Hamid Tabatabaee

Islamic Azad University Quchan, Islamic Azad University, Mashhad, Amazon (United States)

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About

Hamid Tabatabaee is a researcher whose work bridges artificial intelligence, robotics, and optimization. His key research areas include Persian speech recognition, multimodal optimization, and 3D object generation for robotic perception. Tabatabaee’s most notable contribution is the development of a simple and robust Persian speech recognition system (2008, 5 citations), which stands out for its generality and applicability to real-world robotics tasks, enabling intuitive voice-controlled interactions. He also introduced the Multimodal Lotus Effect Algorithm (2025, 4 citations), a novel optimization method designed to tackle multimodal engineering problems by simultaneously identifying multiple optimal solutions—a critical capability in game theory and robotics. More recently, Tabatabaee has advanced 3D object generation from single unposed RGB images using Gaussian Splatting and hybrid diffusion priors (2025, 1 citation), directly addressing challenges in robotic manipulation, grasping, and autonomous navigation by reconstructing complete geometry and texture. His work consistently emphasizes practical, deployable solutions that enhance robotic perception and decision-making. With a growing citation impact and a focus on cutting-edge multimodal and generative techniques, Tabatabaee is contributing to the next generation of intelligent, autonomous systems.