* Member, NX Freeform Modeling Core Group

* Research, prototyping and product development in the areas of computational geometry, shape analysis and optimization, segmentation, machine learning, and advanced clustering algorithms for computer aided design, reverse engineering, and 3D printing applications

* Member, Modeling & Simulation Research Group, Automation and Control Technology Field

* Research and Development in the areas of computational geometry and statistical shape analysis, segmentation, machine learning, and advanced clustering algorithms with emphasis on medical and industrial applications

* Technical lead for the execution of various large scale projects related to healthcare and industry (Surgical Planning Systems, Adaptive Digital Manufacturing, Automation in Computer Aided Design, Industrial Inspection and Measurement Systems)

* Member, Solid and Visual Modeling Program, Imaging and Visualization GTF

* Research and Development in the areas of geometric modeling and statistical shape analysis, machine learning, computer vision, segmentation, and advanced clustering algorithms with emphasis on medical and industrial applications

* Research in the areas of medical image and morphological analysis, with particular emphasis on registration, segmentation, pattern recognition, and high dimensional manifold learning

* Computer aided diagnosis: Groupwise registration for the analysis of pathological data, and machine learning techniques for the detection of gray matter loss in human brains

* Tumor segmentation and classification: Algorithm for the segmentation and classification of breast tumors using dynamic contrast enhanced images

* MRI and DTI based atlas construction

* Validation with large population studies for disease investigation such as Alzheimer, BLSA, Schizophrenia Experience working with human and mouse brain multimodality datasets