Iosif, or Joseph, as he likes being called, is a Machine Learning professional specialised in GIS technologies. But, first and foremost, he is an Engineer who enjoys planning and building projects from the ground up.
He studied Spatial Planning & Development Engineering at the Aristotle University of Thessaloniki, from which he received his integrated M.Eng. in 2020. There, he learned research methodologies and how to deeply analyze and evaluate the living space in economical, social and environmental terms using GIS technologies, Data Science and Machine Learning.
During the writing of his thesis he became increasingly interested in Machine Learning algorithms, programming and computer vision. As a result, upon graduation he invested his time in learning the ins and outs of various ML algorithms and studied Deep Learning through the lectures and paradigms of popular DL advocates such as Andrew Ng and Andrej Karpathy. His favorite Data Science lecturer, however, is Kilian Weinberger.
Along his career he has learned first hand about deploying large scale image processing and computational algorithms in Linux environments. He has successfully solved various Data Science problems in Computer Vision and is proficient with most model architectures and problem formulations for the domain. Lately, he has become increasingly skilled in MLOps engineering and aspires to take on designing and developing full scale ML systems in Computer Vision and Natural Language Processing contexts.
Working on a data-fusion project called msi2slstr, across three public repositories, msi2slstr, msi2slstr-training and msi2slstr-datagen. This project aims to build a foundation for developing and deploying models for the fusion of Sentinel-2 and Sentinel-3 satellite images of the copernicus program.
Worked on Machine-Learning-based Forest and Water Quality monitoring solutions at EarthPulse as a Data Scientist and Python Developer.
Worked on Computer-Vision-based Building Height modeling problems at RSLab as a Research Assistant and AI professional.
Worked as a volunteer Market Analyst at MiCreate, using geoinformatics and web scraping tools to plan expansion areas for campaigns.
Received M.Eng. from School of Spatial Planning and Development & Started coding.
As part of my studies in the School of Spatial Planning & Development I authored the thesis “Land Cover Analysis using OBIA: a case study of Oraiokastro, Chalkidona and Delta” , which I defended in 2020.
The term Object-Based in Image Analysis refers to the scientific notion of analyzing an image in generally meaningful chunks or pieces (i.e. groups of pixels), by first segmenting it. Image segmentation as a preprocessing step in image analysis was an almost natural evolution of the classic pixel-based approach long before Convolutional Neural Networks became accessible.
There are plenty of algorithms...
Drop me an email if you are interested in my work!