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Dr. Alejandro Melendez-Calderon has an interdisciplinary background in robotics and biomedical engineering with extensive experience in human augmentation technologies used in medicine (robotics, wearable devices) and computational approaches to understand human neuromuscular control (unimpaired, stroke and SCI population). He has over 19 years of experience gained in academic, clinical and industrial environments.

He leads the NeuroEngineering, Rehabilitation and Medical Robotics Lab at UQ, and is currently a Senior Lecturer within the School of Information Technology and Electrical Engineering and the School of Health and Rehabilitation Sciences (affiliate) at the University of Queensland (Australia; Jan 2020-present). He is also a Principal Research Fellow at the Jamieson Trauma Institute, Queensland Health (Australia, Jun 2022-present) where he leads the Rehabilitaiton and Outcomes theme.

Work experience | Clinical - He was previously a Senior Research Scientist and acting Head of Technology at the cereneo Advanced Rehabilitation Institute / cereneo Center for Neurology and Rehabilitation (Switzerland; 2017-2019), where he led and conducted research in the area of neuromechanics of movement deficits after stroke. He was also an Adjunct Assistant Professor at the Department of Physical Medicine & Rehabilitation, Northwestern University (USA; 2014-2020) and a postdoctoral research fellow at the Shirley Ryan AbilityLab (formerly Rehabilitation Institute of Chicago) (2012-2013), where he conducted research in cross-modal multisensory interactions and assessment of neuromuscular impairments. Medical industry - He led the areas of Robotic Hand Rehabilitation and Assessments, and work on adaptive control of robotic trainers (arm and legs) at Hocoma AG (Switzerland; 2014-2016), one of the world-leading manufacturers of robotic and wearable technologies for rehabilitation. Academic research - He was a Guest Researcher at ETH Zurich (Switzerland; 2016-2019), where he conducted research in biomechanics and motor control/learning. He received his PhD degree from Imperial College London (UK; 2007-2011) for research in robotics, rehabilitation and human motor control.

Interests | Dr. Melendez-Calderon has a scientific interest in understanding principled mechanisms of human behavior, in particular related to movement control/learning and physical interaction; his technical interests are in robotics and computational modeling for medical diagnostics, assistive applications & (bio)medical education.

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.