Research

We are actively engaged in various research areas, focusing on the development and application of advanced algorithms, methods, and technologies. Our primary research areas include:

• Topic Modeling & Text Mining
  Short-text mining, social media text analysis, educational data, biomedical text mining, fuzzy & neural topic modeling.

• Multimodal AI Applications & NLP for Social Good
  Multimodal misinformation, hateful content and fake news detection, sentiment/opinion/emotion/sarcasm understanding, healthcare behavior analysis from social streams.

• Vision Large Language Models (VLLMs) & Machine Learning
  Vision-language models for medical and social applications, multimodal representation learning, VLLM-based reasoning, predictive modeling for healthcare and social data, deep neural architectures (CNN/RNN/LSTM), fuzzy logic-based decision support.

• Information Retrieval & Semantic Search
  Keyword & semantic-based search, domain-knowledge-driven medical IR, semantic search and ranking, fuzzy clustering and hybrid IR models.

• Biomedical Informatics for Health and Social Care

Feel free to contact me if you are interested in pursuing internships, MS, PhD opportunities, or research collaborations in the relevant areas.