Decoding Turbulent Chemical Plumes with Improved Signal Processing and Machine Learning
During this webinar Dr. Javier Burgués will demonstrate how he has built faster and more reliable MOX sensors for tracking turbulent chemical plumes. He will be discussing how he and his team are leveraging low-cost chemical sensors in various signal processing and machine learning techniques to decode the fine-scale structure of turbulent chemical plumes.
Key topics covered during this webinar include…
- Signal processing methods developed to improve MOX sensor dynamics
- Experimental design and set up
- Data analysis from recent experiments and conclusions they provide
- How robotic plume tracking technology can be used for industrial and air quality monitoring, research and more
Speaker
Javier Burgués, PhD
Post Doctoral Researcher
Institute for BioEngineering of Catalonia (IBEC)