Activity Log
[06/2024] S. Mathai, P. Krishnan, and J. Sreevalsan Nair, “Understanding Graphical Literacy Using School Students’ Comprehension Strategies,” Contemporary Education Dialogue, pp. 1–35, 2024. (doi)
[06/2024] Jaya Sreevalsan Nair delivered an invited Talk at the Faculty Development Program on Data Exploration, Feature Engineering and Visualization,
RMK College of Technology, on "Data Visualization," "Graph Visualization," and "Feature Engineering," June 03, 2024.
[05/2024] GVCL had a lunch outing for bidding farewell to Rikin Ramachandran, and meeting with lab alumni.
[05/2024] GVCL actively participated in 3D Vision Summer School co-organized by IIIT Bangalore and IIIT Hyderabad, for which Jaya Sreevalsan Nair was one of the organizing committee members. (url)
[05/2024] Maanasa Rajaraman, Integrated MSc Theoretical Computer Science Student, PSG College of Technology, has joined the lab as an intern. [05/2024] Ancymol Thomas has successfully completed her Ph.D. comprehensive examination. Congratulations!
[05/2024] D. Katkoria, J. Sreevalsan-Nair, M. Sati, and S. Karunakaran, “ME-ODAL: Mixture-of-Experts Ensemble of CNN Models for 3D Object Detection from Automotive LiDAR Point Clouds,” in Proceedings of 5th International Conference on Deep Learning Theory and Applications (DeLTA) (accepted), INSTICC, Springer, 2024.
[05/2024] Jaya Sreevalsan Nair delivered an invited Talk at the HAL Management Academy for a session on Mastering the Art of Research Paper Writing
for Designers, "The Research Journey: From Concept to Completion," May 03, 2024.
[04/2024] J. Sreevalsan-Nair and A. Mundayatt, “Evolution of Data-driven Single- and Multi-Hazard Susceptibility Mapping and Emergence of Deep Learning Methods,” IOP Conference Series: Earth and Environmental Science (accepted), April 2024.
[04/2024] Jaya Sreevalsan Nair delivered an invited Talk at the GIS Cell, MNNIT Allahabad, "Making Sense of LiDAR Point Clouds," April 12, 2024.
[03/2024] GVCL actively participated in IIIT-B research fest, RISE 2024. (url)
[03/2024] Jaya Sreevalsan-Nair has been nominated as an Associate Editor of IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing (JSTARS).
[03/2024] A. Mundayatt and J. Sreevalsan-Nair, “Scaling up Study Area Size in Flood Susceptibility Mapping,” in Proceedings of 2024 IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (accepted), IEEE, 2024.
[03/2024] Jaya Sreevalsan Nair delivered a keynote talk titled "Advances in Learning Models for Multi-Hazard Susceptibility Mapping" at the 2nd International Conference on Contemporary and Sustainable Infrastructure (ICCSI-2024) at SJBIT, Bengaluru on March 15, 2024.
[03/2024] Jaya Sreevalsan Nair delivered a talk titled "The Role of AI in Personalized Mental Healthcare" at the Workshop on Digital Technologies in Psychiatry organized by NIMHANS, University of Newcastle and NEESAMA during March 07-08, 2024.
[03/2024] S. Mathai, P. Krishnan, and J. Sreevalsan Nair, “Understanding Graphical Literacy Using School Students’ Comprehension Strategies,” Contemporary Education Dialogue (accepted), March 2024.
[02/2024] Jaya Sreevalsan Nair was a participating member of the BIS Committee for "Airborne LiDAR" for its public/stakeholder consultation done on February 27, 2024.
[02/2024] GVCL has now physically shifted to the Ramanujan building, IIIT Bangalore and is now at R303.
[01/2024] Jaya Sreevalsan Nair is the IEEE GRSS Special Awards Committee Chair for 2024.[01/2024] Jaya Sreevalsan Nair is the IEEE GRSS Special Awards Committee Chair for 2024.
[12/2023] Jaya Sreevalsan Nair is a member of the 2024 IEEE Geoscience and Remote Sensing Symposium (IGARSS 2024) student paper competition awards committee.
[12/2023] Harshitha Ravindra presented her open seminar talk on her thesis on grouping strategies of population healthcare survey data for visualization and analysis.
[12/2023] Jaya Sreevalsan Nair is the General Chair of 2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS 2023), successfully conducted at IIIT Bangalore. Aswathi Mundayatt presented her paper at the conference and co-organized the WIE and DEI events.
[11/2023] Jaya Sreevalsan-Nair is a co-author of a paper on data mining of multispectral data processing with a focus on remote sensing satellite images, which has been accepted in the Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery. (doi)
[11/2023] Our paper on statistical modeling of recovery period of COVID-19 patients along with the epidemiological modeling has been accepted in De Gruyter's Computational and Mathematical Biophysics. The paper is available in open access.
[09/2023] Beryl Gnanaraj has completed her comprehensive exam successfully and is now a Ph.D. candidate.
[09/2023] Prakhar Rastogi and Karanveer Singh presented our paper on SunburstChartAnalyzer at CGVC 2023. Our paper is now available at Eurographics Digital Library.
[09/2023] Jaya Sreevalsan-Nair has accepted the invitation to join the editorial board of PLOS Complex Systems as an academic editor. PLOS Complex Systems is a new global Open Access journal for all things complex systems.
[08/2023] Our paper on SunburstChartAnalyzer has been accepted in the Computer Graphics and Visual Computing (CGVC) conference.
[07/2023] Dhvani Katkoria has officially graduated with a MS by Research degree.
[07/2023] D. Katkoria and J. Sreevalsan-Nair, “Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences,” in Deep Learning Theory and Applications: Revised Selected Papers from Third International Conference DeLTA 2022, Portugal, Chapter 6, CCIS volume 1858, Springer Cham, 2023. (doi) (book-link)
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