Electronic Circuits Design for real-time Chemical Environments Detection
Master thesis- Axis:
- Production, stockage et gestion de l’énergie
- Site :
- Lille
- Type:
- Master thesis
- Supervising person(s):
- Bilel HAFSI (Icam), Sébastien Pecqueur (CNRS)
Organic electronics has demonstrated its long-term application potential (eg: organic light-emitting diodes / Transistor/ sensors …) and also promotes more exploratory concepts like (neuromorphic / chemical sensors, solar / thermal / RF energy recovery). The mechanical / electrical / optical / biochemical versatility of these materials ensures interesting properties for specific platforms / systems / substrates, unlocking breakthrough innovations related to scientific concepts in artificial intelligence, biomedicine, internet-of-objects and in sustainable environment.
Project description :
In order to achieve an electronic characterization platform for the systematic study of organic micro-sensor networks (manufactured at the IEMN laboratory) using a multi-parameter data analysis algorithm, the mission of this subject MSI internship is to design an electronic circuit in charge of the detection part and the interface with a computing unit. By using logical addressing circuits as well as analog elements to condition the signal collected from a matrix of conductimetric micro-sensors, the objective of the internship is to create a micro-controlled platform (from CAD design to tests PCB) which can analyze in real time the response of the cell exposed to different chemical environments, and allow instant classification by principal component analysis (PCA) or artificial neural networks (ANNs). The goal is to realize a new “organic electronic nose” technology used to analyse complex environments for medical and environmental applications.
Expected deliverables:
Electronic Circuits Design for Instant Detection of Chemical Environments
- required skills:
-
Electronic Design (Digital and Analog), Prototyping / Electrical Tests (Eagle or other design tools), Computer Programming (Python or other if more suited to the mission) and Microcontroller (Arduino or other if more suited to the mission), Analysis of Data (PCA, SVD, ANN)