Betreute Abschlussarbeiten

• Issue Specific Audio Event detection using Deep Learning (Master, October 2019)
• Videobasiertes Situationsbewusstseinssystem mit Datenschutz (Master, July 2020)
• Entwurf und Implementierung eines auf Schwingungssignalen basierenden Kontextwahrnehmungssystems (Master, November)
• Kontextbewusstes Internet der Dinge Plattformdesign und Implementierung (Bachelor, November)
• Schätzung der binären Laufrichtung und der Anzahl der gehenden Personen mithilfe von maschinellem Lernen (Bachelor, November)
• AI-basierter Streaming-Massenmessungsansatz Entwurf und Implementierung von Schlüsselalgorithmen (Master, TBD)
• Design und Implementierung eines KI-orientierten 3D Smart Home Simulators (Bachelor, TBD)

Topics for Theses

In our research, we are concerned with the AI-based context recognition and context based machine reasoning.

Many different types of sensors provide a wealth of data. This provides the feasibility for the machine to recognize this environment. Traditional situational awareness methods are often based on the setting of rules. It is not easy to perceive more abstract or obscure information. With the efficient implementation of neural network back-propagation algorithms on GPUs, artificial intelligence technology based on deep neural networks has been pushed to the hot spot of the times. Our project uses deep neural networks to learn multi-mode sensor signal data so that the machine can perceive the complex situation in the area where the sensor is located thus offer humans more intelligent supporting services.

With the help of sensors, a digital world can be established that corresponds to the real world. That is the digital twins. In the digital world, computer hardware, computing algorithms, and artificial intelligence methods can be used. Thus, some kind of approach based on this data makes it possible to reason about the real-world situation and requirements. So as to provide better services for mankind in the real-world. Based on the above methods, practical applications such as judicial forensics and smart homes become feasible to benefit humanity.

If you are interested in any of these problems, write me a mail and we can think of a topic that fits into my research area and your skills/interests.

Research Interests

• Machine Learning
• Deep Learning
• Machine Reasoning
• Reinforcement Learning
• Machine Learning based Application
• Context-aware Computing
• AI-based Context Recognition
• Explainable AI
• Pervasive Computing and Internet of Things

Selected Projects

• Research project “Privacy Mechanisms”, funded by Evonik

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Publikationen

2020 (2)

• Yu, Yang and Waltereit, Marian and Matkovic, Viktor and Hou, Weiyan and Weis, Torben
  Deep Learning-based Vibration Signal Personnel Positioning System
  In: IEEE Access
  DOI: 10.1109/ACCESS.2020.3044497
• Yu, Yang and Weis, Torben
  A Privacy-Protecting Indoor Emergency Monitoring System based on Floor Vibration
  In: Adjunct Proceedings of the 2020 ACM International Joint Conference on Pervasive and Ubiquitous Computing and Proceedings of the 2020 ACM International Symposium on Wearable Computers
  DOI: 10.1145/3410530.3414423

2013 (1)

• Yu, Yang
  Temperature-controlled water saving valve
  In: Patent {CN}202812427U

2012 (2)

• Yu, Yang
  Large powder material storage
  In: Patent {CN}202509831U
• 于洋(Yu, Yang)
  无线局域网络信道规划及控制技术分析
  In: 中国新通信

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Projekte

• Evonik Digital Research

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Lehre

WiSe 20/21

• Distributed Systems

Abschlussarbeiten

• Allgemeine Informationen

SoSe 2020

• Verteilte Systeme

WiSe 19/20

• Distributed Systems

WiSe 18/19

• Distributed Systems
• Praxisprojekt: Online-Portal zur zentralen Zuteilung von Praxisprojekten
• Rechnernetze und Kommunikationssysteme