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A passionate Machine Learning researcher looking forward to solving the challenging problems in Industry & Academia
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NTNU Norway & Universite de Bourgogne France
Data Scientist
June 27, 2026 – Present
Arsalan_Thesis_Defence
May 31, 2026 – Present
This repository contains my PhD defence presentation. I wrote my thesis titled "Contributions on acquisition and analysis of reflectance transformation imaging for cultural heritage applications".
View ProjectBeyond-Relighting
September 12, 2025 – November 1, 2025
Beyond-Relighting — GitHub repository
View ProjectHands-on-Demosaicing-experiment-with-Python
September 19, 2023 – September 27, 2023
This code provides a tutorial to understand the demosaicing and experience the pipeline of demosaiking. Bilinear Interpolation is used in this tutorial
View ProjectH-infinity-Control-design-for-Inverted-Pendulm-system
March 16, 2021 – March 16, 2021
Loop shaping is used to design a controller for cart pendulum system
View ProjectImage-Processing-using-Gabor-Filter
March 15, 2021 – March 15, 2021
Gabor filter is used to detect the texture in an image.
View ProjectDeepLearing-for-segementation-of-COVID19-in-lungs
March 14, 2021 – March 14, 2021
DeepLearing-for-segementation-of-COVID19-in-lungs — GitHub repository
View ProjectInteractive-Segmentation-and-3D-Reconstruction-of-Tumor-and-Prostate-Lobes
May 4, 2020 – September 16, 2023
Segmentation of Prostate by Active Contour
View ProjectCultural Fit Analysis
The candidate's projects demonstrate a strong academic and research background, particularly in image processing, computer vision, and control systems. While these areas are relevant to data science, the projects are predominantly personal/academic and lack explicit mention of collaborative team environments or business-oriented problem-solving. The current role as 'Data Scientist' at NTNU Norway & Universite de Bourgogne France, starting in the future (2026), suggests a strong research focus rather than industry experience. This might indicate a cultural fit more aligned with R&D or academic data science roles rather than typical industry product development roles. The breadth of skills is good for a research-oriented role, but the lack of diverse project types (e.g., web applications, large-scale data engineering) limits the assessment of fit for broader industry data scientist roles.
Soft Skills & Operational Fit
The candidate's project descriptions are concise, indicating a direct communication style. The diversity of projects suggests an ability to work on varied technical challenges. However, without specific psychometric or English test scores, a comprehensive assessment of soft skills and operational fit is not possible.