School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision
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.
School of Electrical Engineering and Computer Science
Faculty of Engineering, Architecture and Information Technology
Availability:
Available for supervision
Dr. Xiao Guo currently is a Postdoctoral Research Fellow in the University of Queensland (Brisbane, Australia). He obtained his Bachelor of Science in Physics from Northeastern University in 2017. He then received his Master in Electronic and Electrical Engineering from the University of Hong Kong in 2018 and his PhD in Electrical Engineering from the University of Queensland at the end of 2022. (personal website: xiaoguo1995.github.io/)
His research focuses on experimental light-matter interaction phenomena and nanophotonics in mid-infrared and terahertz regimes. His research interests include scanning near-field optical microscopy (SNOM) and light-matter interactions in nanomaterials and nanostructures, e.g., nanoscale electron transport and how light interacting with proteins and cartilages.
Since 2022, He has independently performed peer reviews for internationally recognised journals > 30 times including Nature Communications, ACS Photonics, ACS Applied Materials & Interfaces, IEEE Transactions on Terahertz Science and Technology, Optics Letters, Optics Express, Results in Physics, Spectrochimica Acta - Part A: Molecular and Biomolecular Spectroscopy, and Review of Scientific Instruments.
He also contributes as a lecturer for teaching third-year undergraduate course, ELEC3100 Fundamentals of Electromagnetic Fields and Waves, with other senior colleagues.
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.