Speaker
Jian-Jia Chen
Description
In the scientific experiments nowadays, sensor setups and algorithms that process sensory data are usually statically configured and applicable only for specific scenarios. The SenSE project, as a joint effort of 4 PIs from CS and 4 PIs from Physics, addresses the research question: how can we use machine learning models to make sensors flexible and resilient with respect to changing environmental conditions in scientific experiments while still being efficient. The seminar will provide a short summary of the proposal and a status report of the internal Lamarr effort of sensor fusion.
