McCoy recognizes U of A’s capability in engineering informatics and has approached U of A to conduct a joint research program to investigate a methodology applicable to McCoy’s unique business practice nature for implementing a new enterprise resources planning system. The most challenging research aspect of novelty is the requirement of a neutral information model that is to be […]

Solutions proposed by software engineering researchers are not usually used by practitioners due to the lack of tool support. The research software Dione was developed as a solution to this problem. Dione is a platform agnostic integrated software analytics solution to tackle this problem. We have implemented prediction models for effort estimation and defect prediction […]

Additive manufacturing (AM) is a promising field as a sustainable alternative to traditional manufacturing processes for the aerospace sector because of the potential of low buy-to-fly ratio on materials. Cold spray offers the potential for AM of titanium parts due to its large deposition rates compared with current AM methods. However, some hurdles are found […]

Particulate matter emitted from combustion engines is a problem due to negative health effects, effect on climate, and reduction of visibility. Soot is a type of particulate matter that is of particular concern to climate scientists and automobile manufacturers. Previously, it was difficult to measure the amount of material that is not black carbon on […]

The proposed project is to develop a design tool box with the cooperation R&D team in Transtex Composite, research fellow and academic supervisor. The design toolbox help the engineers in design department of Transtex Composite to design the trailer tail structure based on finite element analysis to be developed by research fellow. Therefore, this package […]

Globally, brain-related diseases such as Alzheimer’s disease and Epilepsy have a huge toll on patients, loved ones, and healthcare systems. The research project aims to establish a model to better diagnose neurodegenerative diseases. There is a wealth of clinical test data, symptoms, and observations associated with the long list of neurodegenerative diseases. In order to better […]

Autonomous vehicles process the data received from their sensors to recognize the road and the obstacles in their perception module, and determine the desired route via the decision making module. Then, in the path planning module, they plan a path so that the vehicle follows the route while it observes the rules, avoids obstacles, and […]

Rupture of cerebral aneurysms often leads to mortality or sever morbidity in most cases. Pathogenesis of aneurysms has been attributed to abnormal flow-induced forces that act on the vessel walls. These forces are typically measured by first recreating patient’s aneurysm model from medical images, and, afterwards, using these as input for computational fluid dynamics (CFD) to […]

Blood is composed primarily of cells (red blood cells, white blood cells, platelets, etc.) and plasma (the fluid in which the cells are suspended). Health care providers commonly require the components of blood to be separated before performing tests; currently, this requires blood samples be taken to a medical laboratory for processing. Recent advances in […]

This research focuses on the optimization of parallel mechanisms, a specific class of robotic mechanisms, such that an optimal design guarantees that a desired task, having certain requirements, is able to be completed by the mechanism. The Inria Sophia Antipolis Coprin project (now the Hephaistos project) have worked on the development of interval analysis algebraic geometry […]

Different types of the interconnected suspension systems have been suggested, designed and demonstrated. Although the ample work has been done in the area of interconnected suspension, the work for overcoming or satisfying practical limitations and commercialization of the suspension considering all the space and size constraints is not sufficient. The proposed research work involves In-Lab […]

The precise prediction of fluid behavior is required in many fields of engineering. Fluid flows are governed by a complex system of continuous partial differential equations (PDEs) which rarely have an exact analytical solution. Computational Fluid Dynamics (CFD) has emerged as a leading method of analyzing fluid flows, by numerically solving the respective PDEs. Current […]