Reza Moradinezhad

Drexel University, University of Mazandaran

Papers

Total Citations

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About

Reza Moradinezhad’s research bridges the frontiers of human-computer interaction and robotics, with a focus on trust dynamics in virtual agents and intelligent kinematic systems. His most cited work, “Investigating Trust in Interaction with Inconsistent Embodied Virtual Agents” (2021, 11 citations), explores how behavioral inconsistencies in virtual agents erode user trust—a critical insight for designing more reliable and persuasive embodied AI systems. In parallel, his earlier research “Kinematic Synthesis of Parallel Manipulator via Neural Network Approach” (2019, 7 citations) demonstrates a novel application of Artificial Neural Networks (ANNs) to solve inverse kinematic equations for a Tricept parallel mechanism with two rotational and one translational degrees of freedom. This work offers an efficient, data-driven alternative to traditional analytical methods, advancing the field of robot control. Together, these contributions highlight Moradinezhad’s interdisciplinary impact: from shaping trust in human-agent interactions to optimizing robotic motion planning. His work is particularly relevant for researchers in social robotics, virtual reality, and computational kinematics, offering both theoretical foundations and practical tools for next-generation autonomous systems.