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Prof.Dr. Marco Huber
Prof. Dr. Marco Huber
Universität Stuttgart Fraunhofer IPA

Prof. Marco Huber, born on 12 January 1980 in Kehl, received his doctorate in computer science from the University of Karlsruhe (TH) in 2009. From 2009 to 2011, he headed the research group "Variable Image Acquisition and Processing" at the Fraunhofer Institute of Optronics, System Technologies and Image Exploitation IOSB in Karlsruhe. He then worked as a senior researcher at AGT International in Darmstadt until 2015. From April 2015 until September 2018, Prof. Huber was responsible for product development and data science services in the Katana division at USU Software AG in Karlsruhe. At the same time, he taught as a private lecturer in computer science at the Karlsruhe Institute of Technology (KIT). Since October 2018, he has held the professorship for cognitive production systems at the University of Stuttgart and is also head of the Centre for Cyber-Cognitive Intelligence (CCI) at the Fraunhofer Institute for Manufacturing Engineering and Automation IPA. His research focuses on the topics of machine learning, sensor data analysis and robotics in the production engineering environment.

Prof. Dr. Mandy Schiefner-Rohs
Prof. Dr. Mandy Schiefner-Rohs
TU Kaiserslautern

Prof. Dr. Mandy Schiefner-Rohs is a university professor for general education with a focus on school education at the TU Kaiserslautern. Her research focuses on the interface of media and (high) school pedagogical issues with a focus on the transformation of schools and universities as well as pedagogical professionalism in a culture of digitality.

She is a reviewer for various (inter)national journals (including Journal of Technology and Teacher Education, Research in Learning Technology, Zeitschrift für Erziehungswissenschaft, Die Deutsche Schule, Zeitschrift für Bildungsforschung, Zeitschrift für Medienpädagogik) as well as a reviewer for the Federal Ministry of Education and Research, the Rectors' Conference of the Swiss Universities, the Austrian Federal Ministry of Science, Research and Economy, the Volkswagen Foundation, the German National Academic Foundation and the DAAD, among others.

Gabriela_Molinar
Dr.-Ing. Gabriela Molinar
KIT

Gabriela Molinar studied electrical engineering and information technology in Venezuela. She received her doctorate in 2020 from the Institute for Information Processing Technology (ITIV) at the Karlsruhe Institute of Technology (KIT) and now works in the energy sector at the transmission system operator TenneT TSO GmbH in Bayreuth.

She received the 2022 Ecology Award of the Viktor & Sigrid Dulger Foundation for her work "Machine Learning Tool for Transmission Capacity Forecasting of Overhead Lines based on Distributed Weather Data", which makes an important contribution to power load forecasting using artificial intelligence as an optimisation method for grid operation and to support the energy transition in Germany.

Prof. Dr. Frank Hutter
Prof. Dr. Frank Hutter
Universität Freiburg

Frank Hutter is a Full Professor for Machine Learning at the University of Freiburg (Germany), as well as Chief Expert AutoML at the Bosch Center for Artificial Intelligence. Frank holds a PhD from the University of British Columbia (UBC, 2009) and a Diplom (eq. MSc) from TU Darmstadt (2004). He received the 2010 CAIAC doctoral dissertation award for the best thesis in AI in Canada, and with his coauthors, several best paper awards and prizes in international competitions on machine learning, SAT solving, and AI planning. He is a Fellow of EurAI and ELLIS, the director of the ELLIS unit Freiburg and the recipient of 3 ERC grants. Frank is best known for his research on automated machine learning (AutoML), including neural architecture search and efficient hyperparameter optimization. He co-authored the first book on AutoML and the prominent AutoML tools Auto-WEKA, Auto-sklearn and Auto-PyTorch, won the first two AutoML challenges with his team, co-organized the ICML workshop series on AutoML every year 2014-2021, has been the general chair of the inaugural AutoML conference 2022 and is general chair again in 2023.

Christina Kögler
Prof Dr. Kristina Kögler
Universität Stuttgart

Professor Kristina Kögler heads the Department of Vocational, Business and Technical Education at the University of Stuttgart. Her research focuses on the dynamics and conditioning factors of vocational learning and experience processes and their outcomes, as well as quality issues in virtual and hybrid learning settings. Kristina Kögler is on the board of the Vocational and Business Education Section of the German Society for Educational Science and editor of the series Empirische Berufsbildungsforschung published by Steiner Verlag.

Dirk_Ifenthaler
Prof. Dr. Dirk Ifenthaler
Universität Mannheim

Prof. Dirk Ifenthaler holds the Chair of Business Education - Technology-Based Instructional Design at the University of Mannheim and the UNESCO Deputy Chair on Data Science in Higher Education Learning and Teaching at Curtin University, Australia. His research focus combines issues of teaching-learning research, educational technology, data analytics and organisational learning.

Previous academic positions include Professor and Director of the Centre for Centre for Research in Digital Learning at Deakin University, Australia, Manager of Applied Research and Learning Analytics at Open Universities Australia and Professor of Applied Teaching and Learning Research at the University of Potsdam. Professor Ifenthaler was a 2012 Fulbright Scholar-in-Residence at the Jeannine Rainbolt College of Education, at the University of Oklahoma, USA.

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