Arjun Srinivasan
Scholar

Arjun Srinivasan

Google Scholar ID: QHq8_3MAAAAJ
Tableau (Salesforce)
Human-Computer InteractionVisual AnalyticsNatural User InterfacesInformation Visualization
Citations & Impact
All-time
Citations
1,887
 
H-index
23
 
i10-index
29
 
Publications
20
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Publications:
  • - Pluto: Authoring Semantically Aligned Text and Charts for Data-Driven Communication (IUI, 2025)
  • - Azimuth: Designing Accessible Dashboards for Screen Reader Users (ASSETS, 2023, Best Paper, Honorable Mention)
  • - MEDLEY: Intent-based Recommendations to Support Dashboard Composition (IEEE VIS 2022, Best Paper, Honorable Mention)
  • - Interweaving Multimodal Interaction with Flexible Unit Visualizations for Data Exploration (IEEE VIS 2020)
  • - Augmenting Visualizations with Interactive Data Facts to Facilitate Interpretation and Communication (IEEE VIS 2019)
  • Awards:
  • - IEEE VGTC Visualization Best Dissertation Award
Research Experience
  • Currently a Lead Research Scientist at Salesforce, working on AI-assisted features in Tableau; previously part of the visualization team at Databricks AI/BI, working on interactive data querying and conversational interfaces for chart authoring; built multimodal data visualization and photo editing tools during internships at Microsoft Research and Adobe Research.
Education
  • PhD from Georgia Tech, advised by John Stasko, focusing on multimodal human-data interaction interfaces.
Background
  • Research interests: intelligent and expressive tools for human-data interaction. Develops systems that guide visual analysis through proactive recommendations and multimodal interfaces that allow people to interactively query and explore data.
Co-authors
0 total
Co-authors: 0 (list not available)