We conduct scientific and engineering research. Below is a selection of our most recent projects. For detailed information, please follow the external links.

AI-Based Determination of the Refractive Index in Nasal Spray-Like Aerosols:
In nasal sprays and similar applications, the sprayed substances may mix unevenly during the atomization process. This can result in droplets containing varying amounts of different material. To study this dynamic, we developed an AI-based method to differentiate transparent droplets by measuring their individual refractive indices.

Integrated Method for the Characterization of Complex Droplets:
Analyzing the light scattering properties of complex droplets presents a significant challenge. We addressed this with an integrated measurement approach based on the collective analysis of a stream of light scattering signals. This allows for determining droplet size and velocity even in high-density sprays with poor signal structure or low signal-to-noise ratios.

AI-Driven Hardware Reduction for Particle Analysis:
In this project, we developed a novel instrument combined with an AI-based approach to create a more compact and cost-efficient device for dynamic particle characterization in sprays.

Comparative Analysis of LDT and TSTOF Techniques:
This project focused on identifying the fundamental differences between laser diffraction (LDT) and time-shift time-of-flight (TSTOF) methods to validate their respective applications. Experimental investigations highlighted each method’s advantages and limitations and helped define their effective operating ranges.

Precision Measurement of Size and Axis Decentering in Rotating Components:
We developed a laser-based measurement instrument for industrial quality control of components, tools, and rotating parts. It achieves micrometer-level accuracy when measuring size, shape, and axis misalignment in large rotating objects starting from 100 mm. The system maintains high precision regardless of object size.