Activity Log Archive
[03/2024] GVCL actively participated in IIIT-B research fest, RISE 2024. (url)
[03/2024] Jaya Sreevalsan-Nair has been invited 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)
[05/2023] Beryl Gnanaraj presented our paper at ETRA 2023 --
B. Gnanaraj and J. Sreevalsan-Nair, “EyeExplore: An Interactive Visualization Tool for Eye-Tracking Data for Novel Stimulus-Based Analysis,” in Proceedings of the 2023 Symposium on Eye Tracking Research and Applications, ser. ETRA ’23, Tubingen, Germany: ACM, 2023. (doi)
[05/2023] S. Singh and J. Sreevalsan-Nair, “Visual Exploration of LiDAR Point Clouds,” in Advances in Scalable and Intelligent Geospatial Analytics: Challenges and Applications, Chapter 12, K. Kurte, S. Durbha, J. Sanyal, L. Yang, S. Chaudhari, U. Bhangale, and U. Bharambe, Eds., Florida, USA: CRC Press, 2023, p. 19. (doi)
[05/2023] J. Sreevalsan-Nair, Co-Association Matrices in Ensemble Clustering: Diverse Applications and Extensions, Preprint available at SSRN, May 2023. (url)
[02/2023] H. Ravindra and J. Sreevalsan-Nair, “A Methodology for Integrating Population Health Surveys Using Spatial Statistics and Visualizations for Cross-sectional Analysis,” SN Computer Science, vol. 4, no. 224, pp. 1–19, 2023. (full-text view) (doi)
[02/2023] Jaya Sreevalsan Nair was an invited panelist for a discussion dedicated for young leaders, entrepreneurs, scholars, etc. to showcase their working experience and contribution to the growth of remote sensing and allied technologies in India and abroad, at the Golden Jubilee Celebration of the Indian Society of Remote Sensing (ISRS) and the the Journal of the Indian Society of Remote Sensing (JISRS), at the Indian Institute of Remote Sensing (IIRS), Dehradun, on February 24, 2023. The 8-member panel had participation from academia, industry (startups) and government agencies and the discussion was moderated by Prof. Bharat Lohani (IIT Kanpur).
[02/2023] Jaya Sreevalsan Nair presented our paper at IVAPP 2023 --
J. Sreevalsan-Nair, “On Metavisualization and Properties of Visualization,” in Proceedings of the 18th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications - Vol 3, IVAPP, INSTICC, SciTePress, 2023, pp. 230–239, ISBN: 978-989-758-634-7. (doi)
[02/2023] Jaya Sreevalsan Nair is a general chair of 2023 IEEE India Geoscience and Remote Sensing Symposium (InGARSS 2023)
[01/2023] Jaya Sreevalsan Nair continues as the Chair of IEEE GRSS Bangalore Section (chapter website)
[01/2023] Jaya Sreevalsan Nair continues as an Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology for another 2-year term (until December 2024). (Editorial Board of TCSVT)
[12/2022] H. Ravindra, and J. Sreevalsan-Nair, "A Methodology for Integrating Population Health Surveys Using Spatial Statistics and Visualizations for Cross-sectional Analysis," SN Computer Science (accepted for publication), 2023.
[12/2022] J. Sreevalsan-Nair will continue her second term as the Associate Editor of IEEE Transactions on Circuits and Systems for Video Technology (TCSVT) for 2023-24.
[12/2022] J. Sreevalsan-Nair delivered an invited talk at the Workshop on Geo-Spatial Data Science, Dept. of Mathematics and Statistics, IIT Tirupathi,
"Understanding Uncertainty in Learning Methods for Geospatial Data Analysis."
[11/2022] J. Sreevalsan-Nair delivered a talk at IIITB in the Samvaad Talk Series, "Extracting geometry to understand the data from automotive-
environment-sensing."
[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 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.
[12/2021] Jaya Sreevalsan Nair delivered talk at ATAL Faculty Development Program (FDP) on Foundations of Data Science and Machine Learning, titled “Heterogeneous Urban Data Analysis and Visualization."
[12/2021] Jaya Sreevalsan Nair gave an invited talk at the one-week Short Term Training Program (STTP) on Computational Intelligence in Remote Sensing, on “Deep Learning for Airborne LiDAR Point Cloud Analysis for Remote Sensing."
[12/2021] Jaya Sreevalsan Nair gave an invited talk at the Geospatial Intelligence Symposium, IEEE GRSS Mumbai Chapter, on “Deep Learning for Airborne LiDAR Point Cloud Analysis for Remote Sensing.”
[11/2021] Jaya Sreevalsan Nair is a member of the GRSI (Graphics Replicability Stamp Initiative) International Evaluation Committee.
[11/2021] Satendra has completed his thesis oral examination for his M.S. by Research. Congratulations, Satendra, on graduation!
[11/2021] Ragesh Thangavel presented our paper at APSAR 2021.
[11/2021] Reddy Rani Vangimalla presented our paper at EMBC 2021.
[11/2021] Jaya Sreevalsan Nair gave an expert talk at RCOEM ACM Student Chapter, on “Multiscale Methods for Spatial Data Analysis in Diverse Applications."[10/2021] Jaya Sreevalsan-Nair presented our paper at STAG 2021.
[10/2021] Published chapter -- J. Sreevalsan-Nair, K. Dadhich, and S. C. Daggubati, "Tensor Fields for Data Extraction from Chart Images: Bar Charts and Scatter Plots," in Topological Methods in Data Analysis and Visualization VI, Ingrid Hotz, Talha Bin Masood, Filip Sadlo, and Julien Tierny (Eds.). Springer, Cham, 2021, pp 219-241. (doi). Preprint at arXiv (2020), October 2020, https://arxiv.org/abs/2010.02319
[10/2021] J. Sreevalsan-Nair, P. Mohapatra, and S. Singh, “IMGD: Image-based Multiscale Global Descriptors of Airborne LIDAR Point Clouds Used for Comparative Analysis,” in Italian Chapter Conference 2021 - Smart Tools and Applications in Computer Graphics, (STAG 2021) (accepted), Eurographics Association, October 2021
[10/2021] Ankita Christine Victor presented our paper at ISVC 2021.
[09/2021] A. C. Victor and J. Sreevalsan-Nair, “Building 3D Virtual Worlds from Monocular Images of Urban Road Traffic Scenes,” (accepted) in the Proceedings of the 16th International Symposium on Visual Computing (ISVC), October 2021
[08/2021] Reddy Rani Vangimalla has completed her thesis oral examination for her Ph.D. Congratulations, Dr. Reddy Rani Vangimalla!
[08/2021] Ancy Thomas and Beryl Gnanaraj have joined the Doctor of Philosophy program.
[07/2021] Satendra Singh has submitted his Master of Science by Research thesis.
[07/2021] Singh, S., and Sreevalsan-Nair, J., “Adaptive Multiscale Feature Extraction in a Distributed System for Semantic Classification of Airborne LiDAR Point Clouds,” IEEE Geoscience and Remote Sensing Letters (to appear), July 2021.
[07/2021] R. R. Vangimalla and J. Sreevalsan-Nair, “HCNM: Heterogenous Correlation Network Model for Multi-level Integrative Study of Multi-omics Data for Cancer Subtype Prediction,” (accepted) in the Proceedings of the 43rd International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), November 2021.
[07/2021] GVCL is a participating lab with VGL, IISc, in organizing Bangalore Vis Workshop 2021. Satendra Singh and Harshitha Ravindra presented their ongoing research at the meet.
[07/2021] Jaya Sreevalsan Nair is an Editorial Board Member for Earth Sciences Series, Encyclopedia of Mathematical Geosciences, edited by B. S. D. Sagar, Q. Cheng, J. McKinley, and F. Agterberg, in 2022. Her contribution on "Data Visualization" will be appearing in the same collection.
[06/2021] Contributions by Jaya Sreevalsan Nair on "LiDAR" and "Multiscaling" will be appearing in Earth Sciences Series, Encyclopedia of Mathematical Geosciences, edited by B. S. D. Sagar, Q. Cheng, J. McKinley, and F. Agterberg, in 2022.
[06/2021] The book "Data-Centric Living: Algorithms, Digitization, and Regulation," edited by Prof. V. Sridhar has appeared on Routledge website. We have a chapter in the book:
V. Sridhar, J. Sreevalsan-Nair, P. R. Ghogale, and R. R. Vangimalla, “Sharing and Use of Non-Personal Health Information: Case of the COVID-19 Pandemic,” in Data Centric Living: Algorithms, Digitization and Regulation (in press), V. Sridhar, Ed., 1st ed., Routledge India, 2022, ch. 8, ISBN : 9780367536534.
[06/2021] Siri Chandana Daggubati and Komal Dadhich presented our paper at ICCS 2021.
[06/2021] Komal Dadhich has completed her Master of Science by Research thesis, and will be graduating at the IIITB Convocation 2021. Congratulations!
[04/2021] Komal Dadhich and Siri Chandana Daggubati presented our paper at IMPROVE 2021.
[04/2021] Harshitha Ravindra presented our paper, and Jaya Sreevalsan Nair served as a session chair at GISTAM 2021.
[04/2021] Reddy Rani Vangimalla has submitted her Ph.D. thesis and joined ZS Associates India Pvt. Ltd.
[03/2021] Our paper on ScatterPlotAnalyzer has been accepted at ICCS 2021.
[02/2021] Our papers have been accepted in IMPROVE 2021 and GISTAM 2021.
[02/2021] Jaya Sreevalsan Nair gave talks at Spatial Talks Webinar and DBT MANAV - The Human Atlas Initiative Data Science Webinar.
[02/2021] Reddy Rani Vangimalla gave the open seminar on "Consensus Clustering in Correlation Networks for Biomedical Data Analysis."
[01/2021] Harshitha Ravindra gave the state-of-the-art seminar on " Statistical Analysis and Visualization of Large-scale Population Surveys. "
[01/2021] Komal Dadhich and Pragyan Mohapatra have joined Cisco (Bangalore) as interns.
[01/2021] Satendra Singh presented his paper "A Distributed System for Optimal Scale Feature Extraction and Semantic Classification of Large-scale Airborne LiDAR Point Clouds" co-authored with Jaya Sreevalsan Nair at ICDCIT 2021.
[01/2021] Jaya Sreevalsan Nair is an Associate Editor of IEEE Transactions of Circuits and Systems for Video Technology (IEEE TCSVT Editorial Board) for a 2-year term.
[01/2021] Jaya Sreevalsan Nair is the Chapter Chair of IEEE GRSS Bangalore Section for a 2-year term.
[01/2021] Jaya Sreevalsan Nair is a member of the expert committee for "Capacity Building and Training on Geospatial Science and Technology," National Geospatial Programme (NGP), Department of Science and Technology, Government of India.
[12/2020] The project website NFHS4Vis is up. This project has been sponsored by IBM Shared University Grant, and executed by Harshitha Ravindra and Beryl Gnanaraj.
[12/2020] Satendra Singh presented his paper "A Distributed System for Multiscale Feature Extraction and Semantic Classification of Large-scale LiDAR Point Clouds" co-authored with Jaya Sreevalsan Nair at InGARSS 2020.
[12/2020] Astha Jakher presented her paper "Community Detection in Migration Flow Networks" co-authored with Jaya Sreevalsan Nair at Urban Complex Systems at CCS 2020.
[10/2020] R. Vangimalla, and J. Sreevalsan-Nair, “Comparing Community Detection Methods in Brain Functional Connectivity Networks,” in Balusamy S., Dudin A.N., Graña M., Mohideen A.K., Sreelaja N.K., Malar B. (eds) Computational Intelligence, Cyber Security and Computational Models. Models and Techniques for Intelligent Systems and Automation. ICC3 2019. Communications in Computer and Information Science, vol 1213. Springer, Singapore, October 2020. (doi); preprint at bioRxiv (2020), February 2020.
[09/2020] Beryl Gnanaraj has joined as a Research Associate.[08/2020] Sreevalsan-Nair, K. Dadhich, and S. C. Daggubati, "Tensor Fields for Data Extraction from Chart Images: Bar Charts and Scatter Plots," accepted in Topological Methods in Visualization: Theory, Software and Applications, Ingrid Hotz, Talha Bin Masood, Filip Sadlo, and Julien Tierny (eds.), Springer-Verlag, 2020.
[07/2020] R. R. Vangimalla and J. Sreevalsan-Nair, “A Multiscale Consensus Method Using Factor Analysis to Extract Modular Regions in the Functional Brain Network,” accepted in the Proceedings of the 42nd Annual Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), July 2020. The talk has been presented at the virtual conference.
[07/2020] R. R. Vangimalla and J. Sreevalsan-Nair presented two posters at ISMB 2020, "Influence of COVID-19 Transmission Stages and Demographics on Length of In-Hospital Stay in Singapore for the First 1000 Patients" in the COVID-19 track (also co-authored by P. R. Ghogale), "Construction and Visualization of Diseasome of Lung Diseases Associated with COVID-19 from Co-association Networks of Multi-omics Data" in the NetBio COSI track. The talks and posters were presented at the virtual conference.
[05/2020] Sreenila Rajesh, Keerthana M., Astha Jakher have joined the lab as interns.
[03/2020] Chayanika Devi has joined the lab as a Research Associate.
[03/2020] J. Sreevalsan-Nair and P. Mohapatra, “Influence of Aleatoric Uncertainty on Semantic Classification of Air-borne LiDAR Point Clouds: A Case Study with Random Forest Classifier Using Multiscale Features”, accepted in the Proceedings of the 2020 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2020), September 2020.
[03/2020] R. R. Vangimalla and J. Sreevalsan-Nair, “A Multiscale Consensus Method Using Factor Analysis to Extract Modular Regions in the Functional Brain Network,” accepted in the Proceedings of the 42nd Annual Conferences of the IEEE Engineering in Medicine and Biology Society (EMBC 2020), July 2020.
[02/2020] The project proposal by Jaya Sreevalsan Nair titled "Data Analysis of Split Questionnaires for Conducting Surveys for Population Studies Using Novel Statistical Measures and Visualizations" has been sanctioned under the fixed grant scheme, Mathematical Research Impact Centric Support (MATRICS), by the Science and Engineering Research Board (SERB) for funding in January 2020.
[01/2020] The doctoral paper by Reddy Rani Vangimalla titled "Consensus Methods for Network Analysis of Biomedical Data: Case Studies on Brain Functional Connectivity Network and Gene-Gene Association Networks" has been accepted at the doctoral colloquium at the 4th International Conference on Computational Intelligence and Networks (CINE 2020) for presentation during February 27-29, 2020.
[12/2019] Jaya Sreevalsan Nair gave an invited talk at the 4th International Conference on Computational Intelligence, Cyber Security & Computational Models (ICC3) 2019 at PSG College of Technology, on "Exploiting Spatial Locality in Novel Applications" on December 20, 2019.
[12/2019] The event "Women in Computing" co-organized by Jaya Sreevalsan Nair at the 26th edition of the IEEE International Conference on High Performance Computing, Data and Analytics was on December 18, 2019.
[12/2019] Ankita Christine Victor presented her paper with Jaya Sreevalsan-Nair on "Scene Editing Using Synthesis of Three-Dimensional Virtual Worlds From Monocular Images of Urban Road Traffic Scenes" at the ACM SIGGRAPH European Conference on Visual Media Production (CVMP) on December 18, 2019.
[11/2019] Harshitha Ravindra and Jaya Sreevalsan Nair did a project showcase of their work on "Visual Analytics of Population Health Surveys" at Gratitude -- an university relations annual event by IBM, on November 21, 2019.
[10/2019] Pragyan Mohapatra and Jaya Sreevalsan Nair presented a poster on their work on "Uncertainty Analysis in Point Cloud Classification: Entropy in Geometric Classification and Semantic Homogeneity" at the Intel India Research Colloquium on October 22, 2019.
[09/2019] Reddy Rani Vangimalla presented the poster on RadTrix at VCBM 2019.
[08/2019] Pragyan Mohapatra has bagged the Intel India Research Fellowship 2019.
[08/2019] Reddy Rani Vangimalla and Jaya Sreevalsan Nair has a poster acceptance at VCBM 2019.
[08/2019] Bhargav Ram K. S. has joined University of Florida for M.S.; Dhvani Katkoria, Kunika Valecha, and Siri Chandana Daggubati have joined GVCL.
[08/2019] Komal Dadhich and Jaya Sreevalsan Nair have begun work with Prof. Sindhu Mathai in Azim Premji University on graph perception in grade-school students.
[12/2019] Jaya Sreevalsan Nair gave an invited talk at the 4th International Conference on Computational Intelligence, Cyber Security & Computational Models (ICC3) 2019 at PSG College of Technology, on "Exploiting Spatial Locality in Novel Applications" on December 20, 2019.
[12/2019] The event "Women in Computing" co-organized by Jaya Sreevalsan Nair at the 26th edition of the IEEE International Conference on High Performance Computing, Data and Analytics was on December 18, 2019.
[12/2019] Ankita Christine Victor presented her paper with Jaya Sreevalsan-Nair on "Scene Editing Using Synthesis of Three-Dimensional Virtual Worlds From Monocular Images of Urban Road Traffic Scenes" at the ACM SIGGRAPH European Conference on Visual Media Production (CVMP) on December 18, 2019.
[11/2019] Harshitha Ravindra and Jaya Sreevalsan Nair did a project showcase of their work on "Visual Analytics of Population Health Surveys" at Gratitude -- an university relations annual event by IBM, on November 21, 2019.
[10/2019] Pragyan Mohapatra and Jaya Sreevalsan Nair presented a poster on their work on "Uncertainty Analysis in Point Cloud Classification: Entropy in Geometric Classification and Semantic Homogeneity" at the Intel India Research Colloquium on October 22, 2019.
[09/2019] Reddy Rani Vangimalla presented the poster on RadTrix at VCBM 2019.
[08/2019] Pragyan Mohapatra has bagged the Intel India Research Fellowship 2019.
[08/2019] Reddy Rani Vangimalla and Jaya Sreevalsan Nair has a poster acceptance at VCBM 2019.
[08/2019] Bhargav Ram K. S. has joined University of Florida for M.S.; Dhvani Katkoria, Kunika Valecha, and Siri Chandana Daggubati have joined GVCL.
[08/2019] Komal Dadhich and Jaya Sreevalsan Nair have begun work with Prof. Sindhu Mathai in Azim Premji University on graph perception in grade-school students.[12/2019] Jaya Sreevalsan Nair gave an invited talk at the 4th International Conference on Computational Intelligence, Cyber Security & Computational Models (ICC3) 2019 at PSG College of Technology, on "Exploiting Spatial Locality in Novel Applications" on December 20, 2019.
[12/2019] The event "Women in Computing" co-organized by Jaya Sreevalsan Nair at the 26th edition of the IEEE International Conference on High Performance Computing, Data and Analytics was on December 18, 2019.
[12/2019] Ankita Christine Victor presented her paper with Jaya Sreevalsan-Nair on "Scene Editing Using Synthesis of Three-Dimensional Virtual Worlds From Monocular Images of Urban Road Traffic Scenes" at the ACM SIGGRAPH European Conference on Visual Media Production (CVMP) on December 18, 2019.
[11/2019] Harshitha Ravindra and Jaya Sreevalsan Nair did a project showcase of their work on "Visual Analytics of Population Health Surveys" at Gratitude -- an university relations annual event by IBM, on November 21, 2019.
[10/2019] Pragyan Mohapatra and Jaya Sreevalsan Nair presented a poster on their work on "Uncertainty Analysis in Point Cloud Classification: Entropy in Geometric Classification and Semantic Homogeneity" at the Intel India Research Colloquium on October 22, 2019.
[09/2019] Reddy Rani Vangimalla presented the poster on RadTrix at VCBM 2019.
[08/2019] Pragyan Mohapatra has bagged the Intel India Research Fellowship 2019.
[08/2019] Reddy Rani Vangimalla and Jaya Sreevalsan Nair has a poster acceptance at VCBM 2019.
[08/2019] Bhargav Ram K. S. has joined University of Florida for M.S.; Dhvani Katkoria, Kunika Valecha, and Siri Chandana Daggubati have joined GVCL.
[08/2019] Komal Dadhich and Jaya Sreevalsan Nair have begun work with Prof. Sindhu Mathai in Azim Premji University on graph perception in grade-school students.[12/2019] Jaya Sreevalsan Nair gave an invited talk at the 4th International Conference on Computational Intelligence, Cyber Security & Computational Models (ICC3) 2019 at PSG College of Technology, on "Exploiting Spatial Locality in Novel Applications" on December 20, 2019.
[12/2019] The event "Women in Computing" co-organized by Jaya Sreevalsan Nair at the 26th edition of the IEEE International Conference on High Performance Computing, Data and Analytics was on December 18, 2019.
[12/2019] Ankita Christine Victor presented her paper with Jaya Sreevalsan-Nair on "Scene Editing Using Synthesis of Three-Dimensional Virtual Worlds From Monocular Images of Urban Road Traffic Scenes" at the ACM SIGGRAPH European Conference on Visual Media Production (CVMP) on December 18, 2019.
[11/2019] Harshitha Ravindra and Jaya Sreevalsan Nair did a project showcase of their work on "Visual Analytics of Population Health Surveys" at Gratitude -- an university relations annual event by IBM, on November 21, 2019.
[10/2019] Pragyan Mohapatra and Jaya Sreevalsan Nair presented a poster on their work on "Uncertainty Analysis in Point Cloud Classification: Entropy in Geometric Classification and Semantic Homogeneity" at the Intel India Research Colloquium on October 22, 2019.
[09/2019] Reddy Rani Vangimalla presented the poster on RadTrix at VCBM 2019.
[08/2019] Pragyan Mohapatra has bagged the Intel India Research Fellowship 2019.
[08/2019] Reddy Rani Vangimalla and Jaya Sreevalsan Nair has a poster acceptance at VCBM 2019.
[08/2019] Bhargav Ram K. S. has joined University of Florida for M.S.; Dhvani Katkoria, Kunika Valecha, and Siri Chandana Daggubati have joined GVCL.
[08/2019] Komal Dadhich and Jaya Sreevalsan Nair have begun work with Prof. Sindhu Mathai in Azim Premji University on graph perception in grade-school students.[07/2019] Rani has completed her State-of-the-Art seminar for her Ph.D. studies.
[06/2019] A team from Bharat Electronics Ltd. headed by Mr. Shivakumar visited the lab. Rani made a presentation on the overview of the projects going on in the lab.
[05/2019] Harshitha presented a talk on Visualization at the BMS College of Engineering.
[04/2019] Harshitha, Bhargav and Jaya attended progress review meeting at FRHS.
[02/2019] GVCL co-organized and participated at Bangalore Vis Workshop 2019, along with VGL at IISc and Prof. Amit Chattopadhyay's group. Pragyan and Rani presented their work.
[02/2019] Pragyan presented her paper at ISEC 2019.
[02/2019] Harshitha presented a poster at TS Srinivasan NIMHANS Conclave 2019 on our joint work with doctors at NIMHANS.
[02/2019] Harshitha, Bhargav and Jaya attended progress review meeting at FRHS.
[02/2019] GVCL participated in RISE 2019. Jaya, Harshitha, Bhargav, and Komal participated for poster presentations. Rani presented her work at the Ph.D. Colloquium.
[02/2019] Rani successfully completed her Ph.D. Comprehensive Examination. Congratulations!
[12/2018] Shivangi Motwani and Pragyan Mohapatra presented samples of projects at GVCL at the stall for IIITB as associate partner for HiPC 2018.
[12/2018] Jaya Sreevalsan Nair gave a tutorial on "“Visual Analytics: Bringing Data to Life" at ICIIT 2018, and an invited talk on “Visual Analytics is Komorebi: For Exploring Spatial Relationships in Data and for Leveling the Playing Field in STEM Careers,” at the Workshop for Women in Data Science and High Performance Computing (WDSHPC18), co-located at HiPC 2018.
[11/2018] A chapter titled "Visual Analytics of 3D Airborne LiDAR Point Clouds in Urban Regions" has been published in the book "Geospatial Infrastructure, Applications and Technologies: India Case Studies" edited by N. Sarda, P. Acharya, and S. Sen, and published by Springer Singapore.
[09/2018] Jaya Sreevalsan Nair was a panelist in the panel discussion on "Leveraging Cognitive Computing to Address Challenges in Industry & Social Sectors" during the Symposium on "Cognitive Computing & Social Innovation" co-organized by IIIT Bangalore and Mphasis. Bhargav Ram K. S. and Pragyan Mohapatra presented our projects at the demo session as a part of Inauguration of Mphasis Cognitive Computing Center of Excellence.
[09/2018] Bhargav Ram K. S. and Pragyan Mohapatra presented our projects as poster and demo on September 15, to the Industry Advisory Board, at IIIT Bangalore.
[08/2018] Jaya Sreevalsan Nair gave a keynote talk at the Indo-US Workshop on Modeling Dynamics, Statistical Inference, and Prediction of Infectious Diseases (Workshop website).
[08/2018] New members in the lab: Harshitha Ravindra, Amit Tomar, Komal Dadhich, Pragyan Mohapatra.
[07/2018] Visualization Groups Meetup was a half-day workshop between GVCL and Visualization Graphics Lab, of Prof. Vijay Natarajan (IISc), with talks, organized at IIIT-B.
[07/2018] Bhargav Ram K. S. has joined as research staff member.
[06/2018] Tarun Kukreja [MSIT New Delhi, B.Tech. CSE, expected in 2019] has joined as a summer intern.
[06/2018] Our paper "Contour Extraction in Buildings in Airborne LiDAR Point Clouds Using Multi-scale Local Geometric Descriptors and Visual Analytics," by Jaya Sreevalsan Nair, Akshay Jindal, and Beena Kumari is published as "early access" in IEEE JSTARS.
[05/2018] Chatti Bhanu Venkata Sai Phani [IIIT Vadodara, B.Tech. CSE, expected in 2019] has joined as a summer intern.
[04/2018] Our paper "Contour Extraction in Buildings in Airborne LiDAR Point Clouds Using Multi-scale Local Geometric Descriptors and Visual Analytics," by Jaya Sreevalsan Nair, Akshay Jindal, and Beena Kumari has been accepted in the IEEE Journal of Selected Topics in Remote Sensing (JSTARS).
[03/2018] The proposal by Jaya Sreevalsan Nair titled "Visual analytics of population health surveys" has received an IBM Shared University Grant. The project will be implemented at GVCL and the E-health Research Center.
[02/2018] GVCL co-organized and participated in Bangalore Vis Workshop 2018, held at IISc.
[01/2018] Jaya Sreevalsan Nair presented the paper "Design Study for Creating Pathfinder: A Visualization Tool for Generating Software Test Plans Using Model Based Testing" (co-authored by Kuruvilla Lukose, Shivam Agarwal, and Vidyashankar Nagesha Rao) at IVAPP 2018 in Madeira, Portugal.
[01/2018] Shivangi Motwani has joined the lab as a JRF; Minerva Panda [IIIT Bhubhaneshwar, B.Tech., CSE, expected in 2018] is working on her B.Tech. project during January-April 2018.
[12/2017] An article by Jaya Sreevalsan Nair, "Paving the Way for Geovisual Analytics" has appeared in Issue 3 of Advanced Computing & Communication, a quarterly publication of ACCS, in December 2017.
[12/2017] Ekansh Garg [IIT Madras, Dual B.Tech-M.Tech., Civil Engg, expected in 2019] is interning at the lab during December 2017-January 2018, Ashish Pandey [M.Sc. Digital Society, expected in 2019] has joined the lab.
[11/2017] The paper "Design Study for Creating Pathfinder: A Visualization Tool for Generating Software Test Plans Using Model Based Testing" (co-authored by Kuruvilla Lukose, Shivam Agarwal, Vidyashankar Nagesha Rao, and Jaya Sreevalsan Nair) has been accepted as a short paper at IVAPP 2018.
[10/2017] Jaya Sreevalsan Nair presented a joint project proposal with SatSure at the MeitY-NWO Indo-Dutch R&D Collaboration Workshop.
[10/2017] Jaya Sreevalsan Nair presented her poster on "Collaborative Design of Visual Analytics Techniques for Survey Data for Community-based Research in Public Health" at the 8th Workshop on Visual Analytics in Healthcare (VAHC 2017), affiliated with IEEE VIS, in Arizona, U.S.A.
[07/2017] Jaya Sreevalsan Nair presented her paper on "Using Gradients and Tensor Voting in 3D Local Geometric Descriptors for Feature Detection in Airborne LiDAR Point Clouds in Urban Regions," coauthored by Akshay Jindal, at the 2017 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2017), during July 23-28, at Fort Worth, Texas, U.S.A. The paper will appear in the proceedings of the conference on IEEE Xplore.
[07/2017] Harini V. [RVCE Bangalore, BTCSE 2016-20] has joined GVCL for her summer internship.
[07/2017] Jaya Sreevalsan Nair presented ongoing projects at GVCL and the E-health Research Center (EHRC) at the Public Affairs Center (PAC), Bangalore, along with Prof. Amit Prakash. Amit gave inputs on the work at CITAPP and EHRC.
[07/2017] Kuhu Gupta [NIT Raipur, BTIT 2013-17] has joined GVCL as junior research fellow.
[06/2017] Jaya Sreevalsan Nair delivered a talk on "Visual Analytics of Airborne LiDAR Point Clouds" at the one-day workshop on Satellite Remote Sensing and Image Analysis, Activities at the Bangalore Section IEEE GRSS Chapter.
[05/2017] Minerva Panda [IIIT Bhubaneswar, BTCSE 2014-18] has joined GVCL for her summer internship.
[04/2017] Jaya Sreevalsan Nair presented a talk on the work at GVCL, titled "Visual Analytics in the Time of Big Data" at the Workshop on Big Data Engineering, IIITB.
[04/2017] Jaya Sreevalsan Nair has received the Early Career Research Award 2017 from Science and Engineering Research Board, Government of India.
[04/2017] Rani Reddy, Shivam Agarwal, Nilay Engineer and Preethi Dixit presented posters and demos on their work at GVCL in RISE @ IIITB (Open House) 2017.
[03/2017] "Using Gradients and Tensor Voting in 3D Local Geometric Descriptors for Feature Detection in Airborne LiDAR Point Clouds in Urban Regions," by Jaya Sreevalsan-Nair and Akshay Jindal has been accepted in the 2017 IEEE International Geoscience and Remote Sensing Symposium, July 2017.
[03/2017] Shivam Agarwal and NIlay Engineer presented work on "Interactive Three-dimensional Visualization of Large-scale ARGO Data" at the 5th PMC Meeting of the HOOFS Project at INCOIS, Hyderabad.
[02/2017] Jaya Sreevalsan Nair presented paper on "NodeTrix-CommunityHierarchy: Techniques for Finding Hierarchical Communities for Visual Analytics of Small-world Networks" co-authored by Shivam Agarwal at the 8th International Conference on Information Visualization Theory and Applications (IVAPP2017) at Porto, Portugal.
[02/2017] Rani Reddy and Jaya Sreevalsan Nair presented their work at FRHS. The website for visualization for health informatics is https://datavis.mybluemix.net/ Sanat R. had contributed to the development in 2016.
[02/2017] "Local Geometric Descriptors for Multi-Scale Probabilistic Point Classification of Airborne LiDAR Point Clouds," by Jaya Sreevalsan-Nair and Beena Kumari will appear as book chapter in “Modeling, Analysis and Visualization of Anisotropy,” Mathematics and Visualization Series, Springer Verlag, in 2017. This paper is an outcome of our presentation at Dagstuhl Seminar 16142 in April 2016.
[01/2017] GVCL participated in the 2nd edition of the Bangalore Vis Workshop in collaboration with VGL, IISc, organized by Prof. Vijay Natarajan (IISc) and Jaya Sreevalsan Nair. The event was held at CSA, IISc. Jaya Sreevalsan Nair and Shivam Agarwal presented ongoing work at GVCL during the event.
[11/2016] "NodeTrix-CommunityHierarchy: Techniques for Finding Hierarchical Communities for Visual Analytics of Small-world Networks," a paper by Jaya Sreevalsan-Nair and Shivam Agarwal will appear in proceedings of IVAPP 2017. The paper is selected as "Best Paper Finalist".
[10/2016] "NodeTrix-Multiplex: Visual Analytics of Multiplex Small-world Networks," a paper by Shivam Agarwal, Amit Tomar, and Jaya Sreevalsan-Nair, has been accepted at Complex Networks 2016. It will be published in its proceedings in Studies in Computational Intelligence Series, Springer Verlag.
[09/2016] Sanat R. and Jaya Sreevalsan-Nair presented their work at FRHS.
[08/2016] Rani Reddy has joined as a Ph.D. student with fellowship from full-time Ph.D. scheme of the Visvesvaraya Ph.D. scheme for Electronics & IT.
[07/2016] Raghavendra G. S. and Jaya Sreevalsan-Nair presented their work at INCOIS.
[07/2016] Nilay Engineer has joined the lab as a Research Associate on sponsored project with INCOIS.
[06/2016] Beena Kumari [Master of Science by Research '16] has successfully defended her thesis on "Visualization Techniques in Classification of 3D Urban LiDAR Point Cloud."
[06/2016] Jaya Sreevalsan-Nair is a Visiting Scientist at SSIU, ISI Bangalore for the month, working with Prof. B. S. Daya Sagar.
[05/2016] Sunit Kumar Adhikary [B.Tech.'18, CSE, IIIT Guwahati] and Khushboo Bhuwalka [B.Tech.'17, IT, NIT Raipur] have joined as summer interns, will be at GVCL until July.
[04/2016] Jaya Sreevalsan-Nair presented joint work with Beena Kumari, "Substitutability of Symmetric Second-order Tensor Fields:
An Application in Urban LiDAR 3D Point Cloud", upon invitation, at "Dagstuhl seminar 16142: Multidisciplinary Approaches to Multivalued Data: Modeling, Visualization, Analysis" in Dagstuhl, Germany. This work has been invited to be submitted as a book chapter in the proceedings of the seminar.
[03/2016] Raghavendra G. S. and Jaya Sreevalsan-Nair presented their poster on "Using Topological Methods for Improving Visualizations of Ocean Data" at the 4th Project Monitoring Committee Meeting co-located with Workshop of High-resolution Operational Ocean Forecast and Reanalysis System at INCOIS, Hyderabad.
[03/2016] Raghavendra G. S., Shivam Agarwal, and Jaya Sreevalsan-Nair presented their progress on project on "Interactive Three-dimensional Visualization of Large-Scale ARGO Data" at the 4th Project Monitoring Committee Meeting co-located with Workshop of High-resolution Operational Ocean Forecast and Reanalysis System at INCOIS, Hyderabad.
[02/2016] Jaya Sreevalsan-Nair has begun collaborative research with Prof. B. S. Daya Sagar, SSIU, ISI Bangalore, on project related to processing of INSAR data.
[02/2016] Shivam Agarwal and Jaya Sreevalsan-Nair are jointly working on a consultative project on GUI development for software testing with Mr. Kuruvilla Lukose, CTO, Altair India Pvt. Ltd.
[01/2016] Sanat R. has joined the project on "Visual Analytics of Child Malnutrition Data".
[01/2016] Beena Kumari has submitted her Master of Science by Research thesis on "Visualization Techniques in Classification of 3D Urban LiDAR Point Clouds".
[01/2016] Jaya Sreevalsan-Nair's project with Altair India Pvt. Ltd. on graph visualization for Model-based Testing got approved, and has started.
[01/2016] GVCL organized and participated in the first in the series of Bangalore Vis Workshop at Indian Institute of Science.
[11/2015] GVCL participated in the third CDS workshop. Beena Kumari, Manjunath K. E., Raghavendra G.S., and Shivam Agarwal actively participated, gave talks and presented demos.
[11/2015] Jaya Sreevalsan-Nair's proposal with Foundations for Research in Health Systems (FRHS) on visual analytics of child malnutrition data got approved.
[11/2015] Beena Kumari and Jaya Sreevalsan-Nair presented "An Interactive Visual Analytic Tool for Semantic Classification of 3D Urban LiDAR Point Cloud," at ACM SIGSPATIAL 2015 in Seattle.
[08/2015] "An Interactive Visual Analytic Tool for Semantic Classification of 3D Urban LiDAR Point Cloud," a paper by Beena Kumari and Jaya Sreevalsan-Nair got accepted for publication at ACM SIGSPATIAL 2015
[08/2015] Jaya Sreevalsan-Nair presented a talk on "Focus+Context Techniques to Visualize Big Data," at National Workshop at C-DAC Bangalore, Data Science and Big Data Analytics 2015, DSBDA'15
[07/2015] Shivam Agarwal and Raghavendra G. S. joined GVCL as research staff members. Preethi Dixit and Sainath Shanbagh joined as Ph.D. students.
[06/2015] GVCL participated in the second CDS workshop. Jaya Sreevalsan-Nair presented a talk on "Visualization of Multivariate Small World Networks", and all other members of GVCL made demo presentations.
[06/2015] Amit Tomar, Shivam Agarwal, and Srinivas Vaidya presented their M.Tech. theses.
[03/2015] Jaya Sreevalsan-Nair presented progress on project on "Three-dimensional Interactive Visualization of Large-scale ARGO data" at the HOOFS meeting at INCOIS, Hyderabad.
[02/2015] Dr. Ingrid Hotz from German Aerospace Agency visited GVCL and presented her group's work on "Visual Data Analysis: From Feature Definition to Extraction". She interacted with members of the lab and discussed.
[01/2015] Shivam Agarwal, Amit Tomar, and Jaya Sreevalsan-Nair presented their work on "Visualization of Security Analytics" at EMC-RSA internal meeting.
[01/2015] Jaya Sreevalsan-Nair and Beena Kumari attended upon invitation and presented at the DST National Airborne LiDAR Meeting at IIT Kanpur on January 19-20. They presented their work on "Remote Interactive Visualization of Parallel Implementation of Structural Feature Extraction of Three-dimensional Lidar Point Cloud".
[12/2014] Beena Kumari and Avijit Ashe presented their paper and demo on "Remote Interactive Visualization of Parallel Implementation of Structural Feature Extraction of Three-dimensional Lidar Point Cloud" at the Third International Conference on Big Data Analytics 2014 in New Delhi.
[11/2014] GVCL participated in the CDS Workshop.
[09/2014] Jaya Sreevalsan-Nair gave a tutorial on Visualization at AICWIC 2014 organized by ACM-Goa chapter.
[09/2014] B. Kumari, A. Ashe, and J. Sreevalsan-Nair, “Remote Interactive Visualization of Parallel Implementation of Structural Feature Extraction of Threedimensional Lidar Point Cloud,” got accepted in Systems and Demo Track of The Third International Conference on Big Data Analytics (BDA14), December 20-23, 2014.
[07/2014] Center for Data Sciences (CDS) @IIITB was born; GVCL was a founding lab.
[07/2014] Project with INCOIS on "Interactive Three-dimensional Visualization of Large-scale ARGO Data" got sanctioned.
[04/2014] IIIT-Bangalore hosted the ACM Siggraph (Bangalore chapter) talk on "Physical Visualization of Models: 3D Printing" by Dr. T. K. Srikanth, faculty member at IIIT-Bangalore.
[03/2014] IIIT-Bangalore hosted the ACM Siggraph (Bangalore chapter) talk on "Adaption of Rasterization Techniques in Tile-based Rendering" by Mr. Manjunath R., Principal Engineer at Samsung Electronics.
[01/2014] IIIT-Bangalore hosted the ACM Siggraph (Bangalore chapter) talk on "Story telling using Blender" presenation and hands-on workshop by Mr. Satish Goda, junior software engineer and senior educator with Rhythm & Hues Studio.
[01/2014] The security analytics visualization project with EMC-RSA got sanctioned.
[12/2013] IIIT-Bangalore hosted the ACM Siggraph (Bangalore chapter) talk on Introduction to Computer Animation by Dreamworks Inc.
[12/2013] Jaya Sreevalsan-Nair presented paper on small world network visualization using similarity matrices at BDA 2013.
[11/2013] Beena Kumari and Jaya Sreevalsan-Nair's paper on "Three-dimensional Visualization of LiDAR Point Cloud Using Structural Feature Extraction" appeared in Proceedings of NSDI 2013.
[08/2013] Saima Parveen's paper, on "Small world network visualization using similarity matrices," got accepted at BDA 2013.
[08/2012] NRDMS grant got sanctioned.
[11/2011] Jaya Sreevalsan-Nair's paper, on isosurface extraction from irregular meshes, got accepted at IVAPP 2012.
[08/2011] IIIT-B was designated as NVIDIA's Cuda Teaching Center (CTC).
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