Scholar
Ridwan Mahbub
Google Scholar ID: LKMc1l8AAAAJ
M.Sc Student, York University
Citations & Impact
Citations
19
H-index
2
i10-index
1
Publications
8
Co-authors
15
list available
Publications
Resume (English only)
Academic Achievements
- Publications:
- 1. From Charts to Fair Narratives: Uncovering and Mitigating Geo-Economic Biases in Chart-to-Text, EMNLP 2025.
- 2. The Perils of Chart Deception: How Misleading Visualizations Affect Vision-Language Models, IEEE VIS 2025.
- 3. DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards, PrePrint.
- 4. Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?, ACL 2025.
- 5. Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization, EMNLP 2023.
- 6. A Comparative Analysis of Efficient Convolutional Neural Network Based Methods for Plant Disease Classification, ICCIT 2022.
- Awards:
- 1. Best Short Paper Award at IEEE VIS 2025.
Research Experience
- Work Experience: Interning at National Research Council Canada; Research Project: Leveraging Vision Language Models to generate animated data videos.
Education
- Degree: Master's; School: York University, Canada; Advisor: Dr. Enamul Hoque; Time: 2024-Present; Major: Computer Science.
Background
- Research Interests: NLP, LLM, Data Visualization. Background: A second-year MSc student in Computer Science at York University, Canada, under the supervision of Dr. Enamul Hoque. Research focuses on developing ethical data visualization techniques powered by Large Language Models.
Miscellany
- Personal Interests: Not specified.
