Research Areas
and Laboratories
Faculty of Informatics
Masaryk University
MUNI
FI
MUNI
FI
Research Areas
and Laboratories
Faculty of Informatics
Masaryk University
2
Tradition and Prestige
Masaryk University is the second largest university in the Czech Republic. Its
Faculty of Informatics (FI) was established in 1994 as the first independent
Computer Science faculty in the country. The faculty’s high level of scholarship
has earned it an excellent research rating in various applied and theoretical
areas of Computer Science and information technology.
Research Laboratories
The faculty is home to a diverse group of research laboratories and centres
where students at all levels participate in research under the guidance of
skilled academics. Since 2018, moreover, the faculty hosts a prestigious grant
from the European Research Council. Students acquire hands­‑on experience
with leading­‑edge technologies and make contact with the latest findings from
around the world. They have a natural opportunity to participate in research
projects—even undergraduates at the faculty have published original research
results in international journals.
Study Comfort
A substantial advantage is the faculty’s paperless, hassle­‑free study planning.
The Information System of Masaryk University, developed and maintained by
the Faculty of Informatics, streamlines every aspect of student coursework,
from course selection to electronic and e­‑learning study materials, to exam
sign­‑ups and grades. Our Information System has received numerous national
and international awards and is used outside the university as well.
Flexible Study
The credit system at MU offers great freedom in selecting subjects and
managing studies. Unlike students at some other informatics faculties, FI
students may elect to take courses from other faculties at Masaryk University
to complement their essential IT skills—with foreign language abilities,
for example, or soft skills. FI students may also spend part of their study
programme abroad.
International Recognition of Coursework
Courses taken at the Faculty of Informatics are recognized across Europe.
A Diploma Supplement, provided to every successful student free of charge,
guarantees recognition of your diploma abroad. The ETCS Label then permits
you to receive credit for the courses you take at FI at any university in the EU.
3
Real Collaboration with Industry
The Faculty of Informatics maintains industrial partnerships with more than 30
companies, giving students the chance to gain real­­‑life practice while they study.
Companies offer students specialized seminars, internships, projects and support
for diploma theses. Since 2014, the CERIT Science and Technology Park has been
part of the faculty, supported by both experienced and emerging companies often
founded by our students and graduates.
Excellent Employment on the Labour Market
Surveys show that 98% of our graduates have no difficulty finding a job in their
field of study. Many start their IT careers while they are still in school. Compared
to graduates of other faculties, FI graduates have the highest average starting
salaries.
Stimulating Student Life
Brno is a lively university city—during the academic year, as much as 20%
of the population consists of students. Masaryk University and the Faculty
of Informatics operate a number of student and interest associations.
4
Map of FI MU Research Directions
Adaptive Learning Research Group
(Adaptive Learning)
Laboratory of Dialogue Systems
(LSD)
Laboratory of Formal Methods, Logic and Algorithms
(Formela)
Laboratory of Service Systems
(SeSLab)
Human Computer Interaction Laboratory
(HCILAB)
Laboratory of Software Architectures
and Information Systems (Lasaris)
Design and Architecture of Digital Systems Laboratory
(EmLab)
Laboratory of Quantum Information Processing and
Cryptography (QICZ)
Laboratory for Parallel and Distributed Systems
(Paradise)
Systems Biology Laboratory
(Sybila)
Laboratory of Advanced Networking Technologies
(Sitola)
Laboratory of Electronic and Multimedia Applications
(LEMMA)
Knowledge Discovery Group
(KD group)
Natural Language Processing Centre
(NLP)
Interdisciplinary Research Team on Internet and Society
(IRTIS)
Laboratory of Data Intensive Systems and Applications
(DISA)
Studio of Graphic Design and Multimedia
(AGD+M)
Centre for Biomedical Image Analysis
(CBIA)
Centre for Research on Cryptography and Security
(CRoCS)
Visualization Laboratory
(VisIt Lab)
Laboratory of Discrete Methods and Algorithms
(DIMEA)
Cybersecurity Laboratory
(KYPO)
HardwareComputer
systems
organization
Artificial
intelligence
Computing in
life and medical
sciences
5
Applied
computing
Security and
Privacy
Mathematics of
computing
Theory of
computation
NetworksInformation
systems
Human­‑centered
Computing and
HCI
Software and its
Engineering
6
Map of FI MU Research Directions
Artificial intelligence
Anomaly detection, Relational learning
Popelínský (KD group), Nováček
Computer vision
Kozubek, Pavel Matula, Petr Matula, Svoboda, Ulman (CBIA)
Control methods, Robotic planning
Černá (Paradise)
Distributed artificial intelligence
Brázdil, Kučera, Řehák (Formela)
Knowledge representation and reasoning
Popelínský (KD group) Horák, Pala (NLP),
Sojka (LEMMA/NLP), Nováček
Machine learning approaches
Horák, Pala (NLP), Popelínský (KD group), Brázdil (Formela),
Sojka (LEMMA/MIR/NLP), Plhák, Šmahel (IRTIS), Nováček
Multi-agent systems, Intelligent agents, Mobile agents
Brázdil, Kučera, Novotný, Řehák (Formela), Ge (SeSLab)
Kopeček, Plhák (LSD)
Natural language processing
Horák, Pala, Rychlý (NLP), Popelínský (KD group)
Sojka (LEMMA/NLP)
Planning and scheduling, Constraint programming
Rudová (Sitola), Černá (Paradise)
Planning under uncertainty
Brázdil, Novotný (Formela)
Search methodologies, metaheuristics
Rudová (Sitola)
Computer systems organization
Architectures
Bühnová, Ošlejšek, Pitner (Lasaris), Dohnal, Zezula
(DISA)
Dependable and fault-tolerant systems and networks
Matěj, Přenosil (EmLab), Bühnová (Lasaris)
Grid computing, Cloud computing
Matyska (Sitola)
Real-time systems, Embedded and cyber-physical systems
Matěj, Přenosil (EmLab), Pitner (Lasaris), Ge (SeSLab)
Sensor networks
Matyáš, Švenda (CRoCS), Pitner (Lasaris), Ge (SeSLab)
Computing in life and medical sciences
Bioinfomatics
Lexa
Biomedical AI applications
Nováček
Biomedical imaging
Kozubek, Maška, Pavel Matula, Petr Matula, Svoboda,
Ulman (CBIA)
Computational proteomics
Byška, Kozlíková (VisIt Lab)
Systems biology
Brim, Šafránek (SYBILA)
Hardware
Design and architecture of digital systems
Matěj, Přenosil (EmLab)
Energy distribution, Smart grid
Bühnová, Pitner, Rossi (Lasaris)
Modelling of hardware structures
Matěj (EmLab)
Safety of hardware
Matěj, Přenosil (EmLab), Pitner (Lasaris), Ge (SeSLab)
Human-centered computing and HCI
Collaborative and social computing
Ge, Walletzký (SeSLab), Šmahel (IRTIS)
HCI design and evaluation methods
Pelánek (Adaptive Learning), Chmelík, Kriglstein (HCILAB)
Impact of technology usage on individuals and society
Šmahel (IRTIS)
Interaction devices
Chmelík (HCILAB), Přenosil (EmLab)
Ubiquitous and mobile computing
Matyáš, Švenda (CRoCS), Ge (SeSLab)
User models
Pelánek (Adaptive Learning)
Virtual and mixed/augmented reality
Chmelík, Kriglstein (HCILAB), Kozlíková (VisIt Lab)
Visualization
Byška, Furmanová, Kozlíková (VisIt Lab), Ošlejšek (Lasaris)
Information systems
Data management systems
Dohnal, Zezula (DISA), Ge (SeSLab)
Data mining
Popelínský (KD group), Pelánek (Adaptive Learning)
Bühnová, Rossi (Lasaris)
Digital libraries and archives
Sojka (LEMMA/MIR)
Enterprise information systems
Walletzký (SeSLab), Pitner (Lasaris)
Information retrieval
Dohnal, Zezula (DISA), Horák, Pala (NLP), Sojka (LEMMA/MIR)
Information systems applications
Dohnal, Zezula (DISA), Sojka (LEMMA/MIR)
Web data description languages
Horák, Pala, Rychlý (NLP)
Web searching and information discovery, Web mining
Horák, Pala, Rychlý (NLP), Zezula (DISA)
Sojka (LEMMA/NLP/MIR)
Mathematics of computing
Discrete mathematics, Graph theory
Obdržálek (Formela), Hliněný, Kráľ (DIMEA)
Mathematical optimization, Integer programming
Rudová (Sitola)
7
Networks
Network monitoring
Pitner (Lasaris), Čeleda (KYPO)
Network performance evaluation
Matyska (Sitola)
Programmable networks
Matyska (Sitola)
Security and privacy
Cryptography
Matyáš, Sýs, Švenda (CRoCS),
Bouda, Gruska, Reitzner (QICZ)
Human and societal aspects of security and privacy
Matyáš (CRoCS)
Intrusion/anomaly detection and malware mitigation
Čeleda (KYPO)
Network security
Čeleda (KYPO)
Quantum communication and cryptography
Bouda, Gruska, Reitzner (QICZ)
Security in hardware
Matyáš, Švenda (CRoCS), Matěj, Přenosil (EmLab)
Security services
Matyáš, Švenda (CRoCS), Pitner (Lasaris), Ge (SeSLab)
Software and application security
Matyáš, Švenda (CRoCS)
Systems security
Matyáš, Švenda (CRoCS), Bühnová, Ošlejšek, Pitner (Lasaris)
Usable security
Šmahel (IRTIS)
Software and its engineering
Formal methods – Model checking
Barnat, Brim (Paradise), Strejček (Formela)
Requirements analysis
Rossi (Lasaris)
Software architectures
Bühnová (Lasaris)
Software development methods
Bühnová, Ošlejšek, Pitner, Rossi (Lasaris)
Software system structures
Dohnal, Zezula (DISA)
Software verification and validation
Barnat, Brim (Paradise), Novotný, Strejček (Formela)
Theory of computation
Algorithmic game theory
Brázdil, Kučera, Řehák (Formela)
Computational complexity, classes and reductions
Obdržálek (Formela), Hliněný, Kráľ (DIMEA)
Cryptography, Information theory
Bouda (QICZ), Sýs (CRoCS)
Design and analysis of algorithms
Obdržálek, Řehák (Formela), Dohnal, Zezula (DISA)
Rudová (Sitola), Hliněný, Kráľ (DIMEA), Barnat, Černá (Paradise)
Formal languages and automata theory
Blumensath, Křetínský, Řehák, Strejček (Formela)
Higher order logic, Automated reasoning
Horák (NLP)
Logic and verification, Modal and temporal logics
Kučera, Novotný, Řehák, Strejček (Formela)
Logic, Finite model theory
Blumensath, Kučera, Obdržálek (Formela)
Hliněný (DIMEA)
Machine learning theory
Popelínský (KD group), Brázdil (Formela)
Program analysis and verification
Křetínský, Novotný, Strejček (Formela)
Barnat, Brim, Černá, Ročkai (Paradise)
Quantum computation theory
Bouda, Gruska, Reitzner (QICZ)
Randomness, geometry and discrete structures
Bouda (QICZ), Brázdil, Kučera, Novotný, Řehák (Formela)
Hliněný, Kráľ (DIMEA), Sýs (CRoCS)
Applied computing
Arts and humanities – Fine arts, Media arts
Lukášová (AGD+M)
Arts and humanities – Language translation
Horák, Pala (NLP)
Document management and text processing
Horák, Pala (NLP)
Sojka (LEMMA/MIR)
Education – Computer-assisted instruction
Pelánek (Adaptive Learning)
Čeleda, Vykopal (KYPO)
Education – Interactive learning environments
Pelánek (Adaptive Learning)
Čeleda, Vykopal (KYPO)
Ošlejšek (Lasaris)
Electronic commerce
Walletzký (SeSLab)
Enterprise architectures, Enterprise modeling
Pitner (Lasaris)
Ge (SeSLab)
Operations research – Consumer products, Marketing
Walletzký (SeSLab)
Operations research – Decision analysis
Walletzký (SeSLab)
Operations research – Industry and manufacturing
Rudová (Sitola)
Operations research – Transportation
Rudová (Sitola)
Physics
Matěj, Přenosil
Social and professional topics
Gruska, Zlatuška
8
Content
Formal Methods
Laboratory for Parallel and Distributed Systems (Paradise) 9
Laboratory of Formal Methods, Logic, and Algorithms (Formela) 10
Systems Biology Laboratory (Sybila) 11
Laboratory of Discrete Methods and Algorithms (Dimea) 12
Artificial Intelligence
Knowledge Discovery Group (KD group) 13
Adaptive Learning Research Group (Adaptive Learning) 14
Natural Language Processing Centre (NLP) 15
Interdisciplinary Research Team on Internet and Society (IRTIS) 16
Computer Graphics and Image Processing
Visualization Laboratory (VisIt Lab) 17
Centre for Biomedical Image Analysis (CBIA) 18
Human Computer Interaction Laboratory (HCILAB) 19
Studio of Graphic Design and Multimedia (AGD+M) 20
Security and Embedded Systems
Centre for Research on Cryptography and Security (CRoCS) 21
Laboratory of Quantum Information Processing and Cryptography (QICZ) 22
Design and Architecture of Digital Systems Laboratory (EmLab) 23
Cybersecurity Laboratory (KYPO) 24
Large Scale Distributed Systems and Networks
Laboratory of Advanced Networking Technologies (Sitola) 25
Data Management
Laboratory of Data Intensive Systems and Applications (DISA) 26
Laboratory of Electronic and Multimedia Applications (LEMMA) 27
Enterprise Systems and Services
Laboratory of Software Architectures and Information Systems (Lasaris) 28
Laboratory of Service Systems (SeSLab) 29
CERIT Science Park 30
Association of Industrial Partners 31
The ERC Consolidator Grant LADIST 32
9
Laboratory for Parallel
and Distributed Systems
Contact: prof. RNDr. Jiří Barnat, Ph.D.
Website: paradise.fi.muni.cz
The Laboratory for Parallel and Distributed Systems (ParaDiSe) targets
intensified basic and applied research into concurrent, parallel, and distributed
systems. The mainspring of research at ParaDiSe is the application of theories
that underlie, or should in future underlie, the specification, modelling, analysis,
and verification of these systems. The current focus is on techniques and tools
for automated verification of large concurrent systems.
10
Laboratory of Formal Methods,
Logic, and Algorithms
Contact: prof. RNDr. Antonín Kučera, Ph.D.
Website: formela.fi.muni.cz
The 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.
11
Systems Biology Laboratory
Contact: prof. RNDr. Luboš Brim, CSc.
Website: sybila.fi.muni.cz
The Systems Biology Laboratory (Sybila) offers a challenging, multi­‑disciplinary
working environment for students who aspire to be at the forefront of modern
computational biology. The long­‑term research goal is to develop and apply
computational science and technology to enhance our understanding of
the molecular mechanisms underlying the behaviour of living systems and
to develop scalable methods and tools for the modelling and computerized
analysis of large and complex biological systems. Recent advances in systems
biology, scientific computing, and the mathematical modelling of biological
processes have started to fundamentally impact the way we approach drug
discovery, improve diagnosis and therapy, prevent various diseases, and produce
emissions­‑neutral biofuels.
12
Laboratory of Discrete Methods
and Algorithms
Contact: prof. RNDr. Petr Hliněný, Ph.D. and prof. RNDr. Daniel Kráľ, Ph.D., DSc.
Website: fi.muni.cz/research/laboratories/dimea.html
The Laboratory of Discrete Methods and Algorithms (DIMEA) focuses on problems
from discrete mathematics underpinning Computer Science and their applications
to the design of discrete algorithms. Our research areas include in particular
algorithmic, geometric, structural and topological graph theory, and analytic
representations of large discrete structures. The members of the laboratory have
an intensive network of collaborators (e.g., they coauthored papers with more
than 150 researchers), and their research is supported by various national and
international grant agencies. The laboratory welcomes all students of the bachelor,
master and doctoral levels to participate in its research seminars and to join its
research activities.
13
Knowledge Discovery Group
Contact: doc. RNDr. Lubomír Popelínský, Ph.D.
Website: fi.muni.cz/kd
The main research areas of the Knowledge Discovery Group are anomaly
detection and graph mining. The group also focuses on pre­‑processing methods
for data mining, including deep learning and frequent patterns as new features,
as well as on text mining—particularly text summarization and the detection
of anomalous documents. Collaboration with industry and the public sector is
emphasized. Members of the group teach most courses on machine learning
and data mining, including natural language learning and text mining.
14
Adaptive Learning Research Group
Contact: doc. Mgr. Radek Pelánek, Ph.D.
Website: fi.muni.cz/adaptivelearning
Adaptive learning systems are computer applications that adapt to the
knowledge of individual students. Our research group deals with both
the practical development of such systems and with the theoretical research
that supports it. Example systems include Slepé Mapy (geography),
Anatom (anatomy), Umíme Česky and Umíme Anglicky (language learning).
Adaptive behaviour is based on mathematical models of knowledge
and uses machine learning techniques. Participation in the activities
of the research group may take many different forms, ranging from theoretical
research into the properties of statistical models to the development of
educational applications using JavaScript. The results of this work often
have an immediate impact on thousands of users.
15
Natural Language Processing Centre
Contact: doc. Mgr. Pavel Rychlý, Ph.D.
Website: nlp.fi.muni.cz
The Natural Language Processing Centre at the Faculty of Informatics, Masaryk
University, conducts theoretical and applied research in the following areas:
analysis of written texts at all levels—morphological, syntactic, and semantic;
corpus management and lexical databases; semantic representation of natural
language expressions; semantic web, ontologies, knowledge representation and
reasoning; applications of machine learning techniques to text processing; dialog
representation and management; synthesis and recognition of speech (spoken
Czech). In addition to its research objectives, the NLP Centre targets training for
undergraduate and postgraduate students in the interdisciplinary specialization
of “language engineering“.
16
Interdisciplinary Research Team
on Internet and Society
Contact: prof. PhDr. David Šmahel, Ph.D.
Website: irtis.muni.cz
Interdisciplinary Research Team on Internet and Society (IRTIS) is a research
team operating at the Faculty of Informatics and the Faculty of Social
Studies at Masaryk University. IRTIS studies information and communication
technologies and their impact on individuals and society. We examine this
area comprehensively from the informatics, psychological, sociological,
communicational, and media studies perspectives.
At the Faculty of Informatics, we focus, for example, on user security,
Human-Computer Interaction (HCI), and machine learning applied to the
processing of natural language and human behavior in the information
technology environment. As part of the FUTURE project, we examine how
mobile phones affect young people. We strive to design innovative methods and
procedures using machine learning to answer specific questions about human
behavior when using information technology.
17
Visualization Laboratory
Contact: doc. RNDr. Barbora Kozlíková, Ph.D.
Website: visitlab.fi.muni.cz
Visit Lab focuses on fundamental and applied research in visualization, visual
analysis, and computer graphics and their relation to virtual environments and
graphic design. Currently, our research interests and projects are covering the
fields of molecular visualization and security visualization, but we are open to
collaborating on projects in other application areas as well. Our lab has strong
connections with the visualization groups at TU Wien, University of Bergen, Ulm
University, and University of Tübingen. Students of our lab will get insight into
visualization, visual analysis and computer graphics on undergraduate, graduate,
and, Ph.D. levels.
18
Centre for Biomedical Image Analysis
Contact: prof. RNDr. Michal Kozubek, Ph.D.
Website: cbia.fi.muni.cz
The Centre for Biomedical Image Analysis (CBIA) is a well­‑established
interdisciplinary research unit whose primary focus is on developing
and benchmarking algorithms for the analysis and synthesis of cell microscopy
image data. A secondary focus is the analysis of biomedical image data
produced by other imaging instruments and the use of computers in optimizing
and automating the image acquisition process. CBIA brings together experts not
only from Computer Science, mathematics, and physics, but also from biology
and medicine. Our ultimate goal is to describe the spatiotemporal behaviour
of cells and how it changes in carcinogenesis, knowledge which is crucial
for diagnostics and therapy. To this end, our main immediate goals centre on
developing reliable, ideally automatic cell segmentati on, quantification, and
tracking algorithms.
19
Human Computer Interaction Laboratory
Contact: Mgr. Jiří Chmelík, Ph.D.
Website: hci.fi.muni.cz
The Human Computer Interaction Laboratory (HCI Lab) has been established
to carry out broad research of human­‑machine interfaces, especially on its
recently most popular aspects, including brain­‑computer interfaces and
mixed reality environments. The research issues of this broad area divide
conceptually into three areas including: algorithm, applications and evaluation.
Algorithmically, team members develop a suite of powerful mathematical
routines and data structures for immersive mixed reality environments, fast
visualization, serious games, real­‑time simulations, motion tracking, sensor
data filtering, and machine vision. The principles and the integrated tasks are
tested in four core applications: digital cultural heritage, health monitoring,
smart office environment and molecular visualization. On the evaluation side,
user and perception studies are performed based on traditional techniques
as well as psychological and physiological information such as biofeedback
and neurofeedback.
20
Studio of Graphic Design
and Multimedia
Contact: MgA. Helena Lukášová, ArtD.
Website: agdm.fi.muni.cz
Studio of Graphic Design and Multimedia (AGD+M) offers the education
in the field of graphic design and related disciplins. The main objective of
the AGD+M are digital media which became more significant than printed media
nowadays.
Digital and printed media follow the same rules in creating graphic design,
but overall digital technologies are opening a lot of new possibilities
in communication with a consumer. Thus students assignments can be
interpreted in new connotations and various approaches can be applied.
Students knowledge of informatics and programming is a great advantage.
AGD+M promotes the interdisciplinarity through such a themes as programming
of generative design, creation an applications for interactive media, animation,
video, 3D digital modeling and 3D printing, e-publishing, webdesign,font
development, computer games, interactive information design.
21
Centre for Research on Cryptography
and Security
Contact: prof. RNDr. Vašek Matyáš, M.Sc., Ph.D.
Website: crocs.fi.muni.cz
CRoCS enables students to gain practical experience with current security and
crypto solutions and technologies. The main areas of interest are user and data
authentication based on various methodologies—cryptography, biometrics, the
secure use of smartcards and crypto methods using smartcards, crypto methods
in wireless sensor networks, and uses of crypto in creating and operating secure
systems. Our goal is to create an environment that lets students gain hands­‑on
experience with the available technical solutions and allows them to explore
various types of attacks in lab courses or in their theses. CRoCS laboratory
is open to students working within FI industrial partnership framework or on
projects carried out in cooperation with governmental entities.
22
Laboratory of Quantum Information
Processing and Cryptography
Contact: prof. RNDr. Jozef Gruska, DrSc.
Website: qicz.fi.muni.cz
The Laboratory of Quantum Information Processing and Cryptography
is a workshop focusing on information aspects of quantum information
processing, especially on quantum cryptography, theory of information, quantum
communication and algorithms. The laboratory is also involved in theoretical
aspects of cryptography, particularly in solving problems regarding security
by means of theory of information.
23
Design and Architecture of Digital Systems
Laboratory
Contact: prof. Ing. Václav Přenosil, CSc.
Website: embedded.fi.muni.cz
Our laboratory is outfitted with the software, hardware, and equipment used to
develop digital systems. This provides students with the opportunity to learn
how electronic systems are designed, including the use of development tools
and resources. They gain knowledge specific to working with programmable
structures. Laboratory activities provide a balanced grounding in theory, along
with practical skills used in the design, implementation, analysis, testing,
and operation of embedded systems. Integral to the student’s education
is experience working on a project with a small team. The project explores
experimental solutions and prototypes for practical problems of interest that are
prompted by the faculty’s research or from collaborative activities with potential
future employers.
24
Cybersecurity Laboratory
Contact: doc. Ing. Pavel Čeleda, Ph.D.
Website: cybersec.fi.muni.cz
We are an expert research laboratory that specializes in a wide range of
cybersecurity topics. For students at all levels (Bachelor, Master, and, Ph.D.),
we offer the opportunity to explore the field of cybersecurity and gain valuable
theoretical knowledge and practical skills. We connect theory with practice
and educate future security professionals. Our research interest spans
multiple areas: network security, network monitoring, training environments,
and cybersecurity education. In these areas, we have broad experience from
successful research projects and collaborations with academia, industry, and
government partners. The research activities are performed in KYPO cyber
range, a state of the art scientific computing facility for cybersecurity research
and education.
25
Laboratory of Advanced
Networking Technologies
Contact: prof. RNDr. Luděk Matyska, CSc.
Website: sitola.fi.muni.cz
The Laboratory of Advanced Networking Technologies is a research laboratory
specialising in advanced network protocols and applications requiring high‑speed
networks. The laboratory is the result of a joint effort by the Faculty
of Informatics, the Institute of Computer Science of Masaryk University, and
CESNET, a non­‑profit organisation responsible for the national research and
education network and its applications. The laboratory is equipped with state
of the art visualisation facilities, including a 3D projection system, several 2D
projection systems, and audio equipment, all interconnected by a network‑accessible
programmable switcher. These facilities have enabled the lab to
become the first Czech Access Grid point.
26
Laboratory of Data Intensive Systems
and Applications
Contact: prof. Ing. Pavel Zezula, CSc.
Website: disa.fi.muni.cz
In the Laboratory of Data Intensive Systems and Applications (DISA), we study
and develop modern techniques for effective and efficient data management.
We focus mainly on the problems of big data indexing and similarity­‑based
searching. We develop techniques for the traditional client­‑server approach,
as well as for modern distributed and cloud­‑computing infrastructures. The results
are presented in several publicly available prototype applications that demonstrate
various multimedia processing approaches. Laboratory members participate in
national and international research projects, and we also cooperate with several
industrial partners. The laboratory is open to students at any level, and we are always
looking for new members willing to participate in a wide range of research and
development tasks.
27
Laboratory of Electronic
and Multimedia Applications
Contact: doc. RNDr. Petr Sojka, Ph.D.
Website: lemma.fi.muni.cz, mir.fi.muni.cz, gait.fi.muni.cz
The Laboratory of Electronic and Multimedia Applications (LEMMA) develops
applications and technologies for processing big collections of data (mostly
documents for digital libraries), including the production and post­‑production of
films. These new technologies are intended mainly (but not exclusively) for free‑to­‑use
software. LEMMA is a playground where research is currently being done
in three areas:
•	 Information Retrieval: the representation, similarity and indexing of STEM
documents for digital libraries and plagiarism detection
•	 Machine learning methods for high­‑dimensional data—gait recognition
•	 Multimedia production
Research in the laboratory is highly multidisciplinary and application­‑driven.
The laboratory cooperates with NLP Centre (text processing), DISA (gait and
multimedia indexing), Sitola (video), AGD+M and HCI (animations, graphics,
interaction design) laboratories.
28
Laboratory of Software Architectures
and Information Systems
Contact: doc. RNDr. Tomáš Pitner, Ph.D.
Website: lasaris.fi.muni.cz
The Laboratory of Software Architectures and Information Systems (Lasaris)
primarily investigates software architectures and the security and reliability
aspects of computer systems and critical infrastructures, namely smart grids.
The lab explores the design and development of information systems
and services, system implementation, and relevant software technologies,
including enterprise and mobile platforms.
The lab is very active in teaching and supervision of graduation theses.
Students at all levels (Bachelor, Master, and, Ph.D.) are involved in most
projects.
Lasaris collaborates with CERIT Science Park, Czech Cybercrime Center
of Excellence, and numerous industrial partners, as well as with renowned
universities and research institutions abroad like the University of Vienna.
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Laboratory of Service Systems
Contact: Ing. Leonard Walletzký, Ph.D.
Website: seslab.fi.muni.cz
Nowadays, innovative solutions such as Smart City, Industry 4.0, Service
Complexity, Internet of Things, Big Data Analytics or Digital Service are
becoming more prominent in everyday life. The Laboratory of Service System
(SesLab) conducts its research on new approaches, models, platforms related
to these concepts. We also explore practical usage of modern technologies
to be able to recommend the best practices in service design. We are an
enthusiastic and growing team who attempts to tackle the research challenges
from multidisciplinary domains named above. Our practical implementations
include the design of information system applications with the specific focus on
Enterprise Resource Planning systems provided as a service. In our research, we
often focus on the communication to the users and customers of such systems.
By using advanced managerial, marketing and operational research methods we
aim to bring an optimized utility and value.
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CERIT Science Park
Creativity / Security / Partnership
CERIT Science Park is a scientific and technical park and a business incubator
of Masaryk University. The park is run by Faculty of Informatics and it is also
located on its premises.
The interconnection of the university and corporate environments at a single
location brings into being a unique ecosystem, enabling:
•	 Dynamic collaboration between the university and companies in key areas
(mobile and data network security, the security of energy facilities and other
critical infrastructure, institutional and public protection against cyber attacks,
and other areas).
•	 The rapid transfer of research and development outcomes from the university
to practice.
•	 An environment to be systematically built and supported that encourages
creativity, innovation and unique IT.
•	 Daily contact by students with the business environment while they study,
giving them an advantage in the labour market and expanding the exchange
of knowledge between the university and the corporate world.
CERIT Science Park was launched in September 2014. The total space in the
park available for use by the corporate sector is 2 200 m2
, with the capacity
for up to 20 companies.
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Association of Industrial Partners
Contact: doc. Ing. RNDr. Barbora Bühnová, Ph.D.
Website: fi.muni.cz/for­‑partners
The Faculty of Informatics, Masaryk University (FI MU) established the
Association of Industrial Partners of FI MU (AIP) in 2007 to strengthen the
cooperation between the university and the industry. Major AIP activities include:
•	 Day with Industrial Partners: A regular all­‑day event popular with students as
well as companies that facilitates direct contact between FI MU students and
AIP companies. The companies present their activities and opportunities for
student involvement, individual discussions then happen in booths.
•	 Competition for talented students: A competition that targets students at
the beginning of their bachelor studies. The finalists are offered positions as
student researchers in FI MU labs with topics co­‑defined by industrial partners,
and with scholarship support.
•	 Cooperation on the supervision of final theses: More than 100 theses are
yearly successfully defended in cooperation with industrial partners, which is
an excellent indicator of the extent of the collaboration.
•	 Participation of industry experts in teaching—from individual lectures and
seminars to entire courses.
•	 Ph.D. positions sponsored by companies: Co­‑supervision of doctoral
students, supported with expertise as well as funding from both the university
and the industrial partner.
•	 Various other opportunities for students, including innovative and research
projects, competitions, internships, job offers, student workshops, and
conferences.
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The ERC Consolidator Grant LADIST
Contact: prof. RNDr. Daniel Kráľ, Ph.D., DSc.
Website: fi.muni.cz/research/ladist
The European Research Council (ERC) was set in 2007 to fund excellent
scientists and their most creative ideas. The award of a grant from ERC is among
the most prestigious funding a researcher can receive. The ERC Consolidator
grant LADIST held by Dan Kráľ at the Faculty of Informatics aims at introducing
new mathematical methods to analyze and approximate large graphs,
mathematical objects representing large networks in Computer Science. A need
for such methods comes from Computer Science applications, where the sizes
of input structures are often enormous. The research supported by the grant has
resulted in progress on many difficult problems in mathematics and Computer
Science. For example, the recent joint work with Andrzej Grzesik (Kraków) and
László Miklós Lovász (MIT) led to new substantial insights into the structure of
large graphs appearing in extremal graph theory.
Contacts
Faculty of Informatics MU,
Botanická 68a, 602 00 Brno,
Czech Republic
Tel.: +420 549 491 810
E-mail: info@fi.muni.cz
Website: fi.muni.cz
Social websites
Facebook: @FI.MUNI.cz
Twitter: @FI_MUNI
Instagram: @fi_muni
Office for Studies
E-mail: studijni@fi.muni.cz
Tel.: +420 549 491 818
Office for Research
E-mail: research@fi.muni.cz
Tel.: +420 549 491 806
Study Catalogue website: fi.muni.cz/katalog
Texts by Radek Ošlejšek and heads of research
groups
Editors: Petr Sojka, Tomáš Kučera,
Monika Slezáková, Petra Kalábová, and Petr Kubíček
Photographs by Marek Augustin, Petr Žemla,
Martin Kopáček, Martina Morávková, Jan Tesařík
Graphic design by Marcel Otruba
5th
edition, 2022
Printed by Justprint.cz s.r.o., 28. října 341/184,
709 00 Ostrava-Mariánské Hory, CZ
© 2018, 2020, 2021, 2022 Masarykova univerzita