Senior R&D Engineer
Mr. Sankhesh Jhaveri is a part of the Scientific Visualization team at Kitware and is a developer for VTK and ParaView. He has a wide range of experience, most recently as a consultant at GE’s Visualization and Computer Vision lab in Niskayuna. He developed applications for molecular pathology image analysis for the joint-venture project between Eli Lilly and GE (http://seekingalpha.com/article/48647-ge-eli-lilly-team-up-on-cancer-research). While at GE, Sankhesh’s work mainly focused on developing useful research applications, making extensive use of ITK, VTK, VXL and Qt libraries. Sankhesh’s five years of biomedical background helps him bring the best to the scientific visualization development team.
Sankhesh graduated from Drexel University, Philadelphia, PA in March 2010 with a thesis and a patent on his profile. His 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 stiching; and programming automatic luminosity variation and distortion control. Sankhesh is a co-inventor for the patent “High Speed and Large Scale Microscopic Imaging,” which describes a novel multi-modal microscopic imaging system for high speed and large throughput imaging of histology slides, as well as thick fresh tissue specimens. He holds a Bachelor’s degree in biomedical engineering from Dwarkadas J. Sanghvi College of Engineering in India, ’07, where he ranked first in his college and second in the University. During his undergraduate days, he also had a chance to intern at the biomedical department of the Asian Heart Hospital and Research Center.
- "Enhancements to VTK enabling scientific visualization in immersive environments," in 2017 IEEE Virtual Reality (VR), 2017, pp. 186--194. ,
- Volume Rendering Improvements in VTK," Oct. 2014. , "
- Improving an automated mosaicing algorithm for wide-field microscopy," iDEA: Drexel E-repository and Archives, Apr. 2010. , "
- Optimization of a novel, wide-field, high resolution optical microscopy system," iDEA: Drexel E-repository and Archives, Jul. 2009. , "
- A novel high resolution, wide-field microscopy system for histology slide and fresh tissue imaging using polarized light," iDEA: Drexel E-repository and Archives, May 2008. , "