I finished my Ph.D. in the Department of Computer Science at The Johns Hopkins University, Baltimore, MD. I was part of the Computational Interaction and Robotics Lab and the NSF Engineering Research Center for Computer-Integrated Surgical Systems and Technology (ERC-CISST). My advisor was Dr. Greg Hager. I was also co-advised by Dr. Christine Lorenz at Siemens Corporate Research.
Presently, I'm a Staff Scientist and IP Manager in the SYNGO US R&D Technology with Siemens Healthcare.
Broadly, my research interests are in the cross functional areas of computer vision, image computing, machine learning, medical imaging, image-guided surgery and interventions and robotics.
At Siemens, I have been involved in the area of robust image computing, interpreation and analytics. More specifically, development of exemplar-based learning algorithms for primitive (points, lines, planes, surfaces) localization and tagging; and it's fusion with clustering, registration, segmentation, prediction/voting and data modeling techniques for robust and efficient extensions. These solutions were instrumental in improving and automating Siemens scanners and medical image-reading workflows.
My PhD dissertation work involved development of image-based tracking methods, specifically for image-guided surgery and improved motion compensation for Magnetic Resonance (MR) Imaging of cardiac structures like coronary arteries and valves. My thesis can be downloaded here.
For more information regarding some of the research projects that I had been involved with during my PhD, please visit my research page.
Contact Info:51 Valley Stream Parkway, E51
Siemens Medical Solutions
Malvern, PA 19355
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