Student Achievements 2019

Winning Most Innovative Award in PwC Data-lympics 2019
Winning Most Innovative Award in PwC Data-lympics 2019

Mr Hui Kam Leung and Mr Sin Bo Chi (INFE, Year-4) under the supervision of Dr Ray Cheung (Associate Professor of EE) who teamed up with two CS students have won the Most Innovative Award in PwC Data-lympics 2019.

Organized by the PricewaterhouseCoopers Hong Kong, the competition is a two-day event that provided an opportunity for university students to demonstrate how data and analytics is used to address business challenges.

Best Student Paper Award at the IEEE 26th ICSE 2018
Best Student Paper Award at the IEEE 26th International Conference on Systems Engineering 2018

Dr Ray Cheung, Associate Professor and his PhD student, Mr Abdurrashid Ibrahim SANKA, have won the Best Student Paper Award at the IEEE 26th International Conference on Systems Engineering (ICSEng 2018). The winning paper is titled “Efficient High Performance FPGA based NoSQL Caching System for Blockchain Scalability and Throughput Improvement”.

The Conference was jointly organized on a rotational basis among three institutions, University of Nevada, Las Vegas, USA, Wroclaw University of Technology, Poland, and Coventry University, UK, which provided a high-level forum for scholars, researchers and engineers from all over the world to share their views, research achievements, explore the hot issues and exchange the new experiences and technologies in the fields of Systems Engineering.

Mr Wong Chi Fai
Winning Two Prizes in the Second Computational Finance Competition

Mr Wong Chi Fai (INFE Final Year Student) supervised by Mr Van Ting (Instructor of EE) has won two prizes in the Second Computational Finance Competition.

  • Best Risk-Adjusted Return - Champion
  • Best Overall Return - 1st Runner-up

Organized by IEEE (Hong Kong) Computational Intelligence Chapter ("IEEE (HK) CI Chapter") and Global eSolutions (HK) Limited ("GES"), the competition aims to promote the use of Computational Intelligence in the area of finance and to develop a new generation of Algo Trading talents in Hong Kong.