Aritra Dasgupta
Aritra Dasgupta
Assistant Professor, Data Science
5116 Guttenberg Information Technologies Center
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
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
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
Guess Me If You Can: A Visual Uncertainty Model for Transparent Evaluation of Disclosure Risks in Privacy-Preserving Data Visualization
2019
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
Guess Me If You Can: A Visual Uncertainty Model for Transparent Evaluation of Disclosure Risks in Privacy-Preserving Data Visualization
2019
SHOW MORE
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
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
Dasgupta, Aritra, & Wang, Hong, & Nancy, O'Brien, & Burrows, Susannah (2019). Separating the Wheat from the Chaff : Comparative Visual Cues for Transparent Diagnostics of Competing Models. IEEE Transactions on Visualization and Computer Graphics,
Dasgupta, Aritra, & Poco, Jorge, & Rogowitz, Bernice, & Han, Kyungsik, & Bertini, Enrico, & Silva, Claudio (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,
Burrows, Susannah, & Dasgupta, Aritra, & Reehl, Sarah, & Bramer, Lisa, & Ma, Po-Lun, & Rasch, Philip, & Qian, Yun (2018). Characterizing the relative importance assigned to physical variables by climate scientists when assessing atmospheric climate model fidelity. Advances in Atmospheric Sciences, 35(9), 1101--1113.
Dasgupta, Aritra, & Lee, Joon-Yong, & Wilson, Ryan, & Lafrance, Robert, & Cramer, Nick, & Cook, Kristin, & Payne, Samuel (2017). Familiarity Vs Trust: A Comparative Study of Domain Scientists’ Trust in Visual Analytics and Conventional Analysis Methods. IEEE Transactions on Visualization \& Computer Graphics(1), 1--1.
Dasgupta, Aritra, & Poco, Jorge, & Bertini, Enrico, & Silva, Claudio (2016). Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study. Computing in Science and Engineering, 18, 92--100.
Dasgupta, Aritra, & Poco, Jorge, & Rogowitz, Bernice, & Han, Kyungsik, & Bertini, Enrico, & Silva, Claudio (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,
Burrows, Susannah, & Dasgupta, Aritra, & Reehl, Sarah, & Bramer, Lisa, & Ma, Po-Lun, & Rasch, Philip, & Qian, Yun (2018). Characterizing the relative importance assigned to physical variables by climate scientists when assessing atmospheric climate model fidelity. Advances in Atmospheric Sciences, 35(9), 1101--1113.
Dasgupta, Aritra, & Lee, Joon-Yong, & Wilson, Ryan, & Lafrance, Robert, & Cramer, Nick, & Cook, Kristin, & Payne, Samuel (2017). Familiarity Vs Trust: A Comparative Study of Domain Scientists’ Trust in Visual Analytics and Conventional Analysis Methods. IEEE Transactions on Visualization \& Computer Graphics(1), 1--1.
Dasgupta, Aritra, & Poco, Jorge, & Bertini, Enrico, & Silva, Claudio (2016). Reducing the Analytical Bottleneck for Domain Scientists: Lessons from a Climate Data Visualization Case Study. Computing in Science and Engineering, 18, 92--100.
SHOW MORE
Dasgupta, Aritra, & Poco, Jorge, & Wei, Yaxing, & Cook, Robert, & Bertini, Enrico, & Silva, Claudio (2015). Bridging Theory with Practice: An Exploratory Study of Visualization Use and Design for Climate Model Comparison. IEEE Transactions of Visualization and Computer Graphics, 21(9), 996--1014.
Poco, Jorge, & Dasgupta, Aritra, & Wei, Yaxing, & Hargrove, William, & Schwalm, Christopher, & Huntzinger, Deborah, & Cook, Robert, & Bertini, Enrico, & Silva, Claudio (2014). Visual reconciliation of alternative similarity spaces in climate modeling. IEEE transactions on visualization and computer graphics, 20(12), 1923--1932.
Duffy, Brian, & Dasgupta, Aritra, & Kosara, Robert, & Walton, S, & Chen, Min (2013). Measuring Visual Complexity of Cluster-Based Visualizations. arXiv preprint arXiv:1302.5824,
Dasgupta, Aritra, & Kosara, Adviser- (2012). The visual uncertainty paradigm for controlling screen-space information in visualization. University of North Carolina at Charlotte,
Dasgupta, Aritra, & Kosara, Robert (2011). Adaptive Privacy-Preserving Visualization Using Parallel Coordinates. IEEE Transactions on Visualization and Computer Graphics,, 17(12), 2241--2248.
Dasgupta, Aritra, & Kosara, Robert (2010). Pargnostics: Screen-space metrics for parallel coordinates. IEEE Transactions on Visualization and Computer Graphics,, 16(6), 1017--1026.
Poco, Jorge, & Dasgupta, Aritra, & Wei, Yaxing, & Hargrove, William, & Schwalm, Christopher, & Huntzinger, Deborah, & Cook, Robert, & Bertini, Enrico, & Silva, Claudio (2014). Visual reconciliation of alternative similarity spaces in climate modeling. IEEE transactions on visualization and computer graphics, 20(12), 1923--1932.
Duffy, Brian, & Dasgupta, Aritra, & Kosara, Robert, & Walton, S, & Chen, Min (2013). Measuring Visual Complexity of Cluster-Based Visualizations. arXiv preprint arXiv:1302.5824,
Dasgupta, Aritra, & Kosara, Adviser- (2012). The visual uncertainty paradigm for controlling screen-space information in visualization. University of North Carolina at Charlotte,
Dasgupta, Aritra, & Kosara, Robert (2011). Adaptive Privacy-Preserving Visualization Using Parallel Coordinates. IEEE Transactions on Visualization and Computer Graphics,, 17(12), 2241--2248.
Dasgupta, Aritra, & Kosara, Robert (2010). Pargnostics: Screen-space metrics for parallel coordinates. IEEE Transactions on Visualization and Computer Graphics,, 16(6), 1017--1026.
COLLAPSE
Chapter
Dasgupta, Aritra (2018). Experts’ Familiarity Versus Optimality of Visualization Design: How Familiarity Affects Perceived and Objective Task Performance, Springer, Cham. (pp. 75--86). Springer, Cham