Publications and Outreach

2021

    Talks
    • (virtual) Talk by Jaya Sreevalsan Nair at Data Science Webinar Series, MANAV – the Human Atlas Initiative, “Network Science for Functional Segregation of Human Brain,” February 18, 2021. (url)

2020

    • Dr. Manjunath, Dr. Suresh B.M., T.K. Srikanth, Divya Raj and others, "Mental Healthcare Management System (e-MANAS) to implement India's Mental Healthcare Act, 2017: Methodological design, components, and its implications“ accepted as a brief paper in the Asian Journal of Psychiatry, August 2020
    • R. R. Vangimalla, and J. Sreevalsan-Nair, "Construction and Visualization of Diseasome of Lung Diseases Associated with COVID-19 from Co-association Networks of Multi-omics Data," accepted as poster and oral presentations, at the NetBio COSI track at the 28 th Conference on Intelligent Systems for Molecular Biology (ISMB 2020), July 2020. (abstract)
    • J. Sreevalsan-Nair, R. R. Vangimalla, and P. R. Ghogale, "Influence of COVID-19 Transmission Stages and Demographics on Length of In-Hospital Stay in Singapore for the First 1000 Patients," accepted as poster and oral presentations, at the COVID-19 track at the 28 th Conference on Intelligent Systems for Molecular Biology (ISMB 2020), July 2020. (abstract)
    • R. R. Vangimalla and J. Sreevalsan-Nair, “A Multiscale Consensus Method Using Factor Analysis to Extract Modular Regions in the Functional Brain Network,” in 2020 42 nd Annual International Conference of the IEEE Engineering in Medicine & Biology Society (EMBC), IEEE, 2020, pp. 2824–2828. https://doi.org/10.1109/EMBC44109.2020.9175622
    • J. Sreevalsan-Nair, R. R. Vangimalla, and P. R. Ghogale, “Estimation of Length of In-Hospital Stay Using Demographic Data of the First 1000 COVID-19 Patients in Singapore,” medRxiv (2020), April 2020, https://doi.org/10.1101/2020.04.17.20069724
    • R. R. Vangimalla and J. Sreevalsan-Nair, Consensus Methods for Network Analysis of Biomedical Data: Case Studies on Brain Functional Connectivity Network and Gene-Gene Association Networks, accepted for doctoral colloquium presentation, at the 4 th International Conference on Computational Intelligence and Networks (CINE 2020), February 2020.

    • U. M. Mehta, D. Shadakshari, P. Vani, S. S. Naik, V. K. Raj, R. R. Vangimalla, Y. J. Reddy, J. Sreevalsan-Nair, and R. D. Bharath, “Case Report: Obsessive compulsive disorder in posterior cerebellar infarction-illustrating clinical and functional connectivity modulation using MRI-informed transcranial magnetic stimulation,” Wellcome Open Research, vol. 5:189, 2020. https://doi.org/10.12688/wellcomeopenres.16183.2

    Talks
    • (virtual) Talk by Jaya Sreevalsan Nair at the NeurIPS Bangalore Meetup, “Hierarchical Organization of Functional Segregation of the Brain,”December 18, 2020. (url)
    • (virtual) Keynote talk by Jaya Sreevalsan Nair at AICWiC 2020, ACM-W, “Data Dissemination during COVID-19: The Rise of Visualizations!,”September 05, 2020.
    • (virtual) Poster presentation and talk by Reddy Rani Vangimalla at ISMB 2020, NetBio COSI track, “Construction and Visualization of Diseasome of Lung Diseases Associated with COVID-19 from Co-association Networks of Multi-omics Data,” July 15-16, 2020. (url)
    • (virtual) Talk and poster presentation by Jaya Sreevalsan Nair at ISMB 2020, COVID-19 track, “Influence of COVID-19 Transmission Stages and Demographics on Length of In-Hospital Stay in Singapore for the First 1000 Patients (January 23-April 01)," July 15-16, 2020. (url)
     

2019

    • R. R. Vangimalla and J. Sreevalsan-Nair, RadTrix: A Composite Hybrid Visualization for Unbalanced Bipartite Graphs in Biological Datasets, accepted for poster and video presentations, at the 9 th Eurographics Workshop on Visual Computing for Biology and Medicine (VCBM), September 2019. [Online]. Available: https://conferences.eg.org/vcbm2019/wp-content/uploads/sites/2/2019/09/05.pdf

2017

    • J. Sreevalsan-Nair, N. Murthy, S. Agarwal, R. R. Vangimalla, and S. Ramesh, “Collaborative Design of Visual Analytics Techniques for Survey Data for Community-based Research in Public Health”, (accepted as poster) in the 8th Workshop on Visual Analytics in Healthcare, affiliated with IEEE VIS, October 2017.
    Talks
    • Fast-forward and poster presentation of accepted paper at the 8 th Workshop on Visual Analytics in Healthcare (VAHC 2017), “Collaborative Design of Visual Analytics Techniques for Survey Data for Community-based Research in Public Health,” Phoenix, Arizona, U.S.A., October 01, 2017.