Name:Andrea Wohlgemuth

Bio:

Andrea Wohlgemuth has over 15 years of experience in various roles related to Requirements Engineering (RE) within both applied research and industry, particularly in the intralogistics automation context (LAS) with a focus on warehouse management systems (WMS).

Andrea has worked on various projects for intralogistics software at Fraunhofer IML Dortmund (Germany), including WMS market reports, vendor selection consultancy, and software validation. In her industry career at LAS providers, Andrea has worked as a product owner or business analyst with global distributed teams, as a RE trainer, in software strategy roles, and in in-house research projects. She has experience working in global large-scale companies that address not only software but also mechatronic systems.

Since 2022, Andrea has been a member of the leading team in the German Informatics Society’s Special Interest Group on Requirements Engineering (Gesellschaft für Informatik). She is also a PhD student at Utrecht University, the Netherlands, in collaboration with FH Dortmund, Germany, under the supervision of Fabiano Dalpiaz and Erik Kamsties. Her research focuses on bridging industry RE contexts and research knowledge, with an interest in identifying AI use cases for RE.

Country:Germany

Affiliation:Utrecht University & FH Dortmund

Research interests:Requirements Engineering, Logistics, Machine Learning