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

  • How Do LLMs See Charts? A Comparative Study on High-Level Visualization Comprehension in Humans and LLMs

    Hyotaek Jeon, Hyunwook Lee, Minjeong Shin, Tapendra Pandey, Joohee Kim, Shinwook Seon, Daeun Jeong, Sungahn Ko, Ghulam Jilani Quadri

    PDF

  • Seeing graphs like humans: Benchmarking computational measures and MLLMs for similarity assessment

    Seokweon Jung, Jeongmin Rhee, Seoyoung Doh, Hyeon Jeon, Ghulam Jilani Quadri, Jinwook Seo

    PDF

  • Designing Annotations in Visualization: Considerations from Visualization Practitioners and Educators

    MD Rahman, Devin Lange, Ghulam Jilani Quadri, Paul Rosen

    PDF

  • Redundant is Not Redundant: Automating Efficient Categorical Palette Design Unifying Color & Shape Encodings with CatPAW

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

    Best Paper Honorable Mention (ACM CHI 2026) 🏆
    PDF

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

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

    PDFDOI

  • Discrepancies in Mental Workload Estimation: Self-Reported versus EEG-Based Measures in Data Visualization Evaluation

    Soobin Yim, Sangbong Yoo, Chanyoung Yoon, Chanyoung Jung, Chansoo Kim, Yun Jang, Ghulam Jilani Quadri

    PDF

  • 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) 🏆
    DOIPDF

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

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

    DOIPDF

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

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

    DOIPDFShape Tool

  • 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

    DOIPDFData

  • 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

    DOIPDFData