Aleksander Dabek

Co-defined technical specifications for a large-scale vertical farming research facility, including environmental control, sensing systems, and safety requirements. Designed and implemented key subsystems: LED lighting (intensity and light recipes), CO₂, temperature, and humidity monitoring. Contributed to development of automation infrastructure, including integration of internal lift systems and robotic platforms. Developed data pipelines for multispectral imaging and sensor time-series acquisition. Opera

Processed, classified, and vectorized LiDAR point clouds for geospatial analysis. Collaborated within remote sensing teams on large-scale datasets. Supported delivery of complex projects for corporate clients. Performed QA/QC procedures to ensure data accuracy and consistency.

I am a PhD student at Politecnico di Milano (ranked 7th globally in mechanical engineering), specializing in vertical farming technologies. My research focuses on utilizing hyperspectral cameras for advanced plant monitoring, enabling innovative approaches to optimize crop health and productivity.

Project: Document Scanner with use of OpenCV, numpy, sift, RANSAC, that automatically detect document, compute homeography and then transform image.