Mehedi Hasan

Mehedi Hasan is a Lecturer in the Department of General Education at the Canadian University of Bangladesh. He holds both his Bachelor of Science and Master of Science degrees from the University of Dhaka, one of Bangladesh's leading public universities. This marks his first academic appointment, representing the beginning of his teaching and research career in higher education.

His research interests span a diverse and interdisciplinary range of fields, including bioheat transfer, heat and mass transfer, and computational fluid dynamics (CFD). He also maintains a strong interest in machine learning and neural networks, with particular application to meteorology and data analysis, reflecting his effort to bridge classical thermal and fluid sciences with modern computational and data-driven techniques.

Throughout his academic career, Mehedi has been recognized for his scholarly promise and academic excellence. He was awarded the Honors Scholarship by the Ministry of Education in recognition of his outstanding undergraduate performance. He was also selected for the prestigious National Science and Technology (NST) Fellowship by the Ministry of Science and Technology, an honor granted to promising young researchers to encourage and support scientific research in Bangladesh.

At the Canadian University of Bangladesh, Mehedi is committed to building a strong foundation in Mathematics while encouraging students to engage with interdisciplinary and computationally driven approaches to problem-solving. He continues to pursue research at the intersection of thermal sciences, computational modeling, and machine learning, aiming to contribute to both academic scholarship and practical applications in engineering and environmental sciences.