• Design, development and evaluation of data-driven prototypes, services and products based on state-of-the-art artificial intelligence methods, especially machine learning and deep learning.
• Collaboration in interdisciplinary project teams to design, implement and evaluate innovative prototypes, services and products in the IoT environment.
• Design, implementation and rollout of ML models (MLOps) and applications using tools (e.g. mlflow, dvc) and cloud services (e.g. MS Azure Machine Learning Services).
• Documentation, continuous monitoring (e.g. data and context drift) and maintenance of the developed models.

• Project coordinator BMBF-funded project SKILLED
• Development of a socio-empathic multi-turn conversational AI for HRI in public spaces (e.g.,museums, train stations, airports, shopping malls)
• Supervision of Ph.D. students in the area of healthcare, service and automation robotics

• semantic analysis of the rise of precision medicine over the past two decades in a study of archives of biomedical journals
• analysis of the technical features of probabilistic and algorithmic techniques in the field of Precision Medicine
• analysis of the computational aspects

• HRI field studies with mobile robots in public spaces to persuade people to follow social rules
• Studying Cognitive Dissonance Reduction when Robots’ admonish people
• Developing interaction strategies that reduce trivialization of robots

Research and supversion of students on

• personalization mechanisms for enhancing user experience
• robot skill learning by exploiting comparative human judgement
• human-robot handover under visual impairment
• detection of human exhaustion during exercising based on facial expressions

Lectures:

• Social Robotics, Ethics and Social Aspects of Intelligent Systems and robots; Social User Interfaces;

Research on

• the motivational effects of embodiment, feedback, adaptation for robotic exercising companions
• the development of a robotic exercising companing (e.g, vision, control, interaction and adaptation)

Lectures: Social Robotics

Research on

• Analysis of long-term Human-Robot Interaction research data
• Identification of future research topics in the area of socially assistive robots for exercising

Lectures: Social robots, ethical and social aspects of intelligent systems and robots

Research on and implementation of

• motivational feedback mechanism for long-term HRI.
• long-term database design and maintenace
• Motion-speech synchronization for robots

Research on

• on robot-assisted indoor cycling under isolation with the German Center for Aerospace