Aritra Dasgupta
Aritra Dasgupta
Assistant Professor, Data Science
5502 Guttenberg Information Technologies Center (GITC)
Education
Ph.D.; University of North Carolina at Charlotte; Computer Science; 2012
M.S.; University of North Carolina at Charlotte; Computer Science; 2008
B.Tech.; West Bengal University of Technology; Information Technology; 2005
M.S.; University of North Carolina at Charlotte; Computer Science; 2008
B.Tech.; West Bengal University of Technology; Information Technology; 2005
2025 Spring Courses
DS 725 - INDEPENDENT STUDY I
IS 488 - INDEPENDENT STUDY IN INFO
IS 700B - MASTER'S PROJECT
IS 792 - PRE-DOCTORAL RESEARCH
CS 488 - INDEPENDENT STUDY IN CS
IS 725 - INDEPENDENT STUDY I
IS 790A - DOCT DISSERTATION & RES
DS 790A - DOCT DISSERTATION & RES
IS 726 - INDEPENDENT STUDY II
DS 488 - INDEPENDENT STUDY IN DS
DS 701B - MASTER'S THESIS
DS 726 - INDEPENDENT STUDY II
DS 792B - PRE-DOCTORAL RESEARCH
IS 489 - INFO UNDERGRAD THESIS RESEARCH
IS 701B - MASTER'S THESIS
IS 776 - IS RESEARCH STUDY
DS 650 - DATA VISUALIZATION
DS 700B - MASTER'S PROJECT
IS 488 - INDEPENDENT STUDY IN INFO
IS 700B - MASTER'S PROJECT
IS 792 - PRE-DOCTORAL RESEARCH
CS 488 - INDEPENDENT STUDY IN CS
IS 725 - INDEPENDENT STUDY I
IS 790A - DOCT DISSERTATION & RES
DS 790A - DOCT DISSERTATION & RES
IS 726 - INDEPENDENT STUDY II
DS 488 - INDEPENDENT STUDY IN DS
DS 701B - MASTER'S THESIS
DS 726 - INDEPENDENT STUDY II
DS 792B - PRE-DOCTORAL RESEARCH
IS 489 - INFO UNDERGRAD THESIS RESEARCH
IS 701B - MASTER'S THESIS
IS 776 - IS RESEARCH STUDY
DS 650 - DATA VISUALIZATION
DS 700B - MASTER'S PROJECT
Past Courses
CS 450: DATA VISUALIZATION
DS 650: DATA VISUALIZATION AND INTERPRETATION
IS 247: DESIGNING THE USER EXPERIENCE
IS 331: DATABASE DESIGN, MGMT & APPL
IS 650: DATA VISUALIZATION & INTERPRET
IS 650: DATA VISUALIZATION AND INTERPRETATION
IS 657: SPATIOTEMPORAL URBAN ANALYTICS
IS 698: ST: DATA VISUALIZATION AND INTERPRETATION
DS 650: DATA VISUALIZATION AND INTERPRETATION
IS 247: DESIGNING THE USER EXPERIENCE
IS 331: DATABASE DESIGN, MGMT & APPL
IS 650: DATA VISUALIZATION & INTERPRET
IS 650: DATA VISUALIZATION AND INTERPRETATION
IS 657: SPATIOTEMPORAL URBAN ANALYTICS
IS 698: ST: DATA VISUALIZATION AND INTERPRETATION
Conference Proceeding
“Conceptualizing Visual Analytic Interventions for Content Moderation”
January (1st Quarter/Winter), 2021.
“Knowing what to look for: A Fact-Evidence Reasoning Framework for Decoding Communicative Visualization”
2020.
“Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities”
2020.
“Towards Trust-Augmented Visual Analytics for Data-Driven Energy Modeling”
2020.
“UrbanForest: Seeing the data forest despite the trees”
2020.
January (1st Quarter/Winter), 2021.
“Knowing what to look for: A Fact-Evidence Reasoning Framework for Decoding Communicative Visualization”
2020.
“Privacy-Preserving Data Visualization: Reflections on the State of the Art and Research Opportunities”
2020.
“Towards Trust-Augmented Visual Analytics for Data-Driven Energy Modeling”
2020.
“UrbanForest: Seeing the data forest despite the trees”
2020.
SHOW MORE
“Guess Me If You Can: A Visual Uncertainty Model for Transparent Evaluation of Disclosure Risks in Privacy-Preserving Data Visualization”
2019.
“Bridging Computation and Visual Communication of Change using Levels of Abstraction”
2018.
“Human Factors in Streaming Data Analysis: Challenges and Opportunities for Information Visualization”
2018.
“The Exploratory Labeling Assistant: Mixed-Initiative Label Curation with Large Document Collections”
2018.
“A workflow for visual diagnostics of binary classifiers using instance-level explanations”
2017.
“Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists’ Visual Analytic Judgments”
2017.
“Interpreting black-box classifiers using instance-level visual explanations”
2017.
“Towards Understanding Familiarity Related Cognitive Biases in Visualization Design and Usage”
2017.
“Reflecting on the Design Criteria for Explanatory Visualizations”
2016.
“Seekaview: An intelligent dimensionality reduction strategy for navigating high-dimensional data spaces”
2016.
“VIMTEX: A Visualization Interface for Multivariate, Time-Varying, Geological Data Exploration”
2015.
“Opportunities and Challenges for Privacy-Preserving Visualization of Electronic Health Record Data”
2014.
“SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data”
2014.
“Global net land carbon sink: results from the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP)”
2013.
“Integrate Data into Scientific Workflows for Terrestrial Biosphere Model Evaluation through Brokers”
2013.
“Measuring privacy and utility in privacy-preserving visualization”
2013.
“Conceptualizing Visual Uncertainty in Parallel Coordinates”
2012.
“Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data”
2012.
“The importance of tracing data through the visualization pipeline”
2012.
“Privacy-preserving data visualization using parallel coordinates”
2011.
“The Need for Information Loss Metrics in Visualization”
2010.
2019.
“Bridging Computation and Visual Communication of Change using Levels of Abstraction”
2018.
“Human Factors in Streaming Data Analysis: Challenges and Opportunities for Information Visualization”
2018.
“The Exploratory Labeling Assistant: Mixed-Initiative Label Curation with Large Document Collections”
2018.
“A workflow for visual diagnostics of binary classifiers using instance-level explanations”
2017.
“Empirical Analysis of the Subjective Impressions and Objective Measures of Domain Scientists’ Visual Analytic Judgments”
2017.
“Interpreting black-box classifiers using instance-level visual explanations”
2017.
“Towards Understanding Familiarity Related Cognitive Biases in Visualization Design and Usage”
2017.
“Reflecting on the Design Criteria for Explanatory Visualizations”
2016.
“Seekaview: An intelligent dimensionality reduction strategy for navigating high-dimensional data spaces”
2016.
“VIMTEX: A Visualization Interface for Multivariate, Time-Varying, Geological Data Exploration”
2015.
“Opportunities and Challenges for Privacy-Preserving Visualization of Electronic Health Record Data”
2014.
“SimilarityExplorer: A Visual Inter-Comparison Tool for Multifaceted Climate Data”
2014.
“Global net land carbon sink: results from the Multi-scale Synthesis and Terrestrial Model Intercomparison Project (MsTMIP)”
2013.
“Integrate Data into Scientific Workflows for Terrestrial Biosphere Model Evaluation through Brokers”
2013.
“Measuring privacy and utility in privacy-preserving visualization”
2013.
“Conceptualizing Visual Uncertainty in Parallel Coordinates”
2012.
“Meta parallel coordinates for visualizing features in large, high-dimensional, time-varying data”
2012.
“The importance of tracing data through the visualization pipeline”
2012.
“Privacy-preserving data visualization using parallel coordinates”
2011.
“The Need for Information Loss Metrics in Visualization”
2010.
COLLAPSE
Journal Article
Aritra Dasgupta, Hong Wang, O'Brien Nancy, Susannah Burrows. 2019. "Separating the Wheat from the Chaff : Comparative Visual Cues for Transparent Diagnostics of Competing Models." IEEE Transactions on Visualization and Computer Graphics.
Aritra Dasgupta, Jorge Poco, Bernice Rogowitz, Kyungsik Han, Enrico Bertini, Claudio T Silva. 2019. "The Effect of Color Scales on Climate Scientists' Objective and Subjective Performance in Spatial Data Analysis Tasks." IEEE transactions on visualization and computer graphics.
Susannah M Burrows, Aritra Dasgupta, Sarah Reehl, Lisa Bramer, Po-Lun Ma, Philip J Rasch, Yun Qian. 2018. "Characterizing the relative importance assigned to physical variables by climate scientists when assessing atmospheric climate model fidelity." Advances in Atmospheric Sciences, vol. 35, no. 9, pp. 1101--1113.
Aritra Dasgupta, Joon-Yong Lee, Ryan Wilson, Robert Lafrance, Nick Cramer, Kristin Cook, Samuel H. Payne. 2017. "Familiarity Vs Trust: A Comparative Study of Domain Scientists’ Trust in Visual Analytics and Conventional Analysis Methods." IEEE Transactions on Visualization \& Computer Graphics, no. 1, pp. 1--1.
Aritra Dasgupta, Jorge Poco, Enrico Bertini, Claudio Silva. 2016. "Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study." Computing in Science and Engineering, vol. 18, pp. 92--100.
Aritra Dasgupta, Jorge Poco, Bernice Rogowitz, Kyungsik Han, Enrico Bertini, Claudio T Silva. 2019. "The Effect of Color Scales on Climate Scientists' Objective and Subjective Performance in Spatial Data Analysis Tasks." IEEE transactions on visualization and computer graphics.
Susannah M Burrows, Aritra Dasgupta, Sarah Reehl, Lisa Bramer, Po-Lun Ma, Philip J Rasch, Yun Qian. 2018. "Characterizing the relative importance assigned to physical variables by climate scientists when assessing atmospheric climate model fidelity." Advances in Atmospheric Sciences, vol. 35, no. 9, pp. 1101--1113.
Aritra Dasgupta, Joon-Yong Lee, Ryan Wilson, Robert Lafrance, Nick Cramer, Kristin Cook, Samuel H. Payne. 2017. "Familiarity Vs Trust: A Comparative Study of Domain Scientists’ Trust in Visual Analytics and Conventional Analysis Methods." IEEE Transactions on Visualization \& Computer Graphics, no. 1, pp. 1--1.
Aritra Dasgupta, Jorge Poco, Enrico Bertini, Claudio Silva. 2016. "Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study." Computing in Science and Engineering, vol. 18, pp. 92--100.
SHOW MORE
Aritra Dasgupta, Jorge Poco, Yaxing Wei, Robert Cook, Enrico Bertini, Claudio Silva. 2015. "Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison." IEEE Transactions of Visualization and Computer Graphics, vol. 21, no. 9, pp. 996--1014.
Jorge Poco, Aritra Dasgupta, Yaxing Wei, William Hargrove, Christopher R Schwalm, Deborah N Huntzinger, Robert Cook, Enrico Bertini, Claudio T Silva. 2014. "Visual reconciliation of alternative similarity spaces in climate modeling." IEEE transactions on visualization and computer graphics, vol. 20, no. 12, pp. 1923--1932.
Brian Duffy, Aritra Dasgupta, Robert Kosara, S Walton, Min Chen. 2013. "Measuring Visual Complexity of Cluster-Based Visualizations." arXiv preprint arXiv:1302.5824.
Aritra Dasgupta, Adviser- Robert Kosara. 2012. "The visual uncertainty paradigm for controlling screen-space information in visualization." University of North Carolina at Charlotte.
Aritra Dasgupta, Robert Kosara. 2011. "Adaptive Privacy-Preserving Visualization Using Parallel Coordinates." IEEE Transactions on Visualization and Computer Graphics,, vol. 17, no. 12, pp. 2241--2248.
Aritra Dasgupta, Robert Kosara. 2010. "Pargnostics: Screen-space metrics for parallel coordinates." IEEE Transactions on Visualization and Computer Graphics,, vol. 16, no. 6, pp. 1017--1026.
Jorge Poco, Aritra Dasgupta, Yaxing Wei, William Hargrove, Christopher R Schwalm, Deborah N Huntzinger, Robert Cook, Enrico Bertini, Claudio T Silva. 2014. "Visual reconciliation of alternative similarity spaces in climate modeling." IEEE transactions on visualization and computer graphics, vol. 20, no. 12, pp. 1923--1932.
Brian Duffy, Aritra Dasgupta, Robert Kosara, S Walton, Min Chen. 2013. "Measuring Visual Complexity of Cluster-Based Visualizations." arXiv preprint arXiv:1302.5824.
Aritra Dasgupta, Adviser- Robert Kosara. 2012. "The visual uncertainty paradigm for controlling screen-space information in visualization." University of North Carolina at Charlotte.
Aritra Dasgupta, Robert Kosara. 2011. "Adaptive Privacy-Preserving Visualization Using Parallel Coordinates." IEEE Transactions on Visualization and Computer Graphics,, vol. 17, no. 12, pp. 2241--2248.
Aritra Dasgupta, Robert Kosara. 2010. "Pargnostics: Screen-space metrics for parallel coordinates." IEEE Transactions on Visualization and Computer Graphics,, vol. 16, no. 6, pp. 1017--1026.
COLLAPSE
Chapter
Aritra Dasgupta. "Experts’ Familiarity Versus Optimality of Visualization Design: How Familiarity Affects Perceived and Objective Task Performance." "Cognitive Biases in Visualizations," pp. 75--86. Springer, Cham, 2018.