Rare-Earth Metal–Organic Frameworks with 3D Linkers for Sustainable Separation Processes

This project aims to develop novel rare-earth metal-organic frameworks (MOFs), a type of porous material which by thoughtful design, have tunable properties which can be tailored to target the sustainable separation of valuable and otherwise energy intensive chemical separations such as the separation of hydrocarbons, usually performed by distillation. The project combines the expertise in […]

Read More
Adaptation of a measuring communication skills program for healthcare practitioners for Colombia

Measuring the abilities of health practitioners to motivate patients to behaviour change is important. Healthcare practitioners are rarely adequately trained on how to engage patients on it. Healthcare practitioners often aim to promote behaviour change by providing unsolicited advice, which is not conducive to promoting behaviour change, due to not considering patient motivation or perceived […]

Read More
Application of Machine Learning to optimize concrete properties, minimizing variability in concrete production

Self-consolidating concrete (SCC) is engineered to facilitate casting and accelerate the construction process while enhancing structural performance and durability. Its high deformability allows SCC to spread and fill formwork under its own weight, eliminating the need for external vibration. The mix design of SCC is critical for achieving an optimal balance between fluidity and stability, […]

Read More
Doctoral student agency in career imagination: A qualitative case study in mainland China

This project aims to examine how doctoral students in mainland China navigate their agency in career imagination—how they think about and act on their career aspirations—during their studies. It investigates what personal, structural, and socio-cultural factors influence doctoral student agency, and how the interplay of these factors and agency shapes their career envisioning and action […]

Read More
Artificial Intelligence for Improved Dosimetric Calculation in Radiotherapy

Cancer treatment by radiotherapy (RT) is essential yet complex, requiring precise radiation doses to effectively target tumors while sparing healthy tissues. This project addresses the frequent challenge of dose discrepancies-differences between the planned and delivered doses-due to factors such as patient anatomy, organ movement, and equipment variability. These inconsistencies can lead to increased toxicity or […]

Read More
Modernization of Chinese Earth-Sheltered Dwellings

The proposed research project will be to visit survey and document post and modern cave dwellings, live in the villages, getting to know the local villagers and craftsmen, and engage in cross-cultural and interdisciplinary research. Through method of record, from measured drawings to statistical analysis, full scale details to test of structural performance or climate […]

Read More
Metalic organic frameworks for use in DAC

Research of metalic organic frameworks (MOFs) in direct air capture application. MOFs are a class of porous materials, often crystalline in nature, that are made of inorganic nodes bridged by organic linkers. MOFs are highly tunable porous materials, and the metal nodes can be metal ions, chains, or clusters. Given that MOFs can be constructed […]

Read More
Does Positive Feedback Spur Innovation? Insights into Firms’ Explorative Technology Development

Since prior research on performance feedback has primarily focused on the effects of underperformance, our understanding of the mechanisms through which positive performance feedback affects firm innovation is relatively limited. To address this gap, we will explore why, how, and when positive performance feedback spurs firm innovation and technological development. Drawing on previous studies on […]

Read More
Graph Kolmogorov-Arnold Networks for Anomaly Detection

The proposed project aims to develop a new method for finding unusual patterns in data represented as graphs, such as social networks, communication networks, or financial transactions. We proposed a novel method Graph Kolmogorov-Arnold Networks(G-KANs) to improve how we detect anomalies, which are important for identifying security threats or fraudulent activities. This project will help […]

Read More
An Analytical Model of Thickness and Flatness Estimation for Tailor Rolled Blanks

Rolling is an important process in metal forming. Through the rolling process, metal billets are turned into sheets or strips for use or further processing. Due to worsening global environmental conditions and higher demands for industrial products, lightweight design has become a trend in fields like automotive and aerospace. Traditional rolled metal sheets and strips […]

Read More
Cryptographic Verifiable Computing in Networked Control Systems

In Networked Control Systems (NCS), computation is outsourced to an external party, which we call a controller. This type of service has been gaining popularity in recent years. However, there is the threat of the controller wanting to read the commands passed onto it, thus violating confidentiality. To avoid this, we seek to incorporate cryptographic […]

Read More