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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.

I build quantitative systems for understanding how humans move, perform, using data from wearable sensors in real-world conditions.

My work sits at the intersection of machine learning, signal processing, and sports and health science. I develop the analytical infrastructure that makes large-scale, free-living sensor research feasible: pipelines for IMU and GNSS data, predictive models for physical activity and pain dynamics, and validation frameworks for wearable devices.

At UQ, I contribute to the CIPHeR program (NIH/NHMRC-funded), investigating mechanisms of chronic low back pain through longitudinal modelling of movement, sleep, stress, and pain. I also lead Metric Trails, an applied R&D initiative developing high-precision geospatial standards for trail and mountain running.

My background spans academia and industry. Before UQ, I led data science teams at LATAM Airlines and built research programs in wearable analytics and geospatial modelling at Adolfo Ibáñez University in Chile, where I supervised 19 postgraduate theses.

I work across disciplines, with physiotherapists, sports scientists, engineers, and clinicians, and across an international network of collaborators in Australia, Chile, Norway and Spain.

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.