Acoustic Feature Extraction and Sparse Representation of Neck Fluid Volume (NFV) in Patients with Obstructive Sleep Apnea (OSA)

Obstructive sleep apnea (OSA) is common in 10% of adults and is associated with increased cardiovascular morbidity and mortality. Furthermore, there is a 3-fold increase in OSA prevalence in fluid retaining patients such as those with heart failure. Evolving evidence suggests that fluid accumulation in the neck could narrow the upper airway (UA), increase its […]

Read More
Quantum LiDAR Raytracing

Developing quantum-enhanced LiDAR requires a deep understanding of the water medium’s optical properties, which vary with environmental factors. To address this, an oceanic model was created to estimate system performance based on water’s scattering and absorption traits, though it currently simplifies these as identical. In the proposed project, this will be refined. System analysis is […]

Read More
Composite and foam profiles for building and construction industry: modification of the products and existing extrusion processes

Vision Extrusions Group LTD is a recognized leader in the building products industry. They produce a wide range of products (as shown in Figure 1) including windows, doors, decks, fences, etc. utilizing extruded polymeric profiles as a substitute for wood. In the proposed project, the following objectives have been set by the partner organization to […]

Read More
Optimizing a wireless environmental monitoring system for automated methane quantification in landfills and industrial facilities

Biocovers are earthen structures built into landfills and other industrial facilities to collect and degrade greenhouse gas emissions from the site. They are widely considered one of the most effective ways to combat methane. In order to assess the performance of those biocovers, operators have to attend to the biocover regularly and use a flux […]

Read More
Using Ergonomic AI software to enhance PDA and Ergonomic Programs

Optimization of an ergonomics program within a manufacturing facility. AI camera based system for postural injury risk identification will be utilized to improve productivity and quality of injury risk identification. The project will then continue to applying the RACE Recognize, Assess, Control, Evaluate model. Physical Demands Analysis and process and design solutions for risk reductions […]

Read More
A wireless headset for power-aware EEG/non-EEG signals processing and seizure warning

Epilepsy is a debilitating neurological disorder affecting approximately 50 million people worldwide (World Health Organization). This project proposes to develop a SMART (Seizure Monitoring At the Right Time) Headset for these patients to monitor their brain signal and track their movements, heart rates and breathing patterns. This headset will have new types of sensors suitable […]

Read More
Adaly.AI Generative AI & Data Science Proposal (OTU)

This project focuses on researching and developing an advanced coordination mechanism between our API layers and LLM infrastructure. The goal is to efficiently access and reason across both structured and unstructured data sources to improve customer’s decision-making processes. Success will be measured by the speed in which that data source can be identified, sourced, and […]

Read More
Automated Ichnofabric Analysis with Deep Learning for Marine Core Research

This project proposes a completely novel workflow to automate the detection and quantification of bioturbation (i.e., biological sediment mixing by infaunal organisms) in deep-ocean sediment cores using the proven capabilities of neural networks in complex image interpretation. The new technique will enable precise, objective, and efficient quantification and identification of bioturbation types caused by infaunal […]

Read More
Scalable Quantum-Enhanced Generative Models for Drug Discovery: Extending QCBM with NQS and CUDA Quantum for Multi-target Inhibitor Design

This project proposes a scalable quantum-enhanced generative model for drug discovery, targeting the design of KRAS inhibitors through the integration of Neural Quantum States (NQS), Quantum Circuit Born Machines (QCBMs), and CUDA Quantum acceleration. By replacing traditional quantum circuits with adaptive NQS representations and extending QCBM capacity to 32 qubits, the framework enables more expressive […]

Read More
Toward Accurate Bond Breaking: Revising Natural Orbital Functionals in RDMFT

This project aims to improve computational methods in quantum chemistry by developing better ways to calculate molecular properties. The research focuses on enhancing existing mathematical tools (called functionals) to make them more accurate, especially for molecular fragmentation processes. The project will create user-friendly software that will be freely available to scientists worldwide. For the participating […]

Read More
Examining the construction of masculinity in K-Dramas within a global context

This research project analyzes how South Korean TV dramas, particularly King the Land (2023), portray masculinity and why these representations appeal to Western audiences like those in Canada and Brazil. By studying cinematic techniques and cultural themes, the project aims to understand how these dramas shape global perceptions of South Korean men and culture. The […]

Read More