Strategic Objectives
• Master the physics of light-matter interaction for precise material ID.
• Decode complex signal processing algorithms for real-time analysis.
• Implement cutting-edge X-ray and Infrared sensor architectures.
• Optimize sensor fusion to identify multi-layered composite materials.
The Core Challenge
Traditional waste management relies on surface-level sorting, leading to massive contamination and lost resource value because we cannot see what materials are actually made of.
01
The Science of Light
02
Hyperspectral Architecture
03
The Chemistry of Waste
04
Near-Infrared Fundamentals
05
Short-Wave Infrared Precision
06
X-Ray Fluorescence Analysis
07
X-Ray Transmission Imaging
08
The Optical Path
09
Photon Detection Systems
10
Imaging Spectrometers
11
Illumination Strategies
12
Signal Pre-processing
13
Chemometrics and Classification
14
Machine Learning in Sensing
15
Dimensionality Reduction
16
Thermal Challenges
17
Spectral Calibration
18
Sensor Fusion Techniques
19
Real-Time Characterization
20
The Future of Sensors
21
Environmental Impact Systems
Explore Research Ecosystem
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