“Process Monitoring for Actionable Advisories in Mineral Processing : Theory and Practice ” - Prof. Lidia AURET
Product Manager - Process Monitoring - Stone Three - South Africa
“From Industrial Automated Systems to Industry 4.0 Systems: Impacts on Dependability and Safety” - Prof. Benoit IUNG
Universite de Lorraine - CNRS - CRAN - France
“Closed-Loop Approaches for Mineral Research Extraction” - Prof. Dr.-Ing. Jörg Benndorf
Faculty for Geoscience, Geotechnics and Mining - Reiche Zeche - Germany
Prof. Dr.-Ing. Jörg Benndorf is a mining professional with 10 years’ industry and 10 years’ academic experience. In industry, he worked as project leader and project manager for large investment projects, mine planning engineer, operational engineer and consultant in Germany, Australia, USA, and Jamaica. His interests include process optimization along the whole mining value chain from exploration to processing. From 2012 to 2016 he was Assistant Professor of Resource Engineering at the Delft University of Technology in the Netherlands. His research focuses on methods of geomonitoring and real-time data integration, geostatistical modeling and geological risk assessment. Since 2016 he has held a full professorship in Geomonitoring and Mine Surveying at the University of Mining and Technology “Bergakademie” Freiberg in Germany. Dr. Benndorf graduated from the same university, and he holds a PhD in Mining Geostatistics from TU Clausthal in Germany and an MPhil in Mining Engineering from the University of Queensland in Australia.
Prof. Lidia Auret is the product manager: process monitoring and diagnostics at Stone Three (a digital productivity and workplace safety solutions provider) and an extraordinary associate professor at the Department of Process Engineering at Stellenbosch University. Lidia works with a team of process and industrial engineers with data science expertise at Stone Three Digital which delivers remote monitoring and diagnosis services to the mining industry, as well as industrial process solutions research, design and pilot projects. Lidia's research interest is data analytics and machine learning methods applied to the challenge of process monitoring in industrial processes, specifically in mineral processing systems. Through collaborating with industrial funders (e.g. Anglo American Platinum, Glencore) and industry-state partnerships (e.g. SAMMRI – South African Mines to Metals Research Initiative), her research has focussed on the application of data analytics to industrial processes – a vital component of Industry 4.0 technologies. Lidia is the author of 40 peer-reviewed publications, including papers in leading international journals such as Journal of Process Control and Chemometrics and Intelligent Laboratory Systems, as well as peer-reviewed international conference contributions, including for IEEE (Institute of Electrical and Electronics Engineers) and IFAC (International Federation of Automatic Control) conferences. Lidia has successfully mentored one postdoctoral fellow, supervised 2 PhD and 21 master's students, and currently supervises 2 PhD and 2 master's students. Lidia serves on the executive committee of the South African Council for Automation and Control as well as on IFAC TC 6.2 (where she is co-chair: publications). Lidia was the co-chair of the national organizing committee for the 18th IFAC Symposium on Control, Optimization and Automation in Mining, Mineral and Metal Processing.
Prof. Benoit Iung is full Professor of Prognostics and Health Management (PHM) at Lorraine University (France). He conducts research at the Nancy Research Centre for Automatic Control (CRAN, CNRS UMR 7039) where he is co-managing today a research group on Sustainable Industrial System Engineering (about 60 people). His research and teaching areas are related to advance maintenance engineering, PHM, predictive maintenance technologies, sustainability, cyber-physical production system (CPPS) and Industry of the Future. In relation to these topic he took scientific responsibility for the participation of CRAN in a lot of national, European (i.e. REMAFEX, DYNAMITE) and international projects, for example, with China (i.e. EIAM-IPE, CENNET), Chile (i.e. iMaPla) and Brazil (i.e. COFECUB frame). He is now the coordinator of the European project AI-PROFICIENT (call ICT-38; 2020-2023). He has numerous collaborations with industry in the frame of Convention for Research Program (mainly in France with EDF, CEA, RENAULT, ARCELORMITTAL) and served until 2018, as responsible of a common Lab called PHM-FACTORY with PREDICT company (ANR LabCOM). He is now the IFAC CC5 chair (2020-2023) addressing Cyber-Physical Manufacturing Enterprises issues and was previously the chair of the IFAC TC5.1. (2017-2020). He was until 2014 the chair of the IFAC WG A-MEST on advanced maintenance, and until 2020, the chair of the ESRA TC on Manufacturing. He is a French CIRP fellow since 2017, a PHM society fellow from 2018, a founding Fellow to the ISEAM and to the European IAM Academic and Research Network, a nominated member of the IFAC TC 5.3. He had also a guest position in the NSF industry/university cooperative research centre for intelligent maintenance system (Univ. of Cincinnati; until end of 2017) and is currently Visiting Professor at Tongji University (Shanghai, China). He serves as project manager on “Industry of the Future” for the University of Lorraine since 2016 which allows him to be involved in EFFRA and A.SPIRE European associations. Benoît Iung has (co)-authored over 220 scientific papers and several books including the first e-maintenance book in Springer. He developed several keynote speeches on PHM in international conferences and attended as reviewer, faculty opponent or examiner for a lot of PhD. And “docent” defenses in France and in Europe (UK, Belgium, Netherlands, Norway, Spain, Sweden, and Italy). He has supervised until now 21 Ph. D. Students. He served as IPC member of various IEEE, CIRP and IFAC conferences and developed expertise/reviewing for European Commission in the frame of H2020 from 2015. He is an Editor of the IFAC Journal of Systems and Control. Benoît IUNG received his B.S., M.S. and Ph.D. in Automatic Control, Manufacturing Engineering and Automation Engineering, respectively, from Lorraine University, and an accreditation to be research supervisor (2002) from this same University.
(*) Depending on the health situation related to COVID-19, MMM 2021 could be held on an hybrid form including remote and physical presentation opportunities.