Hello there! My name is Ridwan Mahbub. I am a 2nd-year MSc student in Computer Science at York University, Canada, working under the supervision of Dr. Enamul Hoque. My research focuses on developing ethical data visualization techniques powered by Large Language Models. Currently, I’m working on leveraging Vision Language Models to generate animated data videos. I’m also working on domain knowledge infusion into LLMs at the National Research Council (NRC), Canada.

Updates

• Sept 16, 2025: Our work received the Best Short Paper Award at IEEE VIS 2025
• Sept 10, 2025: Staring my internship at the National Research Council Canada

Publications

You can find a full list of my papers on my Google Scholar.

1. From Charts to Fair Narratives: Uncovering and Mitigating Geo-Economic Biases in Chart-to-Text
   EMNLP 2025
   Ridwan Mahbub, Mohammed Saidul Islam, Mir Tafseer Nayeem, Md Tahmid Rahman Laskar, Mizanur Rahman, Shafiq Joty, Enamul Hoque


2. The Perils of Chart Deception: How Misleading Visualizations Affect Vision-Language Models
   IEEE VIS 2025
   Ridwan Mahbub, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Mizanur Rahman, Mir Tafseer Nayeem, Enamul Hoque


3. DashboardQA: Benchmarking Multimodal Agents for Question Answering on Interactive Dashboards
   Preprint, 2025
   Aaryaman Kartha, Ahmed Masry, Mohammed Saidul Islam, Thinh Lang, Shadikur Rahman, Ridwan Mahbub, Mizanur Rahman, Mahir Ahmed, Md Rizwan Parvez, Enamul Hoque, Shafiq Joty


4. LLM-Based Data Science Agents: A Survey of Capabilities, Challenges, and Future Directions
   Preprint, 2025
   Mizanur Rahman, Amran Bhuiyan, Mohammed Saidul Islam, Md Tahmid Rahman Laskar, Ridwan Mahbub, Ahmed Masry, Shafiq Joty, Enamul Hoque


5. Judging the Judges: Can Large Vision-Language Models Fairly Evaluate Chart Comprehension and Reasoning?
   ACL (Industry Track) 2025
   Md Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub, Ahmed Masry, Mizanur Rahman, Amran Bhuiyan, Mir Tafseer Nayeem, Shafiq Joty, Enamul Hoque, Jimmy Huang


6. Deploying Tiny LVLM Judges for Real-World Evaluation of Chart Models: Lessons Learned and Best Practices
   EMNLP (Industry Track) 2025
   Md Tahmid Rahman Laskar, Mohammed Saidul Islam, Ridwan Mahbub, Ahmed Masry, Mizanur Rahman, Mir Tafseer Nayeem, Shafiq Joty, Enamul Hoque, Jimmy Huang


7. Learning or Cheating? Assessing Data Contamination in Large Vision-Language Models
   IEEE MLSP 2025
   Ahmed Masry, Mahir Ahmed, Ridwan Mahbub


8. Unveiling the Essence of Poetry: Introducing a Comprehensive Dataset and Benchmark for Poem Summarization
   EMNLP 2023
   Ridwan Mahbub, Ifrad Towhid Khan, Samiha Shafiq Anuva, Md Shihab Shahriar, Md Tahmid Rahman Laskar, Sabbir Ahmed


9. A Comparative Analysis of Efficient Convolutional Neural Network Based Methods for Plant Disease Classification
   ICCIT 2022
   Ridwan Mahbub, Samiha Shafiq Anuva, Ifrad Towhid Khan, Zahidul Islam