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/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 such as 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.