Evaluation Capacity Network: Aligning Evaluative Thinking and Practice among Early Childhood Stakeholders

This project aims to provide much needed evidence to non-profit organizations working with vulnerable children and their families in five inner city schools. The All in for Youth initiative is a collaboration of eight organizations offering integrated, multi-dimensional supports to improve academic outcomes and resiliency of vulnerable children, support family health and stability, get communities […]

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Process Improvement for Plasma Transfer Arc Additive Manufacturing

Metal additive manufacturing (MAM) is newly developed manufacturing technology that is faster and more cost-effective compared to traditional methods. Although there are various types for AM, the product quality improvement in plasma transfer arc (PTA) and wire-feed AM processes will be the subject of this project. To achieve this goal, the intern will determine the […]

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Aboveground Storage Tank (AST) tightness testing using statistical approach

The industry partner, Cantest is establishing a new leak detection procedure for analyzing data sources in aboveground storage tanks and statistical learning models to monitor AST shell dynamics and product activity over time. This is an important problem as identifying leak detection is usually associated with various environmental data and records collected from sensitive sensors […]

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Plate tectonics of Eastern Asia in Paleozoic

My research project is focused on the plate tectonics of the East Asian blocks in the Carboniferous Period using paleomagnetic method. Paleomagnetic method is the main tool to provide numerical values for the Earth tectonic evolution. A rock capability to record and maintain an ambient magnetic field in the moment of rock formation provides a […]

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Investigating the effect of a novel regularization technique for neural networks

Despite the fact that neural networks have been widely applied in practice, training such networks can suffer from slow convergence, poor local minima and some other difficulties such as catastrophic forgetting. Such shortcomings severely undermine the applicability and usefulness of neural networks. The objective of this project is to identify the reasons behind such difficulties […]

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Smart Control Valve Development for Viscous Flow Metering

The operation of complex industrial plants is based on the measurement and control of critical process variables. In most process industry applications, the final control element is usually a control valve, which has been identified as often the limiting element in improving performance of the control loop. Wave Control System (WCS) is developing a new […]

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