Riestiya Zain Fadillah
About
Riestiya Zain Fadillah completed her bachelors degree in 2020 from Pertamina University in Computer Science. In 2021, she completed Apple Developer Academy program, focusing on iOS app development and project management.
In 2024, she graduated from the Computational Colour and Spectral Imaging (COSI), an Erasmus Mundus Joint Master Degree (EMJMD) program. The title of her work is "Expanding Optical Depth of Field (DoF) via Deep Learning Techniques in combination with Multi-colour Light". This work was a collaboration project between COSI and COGNEX under the supervision of Dr. José Fernandez Dorado (COGNEX), Dr. Esther Oteo Lozano (COGNEX), and Prof. Javier Hernández Andrés (University of Granada).
Prior to joining NTNU as a PhD candidate, she was employed as a Machine Learning Engineer at Gringgo.
Competencies
Publications
Uncertainty Quantification in Video Distortion Classification Under Dataset Shift
Automated thread counting in archaeological textiles using pulse-based feature extraction
2026
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Fadillah, Riestiya Zain;
Gigilashvili, Davit;
Havgar, Margrethe;
Vedeler, Marianne;
Hardeberg, Jon Yngve.
(2026)
Automated thread counting in archaeological textiles using pulse-based feature extraction.
The European Physical Journal Plus
Academic article
2025
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Fadillah, Riestiya Zain;
Amirshahi, Seyed Ali;
Pedersen, Marius;
Beghdadi, Azeddine Boutkhil.
(2025)
Uncertainty Quantification in Video Distortion Classification Under Dataset Shift.
Academic chapter/article/Conference paper
Journal publications
-
Fadillah, Riestiya Zain;
Gigilashvili, Davit;
Havgar, Margrethe;
Vedeler, Marianne;
Hardeberg, Jon Yngve.
(2026)
Automated thread counting in archaeological textiles using pulse-based feature extraction.
The European Physical Journal Plus
Academic article
Part of book/report
-
Fadillah, Riestiya Zain;
Amirshahi, Seyed Ali;
Pedersen, Marius;
Beghdadi, Azeddine Boutkhil.
(2025)
Uncertainty Quantification in Video Distortion Classification Under Dataset Shift.
Academic chapter/article/Conference paper