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Rawatlal, Randhir (Prof)

Director

  • +27 (0)31 260 2156
  • rawatlalr@ukzn.ac.za
  • PhD Chemical Engineering
  • Research Interests:
    Coming soon
  • “Coming soon”

Randhir Rawatlal is a professor of chemical engineering with research interests in Artificial Intelligence, Data Science, Institutional Research, Geo-spatial Analysis, Water Conservation and Reactor Engineering. He has held leadership positions both in academia (Head of Department, Deputy Dean) and in entrepreneurship (Director, CEO). He currently holds the Director position in the WASH R&D Centre at the University of KwaZulu-Natal.

External links

LinkedIn

Publications

  • Rawatlal, Randhir & Dhunpath, Rubby. (2023). Advising at Scale: Automated Guidance of the Role Players Influencing Student Success. AIR Professional File. 10.34315/apf1632023.
  • Technology-mediated advising for student success: Exploring self-mediated academic support for undergraduate students using AutoScholar Advisor System, Samukelisiwe Khumalo, Randhir Rawatlal, Victor Nnadozie, Ashnie Mahadew, Cedric Bheki Mpungose and Phakamile Mazibuko1, Published Online:1 Jun 2023 https://hdl.handle.net/10520/ejc-persed_v41_n2_a16
  • Encouraging Student Academic Performance Using Automated Academic Advising System: A Reflection, Authors Victor Nnadozie1, Samukelisiwe Khumalo1, *, Ashnie Mahadew1, Phakamile Mazibuko1, Randhir Rawatlal1, Cedric Mpungose1, Nomkhosi Nzimande1, 10.2991/978-2-38476-134-0_21
  • Biyela P, R Rawatlal (June 2019). Development of an optimal state transition graph for trajectory optimisation of dynamic systems by application of Dijkstra’s algorithm, Computers and Chemical Engineering, v125, pp 569-586
  • Khama M, G Jones, R Rawatlal (December 2018) Development of Fast Solving Monolith Reactor Simulators: Computational Fluid Dynamics Studies of Methane Oxidation, Chemical Product and Process Modeling, in press, DOI: 10.1515/cppm-2018-0045
  • Rawatlal, R. (Jan 2018), Application of Graph Theory to Analysing Student Success through Development of Progression Maps, Engineering Education for a Smart Society, pp.295-307, World Engineering Education Forum & Global Engineering Dean’s Council 2016
  • Olubode Adetunji, Randhir Rawatlal. Estimation of bubble column hydrodynamics II: Hybridisation of Electrical Resistance Tomography and Gas disengagement in a Population Balance Framework, Flow Measurement and Instrumentation Journal, 59 (2018), pp 181-193
  • Adetunji, O., Rawatlal R. (2017) “Estimation of bubble column hydrodynamics: Image-based measurement method”, Flow Measurement and Instrumentation, 53(A), 4-17
  • Rawatlal, R., Dhunpath, R. (2015) Transcending the econometric discourse in curriculum design: Multi-trajectory progression planning Alternation 16, 94-114
  • Randhir Rawatlal, Rubby Dhunpath.  ‘Stretching’ the Undergraduate Curriculum: A Compensatory Response to Curriculum Modelling? Alternation Special Edition, 12, 2014, pp 171-197
  • John T. McCoy, Joao B. P. Soares, Randhir Rawatlal. Analysis of Slurry-Phase Co-Polymerization of Ethylene and 1-Butene by Ziegler–Natta Catalysts Part 1: Experimental Activity Profiles, Macromolecular Reaction Engineering, 8, 2013
  • Coetzee, R.L.J. Coetzer, R. Rawatlal, Development of a computationally efficient bubble column simulation approach by way of statistical bubble micro-flow modelling, Advances in Fluid Mechanics, 9, 2012, pp 275-286
  • W, R. L. J. Coetzer‡, and R. Rawatlal. Semianalytical Bubble-Flow Models for the Development of a Novel Bubble-Column Simulator. Ind. Eng. Chem. Res., 51 (21), pp 7398–7409, July 2012
  • Kotsiopoulos A, GS Hansford and R Rawatlal. A dynamic analysis of chalcopyrite bioleaching in continuous flow reactor systems, AIChE J, 58, pp 2428–2440, August 2012
  • Coetzee, W., R. J. L. Coetzer, R. Rawatlal, Response surface strategies in constructing statistical bubble flow models for the development of a novel bubble column simulation approach, Chem. Eng., 36, pages 22-34, January 2012
  • McCoy, J., R. Rawatlal. A more efficient simulator of particle size distribution in slurry phase polyolefin systems, Chem. Eng., 36, pp 68-78, January 2012
  • McCoy, J. & R. Rawatlal. Another look at site heterogeneity in Ziegler-Natta catalysts for polyolefin production, Sym., 313-314, pages 19–32, March 2012
  • Athanasios Kotsiopoulos, Geoffrey S. Hansford, Randhir Rawatlal. An Investigation into the Dynamics of Chalcopyrite Bioleaching, AIChE Journal, 56(10), 2010, pp 2650 – 2661
  • Kotsiopoulos A, G.S. Hansford, R. Rawatlal, “An Investigation into the Dynamic Behaviour of Chalcopyrite Bioleaching”, AIChE J, 56, October 2010
  • Rawatlal R. Application of input trajectory optimisation of Ziegler-Natta catalysed gas-phase olefin polymerisation reactor systems, Macromol. Sym., 285, pp1-7, November 2009
  • Rawatlal, A Simpler Approach to Population Balance Modeling in Predicting the Performance of Ziegler-Natta Catalyzed Gas-Phase Olefin Polymerization Reactor Systems”, Macromol. React. Eng, 3, 108-117, March 2009
  • Kotsiopoulous A., G. S. Hansford and R. Rawatlal, “An approach of segregation in modeling continuous flow tank bioleach systems”, AIChE J, 54 (6), pp 1592-1599, June 2008
  • Rawatlal R. and I. Tincul. Development of an Unsteady-State Model for Control of Polymer Grade Transitions in Ziegler-Natta Catalyzed Reactor Systems, Macromol. Sym., 260, pp 80-89, January 2008
  • Bircumshaw L., K. Changunda, G. Hansford and R. Rawatlal. Applications of population balance modelling in continuous tank bioleaching, SAIMM, 106(4), pp 227, September 2006
  • Tincul I., S. Lufuno, R. Rawatlal. Polymerization with Fischer-Tropsch olefins – a new challenge in polymer science, Macromol. Sym., 213, pp 357-366 (2004)
  • Rawatlal R., M. Starzak. Unsteady State Residence Time Distribution in Perfectly Mixed Vessels, AIChE J., 48, pp 471 (2003)

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