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
[10/2022] Dhvani Katkoria has graduated with an MS by Research degree. Congratulations!
[10/2022] Our paper on migration flow analysis using dynamic sparse directed networks, CAP-DSDN, has been nominated for best paper award at KDIR 2022.
[10/2022] Our paper on BarChartAnalyzer has been published in SN Computer Science. The full-text is made available for public view by Springer. (doi)
[09/2022] Jaya delivered an invited talk at the 2022 International Workshop on Remote Sensing and Societal Applications, IEEE GRSS Kolkata Chapter, “Probabilistic Analysis Using Ensemble Methods in Geoscientific Applications,”
[09/2022] Dhvani Katkoria has successfully defended her MS thesis titled "Spatiotemporal Analytics of LiDAR Data for Environmental Perception to Assist Autonomous Driving."
[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] Jaya delivered an invited talk in the CS Katha Bartha Series, School of Computer Science, NISER Bhubaneshwar, ``Multiscale Computational Thinking in Science and Engineering.''
[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] Our “RoSELS: Road Surface Extraction for 3D Automotive LiDAR Point Cloud Sequence,” has been nominated for best paper award at DeLTA 2022.
[05/2022] Jaya delivered an invited talk at the Student Paper Presentation Competition in IEEE GRSS Bangalore Section, ``Academic Research: How to Train Your Dragon.''
[05/2022] Jaya delivered a talk at IIITB in the Samvaad Talk Series, ``Multiscale Computational Thinking in Data Science.''
[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 October 16, 2022.]