Once a week during the academic year, an invited speaker (from abroad, as well as from the Czech Republic) talks about his or her scientific work. Colloquium takes
place at the Faculty of Informatics and is open to the scientific community. Lecture dates can be found in the programme.
Tuesday 14.00 - 15.00, D2, FI MU, Botanická 68a
Colloquia programme with abstracts for the Autumn 2021 semester
21. 9. 2021
Dr.-Ing. Lydia Kraus, ÚVT MU
Insights Gained from Evaluating MUNI's Cybercompass Course with
Computer Science Undergraduates
As cyber threats endanger everyone from basic users to computing
professionals, spreading cybersecurity awareness becomes more and more
critical. Therefore, a dedicated team at MUNI designed an “everyday”
cybersecurity course that is freely available online for students,
employees, and the general public. The course, named Cybercompass, aims
to raise awareness about essential cybersecurity topics. It offers
simple actionable steps that anyone can use to implement defensive
countermeasures. In spring this year, we evaluated how students perceive
the course and whether it impacts their security behavior. We
administered the course to 138 undergraduates in computer science. They
completed the course as a part of their graded homework and filled out a
questionnaire after each lesson. Statistical analysis of the
questionnaire responses revealed that the students valued the course
highly. They reported new learning, changes in their perspectives, and
transfer to practice. At the same time, they suggested suitable
improvements to the course. Based on the results, we have distilled
specific insights that will help MUNI's course designers to improve the
course and that will help security educators outside MUNI to design
Short biography: Dr.-Ing. Lydia Kraus is a usable security researcher and obtained her
Doctor of Engineering from Technical University of Berlin in 2017 with a
thesis on the user experience with security and privacy mechanisms on
smartphones. Since September 2020, she is working as a senior researcher
at CSIRT-MU, Institute of Computer Science, Masaryk University. From
2018-2020, she was a postdoctoral fellow at MUNI's Faculty of
Informatics where she was a member of the Centre for Research on
Cryptography and Security (CRoCS). From 2013 to 2017, she was employed
at Technical University of Berlin as a researcher at the Quality and
Usability Lab which was also part of Telekom Innovation Labs, the joint
research and innovation unit of Technical University of Berlin and
Deutsche Telekom AG. During this time, she was a fellow of Software
Campus, a professional development program for future IT executives
(2015-2017). From 2010 to 2012, she also had the pleasure to gain a lot
of interesting impressions while living and working abroad as a
researcher at the Mihajlo Pupin Institute in Belgrade, Serbia, in the
field of IT-supported emergency management. She received her Diploma
degree (Dipl.-Ing., M.Sc. equivalent) in Electrical engineering and
Information Technology with a major in Communications engineering from
Technical University of Munich (TUM) in 2009.
5. 10. 2021
doc. RNDr. Martin Tancer, Ph.D., MFF UK
Computational complexity in combinatorial topology
Interactions between the theory of computation and topology date back at least to 1950's when Novikov proved that simple conectedness (of a triangulated topological spaces) is algorithmically undecidable. Nowadays, there are a plethora of interactions that mutually enrich both fields.
The aim of the talk is to survey and explain some such recent interactions---naturally those that I have been working on. This will include the algorithmic embeddability question, various decompositions of simplicial complexes, or untangling (un)knots.
12. 10. 2021
Ing. Václav Oujezský, Ph.D., FI MU
Methods of verification of the passive optical network
The presentation discusses and presents the possibilities of analysis of management traffic in gigabit passive optical networks, particularly the recommendation ITU-T G.984.3 and the detection of the content of frames deviating from the recommendation. The frames are captured by FPGA (Field Programmable Gate Array) programmable network card and processed with a software parser. Further techniques are discussed. The proposed method can bring a way how to test if vendors of network devices follow the recommendation and if the content of the frames can be treated as secure and trustworthy.
19. 10. 2021
prof. Sergio Cabello, Faculty of Mathematics and Physics, University of Ljubljana, Ljubljana, Slovenia
Interactions between geometry, graphs and algorithms
I will describe some of the interactions between graphs and geometry, many of them with an algorithmic slant. In particular, I will discuss the computation of maximum matching in graphs defined geometrically and problems in geometric optimization. Emphasis will be on
breadth rather than depth and I will mention several open problems.
26. 10. 2021
Mgr. Jiří Chmelík, Ph.D., FI MU
Augmented and Virtual reality in Research and Education
The talk presents current trends in the usage of augmented and virtual reality in research and education. Several lines of research will be discussed along with former and current projects at FI MU. In the second part, a new platform for education in a virtual environment, currently in development at MUNI, will be presented. The vision and current status will be discussed, as well as the interdisciplinarity of the project.
9. 11. 2021
Ing. Leonard Walletzký, Ph.D., FI MU
The development of Smart Cities in the Czech Republic
The main topic of the presentation will be the description of the development of Smart
City methodology used in the Czech Republic, the contribution of the Faculty of
informatics and team of Laboratory of Service systems. Also, there will be presented the
main challenges and findings in the domain of Smart City, including the continuing
development of the conceptual model of Smart City, and possible overlaps to the research
of other labs of the faculty.
16. 11. 2021
prof. Ing. Václav Přenosil, CSc., FI MU
Results of the Laboratory of Embedded Systems
The Laboratory of Design and Architecture of Digital Systems (EmLab) deals with teaching and research and development of applications called embedded systems. Research and development are focused primarily on the following areas:
The presentation will focus on getting acquainted with the results of some research and development projects solved within EmLab.
23. 11. 2021
Dr. Matthew Kwan, Institute of Science and Technology Austria, Vienna, Austria
Friendly bisections of random graphs
Resolving a conjecture of Füredi, we prove that almost every n-vertex graph admits a partition of its vertex set into two parts of equal size in which almost all vertices have more neighbours on their own side than across. Our proof involves some new techniques for studying processes driven by degree information in random graphs, which may be of general interest.
- fast Digital Pulse-Shape Analyze for Spectrometry of Neutrons and Gamma Rays
- design, implementation, analysis, testing, and operation of embedded systems
- electronic of Unmanned Vehicles
- security of information and communication systems
This is joint work with Asaf Ferber, Bhargav Narayanan, Ashwin Sah and Mehtaab Sawhney.
7. 12. 2021
doc. RNDr. Tomáš Brázdil, Ph.D., FI MU
RationAI: Rational and conservative artificial intelligence (not only) in digital pathology
I will present the new research group RationAI concerned with explainable artificial intelligence (AI) techniques in biomedicine. I will concentrate on a single case study, analyzing whole slide images (WSI) from digital pathology. Our primary concern is to find out how good cutting-edge methods are and to make them useful for pathologists. Our aims will be illustrated using our deep learning-based system for cancer detection in WSI of prostate cancer. Subsequently, I will explain how explainability can be achieved using (slightly modified) standard methods for explainable AI and how pathologists interpret our explanations. Finally, I will present further plans of the RaionAI group in pathology and other areas of AI in biomedicine.