Professor Daniel Quevedo

Profile image of Professor Daniel Quevedo

Faculty of Engineering,
School of Electrical Engineering & Robotics


Personal details

Positions

Professor in Cyberphysical Systems
Faculty of Engineering,
School of Electrical Engineering & Robotics

Keywords

Networked Systems, Systems and Control Theory, Cyberphysical systems, Cyberphysical Security, Control of Power Converters, Model Predictive Control

Discipline

Applied Mathematics, Electrical and Electronic Engineering

Field of Research code, Australian and New Zealand Standard Research Classification (ANZSRC), 2008

Qualifications

  • PhD (University of Newcastle)

Professional memberships and associations


Teaching

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


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

  • Jingyi Lu, from Hong Kong University of Science and Technology China, since 2019
  • 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

Experience

Publications

QUT ePrints

For more publications by Daniel, explore their research on ePrints (our digital repository).

View more publications

Awards

Supervision