School of Energy and Chemical Engineering
XMU Offers Study and Research Opportunities in Energy and Chemical Engineering
From 17 to 20 December 2019, Prof. Ren Bin, Deputy Dean of College of Chemistry and Chemical Engineering, Xiamen University (XMU) paid a visit to Xiamen University Malaysia (XMUM), to share postgraduate information and research opportunities with students and faculty from School of Energy and Chemical Engineering, XMUM.
General
Talk on Postgraduate Application Organized at XMUM
On 18 December 2019, International Affairs Office of Xiamen University Malaysia (XMUM) organised a talk on how to apply for postgraduate programmes, which was specifically planned for the final-year Sciences and Engineering students.
General
The 5th Photojournalism Exhibition Held at XMUM
SEPANG: The 5th Photojournalism Exhibition has been held at Xiamen University Malaysia from 24 to 27 December 2019.With the theme "Single Mother: The Sole Breadwinner", this exhibition is the final project of "Photojournalism", a course provided to students majoring in Journalism Programme. Dr. Wang Changsong, Programme Coordinator of Journalism & Advertising Programmes, and Mr. Muhammad Afiq Sukiman, the project advisor, were invited to officiate the opening ceremony on 24 December.
General
News of 2019 at XMUM
1. XMUM Undergraduate Student Publishes in Q1-Indexed Journal as First Author
General
Innovation Talk Series #14 | Protecting Local Rivers via Effective Microorganism
Innovation Talk Series #14 was held on 18 December 2019 by Innovation Center, with Jordan Ng invited as the guest speaker. Concerned that the importance of Klang River has been undervalued by the local community, in 2016 he founded Kelab Warisan Sungai Klang (Klang River Heritage Club, or KWSK), a non-profit organization dedicated to protection and preservation of the River for future generations.
School of Artificial Intelligence and Robotics
Ir. Dr. Wong Shen Yuong Publishes in SCI Q1 Journal
Ir. Dr. Wong Shen Yuong from Electrical and Electronics Engineering (EEE) programme recently published an article entitled “Hybrid Data Regression Model Based on the Generalized Adaptive Resonance Theory Neural Network” in December 2019 (Volume 7, Issue 1) in IEEE Access, a peer-reviewed scientific journal published by the Institute of Electrical and Electronics Engineers (IEEE).
