10 Oct 2025
Seminar, Lecture, Talk
IAS / School of Science Joint Lecture - Use of Large Animal Models to Investigate Brain Diseases
Abstract Genetically modified animal models have been extensively used to investigate the pathogenesis of age-dependent neurodegenerative diseases, such as Alzheimer (AD), Parkinson (PD), Huntington (HD) diseases, and Amyotrophic Lateral Sclerosis (ALS). The common feature of these diseases…
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7 Mar 2023
Seminar, Lecture, Talk
Physics Department - (Group) Symmetry: A Designing Principle of Neural Information Processing in the Brain?
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3 Mar 2023
Seminar, Lecture, Talk
Department of Mathematics - Seminar on PDE - Ancient solutions to space curve shortening and where they appear
Ancient solutions appear as blow-up limits in the study of singularities of geometric flows.
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3 Mar 2023
Seminar, Lecture, Talk
Department of Chemistry - PhD Student Seminar - Water Reclamation: A Solution to Water Scarcity and Environmental Pollution
Student: Mr. Chun Kit AU Department: Department of Chemistry, HKUST Supervisor: Professor Wan CHAN
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2 Mar 2023
Seminar, Lecture, Talk
Department of Mathematics - Seminar on Applied Mathematics - Dispersion relation reconstruction for 2D Photonic Crystals based on polynomial interpolation
Dispersion relation reflects the dependence of wave frequency on its wavevector when the wave passes through certain material. It demonstrates the properties of this material and thus it is critical.
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2 Mar 2023
Seminar, Lecture, Talk
Physics Department - Topological-cavity Surface-emitting Laser
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2 Mar 2023
Seminar, Lecture, Talk
Department of Mathematics - HK-Singapore Joint Seminar Series in Financial Mathematics / Engineering - Decarbonization of financial markets: a mean-field game approach
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24 Feb 2023
Seminar, Lecture, Talk
IAS Center for Quantum Technologies Seminar Series - Quantum Sensing of Quantum Materials
Abstract  
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24 Feb 2023
Seminar, Lecture, Talk
Department of Mathematics - Joint Probability Seminar - Multiple points on the boundaries of Brownian loop-soup clusters
The Brownian loop soup, introduced by Lawler and Werner in 2004, plays a crucial role in understanding two-dimensional models in statistical physics.
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