RESEARCH THEMES

 Methodological advances in sentiment analysis, stance detection, sarcasm detection, misinformation and disinformation analysis, low-resource language processing, and the evaluation of Large Language Models in high-impact domains. 

 Research on explainable and responsible AI, algorithmic accountability, risk mitigation, AI governance, and transparency frameworks for high-stakes and safety-critical AI systems. 

 Investigating misinformation and disinformation, online harms, algorithmic amplification, digital trust, media literacy, online misogyny, cyber resilience, and information ecosystems through computational and socio-technical approaches. 

 Harnessing multimodal data, including IoMT biosignals, clinical text, and social media data, for emotion recognition, stress and pain detection, mental health monitoring, early disease detection, and privacy-preserving health AI systems.