Indo-Swedish joint network project
Robust topological methods for analysis of dynamic large-scale data for modern material design
This is an ongoing collaboration between Indian Institute of Science, Bangalore and Linköping University, Sweden with the goal to develop methods for topological feature extraction, tracking, and comparison for large scale dynamic data from material imaging and molecular simulations integrated in a visual analysis pipeline that aids domain scientists in analyzing their data. This project is funded jointly by the Swedish Research Council (Vetenskapsrådet) and the Department of Science and Technology, India under a joint network grant VR 2018-07085 and DST/INT/SWD/VR/P-02/2019.
People
Principal Investigators
Ingrid Hotz
Professor
Dept. of Science and Technology, Linköping University
Vijay Natarajan
Professor
Dept. of Computer Science and Automation, IISc Bangalore
Project Partners
Mathieu Linares
Associate Professor
Laboratory of Organic Electronics, Dept. of Science and Technology, Linköping University
Tejas G. Murthy
Associate Professor
Dept. of Civil Engineering, IISc Bangalore
Talha Bin Masood
Assistant Professor
Dept. of Science and Technology, Linköping University
Other Contributors
Karran Pandey
Project Assistant
Visualization and Graphics Lab, IISc Bangalore
Alexei Abrikossov
Principal Research Engineer
Dept. of Science and Technology, Linköping University
Farhan Rasheed
Ph.D. Student
Dept. of Science and Technology, Linköping University
Mohit Sharma
Ph.D. Student
Dept. of Computer Science and Automation, IISc Bangalore
Sub-projects
The current research is focused on the following two thrust areas:
- Visual analysis of electronic densities and transitions in molecules
- Morse theory-based segmentation and fabric quantification of granular materials
Publications
Continuous scatterplot operators for bivariate analysis and study of electronic transitions Mohit Sharma, Talha Bin Masood, Signe Sidwall Thygesen, Mathieu Linares, Ingrid Hotz, Vijay Natarajan IEEE Transactions on Visualization and Computer Graphics, 2023 Level of detail exploration of electronic transition ensembles using hierarchical clustering Signe Sidwall Thygesen, Talha Bin Masood, Mathieu Linares, Vijay Natarajan, Ingrid Hotz EuroVis 2022, Computer Graphics Forum, 41(3), pages 333-344, 2022 Morse theory-based segmentation and fabric quantification of granular materials Karran Pandey, Talha Bin Masood, Saurabh Singh, Ingrid Hotz, Vijay Natarajan, Tejas G. Murthy Granular Matter, 24(1), 27, 2022 Segmentation Driven Peeling for Visual Analysis of Electronic Transitions Mohit Sharma, Talha Bin Masood, Signe Sidwall Thygesen, Mathieu Linares, Ingrid Hotz, Vijay Natarajan IEEE Visualization Conference (VIS), New Orleans, USA, pages 96-100, 2021 Scalar field comparison with topological descriptors: Properties and applications for scientific visualization Lin Yan, Talha Bin Masood, Raghavendra Sridharamurthy, Farhan Rasheed, Vijay Natarajan, Ingrid Hotz, Bei Wang EuroVis 2021, Computer Graphics Forum, 40(3), pages 599-633, 2021 Visual analysis of electronic densities and transitions in molecules Talha Bin Masood, Signe Sidwall Thygesen, Mathieu Linares, Alexei I. Abrikosov, Vijay Natarajan, Ingrid Hotz EuroVis 2021, Computer Graphics Forum, 40(3), pages 287-298, 2021 Topological analysis of density fields: An evaluation of segmentation methods Alexei I. Abrikosov, Talha Bin Masood, Martin Falk, Ingrid Hotz MolVA 2021, Computers & Graphics, 98, pages 231-241, 2021 
