A highly motivated and aspiring researcher with a strong background in deep learning, with recent work centered on multimodal learning. Over the past few years, I have actively contributed to the field, publishing research articles in top-tier venues such as ACL and WACV. My primary research interests lie in vision-language models. I have also worked on domain adaptation and federated learning, and continue to explore these areas with strong interest.

• 2026paperMedical VQA paper accepted at ACL Findings 2026.
• 2025paperPaper accepted at AAAI Bridge Program (AI for Medicine, 2026).
• 2025paperR-MMA accepted at WACV 2026.
• 2025awardDIALTSA-BN won Best Long Paper at BLP @ IJCNLP-AACL 2025.
• 2025paperLP-FT-LoRA and DIALTSA-BN accepted at BLP @ IJCNLP-AACL 2025.

• Sep 2, 2023·4 min read

  Diving into Group Theory: Foundations for Equivariant Neural Networks

  Dive into the foundational elements of Group Theory, from understanding the basic properties of groups to exploring the intricacies of subgroups and generators.

• Feb 22, 2023·10 min read

  The Poisson Distribution: Your Key to Predicting the Unforeseeable

  The blog post explores the Poisson distribution, a statistical distribution commonly used in various fields, including astronomy, to model random events. It explains the properties of the distribution, its real-world applications, and provides a step-by-step guide on how to visualize the Poisson distribution using Python. The post also discusses the issue of Poisson noise in astronomical observations and presents a practical example of how to calculate and deal with it using Python.