جست‌وجوی استاد و پژوهشگر

• Speech Recognition
• Language Identification
• Speaker Recognition
• +۳ 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.

• 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.

• Computer Vision
• Image Processing
• Machine Learning
• +۵ مورد دیگر

Prof. Ing. Adam Herout, Ph.D., is a faculty member at the Faculty of Information Technology (FIT) of Brno University of Technology (BUT). He serves as Deputy Head of the Department of Computer Graphics and Multimedia (DCGM), focusing on computer vision, image processing, and 3D reconstruction. His research spans traffic surveillance, augmented reality, and real-time processing, with applications in medical imaging and autonomous systems. Academic Rank: Professor Department: Computer Graphics and Multimedia Email: herout@fit.vut.cz Herout's research interests lie in computer vision, machine learning, and their interdisciplinary applications. He has pioneered techniques for camera calibration using vehicle landmarks, density-based traffic analysis, and medical imaging solutions like cranial implant design. His work combines theoretical advancements with practical implementations in real-time systems. Key trends in his 15 most recent articles (2019–2023) include deep learning for traffic analysis, medical image segmentation, and optimization of computer vision algorithms. Sub-fields span from automated checkout systems to CNN-based AFM data correction, reflecting his interdisciplinary expertise. Scientific recognitions include the Commemorative Medal of FIT BUT (Bronze 2012, Silver 2019) and the Imagine Cup 2013. He leads the Computer Graphics Research Group at FIT and chairs disciplinary committees.

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

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

Martin Kouteckýمشاهده پروفایل

دانشیار

• Parameterized Complexity
• Integer Programming
• Combinatorial Optimization
• +۱ مورد دیگر

Martin Koutecký is an Associate Professor at the Institute of Informatics, Faculty of Mathematics and Physics, Charles University in Prague, Czech Republic. His research primarily focuses on parameterized complexity of integer programming, combinatorial optimization, and computational social choice. He completed his PhD under Petr Kolman at Charles University and conducted postdoctoral research at Technion (Haifa, Israel) under Asaf Levin and Shmuel Onn. Research Interests: Koutecký's work bridges theoretical computer science and optimization, with emphasis on: Designing efficient algorithms for integer programming under structural constraints Applying optimization techniques to computational social choice problems Developing parameterized approaches for combinatorial optimization Exploring geometric perspectives in election modeling and bribery problems Publication Focus: His recent articles (2020-2025) demonstrate consistent work in algorithm design for optimization problems, particularly in integer programming variants and computational social choice. Key themes include block-structured IP, parameterized complexity, election modeling, and convex optimization. Methodological innovations frequently involve polyhedral theory, approximation algorithms, and complexity analysis.

Petr Navrátilمشاهده پروفایل

استادیار

• Control Systems
• Adaptive Control
• Recursive Estimation
• +۳ مورد دیگر

Institute of Process Management, Faculty of Applied Informatics at Tomas Bata University in Zlín. Petr Navrátil, Ph.D., is an Assistant Professor whose work bridges theoretical and applied control systems research. He holds a Ph.D. from Tomas Bata University in Zlín (2007) and an M.Sc. from Brno University of Technology (2001). A three-month internship at the University of Applied Science Cologne (2003) enriched his expertise in process engineering and control systems. Petr's research spans adaptive control , recursive identification , Delta model , and MIMO systems . His publications (2003-2016) focus on real-time control of laboratory models, optosensor applications, and environmental factors in measurement accuracy. Collaborations with colleagues like Vladimir Bobál and Ján Ivanka highlight his team-based approach to solving complex control problems, including TITO and three-tank systems. His work with MATLAB/Simulink libraries for recursive algorithms and applications in commercial security (light/laser protection systems) underscores his commitment to practical, industry-relevant solutions. The Institute of Process Control at Tomas Bata University serves as his primary research environment, where he develops tools and frameworks for both educational and industrial applications.

• Augmented Reality
• Robotics
• Computer Vision
• +۳ مورد دیگر

Vítězslav Beran is an Associate Professor at the Department of Computer Graphics and Multimedia (DCGM) within Brno University of Technology . His research focuses on Augmented Reality , Robotics , and Computer Vision . Role: Vice-dean for Marketing and External Relations Contact: beranv@fit.vut.cz, vicedean-foreign@fit.vut.cz Research interests include: Augmented Reality Applications Human-robot Interaction Image and Video Processing 3D User Interfaces His recent publications (2019-2024) explore: End-User Robot Programming Reachability Solutions in Industrial AR Drone Control Systems 3D Interaction Techniques Projects span both academic research and practical applications in: Embedded Systems Computer Vision Algorithms Collaborative Workspace Design Patents include: 2015: Multifunctional Camera System 2012: Data Distribution Method Teaching activities: Image Processing Computer Graphics User Interface Programming Advanced Computer Vision

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 .

Martin Loeblمشاهده پروفایل

استاد

• Discrete Mathematics
• Graph Theory
• Combinatorial Optimization
• +۱۰ مورد دیگر

Professor Martin Loebl is a distinguished academic at the Department of Applied Mathematics, Faculty of Mathematics and Physics, Charles University in Prague. His extensive teaching portfolio includes Discrete and Continuous Optimization, Linear Programming, Nonlinear Optimization, Game Theory for intelligent networks, and Linear Algebra. His office is located in room S 325 on the 3rd floor in Lesser Town, Malostranské nám. 2/25, Prague 1. Loebl's research spans the breadth of discrete mathematics with particular emphasis on graph theory, combinatorial optimization, and applications to statistical physics. His work bridges theoretical mathematics with practical applications in network optimization, market equilibria, and critical distribution systems. He has made significant contributions to Kasteleyn theory, dimer models, Ising model applications, matroid theory, and matching theory. Analysis of his recent publications reveals a strong focus on the intersection of discrete mathematics with economic and social systems. His work increasingly addresses real-world challenges such as resource allocation during crises, market design, and fair division problems. The publications demonstrate sophisticated applications of graph theory and combinatorial optimization to game-theoretic models and distribution systems, with growing emphasis on practical implementations of theoretical frameworks. Scientific Awards: Prize of Rector of Charles University for the book 'Topics in Discrete Mathematics: Dedicated to Jarik Nešetřil on the Occasion of his 60th birthday' Professor Loebl coordinates the H2020-MSCA-RISE-2018 project 'Combinatorial Structures and Processes (CoSP)' and previously coordinated the Czech Ministry of Interior's 'Critical Distribution System (CRISDIS)' project motivated by the COVID-19 pandemic. His research has practical applications in winter road maintenance routing, market equilibria design, and critical goods distribution systems. He maintains an active research laboratory focused on discrete mathematics applications, with particular emphasis on translating theoretical results into practical algorithms for optimization problems in network design, resource allocation, and market mechanisms. His group has produced significant work on dimer models, Kasteleyn orientations, and their applications to statistical physics problems.

• integrated photonic structures
• modeling
• characterization
• +۷ مورد دیگر

Jiří Čtyroký is a Professor at the Czech Technical University in Prague, Faculty of Nuclear and Physical Engineering, and a Senior Researcher in the Fiber Lasers and Nonlinear Optics Department at the Institute of Physics and Technology. His expertise lies in the theory, modeling, and characterization of integrated photonic structures and components , with applications in optical sensors, Bragg gratings, and surface plasmon technology. Education: Professor in Applied Physics (2005) Associate Professor in Physical Electronics (1999) DrSc. in Electronics and Vacuum Technology (1990) CSc. in Applied Physics (1972) Ing. in Communication Technology (Microwaves) (1968) His research spans nonlinear optics, photonic crystal slabs, THz waveguides, and subwavelength grating metamaterials . Recent publications focus on silicon waveguide designs, graphene integration in photonic devices, and Bragg filter optimization. He has contributed to 3D Fourier propagation algorithms and leaky-mode resonant grating theory , with a patent for a multichannel surface plasmon optical sensor . Scientific recognitions include IEEE Life Senior Member and Fellow of the Institute of Physics (UK) . He serves on doctoral thesis committees at Charles University and Czech Technical University, and contributes to professional societies like the Photonics Society and OPTICS. His projects include modeling photonic metal nanostructures, optimizing tapered optical fibers for sensors, and advancing subwavelength grating waveguide simulations.

• Image Restoration
• Blind Deconvolution
• Superresolution
• +۵ مورد دیگر

Assoc. Prof. Filip Šroubek, Ph.D., DSc. is a Professor of Applied Mathematics at the Faculty of Nuclear Sciences and Physical Engineering, Czech Technical University , and an Associate Professor at the Faculty of Mathematics and Physics, Charles University . He serves as Deputy Head of the Department of Image Processing at the Czech Academy of Sciences. His career spans postdoctoral research at Instituto de Optica (CSIC, Madrid) and a Fulbright scholarship at University of California, Santa Cruz . Education: M.Sc. in Computer Science, Czech Technical University (1998) Ph.D. in Computer Science, Charles University (2003) D.Sc. (Habilitation), Czech Academy of Sciences (2014) Research Interests: Šroubek specializes in image restoration , blind deconvolution , and superresolution , with applications in biomedical imaging, forensic analysis, and mobile device optimization. His work on multi-object tracking and blur-invariant algorithms bridges theoretical and applied computer vision. Publication Trends: His recent articles focus on neural networks for image processing (2025), biomedical imaging (2024), and dynamic object tracking (2021-2023). Collaborations span neuroscience , materials science , and forensic engineering . Scientific Awards: Fulbright Visiting Scholarship (2010/2011) Honorable Mention at GCPR (2019) Outstanding Contribution Award (2013) Advising & Grants: Supervised projects include PIZZARO (forensic image analysis), 4D-STEM/PNBD (electron diffraction), and SONO (ultrasound technology). Grants emphasize interdisciplinary applications of image processing in medicine and engineering. Labs & Teams: Affiliated with the Department of Image Processing (UTIA, Czech Academy of Sciences) , he collaborates with teams in biomedical imaging, quantum dot characterization, and mobile technology optimization.

• Forest Management
• Climate Change Impacts
• Optimization
• +۴ مورد دیگر

Prof. Róbert Marušák is a faculty member at the Czech University of Life Sciences Prague (CZU), serving as Dean of the Faculty of Forestry and Wood Technology and Chairman of its Scientific Council. He leads the Forest Risk Research Department and contributes to academic governance via the Rector's Board. His research focuses on forest management optimization , climate change impacts (e.g., bark beetle outbreaks, fire risks), and decision support systems using GIS and remote sensing. Key interests include sustainable harvest scheduling, disturbance resilience, and ecosystem service valuation. Recent publications emphasize climate-forest interactions, fire modeling, pest prediction, and geospatial tools. Trends show strong integration of computational methods (fuzzy-AHP, Bayesian networks) with ecological fieldwork, advancing adaptive forest management in Central Europe. He coordinates projects like the Excellent Research EVA 4.0 and oversees labs specializing in forest inventory technologies (e.g., terrestrial LiDAR) and risk assessment frameworks.

• Psychology
• General Psychology
• Health Psychology
• +۳ مورد دیگر

Helena Klimusová serves as Assistant Professor at the Institute of Psychology within the Faculty of Arts at Masaryk University in Brno, Czech Republic, while concurrently holding the position of Admissions Coordinator at the university Rectorate. Her office is located in building C/C.528 at Arna Nováka 1, Brno, with direct contact via phone (549 49 4035) and email (klimusova@rect.muni.cz). She maintains active engagement in academic administration, teaching, and research across multiple institutional contexts. Her research program centers on General Psychology with specialized expertise in ethical research practices , adolescent mental health , and health psychology interventions . Key investigations examine depression measurement in youth, pain perception in elite sports (particularly ballet), and community-based approaches to childhood obesity. Her methodology integrates psychometric rigor with practical applications, frequently addressing measurement challenges in sensitive research domains including AI ethics and trauma studies. Analysis of her 145+ publications reveals consistent thematic evolution from foundational psychometric work (evident in her 2014 habilitation thesis on psychological measurement) toward contemporary ethical challenges in digital research and community health implementation. Recent outputs demonstrate interdisciplinary synthesis across developmental psychology, public health, and sport science, with increasing emphasis on methodological innovation for complex real-world problems like adolescent mental health prediction and ballet injury prevention. Dr. Klimusová supervises graduate theses on career competency development, procrastination dynamics, victimization impacts, and behavioral game theory applications. Her research portfolio includes significant Czech Science Foundation projects including 'Depression in childhood and adolescence' (2016-2018) and 'Health-promoting behaviors' (2013-2016), often collaborating with senior researchers like Assoc. Prof. Iva Burešová across institutions in the Czech Republic and Slovakia. Within Masaryk University's Institute of Psychology, she contributes to interdisciplinary teams developing community health programs and ethical research frameworks, maintaining active connections with clinical practitioners, public health officials, and international academic collaborators to translate psychological research into practical health interventions.