Archives 2021

Stanford University has recently released a list that represents the world’s top 2% of the most-cited scientists in various disciplines. Prof Wong Man-leung, Professor and Head of the Department of Computing and Decision Sciences, and Prof Xie Haoran, Associate Professor at the Department of Computing and Decision Sciences, have been ranked among the world’s top 2% most-cited scientists in their respective fields.

Prof Wong’s field is research on data mining and knowledge discovery, machine learning, evolutionary algorithms, knowledge-based systems, fuzzy sets theory and internet commerce. Prof Xie, whose research expertise focuses on artificial intelligence, big data and educational technologies, is the new LU member being listed on the prestigious list.

Stanford’s large database adopts a composite indicator based on standardised citation metrics, including the number of citations, h-index (measuring scientific research output) and co-authorship. The study analysed data from 1965 to 2020, covering about seven million scientists and scholars in 22 major fields. These recognitions reflect the significant influence and research excellence of our instructors, who are committed to furthering their knowledge for the benefit of the world.

Prof. SEE-TO Wing Kuen Eric, Programme Coordinator of the MScAIBA Programme, was invited by the Hong Kong Public Key Infrastructure Forum (HKPKIF) to deliver a professional sharing on the “Newly Developed Applications by Local Businesses and Its User Experience” at ICT Expo 2021 on 28 October 2021. He shared the possible uses of digital certificates in the education sector and the participants found it informative and inspiring.

In addition to Eric’s sharing, Mr. William GEE, PwC Mainland China and Hong Kong Partner and Vice-Chair of Asia PKI Consortium, Ms. Winkie SHUEN, Chief Operation Officer Carelink Bioscience Limited, and Mr. HO Sing-man, General Manager of Certizen Limited, also delivered sharing on “How Decentralised Data Management Technology can be used in Local Business and Global Expansion” in different domains.  Our students developed a better understanding of blockchain technology and its applications in different industries.

Following the success of the last professional talk, Mr. Stanley CHAN, co-founder and CEO of Farseer, was invited to deliver another session to our students on April 22, 2021.  Students were empowered with knowledge in FinTech and developed a better understanding of AI’s role in digital transformation for financial services.

Farseer is an award-winning (Big Data/A.I. champions for “2018 HKX”, “2018 HKTDC Startup Express” & “2018 B4B Challenge”) proprietary big data/A.I. cloud that combines text analytics & search technology to extract real-time financial related intelligence according to clients’ criteria & output/alerts format, with user-defined sentimental weightings, with 24/7 web & apps access, to significantly reduce, digitize & automate research effort. Regarding Data/A.I. technology cooperation, the company has been working along include Caixin, the HK Trade Development Council, and the Tsinghua University etc. In addition, Farseer is also the 1st Asia-focused FinTech startup got admitted to the Alibaba Sensetime “HK AI Lab” at The HKSTP & the 1st HK team got admitted to the Tsinghua PBCSF (清华五道⼝) Global Entrepreneurship Program.  Before establishing Farseer, Stanley founded & sold a cash equity brokerage platform primarily focused to deliver timely, bespoke & relevant on-the-ground HK/China stocks intelligence to the hedge funds universe. Previously an equity analyst & private banker with Citigroup & UBS respectively, Stanley accumulated rich Greater China sector know-how from across primarily the consumer, TMT & automobile industries & have close connections with technology development across China & the US.

Mr. TSOUGENIS Efstratios was invited to deliver a professional talk to our students on 9 March 2021. With more than 10 years’ experience in the field of Computer Vision and Machine Learning (Ph.D.(DUTH) & Post-Doc (HKUST)) and more than half of them in Asian A.I. Market, Efstratios, a full stack A.I. Manager, Researcher & Honorary Lecturer (HKU Medicine School), currently serves as Manager at Artificial Intelligence Lab & Data Collaboration Lab of Hong Kong Hospital Authority. In the past served as Director for Deep Learning Medical Imaging Diagnostics company, Imsight Medical, which has been established as one of the top Healthcare A.I. companies in China. In addition, he served as Team leader & A.I. Consultant for multiple A.I. teams in the private and government sector.

Diagnostics powered by A.I. has become one of the most anticipated technologies in the healthcare 2.0 era that will lead to a medical services revamp. In the meantime, the number of healthcare-related machine learning models and publications is scaling exponentially during the last years. However, does an accurate model constitute an acceptable clinical solution? Within the talk, different A.I. novel technologies are examined, while the issue of validating clinical solutions beyond accuracy is tackled. Students gained a new vision for A.I. solutions and its emerging application in healthcare.

Mr Joe NG, I.T. Officer of Vocational Training Council (VTC), was invited to deliver a professional talk to our students on 8 March, 2021.

VTC assesses the manpower demand for 24 major industry sectors covering more than 80% of the Hong Kong working population. The manpower dynamics of each of the 24 industries in Hong Kong is analysed through a manpower survey and manpower update in a 4-year cycle. The manpower survey is a quantitative survey conducted with relevant companies once every 4 years to collect information of employees count, income, education, etc. The manpower update is conducted twice in the 4-year cycle through a focus group meeting with industry representatives and data analytics of major recruitment platforms. The information obtained from both manpower survey and manpower update aims to facilitate the Government and different stakeholders of industries to formulate manpower and training plan.

The talk provided students with hands-on experience regarding data collection, data management, data cleaning, and analytics for manpower survey for 25 Industries in Hong Kong for VTC (Industry Partnership of Vocational Training Council). The technologies and software used in traditional database systems, big data, business intelligence, and machine learning were also introduced to improve students’ understanding of business data analysis. Additionally, Mr Joe shared his personal learning experience when discussing the career path of a data scientist, which impressed the students deeply.

Mr Stanley CHAN, the co-founder & CEO of Farseer, was invited to deliver a professional talk to our students on 2 March 2021.  Students gained a deeper understanding of the role of ESG during the COVID-19 crisis and found the talk informative.  Apart from practical experience sharing, Stanley offered internship opportunities for our students to explore career path.

Farseer is an award-winning (Big Data/A.I. champions for “2018 HKX”, “2018 HKTDC Startup Express” & “2018 B4B Challenge”) proprietary big data/A.I. cloud that combines text analytics & search technology to extract real-time financial related intelligence according to clients’ criteria & output/alerts format, with user-defined sentimental weightings, with 24/7 web & apps access, to significantly reduce, digitize & automate research effort. Regarding Data/A.I. technology cooperation, the company has been working along include Caixin, the HK Trade Development Council, and the Tsinghua University etc. In addition, Farseer is also the 1st Asia-focused FinTech startup got admitted to the Alibaba Sensetime “HK AI Lab” at The HKSTP & the 1st HK team got admitted to the Tsinghua PBCSF (清华五道⼝) Global Entrepreneurship Program.  Before establishing Farseer, Stanley founded & sold a cash equity brokerage platform primarily focused to deliver timely, bespoke & relevant on-the-ground HK/China stocks intelligence to the hedge funds universe. Previously an equity analyst & private banker with Citigroup & UBS respectively, Stanley accumulated rich Greater China sector know-how from across primarily the consumer, TMT & automobile industries & have close connections with technology development across China & the US.

Stanford’s large database adopts a composite indicator based on standardised citation metrics, including the number of citations, h-index (measuring scientific research output) and co-authorship. The study analysed data from 1965 to 2019, covering about seven million scientists and scholars in 22 major fields.

Professor Wong is an active researcher in Artificial Intelligence, Data Science, Evolutionary Algorithms, Data Mining, Machine Learning, Knowledge-Based Systems, and Fuzzy Sets Theory.