جست‌وجوی استاد و پژوهشگر

• Architectural Design
• Urban Planning
• Parametric Design
• +۵ مورد دیگر

Jan Kratochvíl serves as a Lecturer at the Department of Drawing within the Faculty of Architecture at Brno University of Technology, where he also holds the position of Vice-dean for BSP and MSP Studies. His academic profile spans architectural design, parametric modeling, and sustainable urban development, with active involvement in both educational and professional projects. His research interests focus on parametric design methodologies , Building Information Modeling (BIM) , and 21st-century library architecture , emphasizing sustainable practices and cultural context. Kratochvíl bridges theoretical frameworks with practical applications through projects like Rekonstrukce obecních knihoven and Cesty do Benátek , exploring regional identity and digital design innovation. His publication trends reveal a consistent engagement with architectural theory (e.g., Vitruvian principles in modern contexts) and practical design solutions for residential, public, and cultural spaces. Projects frequently address sustainability, historical preservation, and community-centered design, reflecting his commitment to architecture as a socially responsive discipline. Kratochvíl teaches courses including BIM-NE Computer Skills , Parametric Design , and Marketing for Architects , while leading initiatives like Nové digitální techniky v architektonickém navrhování . His artistic outputs span realized buildings (e.g., Vila v Brně-Jundrově ), competition entries, and exhibitions such as Galerie Zdeňka Buriana , demonstrating applied research in urban and landscape design.

• Speech Recognition
• Speaker Verification
• Language Identification
• +۷ مورد دیگر

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.

• Architecture
• Urban Design
• Sustainable Design
• +۳ مورد دیگر

Martin Kaftan is a faculty member at the Faculty of Architecture, Brno University of Technology, serving as Head of the Department of Experimental Design. He teaches courses such as Elaboration of Master's Thesis Concept , Computer Skills – Creative Programming , and Specialized Studios , with a focus on experimental design and computational workflows in architecture. His research interests span Architecture, Urban Design, Sustainable Design, Parametric Modeling, and Building Integrated Photovoltaics (BIPV) . He explores innovative material applications (e.g., ceramic tiles, plywood in polar stations) and integrates digital tools like augmented reality and parametric design into early architectural processes. Recent publications highlight his work on differentiated slip casting , polar station form finding , and BIPV systems , reflecting trends in material science, climate-adaptive architecture, and computational design . His projects often involve interdisciplinary collaboration and address challenges in extreme environments. He contributes to academic governance as a member of the Board of BSP and MSP Architecture and Urban Design and the Dean’s Advisory Board at his institution.

Daniel Říhaمشاهده پروفایل

استادیار

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

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

• Distributed Systems
• Reliable Systems
• Software Engineering
• +۳ مورد دیگر

Petr Hnětynka serves as Associate Professor at the Department of Distributed and Reliable Systems within the Faculty of Mathematics and Physics at Charles University in Prague. He holds active roles in the Academic Senate and faculty management advisory bodies, with his workspace located in room S 212 at Malostranské náměstí 2/25 in Prague 1's Lesser Town district. His research centers on Distributed Systems and Reliable Systems , emphasizing Fault Tolerance and Dependable Computing to address critical challenges in system resilience and architectural robustness. These domains directly inform his teaching and supervision activities within the department's technical framework. Professor Hnětynka maintains active supervision of student works while contributing to institutional governance. His operational base in the historic Lesser Town campus facilitates collaboration within Charles University's computational research ecosystem, leveraging the department's focus on real-world system reliability.

Erik Dernerمشاهده پروفایل

پژوهشگر

• Human-Centric Artificial Intelligence
• Large Language Models
• Robotics
• +۶ مورد دیگر

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.

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

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

• Distributed Systems
• Reliable Computing
• Software Engineering
• +۳ مورد دیگر

František Plášil is a Professor at the Department of Distributed and Reliable Systems, Faculty of Mathematics and Physics, Charles University in Prague. His research focuses on distributed systems, fault-tolerant computing, and software architecture for reliable applications. He is affiliated with the D3S research group (Distributed and Dependable Systems), where he contributes to advancing robust system design and academic teaching. Research Interests: Distributed systems, reliable computing, software engineering, system architecture, fault tolerance, and dependable applications. Contact: Email frantisek.plasil@d3s.mff.cuni.cz or visit his homepage for detailed information.

• Distributed Systems
• Fault-Tolerant Computing
• Reliable Systems Design

Prof. Petr Tůma is a faculty member at the Faculty of Mathematics and Physics of Charles University in Prague, Czech Republic. He works in the Department of Distributed and Reliable Systems , focusing on distributed computing and system reliability. Email: petr.tuma@d3s.mff.cuni.cz Office Location: Room 205, 2nd floor, Lesser Town, Malostranské nám. 2/25, Prague 1 His research interests center on distributed systems and fault-tolerant computing , with a focus on architectures for reliable and scalable computing environments. Work can be explored further via his homepage or through listed publications.

• Computer Graphics
• Virtual Reality
• 3D Visualization
• +۳ مورد دیگر

Michal Španěl is an Associate Professor in the Department of Computer Graphics and Multimedia at the Faculty of Information Technology, Brno University of Technology. His academic work centers on visual computing with emphasis on practical implementations and system architectures. His research spans Computer Graphics , Virtual Reality , and 3D Visualization , focusing on real-time rendering techniques, scientific visualization frameworks, and multimedia system design. Key methodologies include GPU programming, interactive visualization pipelines, and cross-platform graphics applications. Dr. Španěl maintains active scholarly identifiers including ORCID iD 0000-0003-0193-684X, ResearcherID G-9639-2016, and Scopus Author ID 22836945200 for tracking his academic contributions.

• Natural Language Processing
• Computational Linguistics
• Statistical Dialogue Systems
• +۳ مورد دیگر

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/.

Jana Strakováمشاهده پروفایل

پژوهشگر

• Natural Language Processing
• Deep Learning
• Multilingual Text Processing
• +۳ مورد دیگر

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.

Martin Syselمشاهده پروفایل

دانشیار

• Computer Architecture
• Operating Systems
• Inertial Navigation
• +۳ مورد دیگر

Martin Sysel serves as an Associate Professor at the Institute of Computer and Communication Systems within the Faculty of Applied Informatics at Tomas Bata University in Zlín, Czech Republic, holding this position since 2010 after progressing through academic ranks at the same institution since 2001. His academic credentials include: Ph.D. in Technical Cybernetics (1998-2001) from Tomas Bata University's Faculty of Technology Ing. (Master's equivalent) in Automation and Control Technology (1993-1998) from Brno University of Technology Secondary education at Forest District High School, Zlín (1989-1993) His research centers on computer architecture and operating systems with specialized expertise in MEMS-based inertial navigation systems and Matlab/Simulink network communication frameworks, complemented by dynamic website development as a professional sideline. Internationally, he conducted academic exchanges at Lappeenranta University of Technology (Finland, 2006), University of Strathclyde (Scotland, 2005), and Politecnico di Milano (Italy, 2002) through Erasmus and specialized programs. University governance roles include Chairman of the TBU Academic Council, membership on the Rector's Board and Internal Evaluation Council, plus representation on the TBU Scientific Council and Council of Higher Education Institutions Presidency. His teaching consultation hours were documented as Thursdays 9:00-11:00 during the 2021/2022 winter semester.

• Computer Graphics
• Virtual Reality
• 3D Visualization
• +۳ مورد دیگر

Pavel Pokorný serves as an Assistant Professor at Tomas Bata University in Zlín, specifically within the Faculty of Applied Informatics, Department of Computer and Communication Systems. He has held this position since 2010, following his previous role as Assistant Professor at the university's Institute of Applied Informatics from 2003-2009. Education: 1998-2003: Ph.D. in Automation and Control Engineering, TBU (Tomas Bata University), Faculty of Technology 1993-1998: Automation and Control Technology, BUT (Brno University of Technology), Faculty of Technology in Zlín 1998: Professional internship in Bonn, Germany Pavel Pokorný's research focuses predominantly on computer graphics and visualization technologies. His work spans multiple application domains including historical reconstruction, educational tools, and industrial applications. He demonstrates extensive expertise with major game engines such as Unreal Engine and Unity, as well as 3D modeling software like Blender. His research output reveals a consistent pattern of applying visualization techniques to solve practical problems across diverse fields from urban planning to biotechnology. The integration of virtual reality for educational purposes appears to be a recurring theme throughout his publication history. His scholarly contributions appear primarily in conference proceedings and book chapters, with notable publication venues including Advances in Intelligent Systems and Computing and Annals of DAAAM. His research demonstrates strong interdisciplinary connections, collaborating with experts in fields ranging from materials science to history. Pokorný maintains an active research profile with consistent publication output, particularly focusing on 3D visualization applications in historical contexts and educational settings. His work reflects both technical expertise in graphics programming and a creative approach to applying these technologies to real-world problems.

• 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