Andreas Jedlitschka Seminar

Dr.-Ing. Andreas Jedlitschka from Fraunhofer IESE presented visited us in November 2022 and presented the seminar: The Fraunhofer IESE “AI Innovation Lab” – how to make successful AI-projects.

Andreas is heading the department "Data Science", dealing with a systematic approach to topics related to data (Why, What, When, Where, Who, Which, How). His research interest is empirically-based and data-driven decision support where he has published several papers in Journals and Conferences. More recently, Andreas focuses his work on business value of data-driven innovation (incl. Artificial Intelligence). From a research perspective he is specifically interested in the detection of patterns and in particular deviations from those and the trustworthiness of the results. He co-authored a German patent on "Verfahren zur unaufdringlichen Überwachung einer Person und System zur Durchführung des Verfahrens". His most cited work is on "guidelines for reporting controlled experiments in software engineering". The guidelines provide one starting point for the adoption of the evidence-based SE paradigm. Dr. Jedlitschka is member several Program Committees (e.g., ESEM, PROFES) and served as a Program Co-Chair of ESEM 2016 and as the General Chair of PROFES2013. He represents Fraunhofer IESE in the International Software Engineering Research Network (ISERN). In projects with industry and under European FP5 (ESERNET), FP6 (EMERGE, VIDE, ReDSeeDS), FP7 (OASIS, AALIANCE, MUNDUS) and H2020 (Q-Rapids) he had/has leading roles. Andreas is lecturer for "Empirical Model building and Methods" at the university of Kaiserslautern, further he is regularly giving talks on big data and artificial intelligence.
Andreas Jedlitschka received his M.S. degree (Diplom, 1994) and PhD (Dr.-Ing., 2009) in Computer Science from the University of Kaiserslautern. After working seven years as an IT-consultant at Voss&Kamb und Partner GmbH he joined Fraunhofer IESE in 2000 where he started as project manager and scientist.