Mohammad S. Alzyout is a Ph.D. candidate in Electrical and Computer Engineering at Oakland University, where he conducts interdisciplinary research at the intersection of Virtual Reality (VR), Augmented Reality (AR), and Human-Robot Interaction (HRI). His work explores how immersive technologies and intelligent robotic systems can be integrated to create realistic, interactive simulations for training, digital twins, and environmental modeling.
As part of his research, Mohammad focuses on environment digitization using photogrammetry, indoor and outdoor scene reconstruction, and immersive simulation development using Unreal Engine. He is also investigating adaptive human-robot interfaces and task-aware perception systems that support natural interaction and remote collaboration.
His current work emphasizes low-cost, automated data acquisition methods using mobile manipulators and UAVs, enabling rapid 3D modeling for VR applications. Mohammad’s research bridges the gap between perception, simulation, and real-time user interaction, contributing to the future of intelligent immersive environments.
