At the Graphics-Visualization-Computing-Lab at IIIT-Bangalore, we work in the domain of spatial computing and visual analytics. Our focus in research and development in visual analytics, GPGPU (general purpose GPU computing) and graphics. Our interests lie in developing interdisciplinary data models and techniques for visual analytics, involving second-order tensors and matrices for complex networks, spatio-temporal and multivariate data. We work on applications in geosciences/earth observations, biological and brain networks from biomedical data, public health data from household surveys, chart image analysis, and others. We actively work with domain experts, such as oceanographers, GIS practitioners, survey data analysts, biologists, and medical doctors, in devising novel solutions.

GVCL is one of the founding and participating labs of the Center for Data Sciences (CDS) at IIITB. GVCL is closely affiliated with the E-Health Research Center (EHRC) at IIITB.

Currently Trending

[01/2020] The doctoral paper by Reddy Rani Vangimalla titled "Consensus Methods for Network Analysis of Biomedical Data: Case Studies on Brain Functional Connectivity Network and Gene-Gene Association Networks" has been accepted at the doctoral colloquium at the 4th International Conference on Computational Intelligence and Networks (CINE 2020) for presentation during February 27-29, 2020.

[01/2020] The project proposal by Jaya Sreevalsan Nair titled "Data Analysis of Split Questionnaires for Conducting Surveys for Population Studies Using Novel Statistical Measures and Visualizations" has been recommended under the fixed grant scheme, Mathematical Research Impact Centric Support (MATRICS), by the Science and Engineering Research Board (SERB) for funding in January 2020.

(Lab website last updated on: Jan-30-2020 by Jaya Sreevalsan Nair)

© 2020 Jaya Sreevalsan-Nair
Template design by Andreas Viklund / Best hosted at www.svenskadomaner.se