Profile Details

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Hire Dr. Feras A.

Belgium

USD 120 /hr

Postdoctoral Researcher in Geometric Deep Learning. Expertise in computer vision, machine learning.

Profile Summary

I am a researcher with a focus on multimodal images, deep learning, and computer vision in combination with classical image processing methods to achieve efficient and effective solution. I am interested in problem decoupling and the implementation of both objective and subjective evaluation methods. My current research focus is on graph and geometrical deep learning techniques, which I believe can bring new solutions to real-world problems in these fields.

Subject Matter Expertise

• ★ Machine Learning
• ☆ Artificial Intelligence
• ☆ Deep Learning
• ☆ Computer Vision
• ☆ Statistics
• ☆ Bioinformatics

Services

• Writing
• Research
• Consulting
• Data & AI
• Product Development

Writing Technical Writing

Research Gray Literature Search, Systematic Literature Review

Consulting Scientific and Technical Consulting

Data & AI Statistical Analysis, Algorithm Design-Non ML, Data Visualization

Product Development Formulation

Work Experience

Université libre de Bruxelles (ULB)

- Present

Education

PhD candidate (LISA)

Université Libre de Bruxelles

February 2016 - Present

MSc in Criminology

Université Libre de Bruxelles

September 2015 - September 2020

MSc in Applied Engineering - Computer Science/Critical Systems

Université Libre de Bruxelles

September 2013 - September 2015

BSc in Computer Engineering

Philadelphia University

September 2003 - September 2008

Certifications

• Certification details not provided.

Publications

JOURNAL ARTICLE

Jurgen Vandendriessche, Laurent Segers, Bruno da Silva, An Braeken, Kris Steenhaut, Abdellah Touhafi, Olivier Debeir, Feras Almasri(2021). XCycles Backprojection Acoustic Super-Resolution . Sensors. 21. (10). p. 3453. {MDPI} {AG}

feras almasri, Jurgen Vandendriessche, Laurent Segers, Bruno da Silva, An Braeken, Kris Steenhaut, Abdellah Touhafi, Olivier Debeir (2021). XCycles Backprojection Acoustic Super-Resolution . Sensors.

PREPRINT

(2020). AIM 2020 Challenge on Real Image Super-Resolution: Methods and Results . European Conference on Computer Vision Workshops, 2020.

CONFERENCE PAPER

(2020). Thermal Image Super-Resolution Challenge - PBVS 2020 . 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).

Rafael E. Rivadeneira and Angel D. Sappa and Boris X. Vintimilla and Lin Guo and Jiankun Hou and Armin Mehri and Parichehr Behjati Ardakani and Heena Patel and Vishal Chudasama and Kalpesh Prajapati and Kishor P. Upla and Raghavendra Ramachandra and Kiran Raja and Christoph Busch and Feras Almasri and Olivier Debeir and Sabari Nathan and Priya Kansal and Nolan Gutierrez and Bardia Mojra and William J. Beksi(2020). Thermal Image Super-Resolution Challenge - PBVS 2020 . 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW). {IEEE}

(2020). Robust Perceptual Night Vision in Thermal Colorization . Proceedings of the 15th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.

(2018). RGB Guided Thermal Super-Resolution Enhancement . 2018 4th International Conference on Cloud Computing Technologies and Applications (Cloudtech).

BOOK CHAPTER

(2019). Multimodal Sensor Fusion in Single Thermal Image Super-Resolution . Computer Vision – ACCV 2018 Workshops.

Feras Almasri, Olivier Debeir(2019). Multimodal Sensor Fusion in Single Thermal Image Super-Resolution . 418--433Springer International Publishing