The Artificial Intelligence & Creative Computation (AIC²) Lab focuses on advancing research at the intersection of artificial intelligence, computational creativity, data-driven intelligence, and human-centered systems. The lab explores how intelligent algorithms can augment creativity, support complex decision-making, and generate innovative solutions across scientific, social, and cultural domains.
AIC² Lab integrates machine learning, deep learning, generative models, and creative computation to develop intelligent systems that learn, adapt, and collaborate with humans in meaningful and responsible ways.
Developing generative models and creative AI frameworks for content generation, design support, and intelligent knowledge creation.
Designing AI systems that enhance human creativity, decision-making, and interaction through explainable and user-centric approaches.
Applying advanced machine learning techniques to analyze large-scale data and support prediction, optimization, and insight generation.
Intelligent Recommendation and Decision Support Systems
Creative AI Models for Text, Image, and Multimedia Generation
Machine Learning Frameworks for Pattern Discovery
Explainable AI Models for Transparent Decision-Making
AI-Driven Analytics for Social and Economic Systems
Dr. Sadia Noureen is the Principal Investigator of the AIC² Lab, with research expertise in artificial intelligence, machine learning, and creative computation. Their work focuses on developing intelligent systems that combine technical rigor with creativity, ethics, and human-centered design. They have contributed to research initiatives addressing innovation, data intelligence, and emerging AI technologies.

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The AIC² Lab welcomes collaboration with academic institutions, industry partners, creative organizations, and research centers interested in joint research and innovation in artificial intelligence, creative computation, and intelligent systems.