L2M–SOASIS

Mental health remains a significant concern in North America, youth mental health is a particular focus due to academic pressure, social media use, and bullying. SOASIS offers a physical meditation pod and a cellphone application for users to take a short break or customized self care experience, combining AI technology to simulate a holistic user-friendly […]

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L2M AthleteAid

Our solution, AthleteAid is an mobile-app based service which compiles tried and tested medical decision rules and advice into a condensed, easy to follow step by step protocols. These protocols will alleviate stress and provide guidance for parents and coaches making decisions as well as reduce the amount of costly and unneccearry hospital trips. Using […]

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Development of Cost-Effective Solutions for Energy Management in Smart Buildings

The proposed research aims at developing control strategies under the paradigm of Demand Response (DR) in the context of the Smart Grid in order to improve energy efficiency and to reduce operational cost in commercial buildings and communities. The emphasis will be put on consumer side energy management strategies that able to balance energy demand […]

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Detecting Intrusions Stemming from MSFT Co-Pilot in Windows 11

Living-off-the-land binaries (LOLBins) refer to legitimate executables pre-installed with the operating system, like powershell.exe and certutil.exe, exploited by attackers for sophisticated fileless attacks. These attacks, leveraging LOLBins, are often undetectable and pose challenges for detection, incident response, and threat hunting. Microsoft Copilot’s integration as a default tool in Windows 11 adds complexity to the threat […]

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Generating predictive models from advertisements

We want to analyze the data collected about customers in order to better understand their behavior. Such an analysis could reveal which advertisements are more likely to interest the customers, what is the return on investment of an advertisement and what are the advertisements tactics that are the most successful. The advances in machine learning, […]

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Developing an AI editing system for short-form and long-form multilingual video distribution

The project focuses on creating Aview AI, an AI editing tool to bridge the language barrier for content creators expanding globally. This initiative builds upon previous work in AI for content distribution, emphasizing editing tools for seamless transcription, translation, and dubbing. Expected to enhance Aview’s platform, it will equip creators to reach worldwide audiences, boosting […]

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Quantum sensor-based localization system for future urban air mobility

This project is investigation of conventional air vehicle localization using GPS and mobile networks and verification on that their weaknesses in the accurate and seamless localization can be supplemented or strengthened by future quantum sensor-based localization to discover a new blue ocean in the mobility industry.

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Design a post-quantum cryptographic algorithm based on lattice for mitigating quantum computing threats.

Cryptographic algorithms are fundamental tools for securing digital information, with symmetric and asymmetric algorithms serving as the cornerstone of modern encryption techniques. Symmetric algorithms utilize a single key for both encryption and decryption, while asymmetric algorithms employ a pair of keys for these operations. Classical cryptographic algorithms, including RSA and AES, have been extensively utilized […]

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Development of automatic sound-visualized caption across cultural backgrounds

This project aims to benefit society by improving accessibility for viewers who may not be able to receive sound information well from the media content, including DHH viewers. To develop and research for the project, it is necessary to reflect an in-depth and multi-faceted case analysis on the topic of improving sound accessibility. To fulfil […]

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Bolsa Família, or Familiar Bosses? Conditional Cash, Citizenship, and Clientelism in Brazil

In the last decade, “Conditional Cash Transfers” (CCTs) have spread across Latin America. CCTs involve small, monthly cash transfers to poor families on the condition that children attend school and obtain vaccinations. Studies suggest that these transfers are relatively effective at alleviating extreme poverty. But what are their impacts beyond the material realm? This project […]

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