Professor Payam Soulatiantork
School of Electrical and Electronic Engineering
Professor of Control and Automation Education
+44 114 222 5654
Full contact details
School of Electrical and Electronic Engineering
Amy Johnson Building
Portobello Street
Sheffield
S1 3JD
- Profile
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Professor Payam Soulatiantork is an Academic in the School of Electrical and Electronic Engineering. Payam is an industrial automation and instrumentation expert with more than 6 years of industrial experience from 2007 to 2013. He has successfully developed and completed several industrial automation projects.
He worked Queen’s University Belfast as a research fellow, developing a real-time control system and numerical model for the Waste Heat Recovery (WHR) system using Siemens PLC and TIA Portal software in order to monitor the overall performance of the system on PC and HMI via WinCC.
Payam began his PhD at Polytechnic of Milan, Italy as a fully funded researcher from 2013 to 2016, developing a control hardware system to characterise and evaluate the maximum power point tracking algorithms using advanced data acquisition cards and Simulink/Matlab real-time environment.
Payam obtained an MSc in control and instrumentation at Shiraz University, Iran, which led to developing a new fuzzy control strategy to calculate the advanced PID controller parameters for renewable energy applications.
Payam has been invited by the School of Aerospace, Transport, and Manufactures at Cranfield University as a visiting researcher on 2015 and 2016. He worked closely with the Integrated Vehicle Health Management, Boeing Centre at Cranfield University for developing a real-time conditional base monitoring test rig for power conversion systems.
- Research interests
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- Industrial Automation
- Renewable energy real-time control and monitoring
- Programming and developing PLCs
- Supervisory, control and data acquisition (SCADA)
- Industry 4.0 and Cyber Physical Lab
- Publications
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Journal articles
- Optimising energy usage of a semi-continuous fluidised bed dryer using digital twin technology and energy management strategies. International Journal of Sustainable Engineering, 18(1). View this article in WRRO
- A sustainability-oriented digital twin of the diamond pilot plant. Processes, 13(1). View this article in WRRO
Conference proceedings
- DISCRETE EVENT SIMULATION WITH REINFORCEMENT LEARNING FOR ADVANCED MANUFACTURING DECISION-MAKING. 12th Simulation Workshop (SW25) Proceedings
- Improving Common Spatial Patterns in Brain-Computer Interface Using Dynamic Time Warping and EEG Normalization. 2023 IEEE International Conference on Metrology for eXtended Reality, Artificial Intelligence and Neural Engineering (MetroXRAINE) (pp 1027-1032), 25 October 2023 - 27 October 2023.
- Optimising energy usage of a semi-continuous fluidised bed dryer using digital twin technology and energy management strategies. International Journal of Sustainable Engineering, 18(1). View this article in WRRO
- Teaching activities
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- GEE101 Interdisciplinary Design
- ACS330 Group Project
- ACS6131 Industrial Automation
Payam has previously taught:
- Dynamic and Control systems (Queen’s University Belfast)
- Professional activities and memberships
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- IEEE member since 2013
- Recognized reviewer of Solar Energy Elsevier Journal
- Reviewer of IEEE Transactions on Reliability Journal