Faculty of Engineering, Architecture and Information Technology
Affiliate of Centre for Advanced Materials Processing and Manufacturing (AMPAM)
Centre for Advanced Materials Processing and Manufacturing
Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision
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Mitch is an Advance Queensland Industry Research Fellow in the UQ Composites group within the Centre for Advanced Materials Processing and Manufacturing (AMPAM).
Mitch's research focuses on creating structures that have electromagnetically interesting properties, such as integrated antenna functionality, transparency to radiofrequency (RF) waves or shielding from electromagnetic interference. His Fellowship focuses on developing novel high-temperature antennas for hypersonic flight, in partnership with Hypersonix Launch Systems and DMTC Limited.
Mitch has interest in a wide range of material research activities, including:
multifunctional composite materials,
non-destructive evaluation,
novel material systems,
high-temperature and hypersonic applications,
novel RF/antenna applications for Defence and space.
He received his PhD from UQ in 2018 for his work on the detection of laminar damage in composite laminates using nonlinear ultrasonic techniques. Recently, he has worked extensively on industry technology development and innovation projects focused around multifunctional composite materials and conformal, load-bearing antenna structures.
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision
Dr Torniainen's main research interests are in the fields of biomedical signal and image processing, biophotonics, and applied spectroscopy. He holds BSc/MSc in Electrical Engineering from Aalto University (Finland, 2015) and a PhD in Applied Physics from University of Eastern Finland (Finland, 2020). He has previously worked with developing preprocessing techniques for EEG/MEG, real-time analysis methods for physiological signals (e.g., ECG/EMG/EDA), and near-infrared spectroscopy based analysis of tissue integrity for musculoskeletal tissues. His current research focus is on machine learning in image processing, analysis, and synthesis of biomedical images acquired using a combination of terahertz imaging, nano-FTIR, and Raman spectroscopy. The purpose of this study is to better understand the interaction between light and multi-layered tissues such as articular cartilage and skin.
