Jaya Sreevalsan-Nair

About Jaya Sreevalsan-Nair

Jaya Sreevalsan-Nair, With an exceptional h-index of 9 and a recent h-index of 6 (since 2020), a distinguished researcher at International Institute of Information Technology Bangalore, specializes in the field of Spatiotemporal Data Analysis, Network Science, Visual Analytics, Machine Learning, Ensemble Methods.

His recent articles reflect a diverse array of research interests and contributions to the field:

Multispectral data mining: A focus on remote sensing satellite images

SunburstChartAnalyzer: Hierarchical Data Retrieval from Images of Sunburst Charts for Tree Visualization

Evaluating early pandemic response through length-of-stay analysis of case logs and epidemiological modeling: A case study of Singapore in early 2020

On Metavisualization and Properties of Visualization.

Proximity Regression

EyeExplore: An Interactive Visualization Tool for Eye-Tracking Data for Novel Stimulus-based Analysis

Visual Exploration of LiDAR Point Clouds

A Methodology for Integrating Population Health Surveys Using Spatial Statistics and Visualizations for Cross-Sectional Analysis

Jaya Sreevalsan-Nair Information

University

Position

TACC Univ. of California Davis Mississippi State Univ. IIT Madras

Citations(all)

287

Citations(since 2020)

147

Cited By

186

hIndex(all)

9

hIndex(since 2020)

6

i10Index(all)

8

i10Index(since 2020)

3

Email

University Profile Page

Google Scholar

Jaya Sreevalsan-Nair Skills & Research Interests

Spatiotemporal Data Analysis

Network Science

Visual Analytics

Machine Learning

Ensemble Methods

Top articles of Jaya Sreevalsan-Nair

Title

Journal

Author(s)

Publication Date

Multispectral data mining: A focus on remote sensing satellite images

Sin Liang Lim

Jaya Sreevalsan‐Nair

BS Daya Sagar

2023

SunburstChartAnalyzer: Hierarchical Data Retrieval from Images of Sunburst Charts for Tree Visualization

Prakhar Rastogi

Karanveer Singh

Jaya Sreevalsan-Nair

2023

Evaluating early pandemic response through length-of-stay analysis of case logs and epidemiological modeling: A case study of Singapore in early 2020

Computational and Mathematical Biophysics

Jaya Sreevalsan-Nair

Anuj Mubayi

Janvi Chhabra

Reddy Rani Vangimalla

Pritesh Rajesh Ghogale

2023/11/14

On Metavisualization and Properties of Visualization.

Jaya Sreevalsan-Nair

2023

Proximity Regression

Jaya Sreevalsan-Nair

2023/7/14

EyeExplore: An Interactive Visualization Tool for Eye-Tracking Data for Novel Stimulus-based Analysis

Beryl Gnanaraj

Jaya Sreevalsan-Nair

2023/5/30

Visual Exploration of LiDAR Point Clouds

Satendra Singh

Jaya Sreevalsan-Nair

2023/5/12

A Methodology for Integrating Population Health Surveys Using Spatial Statistics and Visualizations for Cross-Sectional Analysis

SN Computer Science

Harshitha Ravindra

Jaya Sreevalsan-Nair

2023/2/21

RoSELS: Road Surface Extraction for 3D Automotive LiDAR Point Cloud Sequence.

Dhvani Katkoria

Jaya Sreevalsan-Nair

2022

Evaluating and Improving RoSELS for Road Surface Extraction from 3D Automotive LiDAR Point Cloud Sequences

Dhvani Katkoria

Jaya Sreevalsan-Nair

2022/7/12

Communities and cliques in functional brain network using multiscale consensus approach

IEEE Transactions on Neural Systems and Rehabilitation Engineering

Reddy Rani Vangimalla

Jaya Sreevalsan-Nair

2022/7/12

ACCirO: A System for Analyzing and Digitizing Images of Charts with Circular Objects

Siri Chandana Daggubati

Jaya Sreevalsan-Nair

2022/6/15

Barchartanalyzer: Data extraction and summarization of bar charts from images

SN Computer Science

Siri Chandana Daggubati

Jaya Sreevalsan-Nair

Komal Dadhich

2022/10/1

CiteVis: Visual Analysis of Overlapping Citation Intents as Dynamic Sets

Shivam Agarwal

Uttiya Ghosh

Fabian Beck

Jaya Sreevalsan-Nair

2022

Independent Component Analysis

Jaya Sreevalsan-Nair

2022/7/29

CAP-DSDN: Node Co-association Prediction in Communities in Dynamic Sparse Directed Networks and a Case Study of Migration Flow.

Jaya Sreevalsan-Nair

Astha Jakher

2022

Composition of Geospatial Visualizations for Scale-aware Views of Multiple Outcome Variables in Population Surveys

Harshitha Ravindra

Jaya Sreevalsan-Nair

2022/7/19

BarChartAnalyzer: Digitizing Images of Bar Charts.

Komal Dadhich

Siri Chandana Daggubati

Jaya Sreevalsan-Nair

2021/2/17

CV4FEE: flood extent estimation using consensus voting in ensemble of methods for change detection in sentinel-1 GRD SAR images

Ragesh Thangavel

Jaya Sreevalsan-Nair

2021/11/1

IMGD: Image-based multiscale global descriptors of airborne LIDAR point clouds used for comparative analysis

Jaya Sreevalsan-Nair

Pragyan Mohapatra

Satendra Singh

2021

See List of Professors in Jaya Sreevalsan-Nair University(International Institute of Information Technology Bangalore)

Co-Authors

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