Dr Mesfin Getu Woldetensay
PhD in Chemical Engineering
- Associate Professor
- School of Engineering & Physical Sciences
Dr Mesfin is the Associate Professor and Director of Learning & Teaching at the School of Engineering and Physical Sciences.
Dr Mesfin is currently working as Associate Professor and Director of Learning & Teaching for EPS Dubai. In his previous role, he worked as Programme Director of Studies for Chemical Engineering.
He obtained his PhD degree (Chemical Engineering) from Universiti Teknologi PETRONAS (UTP) in 2011. After his graduation, he had worked as Postdoctoral Fellow at Process System Design and Control Laboratory (Yeungnam University, South Korea).
Prior joining Heriot-Watt University Dubai, Dr. Mesfin had worked both as a Lecturer and Senior Lecturer at Curtin University Malaysia from 2012 to 2015. He has a total of more than 10 years teaching experience in chemical and process engineering.
Dr Mesfin is the recipient of IChemE (Institution of Chemical Engineers) award for Research Innovation & Excellence. He is a Fellow of the Higher Education Academy (FHEA), Associate member of the institution of chemical engineers (AMIChemE) and Reviewer for various chemical engineering journals.
Dr. Mesfin was awarded a research grant of RM 94,000 from Curtin Sarawak Research Institute and Curtin Sarawak Research Fund. His research area focuses on studying the impact of uncertainties on process operation and design. Uncertainties are an inherent characteristic of any chemical process plant. They may arise both from external and internal factors and have a profound effect especially when the upstream and downstream plants are linked. Due to this, decision making for optimal operating conditions for an in-operating plant becomes complex and exacerbated with a change of product specification and utility requirements. Hence, it’s important to develop a mechanism that can be used as guideline for prior-decision making for the in-operating plant by taking into consideration and realising those uncertainties effects.
Mesfin, G & Shuhaimi, M. (2010). A chance constrained approach for a gas processing plant with uncertain feed conditions. Computers and Chemical Engineering, 34(8), 1256-1267. Elsevier.
Mesfin, G., Shuhaimi, M., Moonyong, L. (2012). Analysing the effects of uncertainties on the economic performance of a chemical process plant using a probabilistic optimisation technique. Computer Aided Chemical Engineering, 30, 832-836, 2012. Elsevier.
Mesfin,G., Khan, M.S., Long, N.V., Moonyong, L. (2012). Studying the effect of feed composition variation on typical natural gas liquid (NGL) recovery processes. Computer Aided Chemical Engineering, 31, 405-409. Elsevier.
Mesfin, G., Shuhaimi, M., Moonyong, L.(2013).Techno-economic analysis of potential natural gas liquid (NGL) recovery processes under variations of feed compositions. Chemical Engineering Research and Design, 91(7), 1272-1283. Elsevier.
Mesfin, G., Shuhaimi, M., Moonyong, L.(2013). Profit optimisation for chemical process plant based on a probabilistic approach by incorporating material flow uncertainties. Computers and Chemical Engineering, 59,186-196.Elsevier.
Mesfin, G., Shuhaimi, M., Yudi, S.,Khan, M.S., Bahadori, A.,Moonyong, L.(2015). Risk-based optimization for representative natural gas liquid (NGL) recovery processes by considering uncertainty from the plant inlet. Journal of Natural Gas Science and Engineering, 27, 42-54.Elsevier.
Khan, M.S, Husnil, Y.A., Mesfin, G., Moonyong, L. (2012). Modelling and Simulation of Multi-stream Heat Exchanger Using Artificial Neural Network. Computer Aided Chemical Engineering, 31,1196-1200.Elsevier.
Jung, Y., Long, N.V., Mesfin, G., Moonyong, L. (2012). A Study of Complex Distillation Arrangements for Improved Depropanizing, Debutanizing and Deisobutanizing Fractionation of NGL. Computer Aided Chemical Engineering, 31,680-684. Elsevier.
Khan, M.S., Chaniago, Y.D., Mesfin, G., Moonyong, L. (2014). Energy saving opportunities in integrated NGL/LNG schemes exploiting: Thermal-coupling common-utilities and process knowledge. Chemical Engineering & Processing: Process Intensification, 82, 54-64. Elsevier.
Khan, M.S., Lee, S.,Mesfin,G., Moonyong, L.(2015). Knowledge-inspired investigation of selected parameters on energy consumption in nitrogen single and dual expander processes of natural gas liquefaction. Journal of Natural Gas Science and Engineering, 23,324-337.Elsevier.
Park, J.H., Khan, M.S., Andika, R., Mesfin, G., Bahadori, A., Moonyong, L. (2015).Techno-economic evaluation of a novel NGL recovery scheme with nine patented schemes for offshore applications. Journal of Natural Gas Science and Engineering, 27, 2-17. Elsevier.
Tiong CC., Jobrun, N., & Mesfin, G. (2016). Retrofitting Options for Natural Gas Liquid (NGL) Fractionation Trains Using the Concept of Single Column Development. Procedia Engineering, 148,923-931. Elsevier.
Wahid A., Pham, L.T.D, Mohd, S.K, Mesfin,G., Moonyong,L. (2018). Measuring the reliability of a natural gas refrigeration plant: Uncertainty propagation and quantification with polynomial chaos expansion based sensitivity analysis. Reliability Engineering & System Safety,172, 130-117. Elsevier.