Mohammed Eunus Ali

Bangladesh University of Engineering and Technology

Mohammed Eunus Ali has made significant contributions to various fields of study, including machine learning, computer vision, and data science. Their research focuses on developing innovative methods for tasks such as binding affinity prediction, blood glucose level prediction, deepfake detection, trip planning, food value estimation, road safety analysis, and social network analysis. These studies have the potential to improve our understanding of complex phenomena in fields like diabetes control, transportation, and human behavior. By advancing our knowledge in these areas, Ali's work has the potential to inform policy decisions, enhance public health, and optimize urban planning and logistics, ultimately leading to more efficient and effective solutions for real-world problems.