5月14日
研討會, 演講, 講座
MATH_PhD Student Seminar - Detect conformation change by template matching in cryo-em images
Cryo-EM detects protein conformations froze in solution, and thus provides a promising way to characterize these conformational changes. In order to detect the conformational change, we developed a new algorithm to obtain multiple conformations and their populations from Cryo-EM datasets.
5月14日
研討會, 演講, 講座
MATH_PhD Student Seminar - A three-dimensional unified gas-kinetic wave-particle solver for all flow regime
In this paper, the multiscale unified gas-kinetic wave-particle (UGKWP) method has been implemented on three-dimensional unstructured mesh with the capability of large-scale parallel computing.
5月14日
研討會, 演講, 講座
MATH_PhD Student Seminar - Cross-population genetic prediction by harnessing the shared genetic basis between ancestries
The polygenic risk score (PRS) derived from the genome-wide association studies (GWASs) predicts the individualized genomic predisposition to complex traits/diseases.
5月13日
研討會, 演講, 講座
MATH_PhD Student Seminar - Identification of genetic signatures of human face by AI-Driven facial phenotyping
Traditional human face genome-wide association studies (GWASs) are limited by small sample size and inefficient landmarks-based phenotyping methods.
5月13日
研討會, 演講, 講座
MATH_PhD Student Seminar - Perfectly matched layer for optical modes
We develop the method of perfectly matched layer (PML) for the calculation of optical modes in microcavities. The PML is constructed by implementing the complex coordinate transformation in the far field region.
5月13日
研討會, 演講, 講座
MATH_PhD Student Seminar - Computational Resolution Limit: a Modern View of a Classical Problem
Given an image generated by the convolution of point sources with a bandlimited function, the inverse problem is to reconstruct the source number, positions, and amplitudes. It is well-known that it is impossible to resolve the sources when they are close enough in practice.
5月13日
研討會, 演講, 講座
CHEM - PhD Student Seminar - Material Engineering in Thin-Film Transistor
Student: Mr. Chen HU Department: Department of Chemistry, HKUST Supervisor: Professor Shihe YANG
5月9日
會議, 座談會, 論壇
Symposium on Risk Management and Business Intelligence 2020 - Applying AI in Business
The Symposium on Risk Management and Business Intelligence 2020 will be held on 9 May 2020 (Saturday) afternoon by ZOOM.
瀏覽理學院過往舉辦的活動。