On this page, you can find several examples of our work. Do not hesitate to contact us about more information. We looking forward to work with you!
Mobile, web, IoT
We provide full stack developement from the UX design, development of mobile and web apps as well as integration of IoT devices etc.
Datamining, NLP or CV
We are able to deal with datamining techniques, spatial analysis, processing of (un)structured texts or image processing.
Our research focuses also on identifying the impacts of climate change, related migration and resilience strategies.
Thinking about a Ph.D. thesis?
Here are some examples of Ph.D. theses that are currently supervised by our researchers.Contact us
Obtaining information from normative texts through natural language-based interfaces
What if the chatbot can find appropriate information automatically in formal documents like study regulations or insurance policies? Without training for specific questions.
Processing of spatial terms in unstructured text
Asking chatbot for some information regarding Washington and he is constantly returning information about Washington, D.C.? Annoying, isn’t it? What if the chatbot can understand the spatial context of your queries.
Use of natural language analysis for improved communication tools for business intelligence
Business Intelligence apps are the utmost important tools for decision making of any manager. However, they can be quite complex for untrained people. What if you can just ask for data using natural language?
Improving city or village is not easy. It requires the participation of many people: from citizens to city councilors and mayors. Let’s start with the university.
Each smart city solution usually represents a significant investment, and the evaluation of efficiency often takes years. That is why we focused on smaller goals. To start with, let’s change our universities. Each university is almost a small town with its inhabitants: teachers, researchers and students. Our project focuses on finding technical solutions that can make life easier for different communities of people in a university environment. The research is based on three pillars. The first pillar is the server backend for data synchronization and data analysis. The second pillar is the sensory network. The sensor network is used to collect information, from a temperature to the number of people in a particular room. The third pillar is a mobile application My MENDELU that provides information to users. Our goal is to provide users with the right information at the right time and in the right place. Currently, we provide modules with schedule & tasks, canteen information (with filters based on alergens), indoor map with searching and FAQ module. We have over 2000 active users of our application MENDELU.
However, we are not focused solely on a mobile application. We are also developing solutions such as smart information panels that are able to change content with regard to the users in their vicinity, chatbot that is able to help the users with different study problems, indoor localization based on bluetooth beacons and other interesting solutions.
Moreover, we developed location-based mobile applications even for Brno-North city district or Envipartner company.
See our projects on Contracted R&D page.
Searching in 3D space
Laser scanning technology creates a completely new research area. So far, the researchers were developing algorithms for the identification of the objects in 2D images. Now, we must deal with 3D scans.
Nature, villages, cities – all of them are constantly changing, and we need to monitor these changes efficiently. Cities need to monitor the status of traffic signs, lighting, traffic signs, and so on. Companies need to monitor the state of tangible and intangible assets. It costs considerable time and money. We are therefore looking for ways to effectively monitor and manage the environment and property.
In the field of Remote Sensing, we deal with point cloud processing. We try to process the point clouds and find the objects they contain in an automated manner. So far we have focused on finding road markings and traffic signs. Now we are focusing on the detection of complex objects. This research aims to map out very quickly and precisely large areas and save time and resources.
Migration, development and enviromental changes
One of the biggest challeng for “Western societies” in the last decade is the massive migration. This challenge has many dimensions.
Countries are making efforts to reduce or manage migration to their own countries, or to integrate immigrants into their civilization structures, cities and economies. We have been dealing with this problem for hundreds of years and the responses vary according to individual situations. On the other hand, some “solutions” such as “Fortress Europe concept” have been the subject of negotiations repeatedly for several decades.
In order to make a meaningful attempt to give rules to immigration, the processes firstly must be understood. And to know the real causes of migration, which is not easy. In many cases, there are a number of interrelated factors dealing with development, remittances, and other economic and social factors. Therefore, research on this topic requires a multidisciplinary approach.
Our team has decided to focus on research into the causes of migration in the countries of origin and their analysis using a variety of tools that will allow us to better understand through visualization in the geographical spatial regime.
Quite special and relatively scarce factors are environmental changes. Although natural resources such as drinking water or soil may seem inexhaustible, in many cases the reality is quite the opposite. Long-term environmental changes or natural disasters can fundamentally affect the lives of the people in the area and thus take them natural resources, dwelling or subsistence away. Exhaustion of agricultural areas, floods, hurricanes and other natural or man-made changes along with economic causes lead people to migrate to cities. People in the affected areas are forced to leave their homes and seek livelihood elsewhere.
But is it always so? But why do people not move from areas often affected by floods, droughts, hurricanes or other impacts of environmental change, natural disasters or climatic extremes? Or why does only part of the affected population out-migrate while the others stay? Did the environmental factors affect the current population movement to Europe from Syria and other Middle Eastern and Sub-Saharan African countries since 2015?
And the dynamics of these processes, the behavior of the inhabitants of the affected areas, their perception of environmental changes, their degree of resilience, the decision to migrate or to stay belong to the main research topics of this research group.
Climate change, resilience and adaptation strategies
The impacts of climate change are here. How can we adapt?
The impacts of climate change, climatic extremes, and climate variability have become more and more known in the last decade. Increasing intensity and frequency of floods, droughts, extremely hot days in Europe or lack of precipitation, tropical storms and sea level rise in Asia, Africa and the Pacific and Indian Ocean is reflected in the growing number of media articles and reports.
We examine the perception, resilience and adaptation strategies of households (i) in rural areas and smaller municipalities in Central Europe that have been repeatedly affected by floods; (ii) between rural and coastal residents in South Asian countries, often affected by floods and hurricanes; (iii) inhabitants of small islands they are threaten by sea level rise.
To solve the above mentioned problems, their exact identification is necessary. Our research focuses primarily on identifying the impacts of climate change as people perceive these changes; as well as on interpretation of their resilience and adaptation strategies with the assistance of a variety of GIT tools and visualization in a geographic environment.
We are involved in solving the following projects in the field of environmental change.