Research output per year
Research output per year
Personal profile
Expertise related to UN Sustainable Development Goals
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):
Education/Academic qualification
Ph.D., Mechanical Engineering, Memorial University of Newfoundland
1 Jan 2019 → 19 Oct 2023
Award Date: 19 Oct 2023
Doctoral degree, Engineering and Technology, Memorial University of Newfoundland
Award Date: 20 Aug 2023
M.Eng., Process Engineering, Memorial University of Newfoundland
1 Jan 2017 → 31 Dec 2018
Award Date: 18 Mar 2019
Master's degree, Engineering and Technology, Memorial University of Newfoundland
Award Date: 31 Dec 2018
M.Sc., Sustainable Process Engineering, University of Moratuwa
Award Date: 31 Dec 2016
Master's degree, Engineering and Technology, University of Moratuwa
Award Date: 1 Dec 2016
Bachelor's degree, Engineering and Technology, University of Moratuwa
Award Date: 21 Aug 2009
B.Sc. (Hons), Materials Engineering, University of Moratuwa
2005 → 2009
Award Date: 21 Jun 2009
Keywords
- Materials, Bond Graph, Digital Twins, Condition Monitoring
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Collaborations and top research areas from the last five years
Recent external collaboration on country/territory level. Dive into details by clicking on the dots or
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A Digital Twin Development Framework for an Electrical Submersible Pump (ESP)
Don, M. G., Liyanarachchi, S. & Wanasinghe, T. R., 2025, In: Archives of Advanced Engineering Science. 3, 1, 10 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access -
Digital Twins and Enabling Technology Applications in Mining: Research Trends, Opportunities, and Challenges
Don, M. G., Wanasinghe, T. R., Gosine, R. G. & Warrian, P. J., 2025, In: IEEE Access. 13, p. 6945-6963 19 p., 2169-3536.Research output: Contribution to journal › Review Article › peer-review
Open Access -
A Digital Twinning Methodology for Vibration Prediction and Fatigue Life Prognosis of Vertical Oil Well Drillstrings
Don, M. G. & Rideout, G., 2023, In: IEEE Access. 11, p. 62892-62905 14 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access6 Citations (Scopus) -
Fatigue life prognosis of an oil well drill string using cascaded dynamic models
Don, M. G. & Rideout, G., Sept 2023, In: Applications in Engineering Science. 15, 100142.Research output: Contribution to journal › Article › Scientific › peer-review
3 Citations (Scopus) -
An experimentally-verified approach for enhancing fluid drag force simulation in vertical oilwell drill strings
Don, M. G. & Rideout, G., 31 Dec 2022, In: Mathematical and Computer Modelling of Dynamical Systems. 28, 1, p. 197-228 32 p.Research output: Contribution to journal › Article › Scientific › peer-review
Open Access4 Citations (Scopus)