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
2024 Fall 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 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 701B - MASTER'S THESIS
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 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 701B - MASTER'S THESIS
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
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 T (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 M, & Dasgupta, Aritra, & Reehl, Sarah, & Bramer, Lisa, & Ma, Po-Lun, & Rasch, Philip J, & 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 H. (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 T (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 M, & Dasgupta, Aritra, & Reehl, Sarah, & Bramer, Lisa, & Ma, Po-Lun, & Rasch, Philip J, & 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 H. (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 R, & Huntzinger, Deborah N, & Cook, Robert, & Bertini, Enrico, & Silva, Claudio T (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- Robert (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 R, & Huntzinger, Deborah N, & Cook, Robert, & Bertini, Enrico, & Silva, Claudio T (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- Robert (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