Dr. Mohammad Mahmudur Rahman Khan joined Meharry School of Applied Computational Sciences as an assistant professor of data science and computer science in the School of Applied Computational Sciences in October 2024. He is committed to advancing the healthcare system through innovative machine-learning approaches in medical data analysis. By leveraging multimodal data and advanced imaging techniques, Dr. Khan aims to make impactful contributions to patient-centered care.

The focus of Dr. Khan’s research is advancing medical imaging and surgical outcomes through machine learning and data-driven approaches. He is interested in developing innovative algorithms that improve diagnostic accuracy and guide surgical decisions, emphasizing deep learning applications for transforming complex imaging data into precise clinical insights. Dr. Khan is also interested in synthetic CT generation, creating frameworks to produce realistic medical images. His work is dedicated to making machine learning solutions practical and impactful in healthcare, bridging cutting-edge AI with meaningful clinical applications that support improved patient care and procedural accuracy.

Dr. Khan earned his Ph.D. in electrical and computer engineering from Vanderbilt University in 2024, where he contributed to the development of innovative methods that enhance preoperative planning and diagnostic capabilities, particularly in cochlear implant procedures. Additionally, he developed a synthetic CT generation framework, enabling the production of realistic CT images. Dr. Khan’s research has provided valuable tools for improving surgical outcomes and demonstrates the potential of machine learning to transform medical imaging and personalized healthcare.