10月25日
研讨会, 演讲, 讲座
Asymmetric Electrochemical Transformations – Development, Applications and Outlook
Student: Mr. Zhiyang LI
Department: Department of Chemistry, HKUST
Supervisor: Professor Jianwei SUN
![](/sites/default/files/events/posters/MSc-DDM_22Oct22_Event%2520Calendar_960x590%2520ratio_v2_0.png)
10月22日
简介会, 迎新
HKUST MSc in Data-Driven Modeling Information Session (Shanghai)
Application for 2023/24 Fall Term admission to HKUST MSc in Data-Driven Modeling (MScDDM) is now open. Join the MScDDM Information Session in Shanghai / via Zoom on October 22, 2022 (Saturday) to explore how MScDDM equips you to thrive in the data science sector.
![](/sites/default/files/events/posters//15_Xiangwen_ZHANG_1021.jpg)
10月21日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on PDE - Geometric flows in symplectic geometry
Geometric flows have been proven to be powerful tools in the study of many important problems arising from both geometry and theoretical physics.
10月21日
研讨会, 演讲, 讲座
Department of Physics - Adaptation of Microswimmers in Natural and Artificial Systems
![](/sites/default/files/events/posters/f242dac2-ba05-4023-a997-dd83b88582a346a36b08-23bc-41f1-80c4-0ea40defc3fb_0_0.png)
10月21日
2022淺談物理學講座 3 ── 不科學的科學
2022淺談物理學講座 3 ── 不科學的科學
由物理系主辦的2022淺談物理學講座旨在以非正式和深入淺出的方式介紹現代物理和近期研究進展。內容涵蓋量子力學發展史和太空生物可能存在的線索。
![](/sites/default/files/events/posters//21-Yongbin%2520RUAN_1020.jpg)
10月20日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Pure Mathematics - Geometric Langlands and co-adjoint orbits
Geometric Langlands can be interpreted as a mirror symmetry between the moduli space of Higgs bundle of group $G$ via the same moduli space of its Langlands dual $G'$. Once we
![](/sites/default/files/events/posters//5b652a4f-51d6-4854-9496-541847a21c26c61c1f72-491b-4d5c-ade2-110586363759_1.png)
10月18日
研讨会, 演讲, 讲座
Science Majors Week 2022 - Popular Science Talk: 2022 Physics Nobel Prize - Into The Wild Quantum World
The Nobel Prize in Physics 2022 has been awarded to three pioneers for their experiments on the foundations of quantum mechanics and its potential future applications.
![](/sites/default/files/events/posters//4_Yuting%2520WEI_1017.jpg)
10月17日
研讨会, 演讲, 讲座
Department of Mathematics - Seminar on Statistics and Data Science - Exponential Lower Bounds and Fast Convergence for Policy Optimization
Policy gradient (PG) methods and their variants lie at the heart of modern reinforcement learning. Due to the intrinsic non-concavity of value maximization, however, the theoretical underpinnings of PG-type methods have been limited even until recently.
浏览理学院过往举办的活动。