Artificial Intelligence & Machine Learning
Damian Borth
Data Science
Siegfried Handschuh
Information Management
Walter Brenner
Interaction- and Communication-based Systems
Simon Mayer
Software Systems Programming and Development
Barbara Weber
The Artificial Intelligence and Machine Learning [AI:ML] chair at the Institute of Computer Science covers the area of traditional machine learning and deep learning. Our research focuses on supervised and unsupervised learning focusing on deep neural networks such as CNNs, LSTM, and GANs with application areas in image recognition, video analysis, remote sensing and time series data in financial markets. If you want to know more, please have a look at our NVIDIA video or the following Forbes article.

Data science refers to the use of scientific methods, processes, algorithms and systems to gain knowledge and insights from data in various forms, both structured and unstructured. The research focuses on the following areas:
  • Data Science, Artificial Intelligence, Machine Learning, Knowledge Representation
  • Natural Language Processing, Word-Embedding, Distributional Semantics, Multimodal Semantics
  • Big Data, Linked Data, Semantic Web, Knowledge Graphs

Walter Brenner is Professor of Information Systems at the University of St. Gallen since 2001. Among other previous positions, he was Professor at the University of Duisburg-Essen, at the TU Freiberg and Head of Application Development at Lonza AG in Basel. He conducts research in the field of computer science management and the use of innovative technologies in processes and products. Walter Brenner is Managing Director of the Institute of Computer Science and coordinates the development of computer science at the University of St. Gallen.
In our research group, we explore interactions among devices and people in ubiquitous environments. Our research focuses on the integration of physical things into the Web, on increasing the autonomy of Web-enabled devices and their understanding of one another, and on making interactions of connected devices intelligible for people. Our work is applied primarily in the domain of industrial automation and autonomization.
The Software Systems Programming and Development Chair at the Institute of Computer Science covers both the development and evaluation of software artifacts. Our research focuses on adaptive software systems ranging from flexible process-oriented and event-driven systems to neuro-adaptive software systems and software development tools that take into account the emotional and cognitive state of the users and independently reconfigure themselves on the basis of the data collected.
Institute of Computer Science (ICS-HSG)
University of St. Gallen (HSG)

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