Dr. Abdullah Al Mehedi

My research interests are centered around the integration of Artificial Intelligence (AI), Machine Learning (ML), and Deep Learning (DL) within the domains of hydrology and remote sensing. With a robust foundation, I specialize in leveraging these computational technologies to advance water resource management and urban hydrology. Throughout my doctoral research and professional engagements, I have developed and implemented advanced models on cloud-computing platforms, utilizing both satellite imagery and sophisticated hydrologic modeling techniques. My expertise extends to creating innovative solutions for urban hydrology challenges, combining remote sensing data and machine learning algorithms to enhance predictive accuracy and operational efficiency.

I am proficient in a variety of programming languages including Python, MATLAB, R, C++, JavaScript, Java, and SQL, which underpin my research and modeling work. Additionally, my proficiency with major ML/DL libraries, coupled with extensive experience in utilizing cloud computing platforms like AWS, GCP, and Microsoft Azure, complements my technical skill set.