Lydia Y. Chen is a Professor in the Department of Computer Science at the University of Neuchatel in Switzerland and Delft University of Technology in the Netherlands. Prior to joining TU Delft, she was a research staff member at the IBM Research Zurich Lab from 2007 to 2018. She holds a PhD from Pennsylvania State University and a BA from National Taiwan University. Her research interests are distributed/federated machine learning systems, generative AI, and dependability and privacy enhancing technologies. More specifically, her work focuses on developing machine learning and stochastic models, and applying these techniques to application domains, such as data centers, edge systems, semi-conductor and material science.

She has published more than 100 papers in peer-reviewed journals, including IEEE Transactions on Distributed Systems and IEEE Transactions on Service Computing, and in conference proceedings, including ICML, ICDE, MobiCom, DSN, and EUROSYS. She was a co-recipient of the best paper awards at CCGrid’15 and eEnergy’15. She received TU Delft technology fellowship in 2018. She was program co-chair for IEEE IC2E 21, IEEE ICAC 2019, Middleware Industry track 2018, track vice-chair for ICDCS 2018, and DIAS 2017. She serves on the editorial boards of IEEE Transactions on Dependable and Secure Computing, IEEE Transactions on Parallel and Distributed Systems, IEEE Transactions on Service Computing and IEEE Transactions on Network and Service Management. She is an IEEE senior member.

Michael Kamp is the leader of the research group Trustworthy Machine Learning at the Institut für KI in der Medizin (IKIM), located at the Institute for Neuroinformatics at the Ruhr-University Bochum. In 2021 he was a postdoctoral researcher at the CISPA Helmholtz Center for Information Security in the Exploratory Data Analysis group of Jilles Vreeken. From 2019 to 2021 I was a postdoctoral research fellow in the Data Science & AI Department at Monash University and the Monash Data Futures Institute, where he is still an affiliated researcher. From 2011 to 2019 he was a data scientist at Fraunhofer IAIS, where he lead Fraunhofer’s part in the EU project DiSIEM, managing a small research team. Moreover, he was a project-specific consultant and researcher, e.g., for Volkswagen and DHL, and designed and gave industrial trainings. Since 2016 he was simultaneously a doctoral researcher at the University of Bonn, teaching graduate labs and seminars, and supervising Master’s and Bachelor’s theses. Before that, he worked for 10 years as a software developer. He is a member of the editorial board of the Springer journal Machine Learning and a member of the ELLIS society.