice Deepfake Detection (Czech Sectech Program, 2024-2026) His publications analyze Gaussian mixture models, i-vector migration, and phonetic search techniques. Trends emphasize robust algorithms for security-critical domains . Scientific accolades include the Silver Medal from BUT Rector (2006) and Brno FIT Bronze Medal (2022). He has contributed to open-source tools like Kaldi and developed systems for NIST evaluations.

• Speech Recognition
• Language Identification
• Speaker Recognition
• +۳ مورد دیگر

Prof. Radek Čech, Ph.D., serves as a Professor at the Institute of Czech Language within the Faculty of Arts at Masaryk University in Brno, Czech Republic. His office is located in building D/D.312 at Arna Nováka 1, 602 00 Brno, with contact details including phone 549 49 3306 and email cehradek@phil.muni.cz. His research spans Historical Linguistics, Phonology, Czech Language, Quantitative Linguistics, Corpus Linguistics, and Slavic Linguistics, focusing on diachronic phonological evolution, syllabic structures, enclitic word order, and statistical laws in language. Prof. Čech employs interdisciplinary methodologies blending philological analysis with computational techniques to examine historical Czech texts, Old Church Slavonic materials, and cross-linguistic patterns. Analysis of his 2023-2025 publications reveals concentrated research on syllabic consonant development in Czech, particularly through corpus-based studies of Old Czech verse and biblical translations. Key trends include the application of the Sonority Sequencing Principle to historical data, quantitative validation of the Menzerath-Altmann law across languages (including Chinese), and computational stylometric analysis of Slavic texts. His work consistently bridges theoretical phonology with empirical historical evidence. Prof. Čech actively collaborates with researchers like Marketa Zikova, Martin Brezina, and Pavel Kosek, presenting at international conferences such as QUALICO 2025 and organizing events like the Diachronic Slavonic Syntax series. His contributions emphasize methodological innovation in combining traditional philology with digital humanities approaches for Slavic linguistic research.

• Historical Linguistics
• Phonology
• Czech Language
• +۳ مورد دیگر

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
• +۷ 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.

• Natural Language Processing
• Computational Linguistics
• Dependency Syntax
• +۵ 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.

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

Pavel Flegontov, Ph.D. is a researcher at the Department of Biology and Ecology within the Faculty of Science at the University of Ostrava. He specializes in population genetics, archaeogenetics, and genomic analysis with a particular focus on human evolutionary history across Eurasia and Southeast Asia. His research integrates ancient DNA analysis with computational methods to reconstruct population histories and migration patterns. Dr. Flegontov's primary research interests center on population genetics and human evolutionary history, with significant contributions to understanding the genetic history of Eurasian and Southeast Asian populations. His work employs advanced statistical methods including f-statistics and qpAdm modeling to analyze genetic admixture events. He has made important contributions to studies of Indo-European origins, Kra-Dai speakers in Thailand, and South Asian genetic influences in Southeast Asia, demonstrating expertise in connecting genetic data with historical and linguistic evidence. His publication record shows a strong trend toward increasingly sophisticated methods for analyzing complex population histories, with recent work focusing on methodological limitations and improvements in genetic admixture analysis. His research spans both human population genetics and marine microbial ecology, reflecting interdisciplinary approaches to evolutionary questions. The consistent publication in high-impact journals like Nature, Science, and PLOS Genetics demonstrates significant contributions to the field. Dr. Flegontov serves as principal investigator for multiple research grants, including projects funded by the Czech Science Foundation (GA ČR) and the Czech Academy of Sciences (GA AV). His current projects include "Archeogenetic perspective on the spread of Slavs in the first millennium AD" (2025-2027) and previously led "Genomic formation of Indo-Europeans: new approaches to modeling genetic admixture guided by simulated data" (2021-2024). He has also collaborated with Harvard University on subcontract research agreements. He teaches courses in genome analysis (WGEAN, 7GEAN, 8GEAN) and has supervised doctoral research, including Nefize Ezgi Altinişik's 2019 dissertation on the connection between America and Eurasia: Population history of people in the American Arctic. His work demonstrates strong mentorship in training the next generation of population geneticists.

• Population Genetics
• Ancient DNA Analysis
• Human Evolutionary History
• +۷ مورد دیگر

Professor Pavel Kosek serves as Head of the Department of Czech Language at Masaryk University's Faculty of Arts in Brno, Czech Republic. He completed his habilitation procedure in 2014, resulting in his appointment as associate professor, and subsequently earned full professorship in 2021 following a formal appointment process that concluded on May 8, 2021. His academic career demonstrates a clear trajectory of advancement within the Czech linguistic scholarly community. Professor Kosek's research focuses on historical Czech linguistics, with particular expertise in enclitic behavior during the Baroque period (1620-1775). His habilitation thesis, Enclitics in Czech of the Baroque Period , represents a comprehensive analysis of word order patterns across various syntactic elements that function as enclitics in modern Czech. His work challenges previous assumptions about Baroque Czech as a period of linguistic decline, demonstrating sophisticated linguistic structures worthy of scholarly attention. His research methodology involves analyzing diverse Baroque-era texts including religious instructional prose, professional texts, Bible translations, entertainment prose, historiography, instructional literature, homiletics, journalism, and administrative documents. This broad textual coverage allows for comprehensive analysis of enclitic behavior across different genres and communicative contexts. His work examines both the position of enclitics within clauses and their relationship to syntactically superordinate words. Professor Kosek actively contributes to academic governance as a member of the Industry Council for Czech language and Linguistics, the Program Board for multiple degree programs (including Czech Language and Literature at both Bachelor's and Master's levels, Computational Linguistics, and Teaching Czech Language and Literature for Secondary Schools), and the Scientific Council of the Faculty of Arts.

• Czech Linguistics
• Historical Linguistics
• Syntax
• +۳ مورد دیگر

Michaela Boháčová serves as an Assistant Professor in the Department of Czech Language at Masaryk University's Faculty of Arts, where she conducts research within the Institute of the Czech Language. Her academic work focuses primarily on onomastics, particularly the study of place names and naming systems in the Czech context. Boháčová's research interests span urbanonymic systems, dialectal influences on geographical names, historical toponymy, and linguistic landscape analysis. She has extensively examined naming conventions in Brno's housing estates, vineyard routes, and multilingual urban environments. Her work demonstrates how cultural, historical, and political factors shape naming practices and how these names reflect community identity and historical development. Her publication record shows consistent scholarly output across multiple formats including journal articles, conference presentations, book chapters, reviews, and editorial work. Recent research trends indicate a growing focus on the transformation of urban naming systems, particularly in post-socialist contexts, and the preservation of dialectal forms within standardized geographical nomenclature. As an active researcher, Boháčová participates in academic conferences, delivers requested lectures, and contributes to scholarly discourse through editorial work and reviews of significant publications in her field.

• Onomastics
• Toponymy
• Urbanonymy
• +۵ مورد دیگر

Zuzana Nevěřílová serves as an Assistant Professor at Masaryk University's Department of Czech Language within the Faculty of Arts. She also maintains external cooperation with the Department of Machine Learning and Data Processing at the Faculty of Informatics, demonstrating interdisciplinary engagement between linguistic theory and computational approaches. Her research interests span computational linguistics with particular emphasis on Czech language processing, natural language processing methodologies, and development of language resources. Her work bridges theoretical linguistics with practical computational applications, focusing on areas such as named entity recognition, text analysis, word embeddings, and language resource development. Dr. Nevěřílová's recent publication trends (2021-2025) reveal strong focus on Czech language technologies, including named entity processing in parallel corpora, efficient language models, and educational applications of NLP. Her work demonstrates consistent contributions to Slavonic language processing communities through workshops like RASLAN and conferences like TSD. Her scientific contributions include extensive publications in proceedings of international conferences and workshops, software development for language resources, and educational materials for digital humanities. She has supervised various projects related to language technology and has contributed to significant resources like the New Encyclopedic Dictionary of Czech and VerbaLex lexical database. Her research has practical applications in language services, educational technology, and digital humanities. Dr. Nevěřílová works within the Institute of the Czech Language at Masaryk University, contributing to research teams focused on Czech language processing, corpus development, and computational lexicography.

• Computational Linguistics
• Natural Language Processing
• Czech Language Processing
• +۴ مورد دیگر