Summary
Oraib Almegdadi is a Ph.D. candidate and scientific researcher specializing in AI-driven water quality monitoring, combining satellite remote sensing with in-situ measurements to build scalable environmental assessment models. With 13 years of experience across academia, research institutes, and industry, he blends geoinformatics, machine learning, and spatial data analysis into actionable insights for environmental resilience. He holds dual master’s degrees in Geoinformatics (Germany) and Computer Science (Jordan) and is a CMU Portugal-affiliated Ph.D. scholar co-supervised by leading researchers at NOVA, CMU, and LNEC. Past roles at institutes like ISAS and industry positions in data science and GIS demonstrate his ability to move from exploratory research to production-ready analytics. Based in Lisbon, he brings a curiosity-driven approach—always asking “why” in the data—which fuels interdisciplinary solutions for complex water and environmental challenges.
12 years of coding experience
3 years of employment as a software developer
Master's degree, Geoinformatics, Master's degree, Geoinformatics at University of Münster
High School, Scientific Stream, 95.5%, High School, Scientific Stream, 95.5% at Rabaa Al Adawiya Secondary Girl School
Master's degree, Computer Science, Master's degree, Computer Science at The University of Jordan
Bachelor of Applied Science (B.A.Sc.), Computer Science, V.Good, Bachelor of Applied Science (B.A.Sc.), Computer Science, V.Good at Balaq'a Applied University
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at NOVA School of Science and Technology
English, Arabic, German