Datenintegration fĆ¼r KI-gestĆ¼tzte Fertigungs- und ERP-Analysen bei Schilderwerk Beutha
2939
Matthias Baumgart
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18
Team members
9
Innovation projects
10
Partnerships
12
Courses
125
Theses
People, skills and shared ideas
Our team
Prof. Dr.-Ing. Christian Roschke studied Applied Computer Science and subsequently specialised further in the Masterās programme in Data and Web Engineering. Even whilst still a student, he engaged intensively with embedded systems, software architectures and the interaction between hardware, software and distributed systems. A particular focus was on how complex technical systems can collect, process and efficiently make data available in networked environments. As part of his PhD research in the field of multimedia information retrieval, he combined concepts from distributed systems with artificial intelligence techniques to automatically index, structure and intelligently analyse large, heterogeneous multimedia datasets. His work centred in particular on scalable processing procedures, data-driven analytical methods and the integration of traditional information systems with modern machine learning techniques.
Since 2021, he has held the Chair of Digital Transformation and Applied Media Informatics at Mittweida University of Applied Sciences. His research and teaching lie at the interface between artificial intelligence, embedded and distributed systems, and humanāmachine interaction, with technological approaches consistently being translated into application-oriented systems and usage scenarios. A current focus is on the collection, networking and intelligent use of multimodal data, particularly in the context of mobility, where data from sensors, vehicles and digital infrastructures is analysed using modern AI techniques. The aim is to develop robust, practical solutions for data-driven decision support and automation.
Imparting knowledge, developing skills
Learning & Teaching
We combine scientific principles with the latest developments and practical application scenarios. Students should not only be able to use digital technologies, but also understand how they work, critically assess their potential and apply them independently to solve real-world problems. In doing so, specialist knowledge is always linked with methodological, social and communication skills.
The focus is on application-oriented and project-based teaching. Theoretical concepts from computer science, media informatics and digital transformation are tested and further developed through practical tasks. Students learn to analyse complex issues, select appropriate methods and design viable technical solutions. Interdisciplinary collaboration and exchange with partners from academia and industry create a direct link to professional and societal practice.
I view teaching as a collaborative and open learning process. Curiosity, creativity, independent thinking and the courage to experiment form the basis for discovering new solutions. My aim is to empower students to help shape the digital transformation in a technically sound, responsible and active manner.
ā Prof. Dr.-Ing. Christian Roschke
Advanced Mobile Application Development
This course covers the design and development of cross-platform mobile applications. It focuses on modern architectural patterns, device functionality, security, performance and production-ready deployment.
Applied Computer Science in Practice
Computer science methods are applied in practice using real-world tasks from research projects. Students develop a working prototype based on specific requirements and document the entire development process.
Digitisation of specific teaching content
Subject content is translated into digital teaching and learning resources in a pedagogically sound manner. Students select appropriate media and interactive formats, implement them technically and evaluate their effectiveness.
Introduction to Computer Science I
This course provides an introduction to the formal foundations and ways of thinking in computer science. It covers number systems, data representation, logic, algorithmic thinking and basic programming constructs, as well as the core skills required for project work.
Introduction to Computer Science II
Building on the fundamentals of computer science, data structures, algorithms and structured programming are explored in greater depth through project-based learning. Students learn to select appropriate solutions and evaluate their efficiency.
Subject-Specific and Methodological Competence II
This course teaches essential basic computer science skills. These include, amongst other things, the representation and encoding of data, as well as the formal description of situations using the tools of logic.
Interdisciplinary Knowledge Acquisition and Dissemination I
Students draw on knowledge from products developed across various disciplines and present this in a structured manner. Particular emphasis is placed on the clear visualisation and communication of complex concepts in a way that is tailored to the target audience.
The internationalisation of digital teaching materials
Digital teaching materials are adapted linguistically, culturally and technically for international audiences. The focus is on localisation, intercultural media design, accessibility and distribution via digital platforms.
Cryptographic protocols and security systems
This course covers cryptographic methods and their application in modern security systems. Students analyse protocols, assess potential attack vectors and select appropriate protection mechanisms to meet specific requirements.
Humanāmachine interaction
The course focuses on the user-centred design of interactive systems. Students develop prototype user interfaces and evaluate their usability using appropriate empirical methods.
Parallel and Distributed Computing
This course covers the fundamentals of parallel and distributed systems. Topics include parallelisation models, synchronisation, distributed communication, fault tolerance and the quantitative assessment of performance and scalability.
Project Module: Applied Computer Science
Working in two teams, the students undertake an extensive software project, from requirements analysis through to acceptance testing. The aim is to develop and attack a secure system in a competitive setting.
Brief profile
Using AI tools in teaching and learning settings and demonstrating their impact.
Key question
How can the use of AI in teaching and learning scenarios be structured in such a way that its impact becomes measurable?
Example topics
- Test environments for AI-supported teaching and learning tools
- Automated feedback generation
- Localisation of digital teaching materials
Methods
Prototyping, empirical evaluation, usage analysis
Brief profile
Making distributed information resources usable for specific decision-making situations.
Key question
How can heterogeneous data sets be transformed into reliable answers to real-world questions?
Example topics
- RAG architectures applied to local authority datasets
- Assessment of answer quality and source fidelity
- Governance requirements in local government applications
Methods
Retrieval pipelines, evaluation designs for generative systems, requirements analysis
Brief profile
Deriving reliable conclusions from movement and behavioural data and identifying the limitations.
Key question
What can be reliably deduced from telemetry data, and at what point is this no longer possible?
Example topics
- Driver and user identification from telemetry
- Anomaly and integrity checks
- Data pipelines for mobility data
Methods
Classification and clustering, feature engineering, validation
Brief profile
Automated checking and safeguarding of the quality of digitised document collections.
Key question
Which verification steps can be automated, and where does the decision-making remain with humans?
Example topics
- Error detection in scanning processes
- Classification and structural recognition of specialist documents
- Human-in-the-loop concepts for verification decisions
Methods
Image and document analysis, classification, error cost analysis
Brief profile
Designing applications that are easy to use whilst offering robust protection.
Key question
How can usability and protection requirements be reconciled, rather than pitted against one another?
Example topics
- Interaction concepts for AI assistance systems
- Usability of security mechanisms
- Secure architectures for mobile applications
Methods
Usability engineering, empirical evaluation, threat and log analysis
Brief profile
Your own topic proposals, which extend beyond the degree, as a basis for a Masterās or PhD.
Key question
How can a final-year dissertation become the first building block of further qualification?
Example topics
- Preliminary work for a Masterās project
- Preliminary study for a doctoral project
- Partial results suitable for publication
- Topics from your own professional background
Methods
Topic definition and synopsis, analysis of the current state of research, preparation for publication
Bringing perspectives together, shaping innovation
Network-based research
We focus on current issues relating to digital transformation and applied media informatics. Our work centres on linking scientific findings with specific technical and societal challenges. New methods and technologies are therefore tested in real-world application scenarios and further developed into robust solutions. Thematic areas range from artificial intelligence and intelligent data processing, through interactive media and humanāmachine interaction, to networked, embedded and mobile systems. Particular attention is paid to the question of how large and heterogeneous datasets can be accessed, linked together and used responsibly.
These key areas are also reflected in our specific research projects. In the Mobility for Saxony project, we are developing AI-supported methods and data pipelines for the collection, linking and analysis of multimodal mobility data. Ileas focuses on the development and testing of digital and AI-supported teaching and learning tools in realistic test environments. As part of Saxony5, we are working, amongst other things, on AI-based matching algorithms that automatically correlate heterogeneous information, skills and needs. As research is a collaborative process, we adopt an interdisciplinary approach in our projects and cooperate with other universities, research institutions, companies, and public and civil society stakeholders.
Partners in research and teaching
Bringing expertise together, broadening perspectives
Research thrives on the exchange of different perspectives and expertise. That is why we work closely with other departments. Through joint projects, teaching programmes and research initiatives, we combine our specialist areas of focus and develop new approaches at the intersections of computer science, digitalisation, media and other fields of application.
Mittweida University of Applied Sciences
Processes do not stop at departmental boundaries. The Chair shapes business and administrative processes end-to-end, automates them and makes them controllable on the basis of data.
Catholic University of EichstƤtt-Ingolstadt
Digital education meets language teaching: The chair combines perspectives from language teaching, digital teaching and learning scenarios, and Applied Computer Science, thereby creating scope for interdisciplinary research and innovative teaching.
Mittweida University of Applied Sciences
A pair of glasses, a gesture in the air, and the machine responds. The research group is developing immersive applications for industry, education and culture, and is testing how user-friendly they actually are.
Practice partnerships
Science in dialogue with the professional world
Close collaboration with businesses, public institutions and other partners in the field is a key part of our work. Together, we translate scientific findings into concrete practical applications, develop new approaches and address current issues arising from the field. This generates impetus for research projects, courses, dissertations and long-term collaborations.
Industrial Data Layer fĆ¼r KI-basierte Prozessanalysen
2941
Christian Roschke
KI@EINS Projekte
2937
Matthias Baumgart
PlattformĆ¼bergreifende Mitarbeiterapp fĆ¼r den SAXONIA-Verbund
2938
Matthias Baumgart
TransferLotse Mittelsachsen ā Entwicklung eines digitalen Assistenzsystems zur intelligenten Vernetzung von regionaler Wirtschaft und Wissenschaft
2942
Christian Roschke
Teaching Sustainability through Gamification: An Empirical Study with Student Perspectives in Vocational Education
Appeared in: Economic Sciences 21 (2026), P. 242 ā 255
DOI: 10.69889/hh8m5w14
21629
konferenzpaper
Development and Evaluation of a Feature for a University Application to Increase Motivation and Reduce the Dropout rate of Students in Higher Education
Presented on: Ireland International Conference on Education (IICE-2025), 2025
21320
konferenzpaper
Evaluating a Gamified Learning App: Usability, User Experience and Learning in Higher Education
Presented on: 9th International Conference on Teaching, Learning and Education, 2025
21322
konferenzpaper
Evaluation Research Proposals on Metadata Using Machine Learning Methods
Presented on: 8th International Conference on Software and System Engineering (ICoSSE) 2025, 2025
21319
konferenzpaper
Evaluierung einer gamifizierten Lern-App: Usability, User Experience und Lerneffekt in der Hochschulbildung
Presented on: DELFI 2025, 2025
21323
konferenzpaper
Developing new ideas together
Thank you very much for your interest in our work and in the topics we explore in our research and teaching. It is particularly exciting when different perspectives come together, new ideas emerge and academic questions give rise to concrete solutions.
If you are interested in our research, have an idea for a joint project, or would like to discuss current issues relating to digital transformation and media informatics, please do get in touch.
It is not enough to know; one must also apply what one knows. It is not enough to want; one must also act.
ā Johann Wolfgang von Goethe (Wilhelm Meisterās Journeyman Years)
We look forward to new perspectives, ideas and encounters.