Current Members
Pierre Cutellic
Dr. Sc. ETH, Principal Investigator
Pierre is a postdoc researcher in modelling technologies for architecture, a trained architect and designer. He obtained his PhD in 2021 after a fellowship at the Chair of Digital Architectonics, Insitute of Technology for Architecture, ETH Zürich since 2016. His research focuses on vision-based BCI integrations, for decision-tasks and learning automation of architectural modelling and design methods. Pierre graduated summa cum laude in Architecture from E.N.S.A. Paris-Malaquais in 2007. From 2010 to 2015, he was teaching as Adjunct-Assistant Professor in digital knowledge and practices, integrative design and production, human computation and algorithmics at the Digital Knowledge Dept. of Paris-Malaquais. Prior to joining ETH, Pierre was a lecturer at the CNPA Laboratory of EPF Lausanne since 2014.
Nauman Khalid Qureshi
Ms. Eng., Research Assistant
Marco Congedo
Prof. Dr. Sc., Scientific Partner
Marco Congedo is the research director at GIPSA Lab, CNRS, Grenoble. He is a researcher specializing in brain-computer interfaces (BCIs), neuroimaging, and machine learning. He is best known for pioneering signal processing techniques, particularly in electroencephalography (EEG), and for advancing Riemannian geometry-based methods in brain-signal interpretation. His work aims to enhance real-time analysis of brain activity, improving the efficiency of BCIs and neurofeedback systems. With numerous publications in neuroscience and cognitive science, Congedo has significantly contributed to understanding how machine learning can be applied to human cognitive states. He is also actively involved in developing open-source neuroimaging research and analysis tools.
Ricardo Chavarriaga Lozano
Dr. Sc. EPFL, Scientific Advisor
Ricardo Chavarriaga Lozano is the head of the CLAIRE Initiative for Excellence in AI in Switzerland. He is a leading expert in brain-computer interfaces (BCIs), artificial intelligence, and neurotechnology. He has extensive experience in human-machine interaction, cognitive neuroscience, and the ethical implications of neurotechnologies. Chavarriaga has worked on developing AI systems that enhance human cognitive capabilities and is known for his interdisciplinary research bridging neuroscience and machine learning. He has published widely on BCI applications, assistive technologies, and neuroethics. In addition to his research, he is actively engaged in promoting responsible innovation in neurotechnology through international collaborations and leadership in various scientific organizations.
Ludger Hovestadt
Prof. Dr. Sc., Scientific Coordinator
Student assistants
Vasilis Aloutsanidis, Ananya Kango, Muslima Rafikova, Joaquín Tobar Martínez
Contact Us
Neuramod Project Has Begun!
The Neuramod project, funded by SNSF Div 1-3, has officially started. Hosted at the Chair of Digital Architectonics (Prof. Dr. Hovestadt, fka. CAAD) within the Institute of Technology for Architecture (ITA) and the Department of Architecture (D-ARCH) of ETH Zürich, the project will run from 2021 to 2024.
The proposed research aims at assessing a new architectural modelling approach involving both human and artificial intelligences to decode and encode meaningful architectonic articulations from generated visuo-semantic tokens and neural responses as a next generation of grammar-less modelling methods, and based on information-communication technology and cognitive sciences paradigms. By the use of multimodal, gaze-dependent brain-computer interfaces, it will progressively elaborate a technical infrastructure for human-Machine-interaction, to allow for producing and evaluating visuo-spatial and physical experiments, and to finally reflect upon a synthetic and theoretical framework for the application of such methods.
More information on the website
Neuramod in the SNSF P3 Database