I am currently completing my B.Sc. in Computer Science at Al al-Bayt University in Amman, Jordan (GPA 3.33, class of 2025), where I have built a solid foundation in algorithms, data structures, object-oriented design, and machine learning fundamentals. My passion for artificial intelligence led me to lead a project titled “Revolutionizing Traffic Planning: Unifying ML Insights and Dijkstra’s Algorithm for Path Optimization,” which explored energy-efficient route prediction for smart-city systems.
Over the past two years, I have earned certifications in machine learning, SQL, Git and GitHub, and generative AI, and completed the Google IT Support Professional Certificate. I have honed my competitive coding skills on Codeforces and represented Al al-Bayt University in the IEEEXtreme EPICODE 2023 competition.
My research focuses on Machine Learning and Learning Algorithms and Training, with an emphasis on developing lightweight, robust models for resource-constrained hardware. I am particularly interested in federated learning for distributed systems and novel regularization techniques to improve generalization on small datasets.
As an active volunteer and team leader, I contributed to Student Team Afaq’s graphic-design initiatives and coordinated outreach activities, earning a certificate of appreciation for my leadership. I am fluent in Arabic and proficient in English, and I thrive in collaborative, multicultural environments.
At GC-CompuSys 2026, I look forward to presenting my work on distributed training strategies for resource-constrained systems and engaging with fellow researchers on practical model-compression and optimization techniques.
