About Me
Bio
I am an engineer, researcher, and entrepreneur specializing in artificial intelligence, advanced optimization, and data-driven engineering systems. I hold a Ph.D. in Electrical Engineering and a Master’s degree in Electrical Engineering from Prairie View A&M University, Texas, and a Bachelor’s degree in Electrical Power Engineering from Yarmouk University, Jordan.
My work focuses on designing intelligent frameworks that optimize complex systems across energy, infrastructure, and interdisciplinary engineering domains. Throughout my academic and professional career, I have combined rigorous research with practical engineering to develop solutions that are scalable, reliable, and applicable to real-world environments.
Inventor and Research Contributions
I am the inventor of a novel optimization framework known as the Topological Metabolic Analysis–Based Energy Management System (TMA-EMS). This framework adapts Topological Metabolic Analysis (TMA)—a systems-biology methodology—into engineering and energy system applications.
The core innovation lies in transferring a biological systems optimization paradigm into electrical and energy systems, enabling intelligent energy routing, performance optimization, and system-level decision support. This approach differs fundamentally from traditional energy management and optimal power flow methods by emphasizing system topology, flow balance, and constraint-driven optimization.
This invention was developed through extensive research, modeling, and simulation work and forms the foundation of advanced energy management and optimization solutions at Texas Artificial Intelligence Technologies LLC.
Academic and Technical Background
My doctoral research focused on improving photovoltaic (PV) system performance using artificial intelligence-based controllers and optimization techniques. This work resulted in multiple peer-reviewed publications and demonstrated measurable improvements in system efficiency and responsiveness.
During my Ph.D. program, I collaborated with Sandia National Laboratories on advanced computational research involving Topological Metabolic Analysis (TMA). This interdisciplinary work strengthened my expertise in systems-level modeling, optimization, and data-driven decision frameworks, and directly influenced the development of my invention.
Founder and Leadership
Building on my academic research and invention, I founded Texas Artificial Intelligence Technologies LLC to translate advanced optimization and AI methodologies into practical engineering solutions. As Founder and CEO, I lead the development of proprietary models, intelligent optimization frameworks, and applied AI solutions designed to address complex challenges in energy systems and beyond.
My work integrates artificial intelligence, optimization algorithms, statistical modeling, and predictive analytics to deliver actionable insights and measurable performance improvements.
Professional Highlights
• Inventor of the Topological Metabolic Analysis–Based Energy Management System (TMA-EMS)
• Peer-reviewed research in AI-driven photovoltaic optimization and intelligent systems
• Computational research collaboration with Sandia National Laboratories
• Founder and CEO of a U.S.-based artificial intelligence and engineering technology company
Vision and Values
I believe that meaningful innovation emerges when rigorous research is combined with practical application. My work is driven by a commitment to technical integrity, interdisciplinary collaboration, and long-term impact. At Texas Artificial Intelligence Technologies LLC, every solution is designed to deliver clarity, efficiency, and measurable value.
Experience
With more than 18 years of experience across engineering, research, and entrepreneurship, I bring a proven record of leadership and innovation. My expertise spans artificial intelligence integration, optimization of complex systems, renewable energy analytics, and advanced computational modeling.