Activity Log

Events along the way.

[09/2025] Aswathi's proposal has been accepted at the IndoML 2025 Graduate Forum.
A. Mundayatt and J. Sreevalsan-Nair, Large-scale hazard susceptibility mapping using machine learning and deep learning techniques, (accepted) as the Graduate Forum, the Sixth Indian Symposium on Machine Learning (IndoML 2025), 2025.
[09/2025] Paper accepted at IEEE ICRM 2025.
K. K. Htay and J. Sreevalsan-Nair, “Attention- and Uncertainty-based Enhancements to U-Net Model for Semantic Segmentation of Aerial Imagery for Land Cover Classification,” (accepted) in the IEEE International Conference on Robotics and Mechatronics, IEEE, 2025.
[08/2025] Article published in IEEE TCBB.
V. S. Bitra, R. R. Vangimalla, and J. Sreevalsan-Nair, “Network-based Diseasome Construction from Multi-omics Data and RadTrix Visualization,” IEEE Transactions on Computational Biology and Bioinformatics (to appear), 2025. https://doi.org/10.1109/TCBBIO.2025.3599771
[07/2025] Jaya attended IEEE IGARSS 2025 to fulfil her roles as the IGARSS Student Paper Competition committee member, IGARSS Symposium Award committee member, and IEEE GRSS Special Awards Chair.
[07/2025] Proposal titled "Change Assessment in Machine Learning-based Multihazard Susceptibility Maps in the HKH Region Using Piecewise Regression Models," by student team, Aswathi Mundayatt, Aditya Priyadarshi, and Ananthakrishna K, won the second prize at the third edition of EO4SDG Mini-projects, and the Earth at Risk image contest organized by the IEEE Geoscience and Remote Sensing Society. IEEE, 2025.
[07/2025] Article published in Elsevier edited book.
J. Sreevalsan-Nair, A. Mundayatt, B. Gnanaraj, A. Thomas, N. C. Kumar, G. G. Sabhahit, S. Joshi, and T. K. Srikanth, “Mental Healthcare in the Times of Climate Change Action and Data Science,” in Data-Driven Insights and Analytics for Measurable Sustainable Development Goals, Elsevier, 2025, pp. 59-82. https://doi.org/10.1016/B978-0-443-33044-5.00010-3. [Online]. Available: Elsevier webpage
[07/2025] Ramesh presented at IEEE EMBC 2025.
R. N. Laveti, J. Sreevalsan-Nair, and T. Srikanth, “EAMF: An Entropy-enhanced Attention-based Ensemble Metric Few-Shot Learning for MRI Image Classification,” in Proceedings of the 2025 47th Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC) (accepted), IEEE, 2025.
[07/2025] Aswathi Mundayatt completed her State of the Art seminar for PhD. Congratulations!
[07/2025] Harshitha Ravindra has graduated. Congratulations, Dr. Harshitha Ravindra!

[06/2025] Harshitha Ravindra completed her PhD thesis defense. Congratulations!
[06/2025] Ramesh Laveti completed his State of the Art seminar milestone for PhD. Congratulations!
[06/2025] Aswathi Mundayatt and Ramesh Laveti completed their Comprehensive Exam, and advanced to candidacy. Congratulations! [06/2025] Article published in JMIR Formative Research.
K. Sama, J. Sreevalsan-Nair, S. Choudhary, S. Nagendra, P. V. Reddy, A. Cohen, U. M. Mehta, and J. Torous, “mindLAMPVis as a Co-designed Clinician-facing Data Visualization Portal to Integrate Clinical Observations from Digital Phenotyping in Schizophrenia: User-centered Design Process and Pilot Implementation,” JMIR Formative Research, vol. 9:e70073, 2025, PMID: 40493647; Preprint at https://preprints.jmir.org/preprint/70073  DOI: https://doi.org/10.2916/70073  [Online]. Available: https://formative.jmir.org/2025/1/e70073
[05/2025] Beryl and Swetha presented at ACM ETRA workshop ETVIS 2025.
B. Gnanaraj, S. Manivasagam, and J. Sreevalsan-Nair, “To the Point: From Dynamic Heatmap Video to Gaze Points,” in Proceedings of the 2025 Symposium on Eye Tracking Research and Applications, ser. ETRA ’25, New York, NY, USA: ACM, 2025. https://doi.org/10.1145/3715669.3725873
[05/2025] Jaya delivered a talk:
Invited Talk at the Faculty Development Program (FDP) on Empowering Vision and Voice through Generative AI and LLM, Alliance School of Advanced Computing, Alliance University, on "Training LiDAR Point Clouds: A Computer Vision Approach," May 06, 2025.
[04/2025] Jaya delivered two talks:
-- Invited Talk at the NCESS-Earth Science Forum (ESF) seminar, National Center for Earth Science Studies (NCESS), on "Machine Learning-based Multi-hazard Susceptibility Mapping," April 30, 2025.
-- Invited Talk at the IEEE GRSS-GSAC IIST workshop, Indian Institute of Space Science and Technology (IIST), on "Uncertainty in Data Science Workflows for Geospatial Data," April 29, 2025.
[04/2025] Jaya presented at IEEE B-HTC 2025.
J. Sreevalsan-Nair, “Data-Driven Framework for Enhanced Flash Flood Preparedness and Building Urban Resilience,” in Proceedings of the 2025 IEEE Bangalore Humanitarian Technology Conference (B-HTC), pp 1-6, IEEE, 2025. https://doi.org/10.1109/B-HTC64616.2025.11116113

[01/2025] Jaya Sreevalsan Nair started her term as Senior Associate Editor of IEEE Transactions of Circuits and Systems for Video Technology (TCSVT).

[12/2024] Jaya delivered a talk:
-- Invited Talk at the one week national workshop on Crop Informatics, Drone Images/Videos, and Generative Pre-Trained Transformers (GPTs) on "AI Applications in Crop Informatics," December 18, 2024
[12/2024] Swetha Manivasagam, PSG Tech joined the lab as an intern.
[11/2024] GVCL and Visualization Graphics Lab (VGL), IISc organized and participated in the Bangalore Vis Workshop.
[10/2024] Jaya delivered a talk:
-- Keynote at Vexcel Open Day India on "A National Agenda – ‘by AI/ML’ and ‘for AI/ML’," October 09, 2024.
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