Intensifying Mass Transfer and Flotation Rates in Multiphase Contactors/Reactors

The proposed project mainly focuses on developing an innovative gas/liquid contacting technology that is of critical importance to a wide range of process industries and environmental-management operations. Successful development and implementation of this project are expected to: • Reduce the environmental impact of a variety of operations that are needed to meet human needs and […]

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Timber-based DfMA Façade Components for Factory-in-a-Box(FIAB) based DM technologies

Digital Manufacturing is expensive due to the initial capital costs related to the digitally able machines and robots. This entails that the segment of the construction sector that is rapidly adopting these technologies to meet the productivity and ecological goals of the Construction Sector is largely restricted to large businesses – large Architectural, Engineering and […]

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Reliability Improvement of Gallium Nitride (GaN) Devices

Gallium Nitride (GaN) semiconductors are more and more being used in switching power devices and the GaN transistors are the promising candidate of next-generation power devices that can substitute Silicon (Si) devices. However, this young technology suffers from reliability difficulties. The aim of this research work is to contribute to the understanding of the properties […]

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Optimization of an Industrial-scale Water Atomization Process to Produce High-Grade Metal Powders

Powder Metallurgy (PM) and Metal Additive Manufacturing (Metal AM) are sets of processes to produce net-shape or near-net-shape metal parts from metal powders, and so they offer material and energy saving. These processes, however, require powders of strict specifications like particle size distribution and shape. Water Atomization (WA) of a molten metal is a cost-effective […]

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Machine learning assisted quantum chemistry for Orquestra

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

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Machine learning assisted quantum chemistry for Orquestra – Year two

Unsupervised machine learning has recently been introduced into the field of quantum many-body physics. A strategy based on generative models has been particularly successful in the data-driven learning of quantum states. In this proposal, we aim to adapt this technology to applications in quantum chemistry. The primary focus of this research will be on the […]

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High Efficiency GaN RF Power Amplifiers for 5G and Beyond Applications

This research project will be a collaborative effort to explore, understand, and capitalize on the growing market shift from Laterally Diffused Metal Oxide Semiconductors (LDMOS) to Gallium Nitride (GaN)-based radio units in the base station market, which is ever-growing with the increased demand for 5G. The intern will be trained on simulation, measurement, design, and […]

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Infra-Climate Hybrid Bridge Design System

Integral Abutment Bridges (IABs) are unique structures in the sense that they are rigid compared to typical bridges that have bearing connections. Bridges are designed to withstand forces sourcing from its own weight and ongoing traffic as well as temperature forces. As the temperature varies (cyclic in nature), the bridge experiences contraction and expansion forces […]

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Machine learning for real-time parameters estimation and control of robotic laser cleaning

Surface cleaning is a technology used in a wide variety of industries, from heavy manufacturing and the energy sector through to conservation and restoration. Historically, technologies such as sandblasting and pressure washing have been used which have significant environmental and waste challenges. More recently, laser ablation has been used for surface cleaning. This last technology […]

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Advance WAAM for hybrid manufacturing and additive repair purposes

Nowadays, the need for newer, more flexible, and efficient production methods is higher than ever. As a disruptive manufacturing technology, powder-based additive manufacturing (AM) systems are best suited for the fabrication of complex but small components. The limited enclosed working envelope of the powder-based AM processes, along with their low deposition rate, hinder their capabilities […]

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Business Strategy Intern

My internship require me to do the research to determine the product-market fit. I am currently engaged in initiating the CRM platform for the company (Hubspot). My responsibilities include finding potential collaborators. sourcing raw material and doing competitor analysis.

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