Machine Learning and Artificial Intelligence in Chemical and Biological Sensing

1. Fundamentals of Chemical Sensors and Biosensors
2. Fundamentals of Machine Learning (ML) and Artificial Intelligence (AI)
3. Use of ML/AI in Chemical Sensors and Biosensors
4. ML-Assisted E-nose and Gas Sensors
5. ML-Assisted FTIR and Raman Spectroscopic Sensing in Agricultural and Food Systems
6. ML-Assisted Surface-Enhanced Raman Spectroscopic Characterization of Biological Systems
7. AI-Assisted Microscopic Imaging Analysis for High Throughput Phenotyping
8. ML-Assisted Lens-Free Imaging
9. ML-Assisted Multispectral and Hyperspectral Imaging
10. AI/ML-Assisted NIR/Optical Biosensing for Plant Phenotyping
11. ML-Assisted Receptor-Free Biosensing
12. ML-Assisted Flow Velocity Analysis in Paper Microfluidics
13. AI/ML Tools for Single Molecule Data Analysis in Biomedicine
14. ML-Assisted Characterization of In Situ Protein Dynamics at Solid-Liquid Interfaces
15. AI-Assisted Microbial Population Dynamics Modeling
16. AI-Assisted All-in-One Sensor System

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• Dispositivos e materiais electrónicos
• Química analítica
• Aprendizagem mecânica
• Biotecnologia

E-nose; Raman; SERS; lens free imaging; hyperspectral imaging; NIR/optical imaging, paper microfluidics; bioreceptor-free biosensing; single molecule analysis; in-situ protein analysis; microbial population dynamics; all-in-one sensor