About Me

I am an Assistant Professor in the School of Computer Science at the Gallogly College of Engineering, University of Oklahoma, where I direct the Data Interaction and Visualization (DIV) Lab. Previously, I was a Postdoctoral Research Fellow and CRA/CCC/NSF Computing Innovation Fellow, working with Dr. Danielle Albers Szafir at the University of North Carolina–Chapel Hill. I received my Ph.D. in Computer Science & Engineering in 2021, advised by Dr. Paul Rosen at the University of South Florida. I also hold an M.S. in Computer Science from the University of South Florida and a Bachelor in Computer Engineering from the University of Mumbai. My work has been recognized with the IEEE VGTC Best Dissertation Award, and my postdoctoral research was supported by the NSF-CRA Computing Innovation 2021 Fellowship. Recent collaborations received a Best Paper Honorable Mention at IEEE VIS 2023, 2025, a Best Short Paper at EuroVis 2024, and honorable mentions for the IEEE VIS VAST Challenge 2017 and an IEEE VIS 2024 poster.

Research Vision

My research lies at the intersection of Information Visualization, Human–Computer Interaction, Machine Learning models, and perception & cognition. The overarching goal is to build perceptual, human-centered frameworks that optimize visualization design, improving decision quality and confidence while offering objective guidance for designers. I combine methods from InfoVis and perception & cognitive science with human-centered evaluation to measure, model, and theorize how people perceive data and visual design. This agenda advances practical, empirically grounded design choices and addresses core challenges such as perceptual variability, design optimization, and information accessibility—ultimately delivering tools and principles that make complex data more understandable and decisions more reliable across audiences and domains.

Teaching

  • CS 4063/5063: Human–Computer Interaction (Spring 2025, Spring 2026 )
  • CS 5970: Information Visualization (Spring 2025, Spring 2026 )

Selected Publications

  • Visual Stenography: Feature Recreation and Preservation in Sketches of Noisy Line Charts

    Rifat Ara Proma, Michael Correll, Ghulam Jilani Quadri, Paul Rosen

  • Distortion-aware Brushing for Reliable Cluster Analysis in Multidimensional Projections

    Hyeon Jeon, Michaël Aupetit, Soohyun Lee, Kwon Ko, Youngtaek Kim, Ghulam Jilani Quadri, Jinwook Seo

  • A Survey on Annotations in Information Visualization: Empirical Insights, Applications, and Challenges

    Md Dilshadur Rahman, Bhavana Doppalapudi, Ghulam Jilani Quadri, Paul Rosen

  • Shape It Up: An Empirically Grounded Approach for Designing Shape Palettes

    Chin Tseng, Arran Zeyu Wang, Ghulam Jilani Quadri, Danielle Albers Szafir

  • A Qualitative Analysis of Common Practices in Annotations: A Taxonomy and Design Space

    Dilshad ur Rahman, Ghulam Jilani Quadri, Bhavana Doppalapudi, Danielle Albers Szafir, Paul Rosen

  • Characterizing Visualization Perception with Psychological Phenomena: Uncovering the Role of Subitizing in Data Visualization

    Arran Zeyu Wang, Ghulam Jilani Quadri, Mengyuan Zhu, Chin Tseng, Danielle Albers Szafir

    Best Paper Honorable Mention (IEEE VIS 2025) 🏆
  • Do You See What I See? A Qualitative Study Eliciting High-Level Visualization Comprehension

    Ghulam Jilani Quadri, Arran Zeyu Wang, Zhehao Wang, Jennifer Adorno, Paul Rosen, Danielle Albers Szafir