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Dr. Karl Bertling has made significant contributions to pioneering imaging and sensing via laser feedback interferometry, spanning diverse laser technologies including sensors based on visible lasers, infrared surface-emitting lasers, mid-infrared inter-band cascade lasers, and terahertz quantum cascade lasers. His current research focus includes leveraging terahertz quantum cascade laser feedback interferometry for early melanoma detection and agri-photonics, as well as near-field terahertz and mid-infrared imaging of nanomaterials and nanostructures.

Dr Xiao Guo is a Research Fellow at The University of Queensland, specialising in nanophotonics, nanoscale imaging and light–matter interactions. He uses scanning near-field optical microscopy (s-SNOM) and mid-infrared and terahertz spectroscopy to explore material properties beyond the resolution (100 to 1000 times better) of conventional optical microscopes.

His research focuses on semiconductors, nanomaterials and nanostructures using invisible waves (terahertz and mid-infrared, 0 to 70 THz)

His undergraduate experience included 1.5 years of research on piezoelectric materials and flexible electronics alongside his coursework, followed by a 1-year honours thesis on spin-wave dynamics in ribbon-shaped magnetic materials. During his master’s studies in electrical engineering at the University of Hong Kong, he also learned quite a bit of deep learning along with other HKU professors every week (it is just CNN + GAN for image segmentation, then find U-net is fine :))). Dr Guo lectures ELEC3100: Fundamentals of Electromagnetic Fields and Waves at UQ. He contributes to the research community through invited talks, conference committees and peer review, having completed more than 70 independent journal reviews since 2022. His invited review on terahertz near-field optical microscopy in Applied Physics Reviews was recognised as an ESI Highly Cited Paper in 2024 and 2025. Personal website: xiaoguo1995.github.io

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.