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# 2023 SPLASH |
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SPLASH employs advanced polarisation holographic imaging to identify microplastics in aquatic and airborne environments. Integrated with machine learning, it ensures intelligent, swift, and accurate microplastic detection. The system allows identification of discriminative physical features, such as morphology, transparency, phase, birefringence and more. Machine learning methods are then integrated for automatic image processing to achieve accurate and quick microplastic identification. SPLASH is a pivotal tool in addressing plastic pollution and promoting global environmental sustainability.
Timothy Ng is a creative at heart, taking on bold challenges in designing robots to aid humanity. He is best known for his groundbreaking work on the world's fastest robotic fish to provide underwater mobility for marine exploration and for search and rescue operations. He comes from a background of engineering, with experience in soft robotics, mechanical design, electrical systems and electronics. He is currently a PhD candidate at TUM, working on a wearable exoskeleton that can help patients with lower limb paralysis walk again. He looks to combine his abilities in entrepreneurship, engineering and service leadership to create robotic solutions to aid mankind. more
LinkedIn
Yuxing Li is a Postdoctoral Fellow in the Department of Electrical and Electronic Engineering at The University of Hong Kong. She received her Ph.D. degree from Tsinghua University in June 2022. Her research interests include computational imaging algorithms and the application of artificial intelligence in microplastic detection and assessment. Currently, she is working on the development of a deep-learning-enabled system designed to monitor the severity of microplastic pollution in aqueous environment.more
LinkedIn
Jianqing Huang is a Postdoctoral Fellow in the Department of Electrical and Electronic Engineering at The University of Hong Kong. He received his Ph.D. degree from Shanghai Jiao Tong University in June 2022. His research interests include computational imaging algorithms and the application of artificial intelligence in microplastic detection and assessment. Currently, he is working on the development of a deep-learning-enabled system designed to monitor the severity of microplastic pollution in aqueous environment. more
Portfolio
Dr. Yanmin Zhu specializes in computational imaging, deep learning, and digital holography. She currently works as a postdoctoral associate in Massachusett Institute of Technology, Department of Mechanical Engineering. Dr. Zhu obtained her Ph.D. in Electrical and Electronic Engineering from The University of Hong Kong in 2023, her Master's degree in Optics and Photonics from Imperial College London in 2018, and her Bachelor's degree from Catholic University of Leuven in 2017. Her research focuses on leveraging intelligent imaging technology for applications in biology, the environment, and materials, and she has consistently made significant contributions in these areas.more
LinkedIn
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Universidad Autónoma de Nuevo León
Bioengineering solution to detect and degrade air pollution