Collaborative Multi-Environment Approach for Systems Integration in Conceptual Aircraft Design

The aviation sector faces the critical challenge of reducing its environmental impact while meeting the growing global demand for air travel. Incremental improvements to conventional propulsion systems will not be sufficient to achieve the industry’s carbon neutrality targets, prompting researchers and aircraft manufacturers to explore novel propulsion concepts designed to significantly reduce aircraft emissions. Among […]

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Enhanced Optical Rulers from Nonlinear SNAP Resonators

This project brings together leading Canadian and European researchers to explore a new type of tiny optical device called a SNAP resonator, which can guide and control light with extreme precision. These devices may play an important role in future technologies such as environmental sensing, low-energy optical computing, and advanced communication systems. During a 12-week […]

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Here, There, and In Between: Remembering Markets in Manila and Montréal

This project examines how the disappearance, relocation, and redevelopment of neighborhood markets in Manila reshape cultural memory, daily routines, and community belonging. Markets such as palengke, sari-sari stores, and small commercial corridors have long served as social infrastructures where familiarity, recognition, and shared practices form through everyday interaction. As many of these spaces are demolished […]

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Influence of habitat complexity on optimal movement choices in wild emperor tamarins (Saguinus imperator) at the Los Amigos Biological Station, Peru

Movements—such as locomotion, gestures, and group coordination—are influenced by individual, social, and environmental factors. Gaining a better understanding of how habitat complexity—defined as the abiotic and biotic components that shape habitat structure—influences movement has the potential to generate new knowledge on an understudied species, the emperor tamarin (Saguinus imperator), and, in the context of increasing […]

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Integrating Model-Based Systems Engineering and System Architecture Optimization

Concordia University’s Aircraft Systems Lab and the Institute of System Architectures in Aeronautics at the German Aerospace Center (DLR) will collaborate to develop innovative digital methodologies for aircraft system design. The project bridges two important aspects of engineering product development: model-based systems engineering (MBSE), which unifies complex system representations within a single computational platform, and […]

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Benchmarking Post Quantum Cryptography in Internet of Things

In this project, students are expected to set up a testbed and run experiments to evaluate the impact of integrating post quantum cryptography (PQC) into IoT devices. The evaluation metrics include CPU usage, memory usage, bandwidth usage, and energy usage. Various PQC mechanisms will be evaluated on MQTT over TCP+TLS, including ML-KEM, HQC, ML-DSA, and […]

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IoT device identification using continuous machine learning models

In this project, we will design and develop an IoT device auto-detection model and deploy it on a Raspberry Pi. The model will follow a continuous machine-learning approach and will be trained using an IoT dataset developed in our lab. The Raspberry Pi will function as a Wi-Fi router, allowing IoT devices to connect to […]

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Investigation of strength and performance evaluation of hybrid wide flange (WF) beam-to-box column connections with inner diaphragms

In modern structural engineering, the connection between beams and columns plays a critical role in determining the overall performance and safety of steel structures and using an inner diaphragm is to improve strength and load transfer from beam to column too. This connection of WF beam to box column with inner diaphragm is responsible for […]

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Machine Learning-Based PV and Load Forecasting for Power System Optimization: Using real data in Cambodia with IEEE 9-Bus Validation

The growing number of renewable energy sources in Cambodia, such as solar farms, makes it more difficult to schedule power system operations to satisfy demand and save operating costs. Forecasting is one way to manage energy. An excessively high prediction accuracy indicates that managing the spatial energy in Economic Dispatch (ED) and Optimal Power Flow […]

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Analytical Assessment of Bond Resistance and Failure Modes of Post-Installed Bundled GFRP bars in Concrete

Glass Fiber Reinforced Polymer (GFRP) bars have become increasingly important in civil engineering due to their exceptional resistance to corrosion, high strength-to-weight ratio, and durability when compared to traditional steel reinforcement. This has led to widespread adoption, particularly for the rehabilitation and strengthening of existing structures. Previous research has explored the mechanical performance and bond […]

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