Seems student and his teammates triumphed in the finalist stage (Top 5) of UBS Group Chief Operating Officer (GCOO) Case Challenge hosted on 7 August 2019 at UBS Hong Kong Office. The team led by Mr. Choi Ho Yin Issac (SEEM/3), consisting of Mr. Chow Tak Hin (QFIN/3), Mr. Chan Pui Ming Kenneth (QFRM/3) and Mr. Wan Tsz Wing (QFRM/3). The team was challenged to re-engineer the remittance process of a fictitious bank to improve its efficiency. They proposed a solution included automation, integrated ticketing system which enables an employee to pass each transaction downstream, innovation in staff’s working performance optimization, machine learning in computer vision to allow significant uplift in the processing time of signature verification.
Prof. Jeffrey Xu Yu and Prof. Hong Cheng’s research project entitled “Scalable Graph Representation Learning and Distributed Graph Processing Systems” was supported by Tencent AI Lab Rhino-Bird Focused Research Program 2018. Through their investigation and collaboration with researchers from Tencent AI Lab in 2018-19, their project has generated fruitful results. Prof. Cheng presented their research findings on the Research Symposium organized by Tencent AI Lab on September 23, 2019. Their project won the Application Innovation Award among 39 funded projects.
The team consisting our Year 2 BEng FinTech students, who are : Chen Yu (Fintech year 2), Lai Ho Nam (MIE year 4), XU Xiang (Fintech year 2), YIN Mingyao (IBBA year 3), TIE Tianmeng (Fintech year 2) and ZENG Meiqi (Fintech year 2), proposed an all-in-one SME banking solution in the BEA 100 Fintech Challenge held on June 8 and 9, 2019, won the “Outstanding Team” award with a monetary prize of $15,000. Members of the team would like to thank Prof. CHAN Chun Kwong and the Teaching Assistants of the FTEC3002 course for their generous help in preparing for the challenge.
Caption of the photo: Chen Yu (2nd on the right), ZENG Meiqi (centre), Tie Tianmeng (2nd on the left) and Xu Xiang (Centre front)
Mr. YING Yau Kit Stanley, a Year 5 SEEM Undergraduate student, teamed with medical and speech and hearing students won the following 2 awards in Hong Kong University Student Innovation and Entrepreneurship Competition held on May 25-26, 2019 among the 203 projects submitted from 676 students in 16 local tertiary institutions.
Category: Innovation
Award
Name of Project
Merit
Ketone Breathalyzer
Category: Entrepreneurship
Award
Name of Project
Third-class
Versatile Augmentative and Alternative Communication (AAC) with Rehabilitation for Language Disorder
Mr. Stanley Ying would like to express his sincerest gratitude to his supervisor Prof. Helen Meng for her ongoing guidance and inspirations that prepared him well for the competition.
Prof. Xunying Liu’s PhD student, Mr. Xurong Xie, co-supervised with Prof. Tan Lee of EE Department, won the 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) Best Student Paper Award by the paper “BLHUC: Bayesian Learning of Hidden Unit Contributions for Deep Neural Network Speaker Adaptation”. The paper was co-authored by Xurong Xie, Xunying Liu, Tan Lee, Shoukang Hu (SEEM PhD candidate), and Lan Wang. Prof. Alan V. Oppenheim of MIT and Prof. Tony Constantinides of Imperial College London presented the award to Xurong during the award ceremony.
2 teams of SEEM students achieved excellent results in the bi-annual Prof. Charles K. Kao Student Creativity Awards. The team led by Mr. Stanley Ying (SEEM/5), supervised by Professor Helen Meng, titled ‘Versatile Augmentative and Alternative Communication (AAC) System with Rehabilitation for Language Disorder Patients’ was awarded Second Runner-up in the Undergraduate Group Category. Their solution makes use of mobile solution and evidence-based approaches to help language disorder patients to communicate and rehabilitate. Meanwhile, another team with team members: Mr. Aaron Tsang, Brian Lau, and Samson Sum, supervised by Professor Daniel Long, titled ‘Analysis of Operations in Local Healthcare Systems’ was awarded Merit in the Undergraduate Group Category. Their solution takes advantage of the Random Forest Method to give a more accurate wait time prediction for patients waiting in the emergency department.
Professor Anthony Man-Cho So Receives the 2018 IEEE Signal Processing Society Best Paper Award | Department of Systems Engineering and Engineering Management (SEEM), CUHK Professor Anthony Man-Cho So receives the prestigious 2018 IEEE Signal Processing Society Best Paper Award at the 44th International Conference on Acoustics, Speech, and Signal Processing (ICASSP) held in Brighton, United Kingdom. His article, titled “Outage Constrained Robust Transmit Optimization for Multiuser MISO Downlinks: Tractable Approximations by Conic Optimization”, was co-authored with Kun-Yu Wang, Tsung-Hui Chang, Wing-Kin Ma, Chong-Yung Chi and was published in the IEEE Transactions on Signal Processing in November 2014. The award honors the author(s) of a paper of exceptional merit dealing with a subject related to the Society’s technical scope.
Congratulations to SEEM members of receiving awards in the 47th International Exhibition of Inventions of Geneva in April 2019. | Department of Systems Engineering and Engineering Management (SEEM), CUHK
Congratulations to SEEM members of receiving awards in the 47th International Exhibition of Inventions of Geneva in April 2019. The information of the winning projects are as follows:
Gold Medal
Team member: Nezha (by Dr. Gabriel FUNG, from the Department of Systems Engineering & Engineering Management, Faculty of Engineering, with technology licensed by CUHK)
Project: Nezha – an AI-driven Checkbot for proof reading Chinese
Nezha is an AI-driven Chinese language Checkbot to help people proofread Chinese. It is built from a proprietary data algorithm using advanced natural language processing (NLP) technology. Its lexicon contains billions of Chinese vocabulary (more than 100GB). The name is taken from the God “Nezha” in the Chinese novel “Creation of the Gods” in terms of its power to identify various mistakes and to make appropriate corrections. Nezha conducts its work on the cloud. It is the first of its kind in the market with its advantages of high accuracy, fast analytic time and ease to use.
Silver Medal and Prize of the Ministry of Scientific Research and Innovation – Romania
Team members: Prof. WONG Kam Fai, Dr. Gabriel FUNG, Mr. Bo LI and Mr. Felix LIU, from the Department of Systems Engineering & Engineering Management, Faculty of Engineering
Project: SAMUL – A Toolkit for Sentiment Analysis for Multilanguage Application
SAMUL is a multilingual sentiment analysis toolkit. Given a specific topic, SAMUL will search, analyse, organise and report the related information from the designated social media and websites using natural language processing (NLP) and big data analytic technology. The analysis by SAMUL includes extracting the credibility, content and mood of the author of a message. Currently, SAMUL can read Cantonese, Mandarin and English, but can be extended to other alphabetic languages. During 2014–2016, the research team surveyed six of its major clients and the accumulated revenue boost made by SAMUL was USD$25 million. SAMUL is protected by 5 patents (three accepted and two pending).
Silver Prize
Team member: Prof. Cheng Chun Hung, former Professor, from the Department of Systems Engineering & Engineering Management, Faculty of Engineering; Director of Research and Technology Development, Logistics and Supply Chain Multitech R&D Centre
Project: Smart Traffic Light System on Dam Section of Tai Tam Road
The smart traffic lights system has solved the long-standing traffic deadlock and traffic jam at Tai Tam Road (Dam Section) in one go. It can detect vehicle types and dimensions, analyse the traffic flow and traffic queue length data, and then calculate the most effective green signal time according to the real-time traffic condition.
Team members: Prof. Cheng Chun Hung, former Professor, from the Department of Systems Engineering & Engineering Management, Faculty of Engineering and Director of Research and Technology Development, Logistics and Supply Chain Multitech R&D Centre; Mr. Tim Chan and Dr. Dorbin Ng,from the Department of Systems Engineering & Engineering Management, Faculty of Engineering
Project: Smart Landslide Detection System
Mountainous terrain covers 60% of the land area of Hong Kong, and landslides may happen under conditions of continuous rainfall. If early signs of debris flow are not detected, it might cause casualties and losses. A smart landslide detection system is developed to monitor real-time terrain conditions and transmit wireless data to the mobile devices of duty staff, using low-cost and low-energy sensing devices.
Left to Right: Prof. WONG Kam Fai, Dr. Gabriel FUNG
The Chartered Institutions of Logistics and Transportation in Hong Kong (CILTHK) Student Day is an annual event that brings students together and aims to give students a deeper understanding of the local logistics industry through a case study competition.
This year, the Student Day was held on 2nd March, 2019 in CUHK with 7 participating institutions from Hong Kong and Macau. The CUHK team, which consisted of our students (CHEUNG Tin Hoi Kaiser; HUI Pui Ki; SUM Wing Hei; SZETO Chung Ming; WU Ching Wa) supervising by Prof. Daniel Long, had tackled and presented the topic “What are your proposed solutions to ensure no invasion of drone in airport” very well and won the championship.
Department of Systems Engineering and Engineering Management, CUHK
