Photonics · Laser Technology · Computer Vision · AI
PHYSICS + SENSORS + COMPUTATION
I am an Applied Physics master’s student combining photonics with computational methods. My work spans optical measurement, spectroscopy and image processing, with a focus on machine learning and deep learning. I approach technical problems holistically, connecting the underlying physics and optical sensing systems with data processing and data-driven methods.
Explore selected work
As an Applied Physics student, I translate theory into practice through project-based work in university and professional R&D. The projects below span the experimental workflow, from implementation and measurement to system characterization, data processing and evaluation.
Investigating hardness analysis of 80CrV2 steel using laser-induced breakdown spectroscopy. The research project compares spectral analysis and machine-learning methods; the available samples limited the conclusions.
Spectroscopy · Material analysis · Machine learningView projectRecommissioning and characterizing a setup intended to generate soft X-rays from laser-induced plasma. Experimental work covered a pulsed laser, vacuum equipment, an ethanol jet and the detection setup.
Laser systems · Vacuum · Soft X-raysView projectDeveloping and characterizing an optical measurement setup for 3D reconstruction from focus stacks. MATLAB image processing connects focus information to depth maps.
Optical metrology · Imaging · MATLABView projectWorking-student R&D in a laser-based metal-sorting environment. My work combined measurement data acquisition, image processing and neural networks using MATLAB, Python and PyTorch.
Computer vision · Applied AI · RecyclingView project
A collaborative university project combining a spectrometer and a wide-angle sky camera on a Raspberry Pi. Python software provides instrument control, live visualization and automated, time-stamped data logging. Comparison measurements with a reference spectrometer supported the system’s characterization.
Raspberry Pi · Python · Spectroscopy · Imaging · Data acquisitionView projectResearch on camera systems, computer vision and AI-based image processing.
Industrial image processing and machine learning in a laser-based sorting context; data acquisition, preprocessing, CNNs and technical documentation.
Characterization and measurement of stepper motors.
Koblenz University of Applied Sciences / University of Koblenz · focus on laser technology and optical technologies.
Koblenz University of Applied Sciences, Remagen · bachelor thesis on optical 3D reconstruction via Shape-from-Focus.
My work starts with physical systems: optical setups, cameras, lasers and measurement conditions. I then use programming and data analysis to extract a reliable result, test assumptions and understand where a method reaches its limits.
Python, MATLAB and PyTorch appear across the documented projects; my interests span photonics, optical metrology, spectroscopy and applied AI.
Based in Bonn, Germany.
skraemer1@hs-koblenz.de