Meet the Team
Shreeraj Jadhav, Ph.D.
Senior R&D Engineer
Kitware North Carolina
Carrboro, NC
Ph.D. in Computer Science
Stony Brook University
M.S. in Computing
University of Utah
B.S. in Mechanical Engineering
University of Pune
Shreeraj Jadhav, Ph.D. is a senior R&D engineer on Kitware’s Medical Computing Team located in Carrboro, North Carolina. He contributes to graphics, medical visualization, and simulation projects for customers and Kitware’s open source platforms. He has worked on the customization of 3DSlicer for academic and research projects (aeva, VPAW); the development of open source frameworks such as VolView, vtk-js, react-vtk, and iMSTK; and support for commercial clients in the development of web visualization applications.
Prior to joining Kitware, Shreeraj worked at Infosys for two years as a software engineer where he developed IT solutions for the health insurance sector. He also worked at GeometricPLM by HCL Technologies for two years as a senior software engineer, where he supported a proof-of-concept team to develop a new orthodontics product.
Shreeraj received his Ph.D. in computer science from Stony Brook University. He received his master’s degree in computing from the University of Utah and his bachelor’s degree in mechanical engineering from the University of Pune.
Awards
Computer Science Chairman Fellowship at Stony Brook University, 2014
“GeoChamp of the Month” presented by GeometricPLM by HCL Technologies, 2013
Best paper award presented by the IEEE Pacific Visualization Symposium, 2011
Harsh Bhatia, Shreeraj Jadhav, Peer-Timo Bremer, Guoning Chen, Joshua A. Levine, Luis Gustavo Nonato, and Valerio Pascucci. “Edge maps: Representing flow with bounded error.” In 2011 IEEE Pacific Visualization Symposium, pp. 75-82. IEEE, 2011
Publications
- S. Jadhav, G. Deng, M. Zawin, and A. Kaufman, "COVID-view: Diagnosis of COVID-19 using Chest CT," IEEE Transactions on Visualization and Computer Graphics, vol. 28, no. 1, pp. 227-237, Jan. 2022. [URL]
- S. Jadhav and A. Kaufman, "MD-Cave: An Immersive Visualization Workbench for Radiologists," IEEE Transactions on Visualization and Computer Graphics, pp. 1-12, 2022. [URL]
- S. Jadhav, M. Torkaman, A. Tannenbaum, S. Nadeem, and A. Kaufman, "Volume Exploration Using Multidimensional Bhattacharyya Flow," IEEE Transactions on Visualization and Computer Graphics, pp. 1-1, 2021. [URL]
- S. Jadhav, K. Dmitriev, J. Marino, M. Barish, and A. Kaufman, "3D Virtual Pancreatography," IEEE Transactions on Visualization and Computer Graphics, pp. 1-1, 2020. [URL]
- S. Jadhav, S. Nadeem, and A. Kaufman, "FeatureLego: Volume Exploration Using Exhaustive Clustering of Super-Voxels," IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 9, pp. 2725-2737, Sep. 2019. [URL]
- S. Boorboor, S. Jadhav, M. Ananth, D. Talmage, L. Role, and A. Kaufman, "Visualization of Neuronal Structures in Wide-Field Microscopy Brain Images," IEEE Transactions on Visualization and Computer Graphics, vol. 25, no. 1, pp. 1018-1028, Jan. 2019. [URL]
- H. Bhatia, S. Jadhav, P. Bremer, Guoning Chen, J. Levine, L. Nonato, and V. Pascucci, "Flow Visualization with Quantified Spatial and Temporal Errors Using Edge Maps," IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 9, pp. 1383-1396, Sep. 2012. [URL]
- G. Di Battista, J. Fekete, and H. Qu, "Guest Editor's Introduction: Special Section on the IEEE Pacific Visualization Symposium," IEEE Transactions on Visualization and Computer Graphics, vol. 18, no. 9, pp. 1381-1382, Sep. 2012. [URL]
- J. Levine, S. Jadhav, H. Bhatia, V. Pascucci, and P. Bremer, "A Quantized Boundary Representation of 2D Flows," Computer Graphics Forum, vol. 31, no. 3pt1, pp. 945-954, Jun. 2012. [URL]
- S. Jadhav, H. Bhatia, P. Bremer, J. Levine, L. Nonato, and V. Pascucci, "Consistent Approximation of Local Flow Behavior for 2D Vector Fields Using Edge Maps," in Topological Methods in Data Analysis and Visualization II. Springer Berlin Heidelberg, 2012, pp. 141-159. [URL]
- H. Bhatia, S. Jadhav, P. Bremer, G. Chen, J. Levine, L. Nonato, and V. Pascucci, "Edge maps: Representing flow with bounded error," in 2011 IEEE Pacific Visualization Symposium, 2011. Winner, Best Paper Award. [URL]
