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About

Mohammad Moallemi’s research lies at the intersection of discrete-event system specification (DEVS) modeling, real-time embedded control, and robotic systems, with a strong emphasis on practical applications in emergency management and military operations. His most cited work, "Interfacing DEVS and visualization models for emergency management" (8 citations), introduces a novel framework that integrates Cell-DEVS models with DEVS-based robotic agents and immersive visualization environments, enabling autonomous robots to handle emergencies through real-time simulation-driven control. This contribution demonstrates his ability to bridge theoretical modeling with tangible, high-stakes applications. Moallemi further advances the field with his work on RT-DEVS for military contexts (6 citations), where he promotes model reuse and reliability for critical embedded control systems. His development of Embedded CD++ for system-on-chip FPGA implementations (3 citations) showcases his expertise in hardware-in-loop and embedded systems, while his creation of DEVS Graph libraries in Modelica (2 citations) facilitates real-time simulation and UDP communication. Additionally, his cable-anchor robot implementation (2 citations) highlights a cost-effective, modular approach to robotic locomotion. With a total of 21 citations across his top five papers, Moallemi’s work is foundational for researchers exploring real-time, model-based control in robotics and simulation.