Dilip Mathew Thomas
Graduate StudentDept. of Computer Science and Automation
Indian Institute of Science
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Dilip Mathew ThomasGraduate StudentDept. of Computer Science and Automation Indian Institute of Science |
Brief BiographyI am a Ph.D. candidate in the Department of Computer Science and Automation at Indian Institute of Science. I completed Master of Engineering (M.E.) in Computer Science and Engineering from the Department of Computer Science and Automation, Indian Institute of Science in 2009. Prior to that I worked as a software engineer with Network Appliance, Bangalore and Philips Medical Systems, Bangalore after completing Bachelor of Technology (B.Tech.) degree in Computer Science and Engineering from Regional Engineering College, (now, NIT), Calicut.For more details, see my Curriculum Vitae. Research Interests and PublicationsMy main research interest is in the application of topological and geometric methods for data analysis. I have applied methods based on computational topology and computational geometry for feature extraction, data exploration, and visualization of scientific data (data with a spatial context). In recent years, topological methods for data analysis have shown a lot of promise in studying high dimensional data and big data and this is an area that I am currently exploring. I believe that tools for data analysis designed using topological and geometric methods go a long way in helping domain experts gain insights about their data. |
| My Ph.D. thesis explores the problem of detecting symmetry in scalar fields and its applications to visualization and data exploration. Scientific data often exhibit symmetry and it is important to identify symmetry because it provides deep insights abouts the underlying physical phenomena. The following publications are based on the thesis: |
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Dilip Mathew Thomas and Vijay Natarajan Multiscale symmetry detection in scalar fields by clustering contours IEEE Transactions on Visualization and Computer Graphics (IEEE SciVis 2014), to appear |
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Dilip Mathew Thomas and Vijay Natarajan Detecting symmetry in scalar fields using augmented extremum graphs IEEE Transactions on Visualization and Computer Graphics (IEEE SciVis 2013), 19 (12), 2013, 2663-2672 |
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Talha Bin Masood, Dilip Mathew Thomas, and Vijay Natarajan Scalar field visualization via extraction of symmetric structures The Visual Computer (CGI 2013), 29 (6-8), 2013, 761-771 |
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Dilip Mathew Thomas, and Vijay Natarajan Symmetry in scalar field topology IEEE Transactions on Visualization and Computer Graphics (IEEE Vis 2011), 17(12), 2011, 2035-2044 |
| My M.E. thesis studied the problem of simplification of meshes with guarantees on preservation of user defined substructures within the mesh. This is especially useful in ensuring that important features in the data are not lost during simplification. The following publications are based on the thesis: |
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Dilip Mathew Thomas, Phaneendra K. Yalavarthy, Deepak Karkala, and Vijay Natarajan Mesh simplification based on edge collapsing could improve computational efficiency in near infrared optical tomographic imaging IEEE Journal of Selected Topics in Quantum Electronics, 18(4), 2012, 1493-1501 |
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Dilip Mathew Thomas, Vijay Natarajan, and Georges-Pierre Bonneau Link conditions for simplifying meshes with embedded structures IEEE Transactions on Visualization and Computer Graphics 17(7), 2011, 2007-2019 |