Research output per year
Research output per year
(Former)
Research activity per year
ORCID iD: 0000-0002-5763-9935
Scopus Author ID: 55976278300
Dr. Hao Ran Chi obtained his bachelor of Engineering (Honors) with First Class Honor and Doctor of Philosophy in Electronic Engineering in the City University of Hong Kong in 2013 and 2018 respectively. Up to now, he has published more than 27 technical papers and has received multiple awards in international conferences and competitions for his excellent research performance. He is an IEEE member since 2014 and is the technical reviewer for top journal papers such as IEEE Transactions on Industrial Informatics, IEEE Transactions on Industrial Electronics, IEEE Transactions on Neural Network and Learning Systems, etc.
His research interests include cyber-physical systems, IoT infrastructure development, wireless communication, evolutionary optimization, machine learning, and smart grid.
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This person’s work contributes towards the following SDG(s):
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Research output: Journal Publications and Reviews › Editorial Preface › peer-review
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Research output: Journal Publications and Reviews › RGC 21 - Publication in refereed journal › peer-review
Research output: Chapters, Conference Papers, Creative and Literary Works › RGC 32 - Refereed conference paper (with host publication) › peer-review
CHI, H. (Recipient), Jun 2017
Prize: RGC 64B - Prizes and awards
CHI, H. (Recipient), Mar 2017
Prize: RGC 64B - Prizes and awards
CHI, H. (Recipient), 2016
Prize: RGC 64B - Prizes and awards
CHI, H. (Recipient), 2014
Prize: RGC 64B - Prizes and awards
CHI, H. (Recipient), 16 Aug 2016
Prize: RGC 64B - Prizes and awards
Student thesis: Doctoral Thesis