Research

Welcome to the research page of the Dynamics, Stability, Control and Optimization Lab (DySCO Lab), led by Prof. Roberto Guglielmi.

The research interests of the DySCO LabÌýrange from developing efficientÌýcontrol and optimization methods for complexÌýdynamical systems to the application ofÌýmathematical modelling to describe and enhance our understanding of relevantÌýapplicationsÌýto engineering andÌýlife science. To this aim,ÌýweÌýcombine techniques from

  • mathematical modelling and system dynamics;
  • control, stability and optimization theory;
  • analysis and numerical methods for complex dynamical systems, described by either ordinary or partial differential equations;
  • statistical methods and data analysis;
  • machine learning.

The researchÌýof the DySCO LabÌýaddresses problems in three broad focus areas: Environment and sustainability; Health; and Energy sector.

As a result, we addressÌýboth fundamental mathematical questionsÌýon control properties of infinite dimensional systems as well as applications ofÌýmathematical modelling to optimal distribution of utilities over power grids,ÌýroboticsÌýfor environmental monitoring and precision agriculture, pest management strategies,Ìýand statistical analysis of health data.

Below, we present aÌýbriefÌýdescription ofÌýsome current research projects.

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Turnpike phenomena in dynamical systems
Collaborators: Lars Grüne, University of Bayreuth, Germany.
Previous students: Zhuqing Li, Master's student.ÌýLouis (Yi) Lu, URA.
Related funding:ÌýNSERC Discovery Grant, PI, 2021-2026.
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Optimal control of Fokker-Planck equations
Collaborators: Lars Grüne, University of Bayreuth, Germany.ÌýArthur Fleig,ÌýUniversity of Leipzig, Germany.
Students:ÌýYixing (Roger) Gu, Master's student.
Previous students:ÌýPanagiotis Vlachos, Master’s student. Danesh Morales Hashemi, part-time URA.
Related funding: NSERC Discovery Grant, PI, 2021-2026.
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Control of swarm of robots
Collaborators: Gennaro Notomista, University of À¶Ý®ÊÓÆµ, ON, Canada.
Industrial collaborators:ÌýLorcan Technologies.ÌýRealLife Robotics.
Students:ÌýHassaan Qazi, PhD student. Jonathan Gallagher, PhD student. Roman Kaharlytskyi,ÌýMaster’s student.
Previous students:ÌýZiyi Wang, Master’s student.
Related funding: FedDev WISA Grant, Co-applicant, 2023-2024.
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Impulsive control, SIT techniques, parasitoids techniques for pest management
Collaborators: Maria Soledad Aronna, FGV, Rio de Janeiro, Brazil; Alexandre Molter, UniversidadeÌýFederal de Pelotas (UFPEL).
Students: Hassaan Qazi, PhD student. Yixin Zhao, URA, Fredson Aguiar (FGV).
Previous students: Vipin Kumar, postdoc. Rui Yuan, MITACS Globalink Summer Internship. Midi Wang, NSERC USRA undergraduate student.
Related funding: International Research Partnership GrantÌý(IRPG), PI, 2022-2024. FGV Research Grant, Collaborator, 2024-2027.
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Optimal control of Richards’ equations
Collaborators: Marco Berardi, Water Institute - CNR - Bari. Fabio Difonzo, University ofÌýBari, Italy.
Related funding: PrinÌý2022 PNRR, Collaborator, 2023-2026.ÌýInternational Research Partnership GrantÌý(IRPG), PI, 2024-2026.
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Mathematical modelling of power grids
Industrial collaborators:ÌýGrand River Energy,ÌýEnova.
Students: Cameron Carruthers, part-time Master's student.ÌýJoshua Caiata, URA.
Previous students:ÌýAmbar Chakraborty, URA.ÌýRonak Matai, MITACS Globalink Summer Internship URA. Zixuan Zhu, MITACS Globalink Summer Internship URA.

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Exploring Patterns and Predictors of Belonging and Well-being with the Youth Impact SurveyÌý
Collaborators: Dillon Browne, University of À¶Ý®ÊÓÆµ.
Partners:ÌýUNICEF Canada, Region of À¶Ý®ÊÓÆµ.
Students: Awais Choudhary, part-time URA.
Previous students:ÌýWilliam Gao, part-time URA.
Related funding: SSHRC Insight Grant, Co-applicant, 2024-2027.
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School-based NPIs to mitigate the impact of the tripledemics
Collaborators: Zahid Butt, University of À¶Ý®ÊÓÆµ.ÌýTiffany Fitzpatrick, University of Toronto.
Students: Evan Mitchell, postdoc. Haiyan Zhu, URA.
Previous students: William Gao, part-time URA.
Related funding: PHAC Grant, Co-applicant, 2024-2025.