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PhD (University of Newcastle)
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. He is a Fellow of the IEEE. 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:
- Control Engineering for Critical Infrastructure
- Bandit Algorithms for Channel Selection in Remote State Estimation
- Predictive Control Methods for Networked Cyber-Physical Systems
- Deep Reinforcement Learning for Networked Estimation and Control
- 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
Projects (Chief investigator)
- Estimation and control of networked cyberphysical systems
- Model predictive control of connected vehicle platoons
- NICCI: Network-Informed Control – Control-Informed network: towards multi techNology dynamICally ChangIng networks
- Towards Resilient Cyberphysical Systems
Additional information
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
- Bandit Algorithms for Decision Making and Control (2022)
- Funding Body: DSTG (Defence Science and Technology Group, Commonwealth of Australia)
- Keywords: cyberphysical systems, machine learning
- 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)
- jointly with Peng Cheng (Zhejiang University, China) and Jianping He (Shanghai Jiao Tong University, China)
- Funding Body: DFG (German Research Foundation) and NSFC (National Natural Science Foundation of China)
- Keywords: cyberphysical systems, security, privacy, networked control
- 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)
- jointly with Tobias Geyer (ABB Corporate Research Centre Switzerland)
- Funding Body: ABB Corporate Research Switzerland
- Keywords: energy systems, predictive control, power converters
- 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
- 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 Board Member 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
- Ding, K., Ren, X., Quevedo, D., Dey, S. & Shi, L. (2020). Defensive deception against reactive jamming attacks in remote state estimation. Automatica, 113, 1–11.
- Leong, A., Ramaswamy, A., Quevedo, D., Karl, H. & Shi, L. (2020). Deep reinforcement learning for wireless sensor scheduling in cyber-physical systems. Automatica, 113, 1–8.
- Schulze Darup, M., Redder, A. & Quevedo, D. (2019). Encrypted cooperative control based on structured feedback. IEEE Control Systems Letters, 3(1), 37–42.
- Demirel, B., Leong, A., Gupta, V. & Quevedo, D. (2019). Tradeoffs in stochastic event-triggered control. IEEE Transactions on Automatic Control, 64(6), 2567–2574.
- Leong, A., Quevedo, D. & Dey, S. (2018). Optimal Control of Energy Resources for State Estimation Over Wireless Channels. Springer.
- 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, 33(7), 6292–6303.
- Mishra, P., Chatterjee, D. & Quevedo, D. (2018). Sparse and constrained stochastic predictive control for networked systems. Automatica, 87, 40–51.
- 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, 24(6), 2016–2030.
- Nagahara, M., Quevedo, D. & Nesic, D. (2016). Maximum hands-off control: A paradigm of control effort minimization. IEEE Transactions on Automatic Control, 61(3), 735–747.
- Aguilera, R. & Quevedo, D. (2015). Predictive control of power converters: Designs with guaranteed performance. IEEE Transactions on Industrial Informatics, 11(1), 53–63.