Prof Krikor Ozanyan FInstP FIET FHArp SMIEEE

• Wearable inertial sensor systems for gait recognition.
• New modalities and portable instruments for fluorescence monitoring: crude oil and derivatives, organic species, etc.
• Controlled receive aperture sensing with optical/gamma detectors.
• Semiconductor devices and materials for optical sensing (UV-VIS-IR-THz).
• Optical multichannel measurements in chemical reactors.

Imaging

• Guided-Path Tomography and “Magic Carpet” applications in healthcare, agriculture and biometrics.
• Spectroscopic Optical Tomography with scanning sources.
• Image reconstruction from a limited number of views.
• Parallel computation centre-of-projection imaging of fast system dynamics.
• Tomography of temperature, concentration and pressure of combustion products.
• Optically Excited Fluorescence Auto-Projection Tomography (UV-VIS).
• 2D and 3D mapping of Laser-Induced Incandescence form soot particles.
• Multi-channel THz tomography.

Signal processing

• Deep learning convolutional neural networks for spatio-temporal sensor fusion.
• Internet-of-Sensors: embedded data to information transfer in machine2machine sensor networks.
• Data analysis, incl. machine learning, of fluorescence spectra from complex systems for process monitoring
• Spatial mapping with two in-plane opposite camera views of scanned light-sheets
• Algorithms for extraction of system properties from temporal signals.
• Multi-channel Digital Signal Processing (DSP) system architectures for hard-field tomography.
• Reconfigurable multi-channel DSP measurement modalities (lock-in detection, balanced ratiometry, etc.) using programmable logic.
• Tomography reconstruction embedded software for dedicated multichannel DSP systems.