Sankhesh Jhaveri

Staff R&D Engineer

Medical Computing
Scientific Computing

Kitware New York
Clifton Park, NY

10 Years Service at Kitware

M.S. Biomedical Engineering
Drexel University

B.E. Biomedical Engineering
University of Mumbai

Higher Secondary School Certificate
University of Mumbai

Sankhesh Jhaveri

Sankhesh Jhaveri is a staff R&D engineer on Kitware’s Scientific Computing Team located in Clifton Park, New York. He specializes in various commercial and government projects, especially those related to scientific and medical visualization. Sankhesh works on projects involving virtual and augmented/mixed reality, volumetric visualization, user interface specification, graphics, parallel computing, and other related areas. He helps develop custom applications for our customers based on Kitware’s open source platforms, including VTK, vtk-js, react-vtk-js, ParaView, and 3D Slicer. He has also been actively contributing to and maintaining the rendering capabilities of VTK for over ten years.

Sankhesh has led many projects, overseeing the process from initial customer contact to scope definition and negotiation to technical development toward deliverables. He has deep knowledge in rendering, visualization, and application development. He has made many contributions to Kitware’s open source toolkits including label-based volumetric visualization, volume transfer functions over two different scalars, and customizable graphics shaders. Recently, he added a QtQuick integration module to VTK which allows users and developers to create dynamic applications with fluid VTK visualization of their data. 

In addition to his technical involvement, Sankhesh is an active member of the Open Door Scholarship and Talent Acquisition Committees. He also helps onboard new hires in the role of culture mentor.

Prior to joining Kitware, Sankhesh worked for GE Global Research’s Visualization and Computer Vision Laboratory. He used Kitware’s toolkits to develop an application that would provide domain scientists with novel image segmentation approaches for molecular pathology image analysis. He was also involved in developing a scientific visualization research application for GE’s Aviation and Aerospace divisions.

During his graduate studies, Sankhesh also had the opportunity to intern at ZSX Medical LLC, where he helped develop Zip-Stitch, a minimally invasive surgical closure system.

Sankhesh received his master’s degree in biomedical engineering from Drexel University in 2010. His master’s thesis, “Improving an Automated Mosaicing Algorithm for Wide-Field Microscopy,” involved optimizing image registration and digital correlation algorithms for managing image redundancies; segmenting white light and polarized light images using MATLAB and C++; engineering algorithms for pattern detection, feature tracking, and tile stitching; and programming automatic luminosity variation and distortion control. He received both his bachelor’s degree in biomedical engineering and Higher Secondary School Certificate from the University of Mumbai in 2007 and 2003, respectively. 


  1. A. Chaudhary, S. Jhaveri, A. Sanchez, L. Avila, K. Martin, A. Vacanti, M. Hanwell, and W. Schroeder, "Cross-Platform Ubiquitous Volume Rendering Using Programmable Shaders in VTK for Scientific and Medical Visualization," IEEE Computer Graphics and Applications, vol. 39, no. 1, pp. 26-43, Mar. 2019.
  2. A. Lasso, H. Nam, P. Dinh, C. Pinter, J. Fillion-Robin, S. Pieper, S. Jhaveri, J. Vimort, K. Martin, M. Asselin, F. McGowan, R. Kikinis, G. Fichtinger, and M. Jolley, "Interaction with Volume-Rendered Three-Dimensional Echocardiographic Images in Virtual Reality," Journal of the American Society of Echocardiography, Aug. 2018. [URL]
  3. P. O'Leary, S. Jhaveri, A. Chaudhary, W. Sherman, K. Martin, A. Vacanti, E. Whiting, J. Money, and S. McKenzie, "Enhancements to VTK enabling scientific visualization in immersive environments," in Proceedings of the IEEE Virtual Reality Conference, 2017. [URL]
  4. S. Jhaveri, A. Chaudhary, and L. Avila, "Volume rendering improvements in VTK," Kitware Source, no. 31, Oct. 2014.
  5. S. Jhaveri, "Improving an automated mosaicing algorithm for wide-field microscopy," M.S. thesis, Drexel University, 2010.
  6. S. Jhaveri, M. Shah, and T. Doehring, "Optimization of a novel, wide-field, high resolution optical microscopy system," Drexel University, 2009. [URL]
  7. S. Jhaveri, "A Novel High Resolution, Wide-Field microscopy System for Histology Slide and Fresh Tissue Imaging using Polarized Light," Drexel University, 2008.

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