Speakers:

Dr Fatemeh Nikbakhtnasrabadi, James Watt School of Engineering    

‘Radio Frequency Sensors for Healthcare and Environmental Sustainability’

In my research, I focus on developing passive, wireless, and low-cost radio frequency identification (RFID)-based sensors with applications in health monitoring, structural health monitoring (SHM), food safety, and waste management, aiming to expand RFID usage beyond identification. I am particularly interested in creating solutions for invasive health monitoring, including cybernetic prosthetics, while also exploring broader applications in these fields. My expertise lies in designing RFID-based sensors using additive manufacturing (AM) and exploring environmentally friendly fabrication methods. I am eager to collaborate with experts in materials science, AI, wireless communication, and security to unlock the full potential of these technologies. By pursuing funding opportunities, I aim to advance the development of smarter, more efficient wireless sensing systems for various applications.

 

Dr Arash Azizi, James Watt School of Engineering

‘Climate Adaptation for Geotechnical Infrastructure’  

My research focuses on understanding the impact of climate change and seasonal variations on the resilience of geotechnical infrastructure, with an emphasis on developing sustainable solutions to mitigate climate-related risks for these earth structures. My expertise lies in laboratory testing and modelling the behaviour of soils under complex environmental and mechanical loading conditions. This research area encourages collaboration across various disciplines, including Civil Engineering, Environmental and Climate Science, Earth Science and Sustainability Policy. My goal is to pursue upcoming funding opportunities and foster partnerships between academia and industry to deliver affordable, sustainable solutions for the development of climate-resilient infrastructure.

 

Dr Luiz Felipe Aguinsky, James Watt School of Engineering

‘Multi-Scale Modelling of Electronic Device Structures’

My research is centred on understanding the impact of the structure - spanning from changes in atomistic arrangements all the way to three-dimensional topographies - in the performance of electronic devices. I am looking forward to collaborating with fabrication experts from the JWNC to apply computational methods to device optimization, especially those developing technologies enabling neuromorphic computing. Also, I am interested in collaborating with computational scientists from all fields who use first-principles simulations (MD, DFT, NEGF), with a special interest in applied machine learning.

First published: 24 April 2025

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