Minh‐Khai Nguyen

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About

Minh-Khai Nguyen is a leading researcher in real-time optimization and control for resource-constrained robotic systems. His primary contributions lie in model-predictive control (MPC) and embedded code generation, with a focus on making advanced control algorithms practical for small, low-power microcontrollers. Nguyen’s most influential work, “TinyMPC: Model-Predictive Control on Resource-Constrained Microcontrollers” (2024), has already garnered 40 citations, demonstrating its immediate impact. This paper introduced a high-speed MPC solver that enables highly dynamic, constraint-aware control on platforms previously deemed too limited for such computation. Building on this, his follow-up work, “Code Generation and Conic Constraints for Model-Predictive Control on Microcontrollers with Conic-TinyMPC” (2024), extends the framework to handle expressive conic constraints, significantly broadening the modeling power available to embedded systems. Nguyen’s research bridges the gap between theoretical control methods and practical deployment, empowering applications from agile drones to autonomous micro-robots. His work is notable for its focus on code generation, which automates the deployment process, and for addressing the critical challenge of computational efficiency without sacrificing performance. For students and researchers, Nguyen’s contributions represent a vital step toward democratizing advanced control for the next generation of tiny, intelligent machines.