Department of Software Engineering, Faculty of Science and Information Technology
Rashidul Hasan Hridoy is an adept researcher specializing in machine learning and deep learning applications across diverse domains. With three years of experience in artificial intelligence research and data science, Hridoy has made significant contributions to the field. His expertise encompasses machine learning, deep learning, computer vision, biomedical engineering, natural language processing, and the Internet of Things. Rashidul Hasan Hridoy has authored numerous impactful journal articles and book chapters, focusing on areas such as disease diagnosis, plant recognition, and food analysis using advanced computational techniques. He has presented his work at esteemed international conferences, demonstrating his prowess in applying deep learning models to solve real-world problems. With a growing citation count and an h-index of 6, Rashidul Hasan Hridoy is committed to advancing the field of artificial intelligence and driving innovation in practical applications.