Dr Salman Saeidlou

Senior Lecturer in Mechanical/Manufacturing Engineering, Canterbury Christ Church University


Dr Salman Saeidlou graduated from the University of Birmingham with MEng in Mechanical Engineering prior to completing his PhD on Intelligent Manufacturing Systems at the same University. He then moved to Birmingham City University as a post-doctoral research fellow where his research was on Big Data Analysis and machine learning.

In 2020, he joined Christ Church University as a Senior Lecturer in Mechanical/Material Engineering. Salman has published wide ranging research papers in high rank scientific journals/conference proceedings. Dr Saeidlou’s research interests include intelligent manufacturing systems, distributed systems, agent-based modeling, Big Data analytics in manufacturing, data mining and machine learning.

Session Details

Intelligent Manufacturing Supply Chain Informatics

14:00 - 14:30, Brunel Room
According to the world leading software house for enterprise management Software AG, corporate data grows about 40% annually. Lack of visibility into the right data bears business costs as high as 10-25% of the company revenue while information scrap and rework can account to about 50% of the IT budget spend. Therefore, it is important to efficiently make use of the right manufacturing data, at the right time and for the right application. An intelligent manufacturing system would capture data from manufacturing processes and scheduling activities, align the information and fulfil the changing information needs of the stakeholders.

Benefits of attending this session:

  • An insight into creation of transparency by increasing stakeholder data sharing
  • Support decision making with automated algorithms
  • Support innovation for new business models, products and services 

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Exhibition:
9.00am - 4.00pm

Networking Breakfast:
7.30am - 9.00am

Gala Dinner:
Reception 5.00pm
Dinner served 6.30pm

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