We are thrilled to welcome Dr. Ali Uneri to the BME faculty in the Johns Hopkins School of Medicine. As a Research Associate faculty member, Dr. Uneri works in areas of image-guided surgery, machine learning approaches for 3D image registration and reconstruction, and development of novel surgical robotics systems.
Dr. Uneri earned his PhD in Computer Science at Johns Hopkins University working with Professor Jeff Siewerdsen in the I-STAR Lab and Professor Russ Taylor at the LCSR. His dissertation included work on novel image registration methods (including the Known-Component Registration “KC-Reg” method for 3D2D registration). He is also the architect of the TREK software platform for systems integration in surgical guidance and mentored undergraduate research assistants in the development of an image-guided robot for spine surgery.
In his postdoctoral work, Dr. Uneri worked to improve intraoperative 3D image quality on the Medtronic O-Arm, including development of model-based 3D image reconstruction (MBIR) for low-dose imaging and methods for metal artifact reduction (the Known-Component “KC-MAR” method for metal artifact reduction). He also mentored a PhD student in the development of an image-guided robot for trauma surgery – an area of ongoing interest.
Dr. Uneri has had tremendous impact in the I-STAR Lab, including many aspects of the computing architecture for 3D imaging and registration. As faculty in BME, he is building a strong program in image-guided surgical robotics and continues to be a tremendous collaborator on multiple projects.
Congratulations, Dr. Uneri — and welcome to the faculty in Hopkins BME!