Professor Daniel Quevedo

During his tenure as head of the Automatic Control Chair at Paderborn University, Daniel was responsible for the design and implementation of the entire systems and control curriculum of the Faculty. He took this as an opportunity to modernise course contents and also teaching / learning methods in the BSc and MSc programmes offered. In particular, together with his group, he implemented innovative blended and practice-oriented learning concepts, including open-ending laboratory experiences. Courses offered include:

• Regelungstechnik (Automatic Control)
• Advanced Control
• Advanced Systems Theory
• Networked Estimation and Control
• Topics in Automatic Control

In addition, Daniel has extensive experience with postgraduate student supervision and with coaching of early career academics. A selection of thesis topics is given below, followed by a list of his mentees.

Postgraduate Student Supervision (selection)

Doctorate

• "Distributed model predictive control of modular energy systems", Paderborn University, in collaboration with ABB Corporate Research, Switzerland (2018)
• "Stochastic Predictive Control over Networks", Indian Institute of Technology Bombay, Co-Advisor (2018).
• "Scheduling for networked control", The University of Newcastle Australia, Co-Advisor (2017)
• "Model predictive control of power converters: theory and practice", The University of Newcastle Australia (2012)
• "A unified framework for the analysis and design of networked control systems", The University of Newcastle Australia, Co-Advisor (2009)
• "Optimal source coding with signal transfer function constraints", The University of Newcastle Australia, Co-Advisor (2009)
• "Parsimonious information structures in real time signal processing", The University of Newcastle Australia, Co-Advisor (2008)

Masters (all as co-advisor whilst at Paderborn University)

• "Learning and Optimization for Networked Control Systems" (2019)
• "Generation of Simulation Scenarios for Autonomous Driving using Camera and Laser Data", in collaboration with dSPACE (2019)
• "Control of an Inverted Pendulum using Reinforcement Learning" (2019)
• "Control design for offshore wind turbine load reduction," in collaboration with ForWind - Centre for Wind Energy Research (2018)
• "Control Methods for Platooning with Wireless Communications" (2018)
• "Control in the presence of an eavesdropper" (2018)
• "Robust non-linear model predictive control for mechatronic systems," in collaboration with IAV Automotive Engineering, Germany (2017)
• "Investigation of estimation and control mechanisms for autonomous flight of a drone," in collaboration with Invensity GmbH, Germany (2017)
• "Control of Sphero using computer vision and Raspberry Pi" (2016)

Supervision of Postdoctoral Fellows

• Justin Kennedy, from QUT, since 2021
• Jingyi Lu, from Hong Kong University of Science and Technology China, 2019-2021
• Arun Ramaswamy, from Indian Institute of Science Bangalore, 2017-2020
• Moritz Schulze Darup, from Ruhr University Bochum Germany, 2017-2020
• Alex Leong, from University of Melbourne Australia, 2016-2019
• Burak Demirel, from Royal Institute of Technology Sweden, 2015-2018
• Daniel Dolz, from Universitat Jaume I Spain, 2016