Ir. Dr. Wong Shen Yuong Wins Best Presenter Award at IEEE Conference


The Office of Research and Innovation congratulates Assistant Professor Ir. Dr. Wong Shen Yuong, from Electrical and Electronic Engineering Programme, on winning the “Best Presenter Award” at the Institute of Electrical and Electronics Engineers (IEEE) Conference on Systems, Process and Control (Malaysia Section). Ir. Dr. Wong impressed the Judging Committee made up of 8 panels from the Organizing Committees when she presented her research paper entitled “Hybrid Genetic Algorithm Based Fuzzy Inference System for Data Regression” on 15 December 2018.

In the research, Dr. Wong and her team, two scientists affiliated to University Tenaga Nasional (UNITEN) and Tenaga Nasional Berhad, explored time series regression analysis with clarity and interpretability to predict a future time series real value based on the inputs from historical data. The research outcome can be applied to stock market and temperature forecasting.

Ir. Dr. Wong Shen Yuong received the Best Presentation Award from Ts. Ir. Dr. Mohd Nasir Taib, the General Chair of this conference.

I was deeply grateful that I won the Best Presenter Award in this conference,” said Ir. Dr. Wong. “It was an inspiring and humbling experience for me. Researchers from various disciplines offered different perspectives and constructive opinions on my research.”

The IEEE Conference on Systems, Process and Control (Malaysia Section) is an international conference that provides opportunities for participants from Malaysia and overseas to share research findings, establish network and develop collaborations. It is endowed by IEEE, the world’s largest professional association dedicated to advancing technological innovation and excellence for the benefit of humanity.

Ir. Dr. Wong is a Professional Engineer (PEng.) registered to the Board of Engineers Malaysia, accredited under the Washington Accord. Her research interests include deep learning, machine learning, extreme learning machine, fuzzy inference systems, regression and several applications of artificial intelligence such as face recognition, pattern recognition, fault detection and diagnosis, estimation and forecasting. She is mentoring six (6) undergraduates from Xiamen University Malaysia, four (4) graduate students from Xiamen University China, and two (2) doctoral students from UNITEN. She aspires to help her students to gain access to the latest knowledge and resources in AI industry and to expand their intellectual capabilities in formulating an answerable research activity. 

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