The Medical Imaging and Artificial Intelligence (MEDIMAI) Research Center provides research-intensive educational opportunities across multiple academic levels, emphasizing the integration of engineering, computer science, and medical applications. Educational activities at the MEDIMAI Research Center are highly focused on producing the next generation of academic and industrial research leaders in the rapidly evolving field of medical imaging. Depending on the project, trainees acquire hands-on experience in the development, operation, and optimization of specialized medical imaging equipment, as well as in the development of diagnostic tools, advanced image analysis software, and other medical imaging resources. Trainees also benefit from the center鈥檚 collaborations with area medical centers.
Graduate Research Training (Ph.D. and M.S.)
The core educational function of MEDIMAI Research Center is to involve students that pursue advanced degrees, typically through the 91重口 Tech departments of Biomedical Engineering (BME), Electrical and Computer Engineering (ECE), Computer Science (CS), or related departments. Graduate students pursuing a Ph.D. or M.S. degree will conduct their research under the direct mentorship of faculty in the center鈥檚 focus areas, work alongside other students and postdocs, and gain expertise in the design of new algorithms, development of novel hardware, or application of AI in medical imaging.
Postdoctoral Research Fellowships
The MEDIMAI Research Center provides training for Ph.D. graduates looking to transition to independent research careers. Postdocs gain specialized experience in medical imaging research. Faculty at MEDIMAI Research Center provide mentorship to help postdocs secure early career grants and establish their own research portfolios.
Undergraduate Research Experiences
Undergraduate students are also given the opportunity to participate in research at the MEDIMAI Research Center and gain hands-on experience during the academic year or through summer fellowships. Undergraduate students benefit from working in a center that naturally blends engineering (hardware/algorithms), computer science (AI/deep learning), and medicine (neuroimaging, oncology, cardiology, and radiology), and are exposed to a wide array of research areas within the field of medical imaging that helps them identify their personal area of interest.