Real-time Trajectory Tracking Controller of an Aircraft using Imitation NMPC

Autonomous flying vehicles are the future of aerospace industry. They require a robust trajectory tracking algorithm capable of finding an optimal solution in real-time. Optimal control, such as Nonlinear Model Predictive Control (NMPC) is a powerful technique which can handle the nonlinearities of a system by including the restrictions and constraints of its states and […]

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Journalistic Role Performance in Climate Change Reporting

Journalists, when curating news, typically rely on enacting certain “voices” and frame content according to established norms. Using Claudia Mellado’s Journalistic Role Performance methodology — which has divided all journalistic roles into the following categories: the watchdog, citizen-watchdog, the loyal-facilitator, the interventionist-disseminator, the service, the infotainment and the civic roles — evaluate common journalistic roles […]

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Encrypted control for Cyber-Physical Systems

The project is devoted to make encrypted control systems more practical and valuable to the industry and ensure the security of safety-critical industrial control systems. The research outcome is the development of a novel computationally efficient and secure MPC-based encrypted control system that is appealing to a wide range of safety-critical industrial sectors, including but […]

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Ethical Awareness of Japanese Computer Science and Software Engineering Graduate Students on Text-to-Image AI-Generated Art

Text-to-image AI models for AI-generated art has recently gained extensive media coverage and has had a significant impact on Japanese art communities and Japanese digital content sites. I am particularly interested in investigating Japanese computer science and software engineering graduate students’ awareness of ethical issues embedded in the technology necessary to create AI-generated art. This […]

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Control of multi-agent robots: an opinion dynamics approach

The objective of this project is the development of a novel control strategy for multi-agent robots. The objectives are energy saving and efficient robots movements and manoeuvres within clustered environments. To this end, the research intern (with the help of the host and home supervisor) will be in charge of developing a novel distributed control […]

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Proposing targets and limits to urban sprawl as an urban growth management strategy toward sustainability

Urban sprawl has become a major concern in scientific and political discussions because of its many detrimental environmental, economic, and social effects. The current trends in urban sprawl in many countries are in conflict with the spirit and the principles of sustainable development. How can this growing challenge be addressed by future urban growth management […]

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Pipe replacement and rehabilitation optimization method

The research project will develop a pipe replacement and rehabilitation optimization method. The research group is currently developing machine learning models to predict future water main failure. Data has been collected from 13 cities across Canada and represent different conditions and settings. This data is already being cleaned and analysed by a team of graduate […]

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Moving home: Improving reintroduction outcomes and human-capuchin monkey coexistence in Brazilian caatinga and forest fragments.

In this project, we bring together a team of four proposed MITACs globalink student scholars working in Brazil and Canada with supervisors directly involved with the research project. We will begin to fill the gaps in knowledge about successful reintroduction of capuchin monkeys by 1) conducting behavioural research on bearded brown capuchin (*Sapajus libidinosus*) personality […]

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Distributed Positioning and Formation Management Techniques in a Swarm of Robots

In this project, by considering a team of heterogeneous robots available at the host institution, the intern will develop a trajectory planning method that ensures target enclosure in the presence of noisy measurements. Such a planner will leverage a positioning algorithm developed to take advantage of all the robots’ onboard sensors. Specifically, the objective of […]

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ELSTec : Efficient lightweight structures made by automated fiber placement (AFP) of thermoplastic composites

This project deals with the continuation of a project at Concordia University in 2020 via Mitacs Globalink research award. The project investigated different manufacturing scenarios of a thermoplastic skin/grind structure using automated fiber placement (AFP) in the Concordia Center for Composites labs. The thermoplastic skin/grin structure was successfully fabricated via AFP in-situ consolidation. Now, this […]

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Using Pair Distribution Function Analysis for the Characterization of Rare-Earth Metal-Organic Frameworks

This research project consists in obtaining detailed information about the structure of a particular class of crystalline materials named metal–organic frameworks, comprised of inorganic nodes interconnected by organic linkers. Their highly ordered structure allows the use of routine characterization techniques to earn insights about the organization of atoms and molecules within their framework. However, due […]

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