I'm a Lecturer and PhD researcher in Computer Science with the Faculty of Information Technology at Applied Science Private University (ASU), Amman, Jordan. My research interests include optimization algorithms, reinforcement learning, game-theoretic modeling, artificial intelligence in healthcare, and virtual reality–based rehabilitation systems.
I have authored and co-authored peer-reviewed publications focusing on surrogate-based optimization, intelligent decision-making frameworks, and AI-driven serious games for education and rehabilitation. My current PhD research explores adaptive AI and optimization techniques for personalized rehabilitation and intelligent systems. I'm actively involved in interdisciplinary research collaborations and open-source academic initiatives.
- 🔬 PhD Candidate in Computer Science
- 🧬 Research: Optimization algorithms, metaheuristics, reinforcement learning, game theory
- 🏥 AI in Healthcare: Stroke rehabilitation, VR-based therapy, intelligent serious games
- 💻 Creator of PyRADE - Python Differential Evolution framework
- 🌱 Open-source contributor and collaborative researcher
A powerful and flexible Python framework for Differential Evolution optimization. PyRADE provides:
- 🎯 Multiple DE variants and mutation strategies
- ⚡ Efficient NumPy-based implementation
- 🔧 Easy-to-use API for custom optimization problems
- 📊 Built-in benchmarking and visualization tools
- 📖 Comprehensive documentation and examples
from pyrade import DifferentialEvolution
# Simple optimization example
de = DifferentialEvolution(objective_func, bounds, popsize=50)
result = de.optimize()
I'm always interested in collaborating on research projects, discussing optimization algorithms, or contributing to open-source initiatives.
