Sound Antidote is developing medical drones with the help of systems engineering, business and research advisors. These systems require long-haul flight times, which will be the case for some of the expected drone flights. The project opportunity provided is intended to develop batteries that are reliable and provided high energy density for long-flight times without […]

The escalating energy demands and increasing impact of emissions on the environment have driven the need for new and environment-friendly alternative fuels in place of the commonly used yet hazardous and depleting fossil fuels. Identification of the suitable hydrogen production method is dependent on two major analysis methods: the analysis of the resources available in […]

The project will investigate image-based 3D reconstruction to infer the 3D geometry and structure of human body and scenes from multiple 2D images. Effective solutions typically require multiple images, captured using accurately calibrated cameras. Stereo-based technique – Multiple View Geometry, for example, require matching features across images captured from slightly different viewing angles, and then […]

Bioethanol is well-established as an alternative to petroleum-based fuels. A current roadblock in ethanol fermentation is end-product inhibition: where the increasing concentration of ethanol slows the growth of the yeast cells and their ability to ferment biomass. There is work being done to use existing separation technologies to remove ethanol throughout the reaction to avoid […]

The applicants propose to develop a new glue that surgeons will use to glue broken bones back together instead of using metal implants like screws and plates. Such a product has been sought for decades because of potential benefits to the surgeons and patients, including ease of operation when reassembly the puzzle of a complex […]

The main objective of this project is to investigate, develop and evaluate state-of-the-art deep-learning algorithms for joint few-shot classification and out-of-distribution (OOD) detection. Few-shot learning deals with the challenges of limited supervision, and OOD detection attempts to identify inputs that do not belong to the set of classes seen during training. The two research problems […]

The proposed research activi~ies aim the chemical and physical characterization of the wax contained in the Caledonia crude oil for the establishment of customized wax remediation alternatives. It also proposes the evaluation of the effectiveness of the optimum remediation treatments through the establishment of the flow performance of the original oil and treated oil in […]

This project proposes to lead an international collaborative effort aiming to provide a method based on a scientific consensus to assess water use in Life Cycle Assessment, aligned with the ISO Draft International Standard 14 046 on water footprinting. It will provide industry with a harmonized methodology to compare potential impacts related to water use […]

Burning of fossil fuels causes serious problems including air pollution and global warming. As a result, harvesting and employing of clean and renewable energies including photovoltaic and wind energies are getting vital and necessary. Harvesting of these energies, although, has its own issues. These clean energies should be converted to the proper form of energy […]

Artificial intelligence (AI) has emerged as an effective tool for resolving real-world problems and has applications in various fields, such as natural language processing, signal processing, and computer vision. The primary purpose of using AI in computer vision is to automatically and robustly convert image or video data into actionable information. This project is looking […]

Atomic Force Microscopy (AFM) is one of the most widely used imaging tools by the researchers and industries to view and characterize tiny objects. This tool uses a very tiny and sharp probe to scan or feel the surface of the specimens and then it produces a topography image of the scanned surfaces. This research […]

Livestock monitoring is a topic of great interest for livestock farming since it would help identify the most appropriate feed cycle, improve and predict animal health, thus reducing investment cost, and providing other important knowledge to improve the breeding process. This research project proposes the development of a non-invasive monitoring system for livestock using video […]