Developing a Framework for Sustainable and Decarbonized Mid-Rise Building

Mid-rise buildings offer a sustainable and cost-effective solution for increasing urban density without putting too much strain on city infrastructure. In Canadian cities with booming populations like Montreal, Toronto, and Vancouver, mid-rise buildings are particularly beneficial. However, creating mid-rise buildings that are both decarbonized and sustainable is a complex challenge. It involves overcoming hurdles in […]

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Coalescence Free Surfaces

Water injection in the industrial gas turbines is frequently used to improve the turbine performance during hot days. Injected water evaporates in the compressor section providing effective cooling leading to increased gas density and improved performance. Water injection technology poses several technological challenges. The injection system needs to be optimized to provide a uniform droplet […]

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Exploring LLMs as a Foundation for Next-Generation Clinical Decision Support Systems  

The proposed project aims to develop an AI-powered Patient Assessment and Diagnostic (PAD) tool aimed at aiding in the diagnosis and management of chronic women’s health conditions. Leveraging Large Multi-Modal Models (LMMs), the project seeks to streamline the diagnostic process for hormonal health conditions, addressing the significant gap in timely healthcare access faced by millions […]

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Development of State-Space Models for Predicting Insurance Risk of Accidents in Autonomous Vehicles Based on Telematics Data and Improvements to Existing Modeling Approaches

The development of autonomous vehicles and telematics is transforming the auto insurance sector. Reports highlight Tesla’s insurance ventures predicting a significant revenue share. This shift is underpinned by telematics, which offers detailed insights into driving behaviors and vehicle usage, essential for autonomous vehicle insurance risk assessments and pricing. The research in this domain, especially in […]

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Development of the Neural Network-Based Index Insurance : A Focus on Climate Change Risk Management

This project focuses on enhancing agricultural resilience to climate change by incorporating neural network-based optimization into weather index insurance designs. By utilizing advanced machine learning techniques, the initiative aims to improve the accuracy and appeal of insurance products for the agricultural sector, which is highly vulnerable to climate-induced weather unpredictability. The collaboration involves academia and […]

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Interdisciplinary design of music recommender systems for the enhancement of discoverability of under-represented music cultures

CEIMIA is an international non-profit organization that mobilizes expertise and resources to promote the development and responsible use of artificial intelligence for the benefit of humanity. One of CEIMIA’s role is to establish supportive connections between key players in the national and international AI ecosystems, while promoting diversity and inclusion in all their projects.

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Machine learning techniques for developing virtual sensors of water flow rates in building cooling systems

The scope of this project is the development of virtual sensors that use mathematical models along with measurements data from the Building Automation System, and can be installed in mechanical cooling systems pf large commercial and institutional buildings, instead of electromagnetic or ultrasonic water flow meters. The proposed virtual sensors would provide a low-cost, practical, […]

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Finetuning an Embedding Model for RAG in the Construction of Minority Languages

This project seeks to bring a PhD student from Yonsei University, South Korea, to Concordia University for research focused on developing an AI-powered automated construction site monitoring technology. Building upon the applicant’s expertise gained during their studies in South Korea, we aim to establish a Large Multimodal Model capable of generalizing object recognition, meeting Level […]

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Diet-ESP: Compressed Profile for IPv6/IPsec over the 5G Fronthaul

This research project aims to speed up 5G networks by making the way IPv6 and IPsec are used more efficient, especially over important critical interfaces in the Radio Access Networks (RAN). We plan to fully specify Diet-ESP, a simpler and lighter form of IPsec that takes up less space by using new compression methods. We […]

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Development of a Strategy to Design and Optimize a Non-Licensed UHF Band System for Operations under Harsh Environment for Localization Applications

Two antennas will be designed at 915 MHz to be installed in a small cavity within the body of an equipment used for underground operations. The two antennas are expected to provide reasonable operating bandwidth and radiation efficiency to radiate through lossy polyurethane used for protection, metallic cavity surrounding the antennas, and the conductive equipment […]

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