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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 Postdoctoral Research Fellow at The University of Queensland. He received his PhD from UQ in 2022. His research focuses on scanning near-field optical microscopy (s-SNOM) and light–matter interactions in nanomaterials and nanostructures across the mid-infrared to terahertz spectrum. Since 2022, he has completed 50+ independent peer reviews for internationally recognised journals, including Nature Communications, Light: Science & Applications, and ACS Photonics. He lectures ELEC3100: Fundamentals of Electromagnetic Fields and Waves at UQ. He has delivered invited talks at NFO-17 and a 50-minute invited seminar at IRMMW-THz 2024.

His community service includes interim session chair (THz) at ISUPTW 2024 (IEEE Photonics Society), Technical Program Committee member for the 4th and 5th International Conference on Advanced Optics & Photonics Research in Engineering, Youth Editorial Board member of PhotoniX Life, and external grant reviewer for a European funder. His invited review on terahertz near-field optical microscopy in Applied Physics Reviews was recognised as an ESI Highly Cited Paper (top 1%) in 2024 and 2025. He is a member of the Institute of Physics (IOP), the American Chemical Society (ACS), and the Australian Institute of Physics (AIP).

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.