As part of College of Engineering’s commitment to promoting high-quality scientific research and achieving the Sustainable Development Goals (SDGs), particularly Goal 4 (Quality Education) and Goal 9 (Industry, Innovation and Infrastructure), Dr. Hasanein Ali Talib Al-Othman, a lecturer in Department of Mechatronics Engineering, in collaboration with a research team from University of Sousse, Tunisia, has published a scientific research paper entitled “Applying Explanatory Artificial Intelligence Using LIME to Analyze Arabic Online Handwriting Recognition Models”.

The paper was published through IEEE Computer Society, a distinguished scientific publisher specializing in computer science and information technology fields. The publication appears in a scientific source indexed in the Scopus database and ranked within the second quartile (Q2) according to the 2024 CiteScore Rank in the fields of Computer Networks and Communications and Information Systems, with the following metrics: CiteScore 3.1, SJR 0.291, and SNIP 0.433.

The research highlights the application of Explainable Artificial Intelligence (XAI) techniques, particularly the LIME method, in analyzing deep learning models used for Arabic online handwriting recognition. The study aims to interpret the decision-making process within Convolutional Neural Network (CNN) models by identifying the most influential features and regions involved in recognizing Arabic handwriting patterns.

Furthermore, the research demonstrates the importance of enhancing the transparency and reliability of artificial intelligence models in Arabic handwriting recognition applications. This contributes to a better understanding of model performance, strengthens users’ trust in AI systems, and opens broader opportunities for the adoption of explainable AI techniques in the fields of computer vision, deep learning, and pattern recognition.

Research Link:
https://www.scopus.com/pages/publications/105005708797