Updates
| July 2024 | Ahmad will be Presenting the work at WCCM 2024 |
About Me
I am currently a Graduate Research Assistant in Prof. Mustafa Mohamad Research Group. Prior to joining Schulich School of Engineering at the Univeristy of Calgary , I received my Bsc. in Computer Engineering under the supervision of Dr. Raed Qadi in Jan 2023 from An-Najah National University.
As an individual with a passion for applied mathematics, optimization, statistics, probability, machine learning, dynamical systems, and programming, I have a deep interest in leveraging these skills to solve real-world problems in engineering and climate science. I am particularly interested in decision-making under uncertainty, data-driven modeling in climate science and manufacturing, stochastic methods in environmental engineering, and scientific machine learning. Driven by a desire to make a positive impact in the world, I am a self-motivated individual who is constantly seeking to expand my skillset and deepen my understanding of these highly in-demand areas. I believe that the key to success lies in the ability to adapt and learn quickly, and I am always looking for opportunities to challenge myself and push beyond my current limits. With a strong background in mathematics and programming, I am well-equipped to tackle complex problems and develop innovative solutions. I believe that effective problem-solving requires a combination of technical expertise, creativity, and collaboration, and I am committed to working collaboratively with others to achieve shared goals. Whether I am working on a research project, developing new algorithms, or building data-driven models, I am always striving to learn more and make a meaningful contribution to the field. If you are interested in learning more about my work and experience, please feel free to explore my personal website.
My research interests lie in the fields of uncertainty quantification, extreme event analysis and prediction, machine learning in dynamical systems, Bayesian regression methods. I am interested in developing innovative techniques to better understand and predict extreme events, quantify and propagate uncertainties, and optimize sensor placement for improved environmental monitoring. I also work on developing and applying machine learning algorithms to analyze and model complex systems, such as climate and environmental systems.
My research is highly interdisciplinary and spans across fields such as climate science, environmental engineering, and applied mathematics.
Resume/CV (updated March 2023)