Biography
In 2021, I received a PhD in Computer Science from the University of Verona with a dissertation on appearance measurement and analysis using multi-light image collections. During my Ph.D. research, I used deep-learning and machine-learning techniques to solve different material-appearance analysis problems. My research interests and publications lie in the Measurement, Analysis, and Modeling of Material Appearance, Machine Learning, Statistical analysis, and modeling and Reflectance Transformation Imaging for Cultural Heritage applications. From September 2021 to January 31, 2023, I worked as a Research Fellow in the Department of Cultures and Civilizations at the University of Verona as the RESP Digital Humanities Project Officer. Working as a RESP digital officer, I realized a web content management system for a project that can be edited by the principal investigator and a data management system, where researchers can store, retrieve, and export different archaeological data of Roman emperors from Augustus to Tetrarchs. Currently, I am a research fellow in the Department of Philosophy and Cultural Heritage at Ca'Foscari University of Venice.
Download my resumé.
Interests
- Machine Learning
- Computer Vision
- Deep Learning
- Measurement, analysis, and modeling of material appearance
Education
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PhD in Computer Science, 2021
University of Verona
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MSc in Computer Science, 2014
Ca'Foscari University of Venice
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BSc in Computer Science, 2007
Hawassa University
Skills
NumPy/PyTorch
Vectorizer
Matlab
Numeric Computing
Python
Programming
JavaScript
web Scripting
React
JavaSript library
R
Statistical Computing
C++
Programming
Flask
Web development
Statistics
Green Thumb
Experience
Research Fellow
Research Scholarship Holder
Research Fellow
Lecturer
Taught introduction to information storage and retrieval.
Research Fellow
Pre-sales engineer
Programmer
Accomplishments
Full Stack Web Development Bootcamp with React and Python
See certificate
Deep Learning Specialization
Machine Learning
Recent Posts
Projects
Recent & Upcoming Talks
Recent Publications
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(2020).
SynthPS: a Benchmark for Evaluation of Photometric Stereo Algorithms for Cultural Heritage Applications.
The Eurographics Association.
(2019).
Crack Detection in Single-and Multi-Light Images of Painted Surfaces using Convolutional Neural Networks.
The Eurographics Association.
(2018).
Artworks in the spotlight: characterization with a multispectral LED dome.
IOP Conference Series: Materials Science and Engineering.
Contact
- tinsae.gebrechristos@gmail.com
- +39 3207256679
- venice, Veneto 30171
- Tinsae Gebrechristos Dulecha