Sensor signal processing

My research in sensor signal processing covers a variety of interdisciplinary projects, integrating innovative approaches to measurement, data acquisition, and advanced signal analysis techniques. The projects are often interdisciplinary and involve collaboration with researchers from different fields, including physics, engineering, computer science, and medicine.

Many of these projects involve:
- Designing experimental measurements, including analyzing the parameters and limitations of measurement systems.
- Data acquisition implementation that involves the end-to-end integration of sensor signal acquisition with the suitable ADCs or digitizers.
- Signal processing that ranges from traditional digital and statistical methods to advanced machine learning and deep learning techniques.
- Post-processing, visualization, and result analysis.

Measurement sensors

Gamma-ray spectroscopy: compensation of hardware limitations with sophisticated signal processing methods
Infra-red spectroscopy: medical applications
Acoustic sensors: fluid mechanics
Current sensors: cyber-security applications
Photodetectors: cyber-security and optical communication

Communication sensors

Software-defined radios: cyber-security and communication channel modeling

Imaging sensors

Thermal imaging: medical applications
Ultrasound imaging: medical applications
Hyperspectral imaging: remote sensing