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Prof Tobi Louw

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Professor

Process Modelling & Machine Learning

Phone +27 21 808 4051
Office Office: C305

Short Bio

Watch Meet the Department of Chemical Engineering’s Prof Tobi Louw on YouTube.

Education

  • PhD in Chemical and Biomolecular Engineering – University of Nebraska-Lincoln (2013, cum laude)
  • B.Eng in Chemical Engineering – University of Pretoria (2007, cum laude)

Appointments

  • Professor: Stellenbosch University, Department of Chemical Engineering (July 2024 – Present)
  • Associate Professor: Stellenbosch University, Department of Chemical Engineering (Jan 2021 – June 2024)
  • Undergraduate Programme Coordinator: Stellenbosch University, Department of Chemical Engineering (Jan 2019 – June 2025)
  • Senior Lecturer: Stellenbosch University, Department of Chemical Engineering (Jan 2016 – Dec 2020)
  • Lecturer: Stellenbosch University, Department of Chemical Engineering (May 2015 – Dec 2015)
  • Postdoctoral Fellow: University of Cape Town, Department of Chemical Engineering (Aug 2013 – April 2015)

Scholarly Activities & Awards

  • Developed and coordinates hybrid post-graduate programme MEng (Chemical) Data Analytics for Process Engineers.
  • President (2025-2026): South African Council for Automatic Control (Vice-president 2023-2024).
  • Member of National Organising Committee for IFAC Control Conference Africa 2024.
  • Representative on IFAC Technical Committee for Chemical Process Control.
  • Registered Professional Engineer (ECSA reg. no. 202101658) and regular panel reviewer.
  • National Research Foundation C2-rated researcher.
  • Associate editor at large for 2025 IEEE Conference on Decision and Control.
  • Peer reviewer for multiple academic journals (ORCID) and international conferences.
  • Award: Engineering Faculty’s Lecturer of the Year (2025).
  • Award: Engineering Faculty’s Distinguished Teacher of the year (2020).
  • Award: Engineering Faculty’s Upcoming Researcher of the year (2019).

Research Interests

Leader of Machine Learning research group focusing on process monitoring, modelling, and control. Nationally recognised for research at the interface of machine learning and chemical engineering, with extensive industry collaborations across petrochemicals, minerals, and wastewater sectors.

Selected Publications

A list of published works can be found on his Google Scholar profile.

Teaching

  • Chemical Engineering 344 (Modelling and Optimization)
  • Chemical Engineering 426 (Process Control)
  • Process Control 872 (Plantwide Dynamics and Control)
  • Data Analysis 872 (Dynamic Process Data Analytics)