Reconfigurable intelligent surfaces (RISs) have emerged as a transformative technology in the sixth-generation (6G) wireless communications. The RIS technology can easily be realized in local area networks and disaster management scenarios where ad-hoc local area networks need to be setup to ensure mission-critical connectivity. The objective of this project is to develop the techniques to […]

The amorphous selenium (a-Se) based active matrix flat-panel imager (AMFPI) has demonstrated promising performance in breast imaging, exhibiting high image quality and dynamic range. However, sensitivity variation due to previous x-ray exposures, known as ghosting, is a common phenomenon in direct conversion detectors, which can lead to the incorrect interpretation of breast images for diagnosis […]

This project is going to digitalize a patented method of presenting the guitar tablature and build an online system to assist guitar teaching. The new method invented by Mr. Mark Vandendool can present the guitar tablature with 8 building clocks. People can easily learn the chores of thousands of songs, which is impossible with the […]

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 […]

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 […]

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 […]

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 […]

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 […]

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.

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, […]

Human perception is a critical part of creativity. This research is based on an observation that a creative solution often connects two remotely related concepts. Therefore, I will focus on the mechanism of human visual perception, particularly the mechanism to connect two objects, in this project. The objective is to be achieved by using the […]

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 […]