Classification and generation of Tifinagh handwritten letters using deep learning models
Presentation at Oujda, UMP, Maison de l'IA, Morocco
CV
Kindly access my PDF resume here (CV).
Education
- High school degree in physics and chemistry, Nador El Jadid Secondary School, 2016
- Bachelor’s degree in mathematics and computer science, Mohammed Premier University, 2021
- 2nd year M.Sc. in data science and intelligent systems, Mohammed Premier University, 2023 (expected)
Skills
- Maths
- Linear algebra, functional analysis, probability and statistics, linear programming, optimization
- Security
- P2P Architectures, Blockchain, chryptography, digital signature, hash method, IDS
- AI
- Logistic regression, deep learning (multilayer perceptron, convolutional neural networks, transformers), dimension reduction (principal component analysis, T-SNE), automatic natural language processing (NLP), image classification, data visualization, generative adversarial networks, generative ai
- Big Data
- Hadoop, MapReduce, Hive, Hbase
- Conception
- Graphic design, UI/UX, UML, Merise (database design)
- Codes
- Python, C/C++, JAVA, JAVA EE, PHP, Html, CSS, SQL, LaTeX, Shell, dart
Talks
Contribution to the recognition and automatic generation of Tifinagh handwritten letters using deep learning models
Presentation at Nador, FPN, MASI Laboratory, Morocco
Contribution to creation, classification and generation of a new hand-written Tifinagh alphabet lettres dataset using ANN, CNN and GAN
Presentation at Al Hoceima, ENSAH, International Multi-Conference on “Organization of Knowledge and Advanced Technologies”, Morocco
Tifiwrite: AI-based solution for teaching Tifinagh writing
Presentation at Tetouan, International Workshop Industry 4.0, Digital Transformation and Innovation”, Morocco
Commencement Address for the Inauguration of the FPN Artificial Intelligence and its Applications Club (I2A)
Address at Nador, FPN, Computer Science Department, Morocco