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Duarte Antunes is an Assistant Professor at the Department of Mechanical Engineering at Eindhoven University of Technology (TU/e), focusing on the Control Systems Technology Group. His teaching and research revolve around control theory which involves mathematical formalism to resolve decision-making challenges over time, ensuring that the desired behavior of a system is achieved. Notable applications include advanced technologies where precision is crucial, such as lithography machines achieving nanometer accuracy, autonomous vehicles navigating around obstacles, and systems managing mRNA in biological settings. His research interests are centered on optimal stochastic control in networked control systems. This is especially pertinent for high-dimensional systems that face challenges due to the curse of dimensionality. Antunes is deeply engaged in developing control strategies that approximate optimal solutions for interconnected systems, including drone swarms and smart grids, particularly when latencies and cost implications arise. His commitment stems from an early background in robotics and quadcopters, where he has sought to advance the field towards more effective control solutions. He completed his Licenciatura in Electrical and Computer Engineering at Instituto Superior Técnico (IST) in Lisbon in 2005, where he further pursued a PhD in Automatic Control, graduating with honors in 2011. Antunes has also served as a teaching assistant and post-doctoral researcher, building a robust foundation for his current academic career.
Department of Mechanical Engineering, Eindhoven University of Technology • Eindhoven, Netherlands
Engage in teaching and research focusing on control systems technology, particularly optimal control and robotics.
Hybrid Networked Systems Group, Eindhoven University of Technology • Eindhoven, Netherlands
Conducted research in hybrid systems under the supervision of Maurice Heemels.
Mathematics Department, Instituto Superior Técnico • Lisbon, Portugal
Supported the mathematics department prior to obtaining a PhD.
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