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Makanjuola Ogunleye

Makanjuola Ogunleye was a Ph.D. student in the Department of Computer Science. His advisor was Ismini Lourentzou.

His research focuses on developing collaborative artificial intelligence agents that are trustworthy and can learn, reason, and communicate reliably across language, vision, and embodied environments. His dissertation investigates how agents can use grounded communication signals for vision-language learning, reduce hallucinations through inference-time grounding in 3D environments, and collaborate more efficiently through latent residual belief sharing in multi-agent systems. Together, his work advances the design of AI agents that are not only capable collaborators but also more grounded, efficient, and trustworthy. 

   

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