Prof. Dr. Thiemo Wambsganss

Responsibilities

Human-Centered AI Learning Systems (HAIS)-Lab

Focus areas

https://thiemowa.github.io

Degree programmes

MSc Digital Business Administration
BSc Digital Business AI

Subjects

MSc Digital Business Administration: Prompt Engineering. Innovation Through Generative AI; Master Thesis; Operational Excellence; Emerging Technologies.
BSc Digital Business AI: Prozessmanagement; Begleitete Praxistätigkeit; Praxisprojekt; Innovation through Generative AI; Bachelor Thesis.

Specialisations

Human-Computer Interaction, Information Systems, Natural Language Processing, Educational Technology

Focus areas

human-AI collaboration, Large Language Models, intelligent writing systems, value-sensitive design, AI feedback, trust in AI, bias mitigation.

Biography

My research lies in the general area of Human-Computer Interaction with influences from Natural Language Processing, and Machine Learning. I strive to understand how humans perceive, interact, and learn with intelligent tools. Based on these insights, I build adaptive user interfaces that go beyond static and rule-based interaction to advance the capabilities when working and learning in the digital world.

Specifically, I am driven by the vast opportunities to enhance and improve pedagogical scenarios based on recent advantages in Natural Language Processing and Machine Learning to enable humans to learn self-reliant and individually independent of an educator or their background. To do so, I use techniques from Artificial Intelligence (AI) to build AI-powered education tools. My research follows three connected main lines of work: 1) create and study pedagogical conversational agents or intelligent writing support systems to improve educational scenarios, 2) explore methods and techniques to model student performance in numerical or textual data, and 3) build computational approaches that control when, where and how to provide students intelligent feedback and self-evaluation.

As part of a research team, I have developed adaptive argumentation writing support systems which helps individuals to develop better writing and reasoning skills (CHI 2020 or ACL 2022 paper). Also, I built an intelligent conversational agent that provides students with adaptive and individual argumentation tutoring while writing persuasive essays independent of an instructor, time or location (CHI 2021 paper). Moreover, I designed an empathy writing support tool by modeling the cognitive and emotional empathy structures in student-written texts (ACL 2021 or CHI 2022 paper).

Professional experience

03/2026–ongoing Research Professor and Group Head Institute Digital Technology Management, Head of Human-Centered AI-based Systems (HAIS) Lab, Bern University of Applied Sciences.
03/2026–07/2026 Appointed Visiting Professor Korean Advanced Institute of Science and Technology (KAIST), Daejeon, South Korea
04/2022–06/2023 Tenure Track Research Assistant Professor Bern University of Applied Sciences
2022-2023 PostDoc and project group lead at the Machine Learning for Education Laboratory (ML4ED) École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, CH
2021-2022 Visiting Research Collaborator at the Human-Computer Interaction Institute (HCII) Carnegie Mellon University (CMU), Pittsburgh, USA
2022 Research Visitor at the Natural Language and Information Processing (NLIP) research group University of Cambridge, Cambridge, UK
2018-2022 PhD. Student and Research Associate at the Institute of Information Management University of St. Gallen (HSG), CH

Education

2018-2022 Ph.D. Program in Management (Business Innovation), Dr. oec. HSG University of St. Gallen (HSG), CH
2016-2018 Master of Science (M.Sc.) in Industrial Engineering Karlsruhe Institute of Technology (KIT), GER
2012-2016 Bachelor of Science (B.Sc.) in Industrial Engineering Karlsruhe Institute of Technology (KIT), GER