KE Spotlight - Community Engagement - HKU Knowledge Exchange

Faculty Knowledge Exchange Awards 2024

The annual Faculty Knowledge Exchange (KE) Awards recognise each Faculty’s outstanding KE accomplishment that has made demonstrable economic, social or cultural impacts to benefit the community, business/industry, or partner organisations. Results of the 2023 Faculty KE Awards are now available.

HKU Impact: Social Media Competition 2024

We are delighted to announce the winners of the inaugural "HKU Impact: Social Media Competition"! This competition, organized by the Knowledge Exchange Office (KEO), aimed to encourage HKU research students to showcase the importance of their research theses and discoveries to a wider audience. Participants utilized various social media platforms to engage with the community. The champion and 1st runner-up were selected by the adjudicating panel. The winners this year are:

Faculty Knowledge Exchange Awards 2023

The annual Faculty Knowledge Exchange (KE) Awards recognise each Faculty’s outstanding KE accomplishment that has made demonstrable economic, social or cultural impacts to benefit the community, business/industry, or partner organisations. Results of the 2023 Faculty KE Awards are now available.

Faculty Knowledge Exchange Awards 2022

The annual Faculty Knowledge Exchange (KE) Awards recognise each Faculty’s outstanding KE accomplishment that has made demonstrable economic, social or cultural impacts to benefit the community, business/industry, or partner organisations. Results of the 2022 Faculty KE Awards are now available.

Faculty Knowledge Exchange Awards 2021

The annual Faculty Knowledge Exchange (KE) Awards recognise each Faculty’s outstanding KE accomplishment that has made demonstrable economic, social or cultural impacts to benefit the community, business/industry, or partner organisations. Results of the 2021 Faculty KE Awards are now available.

Faculty Knowledge Exchange Awards 2020

The annual Faculty Knowledge Exchange (KE) Awards recognise each Faculty’s outstanding KE accomplishment that has made demonstrable economic, social or cultural impacts to benefit the community, business/industry, or partner organisations. Results of the 2020 Faculty KE Awards are now available.

HKU statisticians develop online diagnostic system for screening COVID-19 with AI technologies based on chest CT dataset

A research team led by Professor Yin Guosheng, Head of Department of Statistics and Actuarial Science at HKU, and Dr Liu Bin, Assistant Professor of Centre of Statistical Research, School of Statistics, Southwestern University of Finance and Economics (currently Post-doctoral Fellow at HKU) has integrated radiography and computer vision to develop a digital online diagnostic system for COVID-19 based on chest CT scans. The diagnostic system can help to screen suspected cases of COVID-19 and evaluate the probability of one contracting the disease with 88% accuracy. The research team at HKU has designed a Lesion-Attention Deep Neural Network (LA-DNN) model based on the CT images. Leveraging on text reports from 760 research papers, the research team further analysed and pinpointed five different lesions in association with COVID-19 and identified each confirmed patient with at least one or more of the five lesions. These five lesions are the distinctive features that differentiate COVID-19 from general pneumonia or other lung diseases. Professor Yin and Dr Liu hope that medical staff can make use of the diagnostic system and share patients’ image data to initiate collaborative research and accommodate the urgent demands for COVID-19 testing.