Find Academic Supervisors

• Computer Graphics
• Multimedia
• Computer Vision
• +3 more

Pavel Smrž is an Associate Professor at the Department of Computer Graphics and Multimedia within the Faculty of Information Technology at Brno University of Technology. Based in office L223, he can be contacted via email smrz@fit.vut.cz or phone +420 54114 1282. His research spans visual computing disciplines, with core expertise in: Computer Graphics and Rendering Image and Video Processing Computer Vision Systems Virtual and Augmented Reality Interactive Multimedia Applications Human-Computer Interaction Design Professional identifiers include ResearcherID A-4763-2016, ORCID 0000-0002-5638-1362, and Scopus Author ID 55884759300.

• Computer Vision
• Image Processing
• Machine Learning
• +5 more

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.

• Augmented Reality
• Robotics
• Computer Vision
• +3 more

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 DernerView profile

Researcher

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

• Image Restoration
• Blind Deconvolution
• Superresolution
• +5 more

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.

• Computer Graphics
• Multimedia
• Image Processing
• +1 more

František Grézl serves as an Assistant Professor within the Department of Computer Graphics and Multimedia at the Faculty of Information Technology, Brno University of Technology. His academic role involves teaching and research in visual computing, with office location L207 and contact details including email (grezl@fit.vut.cz) and phone (+420 54114 1280) confirming active institutional engagement. His research centers on computer graphics and multimedia, encompassing the technical synthesis, analysis, and manipulation of visual data. Specialized interests extend to image processing and computer vision, critical for applications in virtual reality, medical diagnostics, and AI-driven visual systems. These domains represent core pillars of modern digital content creation and interpretation. Dr. Grézl maintains verified academic profiles through identifiers: Researcher ID (KRR-1787-2024), ORCID (0000-0002-9887-3197), and Scopus Author ID (18041950000), enabling precise attribution of scholarly contributions across international databases.

Iveta HnetynkovaView profile

Associate Professor

• Numerical Mathematics
• Linear Algebra
• Inverse Problems
• +5 more

Iveta Hnetynkova is an Associate Professor at the Department of Numerical Mathematics, Faculty of Mathematics and Physics, Charles University in Prague. She specializes in numerical linear algebra, inverse problems, and regularization methods, with applications in image processing and scientific computing. Education: Doctor of Natural Sciences (RNDr.) from Charles University (2003) Ph.D. in Scientific Computations from Charles University (2006) Habilitation thesis on error-contaminated linear approximation (2019) Research Interests: Krylov subspace methods Total Least Squares (TLS) formulations Noise revealing in discrete inverse problems Tensor generalizations and structured matrices Applications in image processing and jewelry defect analysis Scientific Awards: Visegrad Group Young Researcher Award (2014) J. Jirsa Prize for textbook excellence (2013) I. Babuska Prize (2nd place) (2007) SVOČ Prize in mathematics (2003)

• Computer Graphics
• Multimedia
• Image Processing
• +1 more

Martin Čadík serves as an Associate Professor at the Department of Computer Graphics and Multimedia within the Faculty of Information Technology at Brno University of Technology. His institutional affiliation includes office L231 and contact details: +420 54114 1272 and cadik@fit.vut.cz. His research expertise centers on core computing disciplines including: Computer Graphics (rendering, visualization) Interactive Multimedia Systems Digital Image Processing techniques Computer Vision applications Academic identifiers maintain his scholarly profile: Researcher ID: O-4824-2014 ORCID iD: 0000-0001-7058-9912 Scopus Author ID: 6507934276 No information regarding student supervision, research funding, or laboratory affiliations appears in the source documentation.

• Natural Language Processing
• Artificial Intelligence
• Information Extraction
• +4 more

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.

Milan StrakaView profile

Professor

• Machine Learning
• Artificial Neural Networks
• Deep Learning
• +12 more

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.

• Computer Vision
• Image Processing
• Medical Imaging
• +3 more

Assoc. Prof. Elena Šikudová is an Associate Professor at the Faculty of Mathematics and Physics (Charles University) within the Department of Software and Computer Science Education . She has been affiliated with the Centre for Graphics and Geometric Computing (CGG) since 2017, where she leads the Computer Vision and Image Processing branch. Her teaching focuses on Machine Learning in Computer Vision , Computer Vision , and MATLAB Practicals . University: Charles University School: Faculty of Mathematics and Physics Department: Department of Software and Computer Science Education Academic Rank: Associate Professor Email: sikudova@cgg.mff.cuni.cz Research Interests: Elena Šikudová specializes in Computer Vision and Image Processing , with a focus on Medical Imaging , AI for Content Creation , 3D Shape Classification , and Saliency Detection . Her work bridges theoretical advancements and practical applications in domains such as retinal blood vessel segmentation, cloud rendering for image-based lighting, and pedestrian trajectory analysis. Publication Trends: Her publications (2003–2025) emphasize Deep Learning , 3D Reconstruction , and Visual Perception . Key contributions include Generative Adversarial Networks (GANs) for realistic cloud imagery, Self-Attention Mechanisms in medical imaging, and Tone Mapping Operators for HDR images. She also explores interdisciplinary applications in art analysis and urban visualization. Teaching & Collaborations: Elena Šikudová supervises Computer Graphics and Vision Seminars and collaborates on projects like MUVIS (Participatory Urban Planning) and SPINKLAR-3D (Augmented Reality). Her research integrates tools like MATLAB and GPU acceleration for efficient image processing.

Václav HlaváčView profile

Professor

• Computer Vision
• 3D Scene Reconstruction
• Pattern Recognition
• +8 more

Václav Hlaváč is a Professor of Engineering Cybernetics at the Czech Institute of Informatics, Robotics and Cybernetics (CIIRC), part of the Czech Technical University in Prague (CTU). He serves as Head of the Department of Robotics and Machine Perception, Deputy Director of CIIRC, and holds roles in university governance. His work bridges academic leadership with cutting-edge research. PhD in Control Engineering (CTU, 1987) Professor at CTU (1998–present) Founder of the Center for Machine Perception (1996) Research Interests Hlaváč specializes in: Computer Vision – 3D scene reconstruction, video sequence analysis, and image processing Pattern Recognition – Statistical and structural methods, ordinal classification Autonomous Robotics – Manipulation of soft materials and industrial applications His recent work focuses on robotic cable segmentation , digital twins for manufacturing, and event camera technology . Publications span journals like Information Sciences and IEEE Robotics and Automation Letters , with over 18,000 Google Scholar citations. Scientific Awards Research fellowship, Institute of Control Problems (Moscow, 1986) Research fellowship, University of Sussex (1989) Visiting professorships at TU Vienna (1993, 1995) Teaching & Publications He authored the textbook Image Processing, Analysis, and Machine Vision (4th ed, 2015) and maintains teaching resources in English and Czech . His Center for Machine Perception has been active since 1996.

Jiří ŽáraView profile

Professor

• Virtual Reality
• Computer Graphics
• Computational Geometry
• +3 more

Jiří Žára is a Professor at the Czech Technical University in Prague, currently serving as Head of the Department of Computer Graphics and Interaction within the Faculty of Electrical Engineering. With a career spanning over four decades at the institution, he has held roles from PhD student (1982-1986) through Assistant Professor (1986-1997), Associate Professor (1997-2007), to Full Professor status since 2007. Department Head: 2008-present Computer Graphics Group Leader: 2002-2008 Supervisor: Computer Graphics Laboratory His research focuses on Virtual Reality , 3D Modeling , and Computational Geometry , with particular emphasis on VR educational applications, historical city visualization, and geometric algorithms. He has contributed significantly to VRML standards and interactive visualization techniques. Key research trends evident in his 96+ publications include real-time deformation techniques for 3D models, adaptive caching systems in rendering, and automated colorization algorithms for historical cartoons. His work demonstrates strong interdisciplinary connections between computer graphics , cultural heritage preservation , and educational technology . As academic supervisor, he has guided numerous students including: Ondřej Pluhař (Interactive Tokamak Golem Model, 2011) Daniel Šrám (Virtual Gallery in St. Peter & Paul Church, 2010) Jan Zimandl (Castle Park VRML Tour, 2009) He leads multiple EU-funded projects including: ARiSE (Augmented Reality in School Environments) VHCE (Virtual Heart of Central Europe for cultural heritage) V3C (Visual Computing Competence Center) RCI (Research Center for Informatics)

• Computational Linguistics
• Natural Language Processing
• Czech Language Processing
• +4 more

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.