Rate My Professor Kartik Iyer

Dr. Kartik K. Iyer is a biomedical engineer specializing in computational neuroscience, affiliated with the University of Queensland Faculty of Medicine through past roles and ongoing collaborations, and currently serving as Senior Research Officer in the Brain Modelling Group at QIMR Berghofer Medical Research Institute. He holds a Bachelor of Engineering in Biomedical Engineering and a PhD in Biomedical Engineering and Computational Neuroscience from the University of Queensland, completed between 2012 and 2015. During his doctoral and early postdoctoral work at UQ's Centre for Clinical Research and Child Health Research Centre, where he served as Research Fellow, Iyer pioneered methods for early detection of preterm intraventricular hemorrhage and prediction of clinical outcomes in extremely preterm infants using clinical electroencephalography. His research integrates biomedical signal processing, machine learning, EEG, and MRI to develop prognostic biomarkers for brain health across the lifespan, with a focus on child development, neurotrauma, and abnormal brain activity in clinical cohorts.

Iyer's key contributions include investigations into concussion recovery in children, such as the impact of melatonin on brain function post-concussion and non-invasive brain stimulation for improving attention. Recent work features AI tools for brain age prediction from sleep electroencephalography and EEG-based growth charts of brain function from infancy to adolescence. His highly cited publications encompass 'Cortical burst dynamics predict clinical outcome early in extremely preterm infants' (Brain, 2015), 'Scale-free bursting in human cortex following hypoxia at birth' (Journal of Neuroscience, 2014), and 'Mechanisms of facial emotion recognition in autism spectrum disorders' (Neuroscience & Biobehavioral Reviews, 2017). With over 1,000 citations across 85 publications, Iyer has secured funding from the Brain Foundation for pediatric concussion research and contributed to award-winning projects on brain connectivity changes. His advancements influence neonatal intensive care, pediatric neurorehabilitation, and developmental neuroscience.