I am an accomplished engineer and researcher specializing in Artificial Intelligence (AI), advanced computational solutions, and data analytics. I hold a Ph.D. in Electrical Power Engineering and a Master’s degree in Electrical Engineering from Prairie View A&M University, Texas, as well as a Bachelor’s degree in Electrical Power Engineering from Yarmouk University, Jordan.
My Ph.D. research focused on optimizing photovoltaic (PV) systems by integrating Artificial Intelligence (AI) controllers, including Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN), with DC-DC converters. Through innovative AI-driven methodologies, I developed advanced Maximum Power Point Tracking (MPPT) techniques that significantly improved solar energy efficiency and system responsiveness. This work resulted in multiple peer-reviewed publications, highlighting my contributions to advancing renewable energy technology through AI integration.
During my Ph.D. program, I collaborated with Sandia National Laboratories, a world leader in cutting-edge scientific research. My work at Sandia involved Topological Metabolic Analysis (TMA), focusing on optimizing microbial pathways and advancing biochemical and microbial process engineering. This experience showcased my ability to tackle complex scientific challenges and reinforced my expertise in computational modeling and interdisciplinary collaboration.
Building on my academic and professional achievements, I founded Texas Artificial Intelligence Technologies LLC to deliver innovative solutions for complex challenges in energy, biotechnology, and beyond. Leveraging advanced statistical methodologies, machine learning, data analytics, predictive modeling, and algorithm optimization, my team and I excel in analyzing complex datasets, uncovering patterns, and delivering actionable insights. Our expertise encompasses techniques such as regression analysis, clustering, classification, time-series forecasting, decision trees, neural network modeling, real-time data processing, feature engineering, and anomaly detection.
These capabilities are critical for addressing the demanding requirements of both federal and commercial contracts, where precision, reliability, and innovation are essential. At Texas Artificial Intelligence Technologies LLC, my mission is to harness cutting-edge technology and interdisciplinary collaboration to deliver impactful, data-driven outcomes for clients across government and industry sectors.
Professional Highlights
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Innovative Researcher:
Pioneered the integration of Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN) with DC-DC converters, achieving groundbreaking efficiency improvements in photovoltaic systems. -
Collaborative Problem Solver:
Partnered with Sandia National Laboratories to conduct cutting-edge research in Topological Metabolic Analysis (TMA), optimizing microbial pathways to advance biochemical and microbial process engineering. -
Entrepreneurial Leader:
As the Founder of Texas Artificial Intelligence Technologies LLC, I am committed to leveraging cutting-edge AI technologies to transform industries.
Vision and Values
I believe in the power of interdisciplinary collaboration and innovative technologies to solve pressing global challenges. At Texas Artificial Intelligence Technologies LLC, my team and I are dedicated to delivering measurable value through data-driven insights and AI solutions tailored to each client’s unique needs.
Quality Results
At Texas Artificial Intelligence Technologies LLC, delivering measurable, high-quality results is at the core of everything we do. Our expertise ensures that each project exceeds client expectations and meets the highest industry standards.
Key Achievements:
- Efficiency Improvements:
Achieved significant performance gains in photovoltaic (PV) systems by integrating Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN) with DC-DC converters. - Data-Driven Insights:
Delivered actionable insights through advanced computational models, enabling clients to make informed decisions with confidence. - Collaborative Impact:
Optimized microbial pathways to advance biochemical engineering and microbial process innovation in collaboration with Sandia National Laboratories.
Commitment to Excellence:
- Attention to Detail: Every solution is rigorously tested and refined to meet client objectives.
- Cutting-Edge Technologies: Leveraging state-of-the-art AI tools and methodologies for unparalleled results.
- Client-Centric Approach: Delivering tailored solutions designed to address specific challenges and drive success.
Experienced
With over 18 years of experience in engineering, research, and entrepreneurship, I bring a proven track record of innovation and leadership. My expertise spans diverse fields, from advanced Artificial Intelligence (AI) applications to renewable energy systems and data-driven problem-solving.
Key Areas of Expertise:
- Artificial Intelligence Integration: Successfully implemented AI solutions, including Artificial Neural Networks (ANN) and Recurrent Neural Networks (RNN), to enhance system efficiencies and decision-making processes.
- Renewable Energy Optimization: Pioneered research in photovoltaic (PV) systems, achieving groundbreaking efficiency improvements through innovative AI-driven solutions.
- Research Excellence: Collaborated with Sandia National Laboratories on advanced computational projects, focusing on optimizing microbial pathways through Topological Metabolic Analysis (TMA) to advance biochemical and microbial process engineering.
- Entrepreneurship and Leadership: Founded Texas Artificial Intelligence Technologies LLC to deliver tailored AI solutions that transform industries.
My experience reflects a commitment to solving complex challenges with innovative strategies and measurable outcomes.