Dr. Mark Ovinis
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Dr. Mark Ovinis

Senior Lecturer
Department of Engineering, Birmingham City University, Birmingham, England


Highest Degree
Ph.D. in Mechanical Engineering from Loughborough University, UK

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Area of Interest:

Engineering
100%
Mechanics
62%
Mechanical Engineering
90%
Mechatronics
75%
Robotics
55%

Research Publications in Numbers

Books
2
Chapters
1
Articles
24
Abstracts
0

Selected Publications

  1. Vasudevan, M., S. Remesh, V. Perumal, P.B. Raja and M.N.M. Ibrahim et al., 2023. Facile synthesis of MoS2 nanoflower-Ag NPs grown on lignin-derived graphene for Troponin I aptasensing. Chem. Eng. J., Vol. 468. 10.1016/j.cej.2023.143613.
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  2. Vasudevan, M., A. Kanesan, S. Remesh, V. Perumal and P.B. Raja et al., 2023. Characterizations of synthesized laser scribed graphene/molybdenum disulfide (LSG/MoS2) hybrids for supercapacitor performance. J. Water Environ. Nanotechnol., 8: 137-150.
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  3. Kumar, S.D.V., S. Karuppanan, V. Perumal and M. Ovinis, 2023. Failure pressure prediction of corroded high-strength steel pipe elbow subjected to combined loadings using artificial neural network. Mathematics, Vol. 11. 10.3390/math11071615.
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  4. Iqbal, M., S. Karuppanan, V. Perumal, M. Ovinis and A. Rasul, 2023. Rehabilitation techniques for offshore tubular joints. J. Mar. Sci. Eng., Vol. 11. 10.3390/jmse11020461.
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  5. Arumugam, T., S.D.V. Kumar, S. Karuppanan and M. Ovinis, 2023. The influence of axial compressive stress and internal pressure on a pipeline network: A review. Appl. Sci., Vol. 13. 10.3390/app13063799.
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  6. Loganathan, N.N., V. Perumal, B.R. Pandian, R. Atchudan, T.N.J.I. Edison and M. Ovinis, 2022. Recent studies on polymeric materials for supercapacitor development. J. Energy Storage, Vol. 49. 10.1016/j.est.2022.104149.
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  7. Lo, M., S.D.V. Kumar, S. Karuppanan and M. Ovinis, 2022. An artificial neural network-based equation for predicting the remaining strength of mid-to-high strength pipelines with a single corrosion defect. Appl. Sci., Vol. 12. 10.3390/app12031722.
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  8. Kumar, S.D.V., M. Lo, S. Karuppanan and M. Ovinis, 2022. Empirical failure pressure prediction equations for pipelines with longitudinal interacting corrosion defects based on artificial neural network. J. Mar. Sci. Eng., Vol. 10. 10.3390/jmse10060764.
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  9. Vasudevan, M., M.J.Y. Tai, V. Perumal, S.C.B. Gopinath and S.S. Murthe et al., 2021. Cellulose acetate-MoS2 nanopetal hybrid: A highly sensitive and selective electrochemical aptasensor of Troponin I for the early diagnosis of acute myocardial infarction. J. Taiwan Inst. Chem. Eng., 118: 245-253.
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  10. Lo, M., S. Karuppanan and M. Ovinis, 2021. Failure pressure prediction of a corroded pipeline with longitudinally interacting corrosion defects subjected to combined loadings using FEM and ANN. J. Mar. Sci. Eng., Vol. 9. 10.3390/jmse9030281.
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  11. Kumar, S.D.V., S. Karuppanan and M. Ovinis, 2021. Failure pressure prediction of high toughness pipeline with a single corrosion defect subjected to combined loadings using artificial neural network (ANN). Metals, Vol. 11. 10.3390/met11020373.
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  12. Gobalu, K., M. Vasudevan, S.C.B. Gopinath, V. Perumal and M. Ovinis, 2021. Molybdenum disulphide/cellulose acetate nanofiber composite on screen printed electrodes for detecting cardiac troponin by electrical impedance spectroscopy. Cellulose, 28: 5761-5774.
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  13. Anthony, L.S., M. Vasudevan, V. Perumal, M. Ovinis, P.B. Raja and T.N.J.I. Edison, 2021. Bioresource-derived polymer composites for energy storage applications: Brief review. J. Environ. Chem. Eng., Vol. 9. 10.1016/j.jece.2021.105832.
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  14. Ullah, B., M. Ovinis, M.B. Baharom, S.S.A. Ali, B. Khan and M.Y. Javaid, 2020. Effect of waves and current on motion control of underwater gliders. J. Mar. Sci. Technol., 25: 549-562.
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  15. Subramani, I.G., V. Perumal, S.C.B. Gopinath, N.M. Mohamed, N. Joshi, M. Ovinis and L.L. Sze, 2020. 3D nanoporous hybrid nanoflower for enhanced non-faradaic redox-free electrochemical impedimetric biodetermination. J. Taiwan Inst. Chem. Eng., 116: 26-35.
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  16. Osman, A.B. and M. Ovinis, 2020. A review of in-situ optical flow measurement techniques in the Deepwater Horizon oil spill. Measurement, Vol. 153. 10.1016/j.measurement.2019.107396.
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  17. Arumugam, T., M.K.A.M. Rosli, S. Karuppanan, M. Ovinis and M. Lo, 2020. Burst capacity analysis of pipeline with multiple longitudinally aligned interacting corrosion defects subjected to internal pressure and axial compressive stress. SN Appl. Sci., Vol. 2. 10.1007/s42452-020-2994-7.
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  18. Osman, A.B., M. Ovinis, F.M. Hashim and I. Faye, 2019. Wavelet-based optical velocimetry for oil spill flow rate estimation. Measurement, 138: 485-496.
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  19. Hussain, N.A.A., S.S.A. Ali, M. Ovinis, M.R. Arshad and U.M. Al-Saggaf, 2019. Underactuated coupled nonlinear adaptive control synthesis using u-model for multivariable unmanned marine robotics. IEEE Access, 8: 1851-1865.
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  20. Farhood, N.H., S. Karuppanan, H.H. Ya and M. Ovinis, 2018. Experimental study of low velocity impact response of carbon/basalt hybrid filament wound composite pipes. Int. J. Struct. Stab. Dyn., Vol. 18. 10.1142/S021945541850089X.
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  21. Javaid, M.Y., M. Ovinis, F.B.M. Hashim, A. Maimun, Y.M. Ahmed and Barkat Ullah, 2017. Effect of wing form on the hydrodynamic characteristics and dynamic stability of an underwater glider. Int. J. Naval Archit. Ocean Eng., 9: 382-389.
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