Finding a coherent direction
I help students turn broad interests into focused, feasible and theoretically meaningful research questions.
Current contribution
Supervision and invited teaching
My present educational contribution focuses primarily on doctoral and master’s supervision, research mentorship, invited teaching, guest lectures, executive education and public engagement in responsible AI, recommender systems and computational user behaviour.
The course archive below documents earlier teaching experience. It is retained as a historical record rather than presented as a current semester schedule.
Teaching philosophy
Build systems. Examine the evidence.
Students and professionals should understand how AI systems are built, how evidence about them is produced, and how their effects on people and society can be evaluated critically.
My teaching connects algorithms and data with behavioural theory, user-centred evaluation and responsible innovation. Learners work with concrete systems and cases while developing the ability to ask better questions: What is being optimised? Who benefits? What evidence supports the claim? What happens when the system meets the real world?
Courses and projects connect theory with prototypes, datasets, user studies and organisational problems.
Mentorship in practice
How I support research students
Developing rigorous evidence
Supervision connects method choices with the claims a study can responsibly make, including limitations and uncertainty.
Moving toward contribution
Strong student work can develop into publications, prototypes, partner learning or a foundation for further research.
Learning journey
From research question to contribution
A recurring structure in courses and supervision is to connect conceptual understanding with practical and empirical work.
Step 1Frame the problemIdentify the human, technical and institutional question that matters.
Step 2Understand the evidenceRead critically, define concepts and distinguish claims from assumptions.
Step 3Design the studySelect methods, data and evaluation criteria that fit the question.
Step 4Build and testDevelop prototypes or analyses and evaluate them with appropriate users or data.
Step 5Communicate responsiblyExplain findings, uncertainty, limitations and implications clearly.
Selected teaching portfolio
Teaching topics and experience
Selected areas from university teaching and invited lectures. The dated record below documents earlier course assignments.
Recommender Systems
Algorithms, evaluation, user experience, bias and responsible personalisation.
Information Systems
How organisations design, manage and evaluate digital technologies and data-driven services.
Data Mining & Predictive Modelling
Models, behavioural data and critical interpretation of predictive performance.
Web Science & Web Technology
Networks, social systems, information access and the behavioural dynamics of the web.
Multimedia Information Systems
Search, recommendation and interaction across multimedia and social information environments.
Research Methods & Scientific Working
Study design, evaluation, scholarly argument and clear communication of evidence.
Course archive
Course archive · 2010–2021
2021
- 2021: Recommender Systems at MODUL University Vienna, Lecturer
- 2021: Recommender Systems: "Food Recommender Systems" at the University of Bergen, Invited Lecturer
2020
- 2020: Information Systems at the University of Bergen, Lecturer
- 2020: Recommender Systems at MODUL University Vienna, Lecturer
- 2020: Information Systems Management at MODUL University Vienna, Lecturer
2019
- 2019: Information Systems at the University of Bergen, Lecturer
2018
- 2018: Research Topics in Recommender Systems at the University of Bergen, Lecturer
- 2018: Information Systems at the University of Bergen, Lecturer
- 2018: Information Systems Management at MODUL University Vienna, Lecturer
- 2018: Recommender Systems at Graz University of Technology, Invited Lecturer
2017
- 2017: Information Systems at MODUL University Vienna, Lecturer
- 2017: Information Systems Management at MODUL University Vienna, Lecturer
- 2017: Marketing Intelligence at MODUL University Vienna, Lecturer
- 2017: Emerging Tools for New Media and Information Management at MODUL University Vienna, Lecturer
- 2017: Recommender Systems at Graz University of Technology, Lecturer
2016
- 2016: Web Technology at Graz University of Technology, Lecturer
- 2016: Recommender Systems at Graz University of Technology, Invited Lecturer
- 2016: Master Project at Graz University of Technology, Lecturer
- 2016: Diploma Seminar at Graz University of Technology, Lecturer
2015
- 2015: Multimedia Information Systems at Graz University of Technology, Lecturer
- 2015: Data Mining at NTNU: "Cognitive Models in Recommender Systems", Invited Lecturer
- 2015: Master Project at Graz University of Technology, Lecturer
- 2015: Diploma Seminar at Graz University of Technology, Lecturer
- 2015: Introduction to Scientific Working at Graz University of Technology, Lecturer
2014
- 2014: Master Project at Graz University of Technology, Lecturer
- 2014: Diploma Seminar at Graz University of Technology, Lecturer
- 2014: Introduction to Scientific Working at Graz University of Technology, Lecturer
- 2014: Multimedia Information Systems 1: "Current trends in Social Computing" at Graz University of Technology, Invited Lecturer
- 2014: Evaluation Methodology: "Crowd-based evaluation methods" at Graz University of Technology, Invited Lecturer
- 2014: Recommender Systems: "Content & Graph-based recommender systems in social tagging systems" at PUC, Chile, Invited Lecturer
- 2014: Introduction to Knowledge Management: "Rule Based Systems" at Graz University of Technology, Invited lecturer
- 2014: Web Science and Web Technology at Graz University of Technology, Lecturer
2013
- 2013: Introduction to Knowledge Management at Graz University of Technology, Lecturer
2012
- 2012: Web Science and Web Technology: "Selected Topics: Tag-Based Navigation" at Graz University of Technology, Invited Lecturer
2011
- 2011: Web Science and Web Technology: "Current Research on Tagging Systems" at Graz University of Technology, Invited Lecturer
- 2011: Networks Navigability: Theory and Applications at University of Ohrid, Macedonia, Invited Lecturer
2010
- 2010: Databases 1: "Introduction to MySql" at Graz University of Technology, Invited Lecturer
I am happy to provide references for former students whose course or research work I know well. A useful reference requires enough direct interaction for a specific and evidence-based assessment.
Looking for a guest lecture or executive session?
I offer research-grounded sessions on responsible AI, recommender systems, human behaviour and trustworthy technology.