Zongyuan Ge（戈宗元）
Zongyuan Ge Ph.D., Associate Professor Faculty of IT, Faculty of Engineering, Monash University, Office: G34, 15 Innovation Walk Email: zongyuan.ge _at_ monash.edu or z.ge _at_ outlook.com 
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About Me
I currently hold the tenured position of Associate Professor at the Monash University Faculty of IT, along with honorary and adjunct positions as Research Affiliate at the Australian Centre for Robotic Vision, NVIDIA-AI Fellow, the Chief Scientist at Monash-Airdoc Research Centre and Chief Research Officer at Eyetelligence.
After returning to academia in 2018, I founded the Monash Medical AI Group, which targets for advancing medical AI research and deployment. I have brought more than 25 million dollars to the group, and it is now funding over fully-funded 20+ PhD students, 6 Research Fellows/Scientists, and several Research Master/FYP students.
[Call for 2023] Please contact me through my email if you are interested in applying for scientist, software engineer, machine learning engineer, visiting scholar positions in my lab.
Research Interests
I conduct interdisciplinary research at the boundary between medical artificial intelligence, computer-aided diagnosis, biomedical engineering, medical imaging and machine learning and is a multi-award-winning medical information science and technology entrepreneur. My research leverages cutting-edge AI technologies using large-scale multi-modality medical data including imaging, medical records, gene data and models the clinicians’ medical knowledge underlying tasks like diagnosis, prognosis, and treatment for eye (ophthalmology), skin (dermatology), heart (cardiovascular) and neurodegeneration diseases such as epilepsy and multiple sclerosis. I am also one of Australia’s most in-demand experts in technology, including medical robotics and artificial intelligence, and is a passionate science communicator.
As a lifelong medical technology entrepreneur, I have led and contributed to several international research projects in the areas of dermatology, ophthalmology, radiology, and neurology with major industry companies like IBM Watson Health, medical technology unicorn company Airdoc/Eyetelligence and medical/healthcare services providers such as Molemap Clinic, The Alfred Health, Royal Melbourne Hospital, and Princess Alexandra Hospital. I am also the Chief Scientist for the Monash-Airdoc Research Centre (https://www.airdoc.com/) to lead the AI technology and product development team. In 2019, he helped build the Monash-Airdoc Research Centre (with 3.5m total investment) to help developed CFDA, CLASS III approved healthcare monitoring products. This eye disease diagnosis AI product has served millions of people in China, India, Japan, South Africa and Australia. According to the financial report, the revenue generated from the ophthalmology AI products A/Prof Ge’s team co-developed has generated 25 million dollars in revenue for the company. Airdoc has been successfully listed on Hongkong Stock Exchange (2251-HK) with a market cap of over 1 billion US dollars (2021, Dec).
Recent Selected Publications
Development and validation of a deep learning model for predicting treatment response in patients with newly diagnosed epilepsy
JAMA Neurology, 2022Artificial intelligence to distinguish retinal vein occlusion patients using color fundus photographs
Nature Eye, 2022- Application of Comprehensive Artificial intelligence Retinal Expert (CARE) system: a national real-world evidence study
The Lancet Digital Health, 2021 Leveraging Regular Fundus Images for Training UWF Fundus Diagnosis Models via Adversarial Learning and Pseudo-Labeling.
IEEE Transaction on Medical Imaging (TMI), 2021Hierarchical Neural Architecture Search for Deep Stereo Matching–Supplementary Materials
Advances in Neural Information Processing Systems (NeurIPS), 2021New era of personalised epilepsy management
British Medical Journal (The BMJ), 2021Robust early-learning: Hindering the memorization of noisy labels. In International Conference on Learning Representations.
International Conference on Learning Representations (ICLR), 2020One-Shot Neural Architecture Search: Maximising Diversity to Overcome Catastrophic Forgetting
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Professional Activities (Selected)
Professional Memberships and Service
Scientific Advisory Committee, The Australian Research Data Commons (ARDC), 2020 -
Steering Group member, Monash Data Science and AI platform, 2020 -
Research Advisory Committee, Australian Centre of Excellence Melanoma Imaging Diagnosis (ACEMID), 2020 -
Member at Large, Australian Pattern Recognition Society (APRS), 2020 -
Panel Assessors, Monash University Central Clinical School, Faculty of Medicine, 2019 -
Program Committee Member
Journal Reviewer
IEEE Transactions on Medical Imaging (TMI)
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)
International Journal of Computer Vision (IJCV)
IEEE Transactions on Image Processing (TIP)
Elsevier Journal of Medical Image Analysis (MIA)
IEEE Transactions on Neural Networks and Learning Systems (TNNLS)
IEEE Transactions on Multimedia (TMM)
Elsevier Journal of Neural Networks (NN)
Elsevier Journal of Pattern Recognition (PR)
Correspondence
Office
eResearch Centre, 15 Innovation Walk, Monash University
Tel
+61 (03) 9905 9916