A Novel PINNs Approach for Efficient Multimodal Mapping and Inversion of Vibrations
We’re excited to announce that we’ve started posting presentations from IMC2024 on our YouTube channel! Don’t miss out on the latest insights and discussions. Subscribe to stay updated! Speaker: Dr. Saeid Hedayatrasa, Flanders Make Abstract:The vibrational characteristics of structural components contain valuable insights into their inherent mechanical properties and overall health status. Consequently, there’s a (…)
Final day of IMC 2024 Conference
The final day of our conference was a huge success, filled with insightful presentations, exciting discussions, and inspiring ideas. 1. Dr. Kai Hencken (ABB) hosting a panel discussion with vinay sharma (EPFL), Dr. Rafael Carrillo (CSEM), and Dr. Saeid Hedayatrasa (Flanders Make). 2. Dr. Florent Forest (EPFL) hosting a panel discussion with Prof. Sepideh Pashami (…)
8th Intelligent Maintenance Conference + Workshop
1. Prof. Olga Fink (EPFL) hosting a discussion with Prof. Dario Floreano (EPFL) and Vincent Cheriere (Airbus). 2. Prof. Ajith Kumar Parlikad (Cambridge University) hosting a panel discussion with Prof. Gian Antonio Susto (Padova University), Han Sun (EPFL), Felipe Macedo, Dr. sc. ETH (Hitachi), and Chi-Ching Hsu (ETHZ). 3. Prof. Pierre DERSIN (Luleå University) hosting (…)
Master Thesis opportunity for EPFL students
We have an exciting Master Thesis opportunity for EPFL students! In collaboration with Belimo, this Master project aims to investigate Deep Learning approaches for HVAC commissioning in buildings (https://lnkd.in/eEwb38KN). The student will develop a Deep Learning model capable of predicting and verifying HVAC parameters during the commissioning process in order to mitigate the occurrence of human (…)
PhD student – Best Paper Award
PhD student Mengjie Zhao received the “Best Paper Award” at the hashtag#PHME2024 conference last week for their work on “Virtual Sensor for Real-Time Bearing Load Prediction Using Heterogeneous Temporal Graph Neural Networks”. This paper is a collaboration with Prof. Olga Fink, Cees Taal and Stephan Baggeröhr. Congratulations! Paper: https://lnkd.in/eK3VYB39
Graph Neural Networks for Complex Industrial Multi-Systems
This week, Raffael Theiler from IMOS Lab – EPFL had the opportunity to attend the 9th Annual Research and Development Conference on Industry 4.0, presenting our recent work: “Graph Neural Networks for Complex Industrial Multi-Systems.” We are excited to announce that in connection with the presented project, we are opening a new master’s thesis opportunity (link below). (…)
IMOS Lab – EPFL is growing!
We warmly welcome our new PhD student, Amaury Wei! Amaury worked for 3 years in the industry on 6DoF Object Pose Estimation after receiving his Master degree in Robotics from École polytechnique fédérale de Lausanne (EPFL). At IMOS Lab – EPFL, he will be researching Counterfactual Reasoning of Physics Dynamics.
Non-contact sensing for anomaly detection in wind turbine blades
Wishing you all a Happy New Year from the IMOS Lab – EPFL! ✨ For this new year we are excited to share with you our new paper: “Non-contact sensing for anomaly detection in wind turbine blades: A focus-SVDD with complex-valued auto-encoder approach” In this work we propose a new manufacturing defects detection pipeline for (…)
Olga Fink awarded fellow of PHM Society
Olga Fink heads EPFL’s Laboratory of Intelligent Maintenance and Operations Systems (IMOS) since 1st March 2022, at the School of Architecture, Civil and Environmental Engineering (ENAC). Her research focuses on the development of intelligent algorithms in complex infrastructures and industrial systems. She is a recognized expert in the fields of deep learning and hybrid algorithms for (…)