Publications

2024

Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri, and Danielle Albers Szafir, "Shape It Up: An Empirically Grounded Approach for Designing Shape Palettes" Proceedings of IEEE VIS 2024. To appear in IEEE Transaction on Visualization and Computer Graphics, 2024
Preprint| PDF | Shape Tool


Dilshad ur Rahman, Ghulam Jilani Quadri, Bhavana Doppalapudi, Danielle Albers Szafir, and Paul Rosen, "A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space" Proceedings of IEEE VIS 2024. To appear in IEEE Transaction on Visualization and Computer Graphics, 2024
Preprint | PDF | Data


Feng Lin, Arran Zeyu Wang, Dilshad ur Rahman, and Danielle Albers Szafir, Ghulam Jilani Quadri, "Striking the Right Balance: Systematic Assessment of Evaluation Method Distribution Across Contribution Types" Proceedings of BELIV Workshop at IEEE VIS 2024.
Preprint


Keke Wu, Ghulam Jilani Quadri, Arran Zeyu Wang, David Kwame Osei-Tutu, Emma Peterson, Varsha Koushik, and Danielle Albers Szafir, "Our Stories, Our Data: Co-designing Visualizations with People with Intellectual and Developmental Disabilities" To be appearing in the Proceedings of ACM SIGACCESS Conference on Computers and Accessibility, 2024
Preprint | PDF


Dilshad ur Rahman, Ghulam Jilani Quadri, Danielle Albers Szafir, and Paul Rosen, "Exploring Annotation Taxonomy in Grouped Bar Charts: A Qualitative Classroom Study" Information Visualization, 2024
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Ghulam Jilani Quadri, "Towards Constructing Frameworks for Task- and Design-Optimized Visualizations" IEEE Computer Graphics and Applications (CG&A), 2024
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Ghulam Jilani Quadri, Arran Zeyu Wang, Zhehao Wang, Jennifer Adorno, Paul Rosen, and Danielle Albers Szafir "Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension" In Proceedings of ACM CHI’ 2024: ACM Conference on Human Factors in Computing Systems, 2024.
Preprint | PDF | Data


Best Short Paper Award (Top 1% submissions)
Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri, and Danielle Albers Szafir, "Revisiting Categorical Color Perception in Scatterplots: Sequential, Diverging, and Categorical Palettes." In Proceedings of EG/VGTC European Conference on Visualization (EuroVis) 2024. Odense, Denmark
Preprint | EuroVis News | DOI

2023

Best Paper Honorable Mention Award (Top 5% submissions)
Hyeon Jeon*, Ghulam Jilani Quadri*, Hyunwook Lee, Paul Rosen, Danielle Albers Szafir and Jinwook Seo, "CLAMS: Cluster Ambiguity Measure for Estimating Perceptual Variability in Visual Clustering." IEEE Transactions on Visualization & Computer Graphics, (Proc. VIS 2023).
Preprint | Demo Interface | Data UNC-CH News
(* - equal contribution)


Dilshad ur Rahman, Ghulam Jilani Quadri, and Paul Rosen, "Exploring Annotation Strategies in Professional Visualizations:Insights from Prominent US News Portals." In Proceedings of VIS’23: IEEE Conference on Visualization. Workshop on Visualization on Communication (VisComm), 2023.
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Chin Tseng, Ghulam Jilani Quadri, Zeyu Wang and Danielle Albers Szafir, "Measuring categorical perception in color-coded scatterplots." In Proceedings of ACM CHI’ 2023: ACM Conference on Human Factors in Computing Systems, 2023.
Preprint | PDF| Project page | Data

2022

Ghulam Jilani Quadri, Jeniffer Adorno, Brenton Wiernik, and Paul Rosen, "Automatic Scatterplot Design Optimization for Clustering Identification." IEEE Transactions on Visualization & Computer Graphics, 2022.
Preprint | PDF | Interactive (Semi-) Automatic Parametrization | Data


Ghulam Jilani Quadri, and Danielle Albers Szafir, "Eliciting High-Level Visual Comprehension: A Qualitative Study." In Poster at IEEE Conference on Visualization, 2022.


Dilshad ur Rahman, Ghulam Jilani Quadri, and Paul Rosen, "A Qualitative Evaluation and Taxonomy of Bar Chart Annotations." In Proceedings of VIS’22: IEEE Conference on Visualization. Workshop on Visualization on Communication (VisComm), 2022.
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2021

Ghulam Jilani Quadri and Paul Rosen, "A Survey of Perception-Based Visualization Studies by Task." IEEE Transactions on Visualization & Computer Graphics, 2021.
Preprint | PDF | Interactive Web Resource


2022 IEEE VGTC Best Dissertation Award
Ghulam Jilani Quadri, "Constructing Frameworks for Task-Optimized Visualizations." Docotoral Dissertation, University of South Florida, 2021.
Dissertation Copy Access | IEEE VGTC

2020

Ghulam Jilani Quadri and Paul Rosen, "Modeling the Influence of Visual Density on Cluster Perception in Scatterplots Using Topology." Transactions on Visualization & Computer Graphics, 2020. Part of the Proceedings of IEEE VIS 2020.
Preprint | PDF | Demo | Data | Talk


Paul Rosen and Ghulam Jilani Quadri, "LineSmooth: An Analytical Framework for Evaluating the Effectiveness of Smoothing Techniques on Line Charts." Transactions on Visualization & Computer Graphics, 2020. Part of the Proceedings of IEEE VIS 2020.
Preprint | PDF | Demo | Data | Talk


Ghulam Jilani Quadri, "Contructing Frameworks for Task-Optimized Visualizations." IEEE VIS Doctoral Colloquim, 2020.

2019

Ghulam Jilani Quadri and Paul Rosen, "You Can’t Publish Replication Studies (and How to Anyways)." In Proceedings of VIS’19: IEEE Conference on Visualization. Workshop on Vis X Vision, 2019.
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Carlos Alvarado, Ghulam Jilani Quadri, Jennifer Adorno, Paul Rosen, and Miguel Labrador "Analysis of Accelerometer Data for Cross-Device Algorithm Support." NSF-REU Undergraduate Poster Colloquium, 2019.


Carlos Alvarado, Ghulam Jilani Quadri, Jennifer Adorno, and Paul Rosen "A Case-Study on Variations Observed in Accelerometers Across Devices." 2019.
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2018

Ghulam Jilani Quadri and Paul Rosen, "Modelling Visual Density in Scatterplot Using Megre Trees." Poster at Data Science Colloquium, College of Business Analytics and Information Science, University of South Florida 2018.

2017

Rahul Paul, Saeed Alhamari, Sulav Malla and Ghulam Jilani Quadri, "Make Your Bone Great Again: A Study on Osteoporosis Classification." In arXiv. 2017.
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Honorable Mention Award for Good Facilitation of Single Image Analysis
Sulav Malla, Anwesh Tuladhar, Ghulam Jilani Quadri and Paul Rosen "Multi-Spectral Satellite Image Analysis for Feature Identification and Change Detection." IEEE Conference on Visual Analytics Science and Technology (VAST), VAST Challenge, 2017.
PDF | USF News


Ghulam Jilani Quadri, Anwesh Tuladhar, Sulav Malla, and Paul Rosen "Visual Analytic Design for Characterizing Air-Sampling Sensor Performance and Oeration." In Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST) 2017.
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Anwesh Tuladhar, Sulav Malla, Ghulam Jilani Quadri, and Paul Rosen "Data Aggregation and Visualization Technique for Traffic Sensor Data." In Proceedings of IEEE Conference on Visual Analytics Science and Technology (VAST) 2017.
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