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