Research Areas

Our lab focuses on several key pillars of Artificial Intelligence.

Multimodal AI

Merging vision, text, and audio to create systems that understand the world as humans do. Examples include Visual Question Answering (VQA) and Image Captioning.

AI Ethics & Bias

Investigating fairness, accountability, and transparency in machine learning models to prevent societal harm and ensure equitable outcomes.

Generative Models

Exploring the creative potential of AI through Large Language Models (LLMs) and diffusion models for generating text, images, and code.

AI for Social Good

Applying advanced AI techniques to solve pressing global challenges in healthcare, education, and environmental sustainability.