Research groups
Explore the first comprehensive overview of research groups working on AI in our region.
The map you see below is part of the nationwide ceska.ai database, which we actively helped build – here, we show research groups from South Moravia. It serves as a living tool for connecting the community and as a database for collaboration between academia, research, and business.
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Accelerated Network Technologies Research Group (ANT)
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fit.vut.czDuring more than fifteen years of existence, the ANT research team gained substantial expertise in the field of digital design and verification of hardware architectures, network performance monitoring and network security. Its primary research goal is to design new algorithms and architectures for cheaper and faster network devices and systems. The group deals with the design and optimization of architectures, primarily for FPGA technology. Network traffic analysis and detection of network threats use machine learning techniques and artificial intelligence. Team members participated in the design and development of many unique devices and systems, which were successfully commercialized or used by security agencies to fight against cybercrime.
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Adaptive Learning
More info Adaptive Learning
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fi.muni.czOur main research themes focus on student and domain modeling, where we estimate student knowledge and domain structure from student answers; instructional policies, which involve algorithms for selecting appropriate questions for a particular student; and the design and evaluation of learning environments, covering general methodological issues and specific case studies. We also research introductory programming, problem-solving, and task difficulty. The overarching goal of this work is to make educational systems personalized and adaptive to the needs of individual students, an interesting area at the intersection of basic research and wide-ranging applications.
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AI and Law Lab
More info AI and Law Lab
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cyber.law.muni.czThe Institute of Law and Technology was established in 2010 as the first professional workplace in the Czech Republic focused on research and teaching in the areas of advanced technology law. During its existence, it has built an international reputation in the field of information and communication technology law and has become a European institution. In addition to scientific and teaching activities, it cooperates with Czech and European judicial authorities, security forces, state authorities, top law firms and consulting companies.
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AI@BUT
More info AI@BUT
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utko.fekt.vut.czResearch activities are focused primarily on cyber security, high-speed communication networks, 5G networks, IoT, Industry 4.0, Smart Grids, Smart Home and signal processing, especially speech, early diagnosis of diseases, and security of critical infrastructure. Our staff, doctoral students and students are part of top teams composed of academics and practitioners. In cooperation with our partners, we solve dozens of national and multinational projects, especially in applied research.
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Artificial Intelligence Systems and Applications Research Group (AISA)
More info Artificial Intelligence Systems and Applications Research Group (AISA)
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utko.fekt.vut.czArtificial intelligence systems and applications laboratory (AISA) focuses on research and application of modern methods of machine learning, deep neural networks and optimization for solving complex problems in the field of telecommunications, computer vision and data processing. We actively cooperate with public sector and industrial partners. Historically, we have established cooperation with, for example, the Criminalistics Institute of the Police of the Czech Republic, Konica Minolta, Honeywell, CEPS, TOKOZ, Tescan and other entities. The laboratory is dedicated not only to theoretical research, but also to practical applications in areas such as data analysis and design of intelligent systems for real applications.
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Automated Analysis and Verification (VeriFit)
More info Automated Analysis and Verification (VeriFit)
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fit.vut.czVeriFIT is a group including researchers and students from FIT BUT interested in research on methods of automated analysis and verification of systems. The interests of the group include formal analysis and verification (static analysis, abstract interpretation, model checking), dynamic analysis (i.e., analysis at run-time), intelligent testing as well as methods of self-healing of systems. The group is involved in basic research in the described areas as well as in development and evaluation of prototype verification tools.
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Biomedical Imaging and Image Analysis (BioImage_BUT)
More info Biomedical Imaging and Image Analysis (BioImage_BUT)
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ubmi.fekt.vut.czOur main research areas include the development of complex algorithms for processing and analyzing tomographic data, the creation of artificial intelligence tools for advanced image analysis, the design of methodologies and implementation of support systems for medical diagnostics, and the automation of routine processes in image data analysis.
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Biomedical Signal Processing Group (BioSig_BUT)
More info Biomedical Signal Processing Group (BioSig_BUT)
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ubmi.fekt.vut.czWe create technologies that save lives. Become an expert in medical devices and bioinformatics. You will quickly learn to process medical signals and images, explore the principles of cell biology, and explore data by using artificial intelligence.
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Brain Diseases Analysis Laboratory (BDALab)
More info Brain Diseases Analysis Laboratory (BDALab)
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bdalab.utko.fekt.vut.czThe Brain Diseases Analysis Laboratory (BDALab) is an international multidisciplinary research group focusing on the development of digital biomarkers and digital endpoints applied in the field of medicine and psychology. Using the state-of-the-art techniques of biomedical signal processing, machine learning, wearable technologies and statistical analysis we provide neurologists, psychologists and other experts with tools for diagnosis, assessment and monitoring of a large spectrum of disorders.
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BUT Speech@FIT
More info BUT Speech@FIT
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speech.fit.vut.czBUT Speech@FIT deals with artificial intelligence and machine learning applied to speech data mining: speaker and language identification, speech recognition, and keyword spotting. The group was a key contributor to wide-spread use of neural architectures in speech and language processing (Tomas Mikolov, the founder of RNN language models and word2vec, is our PhD graduate). In recent years, the scope was enlarged towards integration with natural language processing (NLP), automated dialog systems, and voice deep-fake detection. In recent years, the scope was enlarged towards integration with natural language processing (NLP), automated dialog systems, and voice deep-fake detection. The group extensively publishes and provides most of its research code as open-source.
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Centre for Biomedical Image Analysis (CBIA)
More info Centre for Biomedical Image Analysis (CBIA)
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cbia.fi.muni.czThe Centre for Biomedical Image Analysis (CBIA) is a well-established, interdisciplinary unit that attends to research, education as well as service activities related to automated image analysis applied mostly in biology and medicine. It primarily focuses on the development and benchmarking of algorithms for the analysis and synthesis of biomedical image data as well as on the employment of computers in the optimization and automation of the biomedical image acquisition process.
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Cognitive & Neural Engineering Research group (CANE)
More info Cognitive & Neural Engineering Research group (CANE)
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fit.vut.czIn CANE, we work with various brain modalities such as EEG, MEG, FNIR and fMRI. Our team members have strong expertise in techniques such as functional and effective connectivity measures, time-frequency analysis, source localization methods and microstate analysis. For classification and optimization, we exploit algorithms from traditional machine learning as well as deep learning and evolutionary computation. Our focus is on both the clinical as well as non-clinical applications. Our interest in clinical applications include preventive mental health assessment for stress, anxiety and depression. For non-clinical applications, we target cognitive skills assessment, brain computer interfaces and development of hardware for monitoring functional brain activity.
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Computational Photography Group (CPhoto@FIT)
More info Computational Photography Group (CPhoto@FIT)
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cphoto.fit.vutbr.czOur research activities focus on HDR image and video processing, image and video quality assessment, computational aesthetics, image registration, and human visual perception. We offer several courses on computational photography and advanced image processing.
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Cybernetics and Robotics
More info Cybernetics and Robotics
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ceitec.euOur research focuses on several key areas, including smart sensors and signal processing, with an emphasis on sensor design using new materials; advanced control technologies and electrical actuator control; mobile robotic systems, particularly for reconnaissance and telepresence; and embedded systems and communication technologies. Across these areas, our main objectives are the development of novel sensors, control, and communication technologies; the creation of an advanced reconnaissance mobile robotic system equipped with novel chemical, biological, and nuclear sensors; the application of new materials and technologies in sensors, actuators, and robotic systems; and the development of control systems and instrumentation for the research and production of new materials.
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Discovery Informatics Group
More info Discovery Informatics Group
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discovery.fi.muni.czWe explore how data science and novel AI models can alleviate problems in domains like healthcare, life sciences, and news analytics. Our focus includes the extraction of named entities and relations from unstructured texts, multimodal learning on text, graph, and tabular data, Large Language Models (LLMs), biomedical data integration, healthcare recommender systems, and clinical decision-support systems.
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Evolvable Hardware (EHW@FIT)
More info Evolvable Hardware (EHW@FIT)
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ehw.fit.vutbr.czResearch in the field of evolvable hardware can be split into the two related areas of evolutionary hardware design and adaptive hardware. While evolutionary hardware design is the use of evolutionary algorithms for creating innovative (and sometimes patentable) physical designs, the goal of adaptive hardware is to endow physical systems with some adaptive characteristics in order to allow them to operate successfully in a changing environment or under presence of faults. The EHW@FIT group does research in both areas. We also pioneered a design method in which an evolutionary algorithm is used to approximate digital circuits to obtain a good trade-off between the quality output and power consumption. Recently, we have been working on hardware accelerators of approximate neural networks.
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Interdisciplinary Research Team on Internet and Society (IRTIS)
More info Interdisciplinary Research Team on Internet and Society (IRTIS)
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irtis.muni.czOur members carry out research related to the social, psychological, sociological and political implications of the use of information and communication technologies. We co-organize the annual international conference Cyberspace and publish Cyberpsychology: Journal of Psychosocial Research on Cyberspace.
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IT Security Research Group (Security@FIT)
More info IT Security Research Group (Security@FIT)
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fit.vut.czOur group is currently focused on addressing several key information security issues. Our research areas include deepfakes and their security implications, blockchain technologies, wireless security (particularly for IoT), threat intelligence and malware detection, usable security, secure hardware devices, financial protocols, anonymity systems, and applied cryptography.
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Knowledge Technology Research Group
More info Knowledge Technology Research Group
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fit.vut.czThe Knowledge Technology Research Group is the youngest part of the human-computer interface research at the Faculty of Information Technology. Despite that, it has a long track record of research and development results in a wide range of areas related to knowledge extraction, representation, and management, as well as advanced machine learning and big data processing. The team has participated in many international and national projects funded by various grant agencies or relevant industries.
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Laboratory of Data Intensive Systems and Applications (DISA)
More info Laboratory of Data Intensive Systems and Applications (DISA)
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disa.fi.muni.czDISA focuses on intelligent processing and search in large-scale, complex, and unstructured data such as images, video, biological structures, and sensor streams. Our research bridges machine learning, data mining, and systems engineering to develop scalable methods for extracting and indexing semantic representations, e.g., high-dimensional embeddings—that enable fast, adaptive search in dynamic datasets.
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Laboratory of Formal Methods, Logic and Algorithms (Formela)
More info Laboratory of Formal Methods, Logic and Algorithms (Formela)
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fi.muni.czThe Laboratory of Formal Methods, Logic and Algorithms (Formela) carries out scientific research in the areas of algorithm design and of applications of logic, game theory and discrete mathematics in computer science. Our researchers are members of the national Center of Excellence – Institute for Theoretical Computer Science, and they are collaborating with some leading experts and institutes in theoretical CS abroad. The laboratory warmly welcomes all students of bachelor, master and doctoral degrees who are interested in participating in our research seminars for students, and in joining our research projects and international collaboration.
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Learning in Verification Group (LiVe Lab)
More info Learning in Verification Group (LiVe Lab)
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live-lab.fi.muni.czThe Learning in Verification group (LiVe Lab) focuses on the interactions of machine learning and verification. Our research includes Explainable AI, Verification of Neural Networks, Stochastic Games and Control, Probabilistic Model Checking, Temporal Logics (mainly LTL, PCTL), and Automata Theory. Our research is applicable in the Robotics, Biomedical, and Automotive domains. The team is distributed between the Masaryk University Brno, Czech Republic, and the Technical University of Munich, Germany.
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Loschmidt Laboratories
More info Loschmidt Laboratories
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loschmidt.chemi.muni.czWe conduct interdisciplinary research in the field of protein engineering. We wish to understand the structure-function relationships of proteins and improve their functionalities for biotechnologies. We study the mechanisms of Alzheimer’s disease and develop novel drugs for acute stroke. Our goal is to be recognized as one of the leading protein engineering groups in Europe. We will consistently strive to publish our findings in reputable scientific journals, develop software tools and lab-on-chips, and transfer results to practice.
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Machine Vision Group
More info Machine Vision Group
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fme.vutbr.czMachine vision group, the research team from the Institute of Automation and Informatics, has long been involved in the development and implementation of robust computer vision systems. They are also engaged in the development of methods and instrumentation for sustainable machine vision. Both research directions are thus focused on digitalization and Industry 4.0. The primary focus includes developing methods for handling imbalanced datasets, enhancing data augmentation techniques, and designing effective data collection methodologies. With the support of the machine vision lab, these proposed techniques are rigorously tested on real-world industrial manufacturing problems and beyond.
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Natural Language Processing Centre
More info Natural Language Processing Centre
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nlp.fi.muni.czOur work mainly includes: large language models (LLMs), their training and application with textual and multimodal data (e.g., image, sound, and text), the creation and management of text corpora, i.e., storing and retrieving large textual data, knowledge representation, e.g., creating knowledge bases from texts, representation of meaning in natural language expressions for determining text characteristics (such as topics, sentiment, stylistic features, and authorship detection), lexical databases, i.e., software for creating dictionaries, including multimodal data, and the development of dialogue systems or programming of social robots.
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Natural Language Processing Group
More info Natural Language Processing Group
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nlp.pef.mendelu.czWe are a working group dedicated to natural language processing. We focus on semantic processing of electronic text data produced in natural languages with the goal of uncovering knowledge hidden in the data. In particular, we use machine learning methods. We develop web and mobile applications that use text mining algorithms to solve problems for everyday users and customers. Our solutions are also used by commercial companies.
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Planning and Scheduling
More info Planning and Scheduling
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fi.muni.czWe are working on various problems related to scheduling and routing, such as vehicle routing, warehouse planning, or educational timetabling. Our work is inspired by real-life problems coming from practice, such as course timetabling in the UniTime system, vehicle routing with Wereldo company, or warehouse planning with Notino company. We solve these problems using metaheuristics, constraint programming, or mixed integer programming.
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Research Group RationAI
More info Research Group RationAI
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rationai.fi.muni.czRationAI research group concentrates on developing cutting-edge AI methods in biomedicine. We aim to create an appropriate environment that will maximally support cooperation between domain experts and computer science specialists, focusing on explaining the behavior of these AI methods (explainable AI, XAI). As an indispensable part of such an effort, we consider traceable development, training, and validation of the AI methods using automated provenance information generation and robust visualization systems. Furthermore, for specific domains, we also develop a trusted environment for the validation of AI methods using evaluation metrics developed in tight cooperation with the domain experts.
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Robotic Research Group Robo@FIT
More info Robotic Research Group Robo@FIT
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fit.vut.czRobotic research group at FIT focuses on the development of advanced methods of autonomous intelligent systems and mobile platforms, processing and fusion of sensory data, creating dynamic 3D models of the environment, intelligent decisions and mission planning, knowledge management, multi-agent systems and advanced human-robot interaction systems. Robotic research group at FIT focuses is currently engaged in research into human-robot interaction, especially in shared-space collaborative environments in the programming, parametrization, or revision of production procedures using augmented reality.
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Sustainable Water and Resource Management Lab (SWARM)
More info Sustainable Water and Resource Management Lab (SWARM)
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One of the research directions of the SWARM group is the application of artificial intelligence in the process industry, particularly in the energy sector. We combine domain knowledge with data analysis and AI, which allows us to effectively address challenges in this domain. We have experience with early fault detection, high-level control, and the prediction of energy consumption and prices on energy markets. We conduct applied research in close collaboration with companies, based on their proposed topics. At the same time, we also pursue our own research, where we address the challenges of simultaneous optimization of energy system design and its control.
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