Members

Eryn Kwon completed a Bachelor of Engineering and Science (conjoint) from the University of Auckland, majoring in biomedical engineering, physics and chemistry. She then started working on the forensic modelling project first as her Master’s degree in Mechanical Engineering at the University of Auckland, which continued into her PhD.  Her PhD research, titled “Anatomically realistic physical and computational models of cranial ballistic impact and associated backspatter” studied gunshot-related blood-spatter, which is a common and often critical task for forensic investigators. Simulating the formation of this spatter to answer case-related questions is difficult as the mechanism of spatter projection is not well understood. Computational and physical models of identical geometry were designed and constructed to study cranial gunshot wounding and spatter. Overall, the results of computational modelling and physical experiments provided valuable resources to relate actual events in crimes scenes with the bloodstain pattern observed, thus adding more credibility to this form of forensic evidence.
Leveraging from the experience in modelling large and rapid deformation to the complex biological structure (brain), her research focus is now on the less lethal but even more common type of brain injury, mTBI. Her recent work focused on obtaining data to build foundations to mTBI biomarker detection platform. She is currently working on the project as a Research Fellow,  investigating early detection and modelling of mild traumatic brain injuries (mTBI).

Jiaxing is a research assistant at Nanyang Technological University, Singapore. His research interests include artificial intelligence, data mining and deep learning. Currently he is under Prof. Ke Yiping, Kelly’s supervision. As a part of this project, Jiaxing is responsible for exploring graph neural networks towards multimodal brain networks, for the classification of neurological disorders.

Dr. Yiping Ke is an Assistant Professor with the School of Computer Science and Engineering, Nanyang Technological University. She obtained her Ph.D. degree in Computer Science from the Hong Kong University of Science and Technology in 2008 and B.Sc. degree in Computer Science from Fudan University in 2003. Before joining NTU, she was a scientist with the Institute of High Performance Computing, A*STAR and a Research Assistant Professor at the Chinese University of Hong Kong. Her experience has spanned over both academia and industry. She has published over 50 research papers in prestigious journals/conferences, receiving over 2,000 citations. She has served as program committee members and journal reviewers for ICML, NIPS, IJCAI, AAAI, KDD, VLDB, ICDM, SDM, CIKM, ACM TKDD, IEEE TNNLS, IEEE TKDE, VLDBJ, Machine Learning Journal, etc. She has filed 5 US/UK patents with industrial partners. She has secured and managed 9 research grants and industrial funds, and successfully rolled out developed technologies to a variety of domains including business analytics, bioinformatics, fluid dynamics, etc.

Kelly is the Principal Investigator and science leader of the Singapore team.

Balázs Gulyás is a President’s Chair Professor of Translational Neuroscience at the Lee Kong Chian School of Medicine, Nanyang Technological University (NTU), Singapore where he is also the Director of the university’s Cognitive Neuroimaging Centre. Balázs is a medical doctor with background in clinical (neurology, psychiatry), basic and cognitive neuroscience and with more than three decades of experience in pre-clinical, cognitive and clinical neuroimaging.

Vickie is a Senior Research Fellow at the Auckland Bioengineering Institute. She completed her PhD in finite element modelling of the hip joint and hip implants at the University of Auckland in 2007.

Since then, she has been conducting various researches related to the musculoskeletal system both in modelling and bioinstrumentation at the Auckland Bioengineering Institute. In recent years, she has expanded her research into the human brain, especially traumatic brain injuries to characterize the injury mechanisms and possible preventative and therapeutic solutions.

Dr David Tse Jung Huang is a researcher experienced in applied interdisciplinary machine learning. His primary research area is in large-scale streaming data analytics and monitoring data changes. With a background in computer science and chemistry, he has worked with professionals from different disciplines such as healthcare and environmental sciences. His goal is to assist and incorporate machine learning into their daily applied practices with the aim of improving quality and efficiency. His most recent project was with the Waikato DHB to develop machine models to predict daily linear accelerator output changes as part of their robust quality assurance program for radiotherapy treatments.  He is also proficient in cloud computing and certified by AWS as an academy educator and solutions architect.

David will be working closely with the science leader Miao to deliver the overall goals of this project with a particular focus on group-based graph analytics.

Callum is a Doctoral Candidate within the School of Computer Science at the University of Auckland. His current research includes applying Graph Theory with Deep Learning models, Continual/Lifelong Learning and Brain Network Analysis.

As part of this project he will be looking at applying Graph-based Deep Learning models towards multimodal neuroimaging data, for connectivity analysis and data-driven brain parcellation.

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