Miss Jiang Zhaoli, PhD student under the supervision of Professor He Xuedong, has been awarded Honorable Mention in the Best Student Paper Competition at the 2018 INFORMS Annual Meeting.
2018-10-16
SEEM students triumphed in the finalist stage of China Mainland, Hong Kong, Macao Digital Economy Innovation and Entrepreneurship Competition 2018. The team led by Mr. Stanley Ying (SEEM/5), consisting of Mr. Simon Wong (SEEM MPhil/2), Mr. Max Lam (SEEM MPhil/2), Mr. Carson Wah (CSE Msc/1), Ms. Kelly Chin (ECON/4) and Mr. Brandon Ma (MED/5) defeated 17 teams from universities in Mainland, Macau and Hong Kong and won Championship for their entrepreneurship project and technical showcase.
The competition hosted on an annual basis by China Council for the Promotion of the International Trade (CCPIT) invites student and young entrepreneur teams from all over China to demonstrate their creative business projects. Utilizing machine learning and natural language processing technologies to analyse news sources, summarize social mentions and gauge public sentiments, the CUHK team introduced a risk management and trading solution for digital currencies. Impressed by the technical maturity and the business concept, the team received the highest score among the finalist teams.
Prof. So Man Cho’s student LIU Huikang 劉慧康 has won the following award on September 23, 2018:
第四屆中國運籌學會數學規劃分會研究生論壇 優秀成果獎
2018-09-27
SEEM Undergraduate Stanley YK Ying, led a team of 3 CUHK students, has won the Best Case Research Award in AAB’s 4th Annual International Conference 2018 and Silver Medalist of World Asian Case Competition 2017
A year ago, Stanley YK Ying led a team of 3 CU students, under the supervision of Prof. Zhang (a CU Economics Professor) to present on DJI – Da Jiang Innovation, the leading commercial drone company. Their analysis was awarded 1st Runner during the Global Finalist stage, while their paper, after a double-blinded review, was selected to be published in their journal – Academy of Asian Business Review. And on yearly basis, the editorial committee will award the best article published in previous year’s journal with Best Case Research Award. This year, they are honoured to receive the prize from their committees. More information …
2018-07-12
Ms Sherry Ni receives the Best Student Paper Award at the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2018)
Ms Sherry Xue-Ying Ni receives the Best Student Paper Award at the 19th IEEE International Workshop on Signal Processing Advances in Wireless Communications (SPAWC 2018) for her paper titled “Mixed-Integer Semidefinite Relaxation of Joint Admission Control and Beamforming: An SOC-Based Outer Approximation Approach with Provable Guarantees”, co-authored with her PhD advisor Professor Anthony Man-Cho So. SPAWC is the flagship workshop of the Signal Processing for Wireless Communications and Networking Technical Committee (SPCOM-TC) of the IEEE Signal Processing Society.
2018-05-16
Professor C.H. Cheng and his team win Gold Award in the 46th International Exhibition of Inventions of Geneva in 2018
Professor C.H. Cheng led a team of researchers to develop a real-time trolley supply monitoring system at Hong Kong International Airport using their Video Analytics platform. The system turns visual content of trolleys at pick-up points into trolley quantities using advanced image processing and machine learning techniques. It first provides updated information through iOS and Android apps to frontline staff and then helps managers analyze various resource allocation strategies to deliver a world class passenger’s experience. The system has been adopted for actual use in the Baggage Reclaim Hall.
This system won a Gold Award in the 46th International Exhibition of Inventions of Geneva in 2018.
A real-time trolley supply monitoring system at Hong Kong International Airport received a Gold Award. This work is a collaboration work involving Hong Kong International Airport, Hong Kong R&D Centre for Logistics and Supply Chain Management Enabling Technologies, and the Chinese University of Hong Kong.
2018-05-04
Wimax, a team formed by two postgraduate students from the Department of Systems Engineering & Engineering Management — Lam Wing Yip and Wong Wai Chung, was awarded the Championship in B4B Challenge 2018 student stream — an entrepreneurship contest dedicated to identifying the most promising technological talents of Big Data and AI and matching them with mentors, amongst them Mr. Herbert Chia, notable big data guru and partner at Sequoia Capital China. Wimax based system for sports analytics. Unlike the typical, team-level modelling approach in sports outcome prediction, Wimax exploited the idea of big data and proposed a novel machine learning model that is capable of capturing player-level contributions to team-level performances. Taking care of more detailed information encoded in the data gives rise to a more accurate predictor compared to the traditional one. Wimax leveraged this predictive model to trace back the best skill sets for each player that can maximize wining probability of the next match. From a business perspective, Wimax provides tailor-made pre-game analysis reports for sports players as a service. This generates business values and opened the door for a new world of sports training. The idea of using Big Data and AI for sports training was admired by the judges, resorting to highest rating among the finalists.
April 19, 2018
Mr. Bowen Chin, undergraduate student in the SEEM department, submitted his final year project on an “Interactive Mobile Application to Assess and Detect Cognitive Impairment in Elderly Individuals”, supervised by Professor Helen Meng, to the Hong Kong ICT Awards 2018 and received the Student Innovation Award. This project has huge potential as it automates the pen-and-paper cognitive assessments used by psychiatrists to assess elderly people for dementia via a mobile application, which employs an interactive user interface, speech recognizer, and natural language processing technologies. This innovative approach has the potential to increase the efficiency and effectiveness of the cognitive assessment process, which would help increase early detection and diagnosis of dementia amongst the elderly population in an ageing society and help demented patient get early intervention and treatment.
2018-04-19
Two engineering projects from the Department of Systems Engineering and Engineering Management have received two Hong Kong ICT Awards 2018 including a Smart People Silver Award (Smart Inclusion) and a Student Innovation Award.
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Smart People Award (Smart Inclusion)
The Electronic Communication Book (E-Commu-Book), an application jointly developed by Prof. Helen Meng and her team from the Department of Systems Engineering and Engineering Management and the Stanley Ho Big Data Decision Analytics Research Centre, has won the Silver award in the Hong Kong ICT Awards 2018: Smart People Award (Smart Inclusion). The E-Commu-Book is a means of Alternative and Augmentative Communication for users with speech disorders and communicative impairment. The traditional, paper-version of the communication book is expensive to print and distribute. It also has limited extensibility for new vocabulary items. This motivates Prof. Meng’s team to develop the E-Commu-Book based on mobile device and cloud-based technology.
The team built a multilingual version by integrating CUHK’s home-grown Cantonese speech synthesis technology, and cloud-based automatic text-to-speech synthesis and automatic text-to-text translation technologies. At the same time, anonymous user’s usage patterns will be encrypted and stored in the cloud to inform further design improvement with Big Data Analytics technology. The E-Commu-Book is has gained recognition from the international research community through invited and keynote talk, publications and demonstrations at flagship international conferences in Germany, Macau and US. The project is collaborated with the Hong Kong Hospital Authority and is funded by the Innovation and Technology Fund’s Public Sector Trial Scheme.
Student Innovation Award
Mr. Bowen Chin, an undergraduate student from the SEEM department received the Student Innovation Award with his project titled Interactive Mobile Application to Assess and Detect Cognitive Impairment in Elderly Individuals. It was his final year project supervised by Prof. Helen Meng.
The projetc automates the pen-and-paper cognitive assessments used by psychiatrists to assess elderly people for dementia via a mobile application, which employs an interactive user interface, speech recognizer, and natural language processing technologies. This is an innovative approach to increase the efficiency and effectiveness of the cognitive assessment process, which can then help early detection and diagnosis of dementia amongst the elderly population in an ageing society and help demented patient get early intervention and treatment.
April 2018
Prof. WONG Kam-fai, Associate Dean (External Affairs) of the Faculty of Engineering and Professor of the Department of Systems Engineering and Engineering Management (SEEM); Dr. Gabriel FUNG Pui-cheong and Mr. LI Bo from SEEM — Development and industrialisation of ‘Bilingual Trilingualism’-based retrieval and understanding platform on large scale social media
The research team led by Prof. Wong Kam-fai, in collaboration with the Harbin Institute of Technology Shenzhen Graduate School, the University of International Relations, and the 54th Research Institute of China Electronics Technology Group Corporation, have jointly developed a ‘Bilingual Trilingualism’-based Retrieval and Understanding Platform on Large Scale Social Media. This platform is able to effectively retrieve targeted information from a complex web environment, which includes simplified and traditional Chinese, English, and Cantonese for Hong Kong, Macau, and Taiwan residents. The platform can also distinguish leaders and followers of a particular topic through the comments and forwarded messages of Weibo. Thus, the conversation will be identified and analysed more precisely, and the influential information will be extracted for topic summarisation. Novel technologies including deep learning, conditional random fields, and distributed cloud computing are adopted to provide services such as ‘Bilingual Trilingualism’-based social media information retrieval, multi-source and multi-dimension hot event evolution, cross-languages and cross-domains text analysis and summarisation, as well as sentiment analysis of the spread and evolution of topics on social media. These services will perfectly meet the needs of large scale ‘Bilingual Trilingualism’-based social media information retrieval and understanding, which are beneficial to the development of Internet information security and cross-border e-commerce related industries.
