Prof. Dr. Johannes Schneider

Artificial Intelligence and Data Science

Abstrakte Illustration eines menschlichen Kopfes mit KI Schaltkreisen und AI Schriftzug.

We explore and develop innovative approaches in the field of artificial intelligence and data science, fostering a basic understanding in this area. We also impart this understanding to students and support companies in their implementation. To ensure that society and the economy benefit from our research results, scientific expertise and newly developed AI solutions, we place great emphasis on active and open knowledge and technology transfer.

Research

The focus is on technical, organisational and social issues in the field of artificial intelligence (AI) and data science, with a concrete link to practical application in companies.

Both empirical and qualitative research is conducted, with high-performance computing as well as the direct involvement of people forming essential components.

Applications of AI and data science: where and how can modern AI such as ChatGPT be used? How can data be used to solve real-world problems?
Generative and agentic AI fundamentals: how can AI be improved in terms of sustainability, performance and robustness?
Explainable artificial intelligence (XAI): how does AI make decisions and why?
AI governance in companies: how can AI risks in companies be reduced while at the same time leveraging opportunities?

We carry out a range of projects with industry partners, with some examples listed below:

Funded projects:

"Opening the Black Box of Music Royalties with Machine Learning" with Hela.Works, Innosuisse project
"Large Scale Big Data Pattern Mining" with WireFrame, Innosuisse project
"Performance Management and Evaluation with Process Mining and Big Data" with Innocheck

Cooperations within the framework of doctoral studies:

IoT-data based battery management, Hilti PhD programme
Dialect recognition and generation, PhD collaboration with MadeMyDay
Human activity recognition of hand-held power tools, Hilti PhD programme
Generative AI in building information modelling (BIM), Hilti PhD programme

Other projects with publications with industry partners:

We offer a range of professional education opportunities, from short keynote speeches to consecutive full-day workshops. Below are some examples from the past:

Workshops:

Artificial intelligence: current trends, applications and management
Large Language Models à la ChatGPT in business
Build and manage your “ChatGPT” for your company

Invited talks:

In total, over 30 regional and international talks at companies or for the general public, for example at Huawei, SAP, Liebherr, ETH Alumni, LMU Munich, Digital Liechtenstein, LIHK, Palais Liechtenstein, Rotary Club Liechtenstein, Competence Centre HUMAINE, Rotary Club Feldkirch, Liechtenstein Adult Education Foundation, and the Campus Talk at the University of Liechtenstein.

4x Best Paper Awards
Multiple top-tier (A) papers according to both technology- and business-oriented rankings
Frequently the most-read researcher from Liechtenstein according to ResearchGate
Invited Speaker, e.g., SAP,  Liebherr, Huawei