Conference Programme

09:00hrs | Introduction by Matthew Moggridge, programme director

09:10hrs | Opening Keynote TBA

09:40hrs | Boosting production with data science solutions at Severstal, by Boris Voskresenskii, chief digital officer, Severstal; and head of Severstal Digital

10:10hrs | Breaking the black-box nature of predictive models by Luc Van Nerom, deputy managing director, PSI Metals, managing director, PSI Metals Belgium

10:40hrs | Industrial cybersecurity – Managing the risks of ransomware by Carlos Russell, business conduct compliance and cybersecurity director, Ternium

11:10hrs | Coffee Break

11:40hrs | AI-human ensemble operation in steel manufacturing processes by Dr. Kisoo Kim, head, Process and Engineering Research Lab, POSCO

12:10hrs | How artificial intelligence can simplify steelmaking complexity by Luca Cestari, manager of process control systems, Danieli Automation and DIGI&MET

12:40hrs | Scrap yards management. How digitalisation can help the new steelmaking transformation challenges by Dr. Asier Vicente, head of primary process (EAF & Scrap) department, ArcelorMittal Basque Country Research Centre, co-ordinator of ArcelorMittal Global R&D EAF programme

13:10hrs | Lunch Break

14:30hrs | Dynamic ferro alloy recovery prediction and addition using machine learning and optimization, by Omar Miranda, senior manager, technology, Digital Centre of Excellence, JSW Steel; and Keivaly Pujara, data scientist, Digital Centre of Excellence, JSW Steel

15:00hrs | AI in steelmaking – opportunities ahead by Arindam Sarkar, consulting partner, energy and resources business unit, Tata Consultancy Services

15:30hrs | Turn data into value – how to improve operational efficiency in the metals industry by utilising the full potential of digitalisation, by Bernhard Steenken, CEO, SMS digital

16:00hrs | Tea Break

16:30hrs | A proactive approach: Using AI to reach ESG initiatives in steel by Sandeep Pandya, chief executive officer,

17:00hrs | Optimising the use of surplus gases at SSAB’s steel plant in Lulea, Sweden using artificial intelligence, by Tomas Lundberg, Department of Metallurgy, Swerim AB

17:30hrs | Optimizing heat chemistry in real time using explainable machine learning by Berk Birand, CEO, Fero Labs

18:00hrs | Coal blend optimization and simulation using machine learning to predict coke quality by Satish Agarwal, principal and Ravi Teja, Affine Analytics

18:30hrs | Measurement data-based deep learning for steel applications – a method to predict saw blade wear by Dr. Tobias Seitz, product manager for analysis and automation software products at iba AG.

19:00hrs | Closing remarks

19:10hrs | Conference finished

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