Dr Kuveneshan Moodley

Kuveneshan Moodley   
Dr Kuveneshan Moodley is currently employed as a Senior Lecturer in the Department of Chemical Engineering.

He has completed his undergraduate and postgraduate engineering studies to PhD level at UKZN. His doctoral study was based on theoretical thermodynamics and pharmaceutical separation processing, and he holds a Master's degree in the field of process control and thermodynamics.

His research interests are in advanced process control schemes design, efficient low energy separation process design and thermodynamics. He is also performing research in the field of clean water production and alternate energy (solar). An additional research focus is engineering education, with special focus on bridging the gap between secondary and tertiary education through curriculum development.

He is currently supervising postgraduate research in these fields.
     
Position:   Senior Lecturer
Qualifications:
  PhD (Eng)
     
Discipline:   Chemical Engineering
Campus:   Howard College
Telephone:   031 260 1519
Email:   MoodleyK6@ukzn.ac.za
     
Recent Publications:





  Moodley, K., Rarey, J. and Ramjugernath, D., 2017. Model Evaluation for the Prediction of Solubility of Active Pharmaceutical Ingredients (APIs) to Guide Solid-Liquid Separator Design. Asian Journal of Pharmaceutical Sciences. (In press)

Moodley, K., Rarey, J. and Ramjugernath, D., 2017. Experimental solubility data for prednisolone and hydrocortisone in various solvents between (293.2 and 328.2) K by employing combined DTA/TGA. Journal of Molecular Liquids, 240, pp.303-312.

Moodley, K., Rarey, J. and Ramjugernath, D., 2017. Experimental solubility of diosgenin and estriol in various solvents between T=(293.2–328.2) K. The Journal of Chemical Thermodynamics, 106, pp.199-207.

Moodley, K., Rarey, J. and Ramjugernath, D., 2015. Application of the bio-inspired Krill Herd optimization technique to phase equilibrium calculations. Computers & Chemical Engineering, 74, pp.75-88.

Moodley, K., Rarey, J. and Ramjugernath, D., 2015. A universal segment approach for the prediction of the activity coefficient of complex pharmaceuticals in non-electrolyte solvents. Fluid Phase Equilibria, 396, pp.98-110.

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