Experience sharing on evaluating sources you read (October 21 & 22, 2020)

Professor S.C. Tan

Director of Research Student Centre

Faculty of Engineering

Description

Distinguished Scholar Sharing Series:

Poor quality references are likely to adversely affect your results for your research. You always need to be selective and evaluate what you read, particularly in regard to online research material as ‘fake news’, and ‘alternative facts’ become increasingly prevalent in social discourse. In this sharing, you’ll learn how to evaluate each source to ensure it’s appropriate for your research!  

Participants are also invited to share what they learned and experienced. Getting started with the Peer-Peer Knowledge Sharing which you must find it valuable! 

About the Speaker

Prof. Siew-Chong Tan is a tenured Full Professor at the University of Hong Kong, Hong Kong SAR. He received his B.Eng. (Honors) and M.Eng. degrees in Electrical Engineering from the National University of Singapore, Singapore, and Ph.D. in Electronic and Information Engineering, specializing in power electronics, from the Hong Kong Polytechnic University, Hong Kong SAR. He is Director of Emerging Power Electronics Laboratory and Director of 100 kVA Smart Grid Research Facility at the University of Hong Kong.

Tan specializes in power electronics and control. He has published works in nonlinear and sliding mode control applications, LED drivers and lighting control, electric springs, resonant converters, and switched-capacitor converters. His research outputs, to date, include 2 research monographs, 2 book chapters, 110 journal papers, and 85 conference papers. He has obtained 16 patents for his work, with 3 pending patent applications. His recent awards include (1) Best Paper Award at IEEE ECCE 2016, (2) Outstanding Presentation Award at IEEE APEC 2016, (3) Best Student Poster Presentation Award at IEEE ECCE 2015, and (4) Second Prize Paper Award at IEEE PEDG 2014. His published works are listed in Google Scholar. He is one of the Top 1% Scholars (globally most-cited scientists according to Thomson Reuter’s Essential Science Indicators).

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