Overview
Key publications
Research funding
Supervising & teaching
Career
Section: Overview
Overview
Key publications
Research funding
Supervising & teaching
Career

Key details

Areas of expertise

  • Artificial intelligence
  • Block chain
  • Robotics
  • Software engineering
  • Control & automation

Available to supervise research students

Not available for media queries

About Wenjie Ye

Wenjie Ye is a lecturer with the Information Technology Discipline in the College of Arts, Business, Law, Education and IT.

Wenjie received his BEng degree in Computer Engineering from Nanyang Technological University, Singapore, in 2007, and his PhD degree in electrical engineering from the Faculty of Science, Engineering and Technology, Swinburne University of Technology, Australia in 2017.

Wenjie's research interests are in:

  • artificial intelligence
  • blockchain
  • computer visions
  • fog computing
  • robotics
  • sliding mode control
  • system automation
  • vehicle systems
  • vehicle control.

Qualifications

  • PhD, Swinburne University of Technology, Australia, 2017
  • BEng (Hons), Nanyang Technological University, Singapore, 2007

Key publications

Year Citation
2016 Ye, W., Shen, W., Zheng, J., Honnery, D., & Dayawansa, D. (161101). Fuzzy parameter tuning sliding mode control for longitudinal motion of underground mining electric vehicles based on a single wheel model Paper presented at 2016 International Conference on Advanced Mechatronic Systems (ICAMechS). IEEE.

doi: 10.1109/icamechs.2016.7813461
2015 Ye, W., Shen, W., Zheng, J., Honnery, D., & Dayawansa, D. (150101). Fuzzy Sliding Mode Control for Logitudinal Motion of Underground Mining Electric Vehicles Paper presented at PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (pp. 1431-1436). IEEE.
2014 Ye, W., Shen, W., Zheng, J., Honnery, D., & Dayawansa, D. (141201). Sliding mode control for longitudinal motion of underground mining electric vehicles Paper presented at Proceedings of 2014 International Conference on Modelling, Identification & Control. IEEE.

doi: 10.1109/icmic.2014.7020764

Year Citation
2020 Wang, X., Gu, B., Ren, Y., Ye, W., Yu, S., Xiang, Y., & Gao, L. (200201). A Fog-Based Recommender System. IEEE Internet of Things Journal, 7(2), (1048-1060).

doi: 10.1109/JIOT.2019.2949029
2016 Ye, W., Shen, W., Zheng, J., Honnery, D., & Dayawansa, D. (160101). Sliding mode control of longitudinal motions for underground mining electric vehicles with parametric uncertainties. INTERNATIONAL JOURNAL OF MODELLING IDENTIFICATION AND CONTROL, 26(1), (68-78).

doi: 10.1504/IJMIC.2016.077739

Research funding for the past 5 years

Funding details for this researcher are currently unavailable.

Supervision of research students at VU

Available to supervise research students

Not available for media queries

Currently supervised research students at VU

No. of students Study level Role
1 PhD Associate supervisor
1 Master of Research Associate supervisor

Currently supervised research students at VU

Students & level Role
PhD (1) Associate supervisor
Master of Research (1) Associate supervisor

Completed supervision of research students at VU

No. of students Study level Role
1 Master of Research Associate supervisor

Completed supervision of research students at VU

Students & level Role
Master of Research (1) Associate supervisor

Careers

Details of this Researcher's career are currently unavailable.