Profile Sam Oliver is a PhD student at the Zienkiewicz Institute for Modelling, Data, and AI. He is in the mathematics department and focuses his research on modelling the growth of cancer tumours. Using mathematics, he aims to predict how patient-specific characteristics such as BMI can impact the success of chemotherapeutic treatment in a heterogeneous…

Profile Amir Arabzadeh is a PhD student at the Zienkiewicz Institute for Modelling, Data, and AI. His research focuses on digital twins for temporary works and construction methods, using computational simulations, numerical methods, and data science to enhance safety, quality, and reduce costs. His works support industry needs to keep pace with digital innovations aimed…

Profile Mohsin Ali is a PhD researcher at the Zienkiewicz Institute for Modelling, Data, and AI at Swansea University. His research focuses on computational modeling, computational fluid dynamics (CFD), cyber-physical modeling, concrete flow simulation, and data analysis. By integrating advanced simulation techniques with data-driven insights, his work aims to enhance the understanding and optimization of…

Profile Raziyeh Moghaddas is a PhD candidate and GTA scholarship awardee at Swansea University. Her research focuses on advancing AI-driven techniques for complex problem-solving, with a particular emphasis on Distributed Constraint Satisfaction Problems and distributed AI and Multi-agent systems. Her work explores how multi-agent systems and intelligent agents can be leveraged to tackle combinatorial NP-hard…

Profile Liyuan Wang is a PhD student at the Zienkiewicz Institute for Modelling, Data and AI. Her research focuses on applying computer vision and artificial intelligence technologies to materials science. By enabling efficient and economical digital representation and reconstruction of heterogeneous materials to advance the field of materials science and broaden AI’s applications within it.…

Profile Liam Garcia is a PhD student at the Zienkiewicz Institute for Modelling, Data, and AI. His research focuses on functional construction materials, using computational simulations and microscopic imaging to supplement long-term product assessments, which are often costly and time-consuming. His work supports industry demands for rapid innovation by integrating imaging technologies, data mining, and…

Profile Sarah Costa is a PhD student at the Zienkiewicz Institute for Modelling, Data, and AI. Her research focuses on developing innovative methodological frameworks leveraging computer vision and Machine Learning (ML) for the segmentation and dynamic analysis of microscopic imaging and video datasets obtained from laboratory networks of cardiac cells. By enabling the automated and…