Department of Mechanical and Industrial Engineering

Prof L Mthembu

College of Science, Engineering and Technology
School of Engineering
Department: Mechanical Engineering
Associate Professor
Tel: 011 670 9324
E-mail: mthemls@unisa.ac.za

Qualifications

  • PhD Engineering (Wits)

Fields of academic interests

  • Computational Intelligence

Field of Specialisation

  • Soft computing and optimization

Books

Book chapters:

  • Boulkaibet, I, Mthembu, L, Marwala, T, Friswell, MI & Adhikari S (eds). Finite element model updating using an evolutionary Markov Chain Monte Carlo algorithm, in Dynamics of Civil Structures (volume 2), edited by S Pakzad. Cham: Springer:245–253.
  • Mthembu, L, Marwala, T, Friswell, MI & Adhikari, S. 2011. Finite element model selection using particle swarm optimization, in  Dynamics of Civil Structures (volume 4), edited by T Proulx. Cham: Springer:41–52.

 

Journal articles

  • Boulkaibet I,  Mthembu L, Marwala T, Friswell M. I, Adhikari S. Finite Element Model Updating using the Shadow Hybrid Monte Carlo technique, Mechanical Systems and Signal Processing, Vol. 52-53, pp 115-132, February 2015.
  • Boulkabeit I, Mthembu L, De Lima Neto, Marwala T, Finite Element Model Updating using Fish School Search and Volitive particle swarm optimization. Integrated Computer Aided –Engineering, Vol. 22, No. 4, pp 361-376, 2015.
  • Mthembu L, Marwala T, Friswell MI, Adhikari S, Model Selection in Finite Element Model Updating using the Bayesian Evidence Statistic. Journal of Mechanical Systems and Signal Processing, Vol. 25(7), pp 2399-2412, 2011.

Conference papers:

  • Agarwal, A & Mthembu, L. 2020. CFD analysis of conical diffuser under swirl flow inlet conditions using turbulence models. Proceedings of Materials Today 27(2):1350–1355.
  • Mngenge, NA, Mthembu, L, Nelwamondo, FV & Ngejane, C. 2015. An integrated approach to fingerprint indexing using spectral clustering based on minutiae points. Paper delivered at the IEEE Science and Information Conference, 28–30 July, London, UK.
  • Mngenge, NA, Mthembu, L, Nelwamondo, FV & Ngejane, C. A fingerprint indexing approach using multiple similarity measures and spectral clustering. Paper delivered at the 12th Conference on Computer and Robot Vision, 3–5 June, CRV, Halifax, Nova Scotia.

Professional positions, fellowships & awards

  • Chair of Quality
  • Non-examining Chair

Other

Biography:

Dr Linda Mthembu completed his PhD at the University of the Witwatersrand. He has more than half a decade of lecturing experience at the University of Johannesburg. Dr Mthembu has interests in practical mechanical design projects.

His publications are also on: