Lectures
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Event overview
| Lecture | Study program | Start | Length | winter semester | summer semester |
|---|---|---|---|---|---|
| Computer Networks | BA Inf, ET | 20.04.2026, 10:00 a.m. | 6 CP | - | X |
| Mobile Computing | BA Inf, ET | 22.10.2025, 10:15 a.m. | 6 CP | X | - |
| Communication Technologies 1 | MA Inf, ET | 16.04.2026, 10:00 a.m. | 6 CP | - | X |
| Communication Technologies 2 | MA Inf, ET | 16.10.2025, 11:00 a.m. | 6 CP | X | - |
| Codecamp Context Awareness 1 (Android/Java) | BA Inf, ET | 20.10.2025, 10:00 a.m. | 6 CP | X | - |
| Codecamp Context Awareness 1 (iOS) | BA Inf, ET | 16.04.2026, 12:30 pm | 6 CP | - | X |
| Codecamp Context Awareness 2 (iOS) | MA Inf, ET | 16.10.2025, 14:00 h | 6 CP | X | - |
| Codecamp Context Awareness 2 (Android/Java) | MA Inf, ET | 20.04.2026, 16:00 h | 6 CP | - | X |
The research work of the Department of Communication Technology at the University of Kassel focuses on innovative technologies and applications that address societal challenges in the areas of mobility, health, e-learning, digital work, smart cities and the future of the internet. A particular focus is on the development and use of context-based applications, supported by artificial intelligence (AI) and improved mobile experiences.
Key research areas
- Road safety for vulnerable road users (VRUs):
- Researching solutions to improve the safety of pedestrians, cyclists and other vulnerable road users.
- Analysis of IMU (Inertial Measurement Unit) data to detect physical activities such as turning, starting and stopping.
- Development of AI-supported algorithms to predict movements and improve traffic infrastructure
- Interactive user interfaces for smart cities:
- Development of innovative interfaces for interacting with smart urban objects, such as traffic lights, tourist attractions or environmental sensors.
- Integration of augmented reality (AR) and virtual reality (VR) for immersive and intuitive user experiences.
- Application of AI and improved algorithms:
- Optimization of AI methods to increase efficiency and scalability in various application areas.
- Use of context-based systems that can understand and react to human behavior and environmental factors in real time.
- Use of AI in the Hessian craft sector, such as a butcher's shop, to monitor and improve production processes (example: "Ahle Wurscht meets AI").
- Mobility and networked systems:
- Research into networked communication systems that enable safe and efficient mobility.
- Integration of sensors and IoT technologies to improve urban infrastructure.
Core technological aspects
- Artificial Intelligence: Development and implementation of advanced algorithms for a wide range of applications, including traffic safety and smart cities. This also includes participation in hessian.AI.
- AR/VR technologies: Creating immersive virtual environments and augmented realities that facilitate interactions with smart objects and data.
- Sensor integration: Use of IMU, camera and environmental sensors for data acquisition and real-time processing.