معرفی
Dr. Michaela Kümpel is a postdoctoral researcher at the Institute of Artificial Intelligence (IAI) at the University of Bremen, working in the Department of Computer Science within the Faculty of Mathematics/Computer Science. She received her PhD (Dr.-Ing.) from the University of Bremen on March 19, 2024, after being a PhD student at the IAI group under Prof. Michael Beetz from 2020 to 2024. She joined the Institute of Artificial Intelligence in 2017 as a research associate and has been actively involved in multiple research projects including Knowledge4Retail, EASE DFG CRC, and H2Media.
Her educational background includes a Master of Science in Management Information Systems from the University of South Florida (specializing in statistics and data mining), a Bachelor of Science in Information Systems, and a pre-diploma in business administration from the University of Osnabrueck, Germany. Before her academic career, she completed an apprenticeship as a qualified IT specialist, working at Bankhaus Carl F. Plump and IBM Germany.
Dr. Kümpel's research focuses on creating actionable knowledge graphs that bridge Web information with real-world applications for robots and users. Her work spans several key areas: Actionable Knowledge Representation, Flexible action execution on robots, Semantic Digital Twins, Augmented Reality applications, and Machine Learning and Data Mining. She has developed frameworks for creating knowledge graphs from Web information and grounding them in the real world using semantic digital twins to make knowledge actionable for various applications.
Her publication record shows a strong progression in robotics and knowledge representation research, with recent work focusing on actionable knowledge graphs for robot manipulation, semantic digital twins for retail environments, and knowledge engineering methodologies for flexible robot manipulation. Her research has particular emphasis on practical applications in retail scenarios, meal preparation tasks, and omni-channel user assistance.
Dr. Kümpel actively contributes to the academic community through teaching, having lectured courses like 'Actionable Knowledge Representation' at the University of Bielefeld and Informatica Feminale. She has also received funding for her individual project 'Actionable Knowledge Representation for Robots' (AKR4R) through the Central Research Development Fund of the University of Bremen.
She supervises numerous students across bachelor's and master's levels, with thesis topics ranging from robot manipulation to knowledge graph applications. Her work has been presented at major conferences including ICRA, ESWC, FOIS, and AAMAS, demonstrating her active engagement in the robotics and knowledge representation research communities.
