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Personal profile

Biography

I am currently a Lecturer in Control Engineering in the School of Mechanical, Aerospace and Automotive Engineering, Faculty of Engineering, Environment and Computing, Coventry University, UK.

I obtained my PhD degree in Electronics & Electrical Engineering from The University of Melbourne Australia, Melbourne, Australia in 2012, under the supervision of Prof. Erik Weyer, where I worked modelling and control design of river systems. Prior joining Coventry University, I was a Research Fellow in Warwick Integrative Synthetic Biology Centre (WISB), School of Engineering, University of Warwick UK, in the research group of Prof. Declan Bates. from 2015-2018. I was a Postdoctoral Fellow in Asia Pacific Center for Theoretical Physics (APCTP) in Pohang, South Korea from 2012-2015, in the research group of Dr. Pan-Jun Kim, where I worked on deciphering the core genetic architecture of plant circadian system.

My primary research interests are dynamical systems modelling and control of biological system. I have mostly studied on plant gene regulatory network and my research mainly focuses on application of engineering design principles for synthetic biology application to improve crop productivity.

Research Interests

  • Modelling of Dynamical Systems 
  • System Identification and Network Inference
  • Application of Control Engineering to Biological, Medical and Industrial Problems
  • Systems and Synthetic Biology

Education/Academic qualification

Electronics & Electrical Engineering, Doctorate, University of Melbourne

20072011

External positions

Honorary Research Fellow, University of Warwick

1 Oct 201830 Sep 2021

Fingerprint Dive into the research topics where Mathias Foo is active. These topic labels come from the works of this person. Together they form a unique fingerprint.

  • 3 Similar Profiles
Controllers Engineering & Materials Science
Identification (control systems) Engineering & Materials Science
Feedback control Engineering & Materials Science
Chemical reactions Engineering & Materials Science
Rivers Engineering & Materials Science
Robustness (control systems) Engineering & Materials Science
Genes Engineering & Materials Science
Control systems Engineering & Materials Science

Network Recent external collaboration on country level. Dive into details by clicking on the dots.

Projects 2019 2020

Research Output 2004 2019

  • 114 Citations
  • 7 h-Index
  • 18 Article
  • 12 Conference proceeding
  • 6 Chapter
  • 1 Other
1 Citation (Scopus)
27 Downloads (Pure)

Modelling and Control of Gene Regulatory Networks for Perturbation Mitigation

Foo, M., Kim, J. & Bates, D., 29 Mar 2019, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 16, 2, p. 583-595 13 p., 8254368.

Research output: Contribution to journalArticle

Open Access
File
Gene Regulatory Networks
Gene Regulatory Network
S-system
Genes
Perturbation
40 Downloads (Pure)

PID and state feedback controllers using DNA strand displacement reactions

Paulino, N., Foo, M., Kim, J. & Bates, D., 1 Oct 2019, In : IEEE Control Systems Letters. 3, 4, p. 805-810 6 p., 8721529.

Research output: Contribution to journalArticle

Open Access
File
State feedback
State Feedback
DNA
Nucleic acids
Controller
1 Citation (Scopus)

Robustness analysis of a nucleic acid controller for a dynamic biomolecular process using the structured singular value

Paulino, N., Foo, M., Kim, J. & Bates, D., Jun 2019, In : Journal of Process Control. 78, p. 34-44 11 p.

Research output: Contribution to journalArticle

Structured Singular Value
Robustness Analysis
Nucleic acids
Dynamic Process
Robustness (control systems)
2 Citations (Scopus)
7 Downloads (Pure)

A Framework for Engineering Stress Resilient Plants Using Genetic Feedback Control and Regulatory Network Rewiring

Foo, M., Gherman, I., Zhang, P., Bates, D. & Denby, K., 15 Jun 2018, In : ACS Synthetic Biology. 7, 6, p. 1553-1564 12 p., 7.

Research output: Contribution to journalArticle

Open Access
File
Pathogens
Feedback control
Controllers
Synthetic Biology
Arabidopsis
1 Citation (Scopus)
17 Downloads (Pure)

Computationally Efficient Modelling of Stochastic Spatio-Temporal Dynamics in Biomolecular Networks

Kim, J., Foo, M. & Bates, D. G., 22 Feb 2018, In : Scientific Reports. 8, 1, 1 p., 3498.

Research output: Contribution to journalArticle

Open Access
File
Molecules
Molecular interactions
Computational efficiency
Trajectories
Kinetics