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EVENTS

Distinguished Lecture Series
Faculty of Science

Distinguished Lecture Series

ZOOM online lecture

Learning from COVID-19 Data on Transmission, Health Outcomes and Interventions Professor Xihong Lin January 14, 2021 | 10:30am Professor Philip Kim will provide a historical overview of the epidemic in Wuhan, present the transmission regression models for estimating transmission rates and other implications from the COVID-19 data. Stacking van der Waals Atomic Layers: Quest for New Quantum Materials Professor Philip Kim February 2, 2021 | 10am Professor Philip Kim will discuss several research efforts to realise unusual quasiparticle pairing mesoscopic devices based on stacked vdW interfaces between 2-dimensional materials. Structure, Dynamics and Reactivity in Catalytic Systems and Energy Materials Professor Sir Richard Catlow (MAE, FLSW, FRS) November 11, 2020 | 5pm Professor Sir Richard Catlow will discuss how this powerful combination of the concerted use of synchrotron, neutron and modelling techniques might be applied more widely in catalytic science. The Future of Modern Brain Interface Technology Mr Eberhard Schoeneburg November 2, 2020 | 4:30-5:30pm Mr Eberhard Schoeneburg, Chairman and CEO of Brain-Net Ltd. will discuss the current state of the art and especially the future of BIT.

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Public Lecture Series
Faculty of Science

Public Lecture Series

ZOOM online lecture

The Mathematics of Sharing Dr Ka Ho LAW November 19, 2020 | 5:30-6:30pm In this talk the speaker will bring the audience to look at some such problems, and see how mathematics helps (and sometimes fails to help) Origins of the Galápagos Archipelago's Land Animals Dr Jason Richard ALI November 4, 2020 | 5:30-6:30pm The lecture will talk about the construction of a pretty complete scenario that explains the origins of the Galápagos Archipelago's Land Animals with the use of DNA sequencing. AI-Driven Diagnosis with COVID-19 Professor Guosheng YIN October 7, 2020 | 5:30-6:30pm In this lecture, Professor Yin will discuss how the AI-driven automated system can help in COVID-19 diagnosis.

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