Activity Log

[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.
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.
Our paper “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.

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