28 – 30 August 2019


South Africa

 1st Call for Papers

Contact: info@ifacmmm2019.org

Submission opens: 1 October 2018

Submission deadline: 14 March 2019

Acceptance notification: 26 April 2019

Registration opens: 29 April 2019

Final papers due: 24 May 2019


Mining, Mineral and Metal Processing 2019

The 18th IFAC Symposium on Control, Optimization and Automation in Mining, Mineral and Metal Processing, MMM 2019 for short, is a conference hosted by the South African Council for Automation and Control (SACAC). MMM 2019 promotes the exchange of ideas and developments in control engineering in the MMM field.

 The symposium will provide a forum for professionals, researchers, and experts in control, mining, mineral and metal processing to review state-of-the-art control, optimization, and automation technologies in the field. Both academic and industrial control engineering practitioners have the opportunity to present their work and exchange research ideas with colleagues from across the globe.

 The event is co-sponsored by the International Federation of Automatic Control (IFAC), of which SACAC is the National Member Organisation for South Africa.


Processing areas covered will include:

  • Underground mining, including the use of autonomous mining equipment
  • Surface operations, mineral processing and beneficiation
  • Casting, hot/cold rolling, forming, forging, heat treatment, annealing
  • Metal recycling processes, waste treatment

Technologies discussed will include:

  • Process modelling
  • Machine learning and computer vision systems
  • Fault detection
  • Control algorithms
  • The Industrial Internet of Things, Industry 4.0, big data and analytics

Keynote Speakers

Dr. S. Joe Qin

Dr. S. Joe Qin obtained his B.S. and M.S. degrees in Automatic Control from Tsinghua University in Beijing, China, in 1984 and 1987, respectively, and his Ph.D. degree in Chemical Engineering from University of Maryland at College Park in 1992. He is currently Director of the Center for Machine and Process Intelligence and Fluor Professor at the Viterbi School of Engineering of the University of Southern California.

Dr. Qin is a Fellow of AIChE, Fellow of IEEE, and Fellow of the International Federation of Automatic Control (IFAC). He is a recipient of the National Science Foundation CAREER Award, the 2011 Northrop Grumman Best Teaching award at Viterbi School of Engineering, the DuPont Young Professor Award, Halliburton/Brown & Root Young Faculty Excellence Award, NSF-China Outstanding Young Investigator Award, and recipient of the IFAC Best Paper Prize for a model predictive control survey paper published in Control Engineering Practice. He is currently a Senior Editor for Journal of Process Control and a Member of the Editorial Board for Journal of Chemometrics.

He has published over 140 papers in SCI journals or book chapters. He delivered over 40 invited plenary or keynote speeches and over 100 invited technical seminars worldwide. He has over 11,500 Web of Science citations with an associated h-index of 51 and over 31,000 Google Scholar citations. Dr. Qin’s research interests include process data analytics, machine learning, process monitoring and fault diagnosis, model predictive control, system identification, building energy optimization, multi-step batch process control, and control performance monitoring.



Professor Chris Aldrich

Professor Chris Aldrich is Deputy Head of the Western Australian School of Mines (Minerals, Energy and Chemical Engineering), holds a Chair in Process Systems Engineering in the WA School of Mines and is also an Extraordinary Professor at Stellenbosch University. He was previously the Founding Director of the Anglo American Platinum Centre for Process Monitoring at Stellenbosch University.

He holds a PhD and a higher doctoral degree from Stellenbosch University, is a Fellow of the South African Academy of Engineering and serves on the editorial boards of Minerals Engineering, Water SA and Control Engineering Practice. He was among other a recipient of the President’s Award of the Foundation of Research and Development (FRD) in South Africa, as well as of the British Association (S2A3) Silver Medal (2000) for interna­tional recognition of his early career research in the development and application of artificial intelligence in the resource industries. His research interests include artificial intelligence, nonlinear systems analysis, mineral processing and extractive metallurgy.


Stellenbosch in South Africa is a university town situated in the winelands region of the Western Cape, 40 km from Cape Town. The region boasts internationally acclaimed wine farms as well as a myriad of other tourist attractions. Technopark, just outside Stellenbosch, hosts a large number of technology companies, from innovative start-ups to established corporates.

The conference will take place at STIAS (Stellenbosch Institute for Advanced Studies) conference centre, in the heart of historical Stellenbosch.