Personal details

Name
Professor Daniel Quevedo
Position(s)
Professor in Cyberphysical Systems
Science and Engineering Faculty,
School of Electrical Engineering & Robotics
Discipline *
Applied Mathematics, Electrical and Electronic Engineering
Email
Location
View location details (QUT staff and student access only)
Identifiers and profiles
ORCID iD LinkedIn
Qualifications

PhD (University of Newcastle)

Professional memberships
and associations
Keywords

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

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

Biography

For almost 20 years Daniel has been working at the forefront of theoretical foundations and applications of systems and control, with special emphasis on networked cyberphysical systems. He has co-authored a book, over 240 publications in top journals and conferences, and holds three commercial patents. Throughout his career, he has received a number of prestigious research awards, most prominently the 2018 George S. Axelby Outstanding Paper Award. This prize recognizes the best paper published during the past two years in the IEEE Transactions on Automatic Control, the finest journal in systems control. Daniel has attracted over 2 million dollars in competitive research funds within Australia and Germany since 2009.

 

Academic Experience:

Daniel received Ingeniero Civil Electrónico and M.Sc. degrees from Universidad Técnica Federico Santa María, Valparaíso, Chile, in 2000, and in 2005 the Ph.D. degree from the University of Newcastle in Australia.  Upon being awarded the PhD degree, he held several research positions at Newcastle, including a five-year fellowship from the Australian Research Council. The outlook of being in a position where he can have a more significant impact on University endeavours and society motivated him, in 2015, towards taking up an offer to establish and lead the Chair in Automatic Control at the Faculty of Computer Science, Electrical Engineering and Mathematics of Paderborn University in Germany. Since 2020 he has been Professor in Cyberphysical Systems at the School of Electrical Engineering and Robotics, Queensland University of Technology (QUT), Brisbane, Australia.

 

Research Areas:

Daniel was drawn towards control systems, due to the wide applicability of systems thinking and feedback. Systems control is about the interaction of the digital and the physical environment. Its power derives from employing suitable abstractions which allow one to design systems beyond disciplinary boundaries. His main focus has been on the design of networked cyberphysical systems with feedback. In particular, he has contributed to the understanding and development of:

  • estimation and control using wireless networks
  • event-triggered and self-triggered operation
  • security and privacy of cyberphysical systems
  • cyberphysical human systems
  • control of power converters

To be able to solve complex problems, he has pursued cross-disciplinary research projects with colleagues from Electrical Engineering, Telecommunications, Mechanical Engineering, Computer Science, Applied Mathematics, and from Behavioural Economics.

 

Selected List of Presentations

Over the last decade, Daniel has been invited to share research findings and perspectives at a number of prestigious Universities and research centres around the world. Titles of some of the seminars include:

  • Predictive Control Methods for Networked Cyber-Physical Systems
  • Deep Reinforcement Learning for Networked Estimation and Control
  • Remote State Estimation with an Eavesdropper
  • Model Predictive Control Design for Power Electronics: Perspectives and Challenges
  • Control with Limited Communication and Processing Resources
  • Transmission Scheduling for State Estimation and Control With an Energy Harvesting Sensor
  • Quantized Moving Horizon Optimization with Applications to Networked Control
This information has been contributed by Professor Daniel Quevedo.

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
This information has been contributed by Professor Daniel Quevedo.

Experience

The wide applicability of systems and control concepts methods has allowed Daniel to work on a number of cross-disciplinary collaborative research projects with colleagues from around the globe.

 

Externally Funded Research Grants

  • Network-Informed Control – Control-Informed Network:
    Towards Multi Technology Dynamically Changing Networks
    (2020-2022)
    •  jointly with Rolf Findeisen (Otto-von-Guericke University Magdeburg, Germany) and Falko Dressler (Technical University Berlin, Germany)
    • Funding Body: DFG (German Research Foundation)
    • Keywords: cyberphysical systems; networked control
  • Privacy-preserving Collaborative Control and Optimization in Vehicular Ad Hoc Networks (2019-2021)
  • Network-Informed Control – Control-Informed Network (2016-2019)
    • jointly with Rolf Findeisen (Otto-von-Guericke University Magdeburg, Germany) and Holger Karl (Paderborn University Germany)
    • Funding Body: DFG (German Research Foundation)
    • Keywords: cyberphysical systems; networked control
  • Distributed Model Predictive Control of Modular Energy Systems (2014-2018)
  • Robust Control of Power Electronics and Drives:
    A Synthesis of Traditional and Model Predictive Control Approaches
    (2011-2013) 
    • jointly with Graham Goodwin (University of Newcastle)
    • Funding Body: ARC (Australian Research Council)
    • Keywords: predictive control, power converters
  • Feedback Architectures with Parallel Communication Channels (2009-2013)
    • Funding Body: ARC (Australian Research Council)
    • Keywords: networked control systems, model predictive control, source coding

 

Selected List of Collaborators (with joint publications since 2015)

  • Africa
    • Toit Mouton, Stellenbosch University, South Africa
  • The Americas
    • Vijay Gupta, University of Notre Dame, USA
    • Pablo Lezana, Universidad Técnica Federico Santa María, Chile
    • George Pappas, University of Pennsylvania, USA
    • Takashi Tanaka, The University of Texas at Austin, USA
  • Asia
    • Debasish Chatterjee, Indian Institute of Technology Bombay
    • Jiming Chen, Zhejiang University, China
    • Keck Voon Ling, Nanyang Technological University, Singapore
    • Masaaki Nagahara, The University of Kitakyushu, Japan
    • Ling Shi, Hong Kong University of Science and Technology
    • Junfeng Wu, Zhejiang University, China
    • Lihua Xie, Nanyang Technological University, Singapore
  • Australia
    • Ricardo Aguilera, University of Technology Sydney
    • Minyue Fu, The University of Newcastle
    • Dragan Nešić, The University of Melbourne
  • Europe
    • Anders Ahlén, Uppsala University, Sweden
    • Carlos Canudas de Wit, CNRS, France
    • Subhrakanti Dey, Maynooth University, Ireland
    • Rolf Findeisen, Otto-von-Guericke University Magdeburg, Germany
    • Tobias Geyer, ABB Corporate Research, Switzerland
    • Karl Henrik Johansson, Royal Institute of Technology, Stockholm
    • Jan Østergaard, Aalborg University, Denmark
This information has been contributed by Professor Daniel Quevedo.

Publications

  • Ding K, Ren X, Quevedo D, Dey S, Shi L, (2020) Defensive deception against reactive jamming attacks in remote state estimation, Automatica p1-11
  • Leong A, Ramaswamy A, Quevedo D, Karl H, Shi L, (2020) Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems, Automatica p1-8
  • Schulze Darup M, Redder A, Quevedo D, (2019) Encrypted cooperative control based on structured feedback, IEEE Control Systems Letters p37-42
  • Demirel B, Leong A, Gupta V, Quevedo D, (2019) Tradeoffs in stochastic event-triggered control, IEEE Transactions on Automatic Control p2567-2574
  • Leong A, Quevedo D, Dey S, (2018) Optimal Control of Energy Resources for State Estimation Over Wireless Channels
  • Lopez A, Quevedo D, Aguilera R, Geyer T, Oikonomou N, (2018) Limitations and accuracy of a continuous reduced-order model for modular multilevel converters, IEEE Transactions on Power Electronics p6292-6303
  • Mishra P, Chatterjee D, Quevedo D, (2018) Sparse and constrained stochastic predictive control for networked systems, Automatica p40-51
  • Peters E, Quevedo D, Fu M, (2016) Controller and scheduler codesign for feedback control over IEEE 802.15.4 networks, IEEE Transactions on Control Systems Technology p2016-2030
  • Nagahara M, Quevedo D, Nesic D, (2016) Maximum hands-off control: A paradigm of control effort minimization, IEEE Transactions on Automatic Control p735-747
  • Aguilera R, Quevedo D, (2015) Predictive control of power converters: Designs with guaranteed performance, IEEE Transactions on Industrial Informatics p53-63

For more publications by this staff member, visit QUT ePrints, the University's research repository.

Awards

Awards and recognition

Type
Academic Honours, Prestigious Awards or Prizes
Reference year
2018
Details
"IEEE CSS George S. Axelby Outstanding Paper Award" This prize recognizes the best paper published during the past two years in the IEEE Transactions on Automatic Control, the finest journal in systems control. Papers are judged based on originality, potential impact on the theoretical foundations of control, importance and practical significance in applications, and clarity. http://ieeecss.org/awards/george-s-axelby-outstanding-paper-award
Type
Keynote Speaker/Expert Panel Member/Invited Speaker for a Conference
Reference year
2015
Details
Semi-Plenary Speaker at the 5th IFAC Conference on Nonlinear Model Predictive Control
Type
Keynote Speaker/Expert Panel Member/Invited Speaker for a Conference
Reference year
2015
Details
Keynote Speaker at the IEEE International Symposium on Predictive Control of Electrical Drives and Power Electronics
Type
Visiting Professorships/Fellowships
Reference year
2016
Details
Visiting Professor, Systems and Control Engineering, Indian Institute of Technology Bombay
Type
Visiting Professorships/Fellowships
Reference year
2017
Details
Visiting Professor, Joint International Research Laboratory of Intelligent Information Processing and System Integration of IoT
Type
Editorial Role for an Academic Journal
Reference year
2016
Details
Associate Editor of the IEEE Control Systems Magazine
Type
Editorial Role for an Academic Journal
Reference year
2014
Details
Editor of the International Journal of Robust and Nonlinear Control
Type
Editorial Role for an Academic Journal
Reference year
2020
Details
Guest Editor of Special Issue "Model Predictive Control in Energy Conversion Systems," IEEE Transactions on Energy Conversion
Type
Editorial Role for an Academic Journal
Reference year
2019
Details
Guest Editor of Special Issue "Privacy and Security of Cyber-physical Systems," International Journal of Robust and Nonlinear Control
Type
Editorial Role for an Academic Journal
Reference year
2018
Details
Guest Editor of Special Issue "Stochastic Predictive Control," International Journal of Robust and Nonlinear Control