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Pushing the boundaries of artificial intelligence and mathematical research. Exploring the intersection of deep learning, data science, and innovative applications.
Discover the person behind the innovation
Yasser Salah Eddine Bouchareb is a data scientist and mathematician specializing in deep learning and computational material science. He is currently a Ph.D. candidate in Energy and Materials Sciences at INRS in Montreal, Canada. His research focuses on accelerating the discovery of materials for carbon capture using machine learning and density functional theory (DFT).
Yasser was previously an AI Resident at Google Research, where he worked on deep learning theory and applications. He holds multiple master's degrees in applied mathematics and machine intelligence from AIMS Rwanda, AIMS South Africa, University of Cape Town, and the University of Constantine. His work spans from large-scale satellite-based building detection in Africa to disease classification in crops, and he's an active contributor to the African AI community through events like Deep Learning Indaba.
Academic foundation that shaped my future
Institut national de la recherche scientifique
Montreal, Canada
Pursuing advanced research in energy and materials sciences.
African Institute for Mathematical Sciences
Kigali, Rwanda
Awarded a full scholarship to attend the first African Master in Machine Intelligence in Partnership With Facebook and Google.
University of Cape Town - African Institute for Mathematical Sciences
Cape Town, South Africa
Awarded Victor Rothschild Scholarship reserved for top students.
University of Constantine 1
Constantine, Algeria
Chosen valedictorian out of 26 students.
University of Constantine 1
Constantine, Algeria
Foundation in mathematics and computer science principles.
Journey through research and innovation
Google AI
Accra, Ghana
AI Resident focused on research in Deep Learning - Theory and Applications. Worked on variety of projects, some of which were internal contributions.
Mila - Quebec AI Institute
Montreal, Quebec
Researched segmentation algorithms for pinpointing bridges from satellite images for crisis preparedness. Worked closely with researchers from Intel AI Lab and American Red Cross.
AIMSSEC
Cape Town, South Africa
Taught mathematics to high school learners, contributing to educational development and mathematical literacy.
University of Constantine 1
Constantine, Algeria
Taught first year students Linear Algebra and calculus classes, helping build strong mathematical foundations.
Contributions to the scientific community
Paper, Accra, Ghana, Jul. 2021
We developed model for detecting buildings across the entire continent of Africa, using 50 cm satellite imagery. More details available upon request.
White Paper, Montreal, Quebec, Oct. 2019
We developed deep-learning image-segmentation models that can be utilized to detect bridges in remote areas using satellite imagery.
Master Student Reporter, Black in AI Workshop, Dec. 2019
Developed a deep learning model to classify Cassava leaf's disease among four common diseases and deployed it on the web.
Master Thesis, Cape Town, South Africa, Jun. 2018
Developed a convolutional neural network based model to detect different forms of vegetation in multi-spectrum images taken by drones.
Master Thesis, Constantine, Algeria, Jun. 2017
Used the Universal Moment Generator Function (UMGF) technique to evaluate the reliability of a multi-state system through composition operators.
Sharing insights and knowledge with the community
I'm passionate about sharing knowledge and insights from my research and experience. I'm planning to start a blog covering various topics in AI, machine learning, and research.
Exploring the foundations of neural networks and deep learning architectures
Coming SoonReal-world applications and challenges in computer vision technology
Coming SoonAdvanced techniques for processing and analyzing satellite data
Coming SoonExploring how artificial intelligence revolutionizes material discovery and analysis
Coming SoonHow artificial intelligence is transforming various industries
Coming SoonDeep dive into GNNs for molecular modeling and complex data structures
Coming SoonRecognition for excellence and innovation
Deep Learning Indaba Conference
2019
Won first place at the Snapshot Serengeti Hackathon during the Deep Learning Indaba conference in Nairobi, Kenya.
University of Cape Town
2018
Awarded Victor Rothschild Scholarship reserved for outstanding students at the University of Cape Town.
African Institute for Mathematical Sciences
2018
Awarded full scholarship to attend the first African Master in Machine Intelligence in Partnership With Facebook and Google.
University of Constantine 1
2017
Chosen valedictorian out of 26 students for outstanding academic performance in Probability and Statistics.
Let's connect and explore opportunities together
ysd.bouchareb@gmail.com
bysd.github.io