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Personne

Christian Giang

Cette personne a quitté l’EPFL

Christian Giang is a researcher at the École Polytechnique Fédérale de Lausanne (EPFL) and the Department of Education and Learning at the University of Applied Sciences and Arts of Southern Switzerland (SUPSI-DFA). His research focuses on the use of educational technologies in formal education. He received the Ph.D. in Educational Robotics from EPFL in 2020. Before that, he received the BSc and MSc degrees in Electrical Engineering and Information Technology from ETH Zürich. Moreover, he is currently completing the teaching certificate in Electrical Engineering (Didaktik-Zertifikat) at ETH Zürich.

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https://people.epfl.ch/christian.giang?lang=fr

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Publications associées (21)

Veuillez noter qu'il ne s'agit pas d'une liste complète des publications de cette personne. Elle inclut uniquement les travaux sémantiquement pertinents. Pour une liste complète, veuillez consulter Infoscience.

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Kilian Schindler

Daniel Kuhn is Professor of Operations Research at the College of Management of Technology at EPFL, where he holds the Chair of Risk Analytics and Optimization (RAO). His current research interests are focused on data-driven optimization, the development of efficient computational methods for the solution of stochastic and robust optimization problems and the design of approximation schemes that ensure their computational tractability. This work is primarily application-driven, the main application areas being engineered systems, machine learning, business analytics and finance. Before joining EPFL, Daniel Kuhn was a faculty member in the Department of Computing at Imperial College London (2007-2013) and a postdoctoral research associate in the Department of Management Science and Engineering at Stanford University (2005-2006). He holds a PhD degree in Economics from University of St. Gallen and an MSc degree in Theoretical Physics from ETH Zurich. He is the editor-in-chief of Mathematical Programming.

Christian Giang

Graph Chatbot

The role of feedback and guidance as intervention methods to foster computational thinking in educational robotics learning activities for primary school

Generalisable Methods for Early Prediction in Interactive Simulations for Education

Aligning the Design of Educational Robotics Tools With Classroom Activities