Hai Huang

Dr Hai Huang BSc, MSc, PhD

Lecturer in Computing

Dr Hai Huang obtained his PhD from Swinburne University of Technology, Australia. He has more than 10 years’ international research experience in France, Australia, Saudi Arabia, Ireland, and China. Before joining University of Greenwich, he was a senior research fellow at the French Institute for Research in Computer Science and Automation (INRIA).


  • Best Research Paper Award at the 16th Extended Semantic Web Conference (ESWC-2019)
  • Research Award of Université Côte d’Azur, 2019
  • Outstanding Research Paper Award at the 17th Chinese Conference on Techniques and Applications of Systems Simulation, 2016

Research / Scholarly interests

Dr. Hai Huang’s research interests include Semantic Web, Graph Database, Big Data, Knowledge Graph, Linked Open Data and Machine Learning.  He has published papers within these fields in leading academic conferences.

Recent publications


Huang, Hai , Chen, Zonghai, Liu, Chengfei, Huang, He , Zhang, Xiangliang (2016), An effective suggestion method for keyword search of databases. Springer. In: , , , . Springer, World Wide Web, 20 (4) . pp. 729-747 ISSN: 1386-145X (Print), 1573-1413 (Online) (doi: https://doi.org/10.1007/s11280-016-0413-1).

Conference proceedings

Huang, Hai and , Gandon, Fabien (2019), Learning URI selection criteria to improve the crawling of linked open data. Springer. In: , , In: Pascal Hitzler, Miriam Fernández, Krzysztof Janowicz, Amrapali Zaveri, Alasdair J.G. Gray, Vanessa Lopez, Armin Haller, Karl Hammar (eds.), The Semantic Web: 16th International Conference, ESWC 2019, Portorož, Slovenia, June 2–6, 2019, Proceeding. Springer, Cham, Switzerland , 11503 (1st) . pp. 194-208 . ISBN: 9783030213473ISSN: 0302-9743 (Print), 1611-3349 (Online) (doi: https://doi.org/10.1007/978-3-030-21348-0_13).