1 / publications paper & software
paper // manuscript under review software v1.5.2 · oct 2026
SINEX TRF Studio: an open-source network diagnostic tool for SINEX solutions and terrestrial reference frames
Dossas et al.

Python suite of diagnostic tools to analyse and evaluate terrestrial reference frames. Advanced and parallelised parsing engine able to handle large data. Validated end-to-end processing pipelines and automated filtering algorithm.

source code software doi:10.5281/zenodo.22548394
Python PyQt6 NumPy SINEX ITRF GPL-3.0
2 / experience positions

Undergraduate Researcher

2024 to 2026
International Hellenic University

Developed a novel analysis suite in Python to evaluate global terrestrial reference frames from SINEX files. Engineered a robust parsing mechanism to ingest and structure complex, multi-station GNSS data. Designed complex algorithms utilizing advanced geodetic theory, which led to SINEX TRF Studio.

3 / education academic degrees

MSc in Artificial Intelligence & Data Analytics

oct 2026 to present
University of Macedonia · Department of Applied Informatics

M.Eng. in Surveying & Geoinformatics Engineering

completed jul 2026
International Hellenic University · integrated master, EQF level 7
4 / skills methods & tooling
programming
algorithmsoptimisationneural networks
languages
PythonC++R
mathematics
linear algebralinear problemsBayesian inferencereference frames and adjustment theory
other
geodesyspatial analysisGISCAD
5 / certificates NVIDIA DLI

Fundamentals of Accelerated Computing with CUDA Python

NVIDIA Deep Learning Institute · CUDA Python Developer · GVM9WyX6QniheB9rSzg6nA

Disaster Risk Monitoring Using Satellite Imagery

NVIDIA Deep Learning Institute · TPtajwPPQ9qVBOkFJ5pVhg