We work on applications in geosciences/earth observations, biological and brain networks from biomedical data, public health data from large-scale population/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. GVCL is a participating lab in the SIG at IIITB for "Spatio-temporal Modeling, Simulation, Analytics, and Visualization (STeMSAV)"
Our GitHub account is https://github.com/GVCL (More details on our code and data repository are coming soon!)
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Trending in the lab
[08/2022] S. C. Daggubati, J. Sreevalsan-Nair, and K. Dadhich, “BarChartAnalyzer: Data Extraction and Summarization of Bar Charts from Images,” SN Computer Science (accepted), pp. 1–30, 2022.
[08/2022] J. Sreevalsan-Nair and A. Jakher, “CAP-DSDN: Node Co-association Prediction in Communities in Dynamic Sparse Directed Networks and a Case Study of Migration Flow,” in Proceedings of the 14th International Conference on Knowledge Discovery and Information Retrieval (accepted), INSTICC, SciTePress, 2022.
[08/2022] Dhvani Katkoria has submitted her thesis for examination.
[07/2022] H. Ravindra presented our paper and her doctoral research at IV2022.
[07/2022] J. Sreevalsan-Nair presented our paper at DeLTA 2022.
[07/2022] Rani, Siri Chandana and Satendra graduated formally at the IIITB Convocation Ceremony. Hearty congratulations!
[07/2022] R. R. Vangimalla and J. Sreevalsan-Nair, “Communities and Cliques in Functional Brain Network Using Multiscale Consensus Approach,” IEEE Transactions on Neural Systems and Rehabilitation Engineering (TNSRE), vol. 30, pp. 1951–1960, 2022 (doi).
[06/2022] Siri Chandana Daggubati has presented our paper at ICCS 2022.
[06/2022] H. Ravindra and J. Sreevalsan-Nair, "Composition of Geospatial Visualizations for Scale-aware Views of Multiple Outcome Variables in Population Surveys," in Proceedings of the 26th International Conference on Information Visualization IV2022 - AIMH track - Visualization and Artificial Intelligence for Medicine, Healthcare, and Social Good (accepted), GraphicsLink, July 2022.
[06/2022] D. Katkoria and J. Sreevalsan-Nair, “RoSELS: Road Surface Extraction for 3D Automotive LiDAR Point Cloud Sequence,” in Proceedings of the 3 rd International Conference on Deep Learning Theory and Applications DeLTA (accepted), INSTICC, July 2022. (Best Paper Award Nomination)
[05/2022] D. Katkoria and J. Sreevalsan-Nair, “RoSELS: Road Surface Extraction for 3D Automotive LiDAR Point Cloud Sequence,” in Proceedings of the 3 rd International Conference on Deep Learning Theory and Applications (accepted), INSTICC, 2022.
[05/2022] Siri Chandana Daggubati has successfully defended her MS thesis titled "Chart Decode: An Automated System for Data Table Extraction and Summary Generation from Chart Images."
[04/2022] S.Agarwal, F. Beck, U. Ghosh, and J. Sreevalsan-Nair, "CiteVis: Visual Analysis of Overlapping Citation Intents as Dynamic Sets," poster presentation at the 15th IEEE Pacific Visualization Symposium (PacificVis) 2022, April 2022
[03/2022] S. C. Daggubati and J. Sreevalsan-Nair, “ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects,” in Proceedings of the International Conference on Computational Science, Computational Science – ICCS 2022 (accepted), 2022.
[01/2022] Siri Chandana Daggubati has submitted her M.S. by Research thesis for examination.
Opportunities in the lab:
Currently there are no openings. Nonetheless, we are always in the lookout for motivated and talented students and researchers to join our lab. Do write to jnair_at_iiitb_ac_in with your CV and expression of interest. [Opportunities-archive]
[This lab website has been modified last by Jaya Sreevalsan Nair on September 12, 2022.]