Imperial College London

DrSimosEvangelou

Faculty of EngineeringDepartment of Electrical and Electronic Engineering

Reader in Systems Engineering
 
 
 
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Contact

 

+44 (0)20 7594 6285s.evangelou Website

 
 
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Location

 

1108BElectrical EngineeringSouth Kensington Campus

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Summary

 

Summary

Simos Evangelou has expert knowledge and experience in the application of control engineering to solve real-world problems associated with complex dynamical systems. He did the Electrical and Information Sciences Tripos at the University of Cambridge and obtained a BA/MEng degree, followed by a PhD in Control Engineering at Imperial College London. His experience includes engagement with a number of large automotive and aerospace companies to enable product development and realisation of competitive advantage for these industries. Dr Evangelou has already filed a number of patents and overall he has an enterprising mindset towards the exploitation of acquired research knowledge to benefit his employer, the society and the economy. His core skills can be summarised as: outstanding analytical capability, profound creativity, great competence in managing people, proficiency in working under pressure and within strict deadlines, and notable multi-tasking capability.

Publications

Journals

Evangelou S, Rehman-Shaikh MA, 2020, Comprehensive energy efficiency analysis of series hybrid electric vehicles with dual-phase-shift-controlled DC-DC converter, Journal of the Franklin Institute, Vol:357, ISSN:0016-0032, Pages:8761-8799

Arif J, Rehman-Shaikh MA, Evangelou S, 2020, Comprehensive technology qualification process for subsea electronics assemblies, Ieee Transactions on Industrial Electronics, ISSN:0278-0046

Chen B, Li X, Evangelou S, et al., 2020, Joint propulsion and cooling energy management of hybrid electric vehicles by optimal control, Ieee Transactions on Vehicular Technology, Vol:69, ISSN:0018-9545, Pages:4894-4906

Conference

Georgiou A, Tahir F, Evangelou S, et al., Robust moving horizon state estimation for uncertain linear systems using linear matrix inequalities, 59th IEEE Conference on Decision and Control - CDC 2020, IEEE

Frezza G, Evangelou SA, 2020, Ecological Adaptive Cruise Controller for a Parallel Hybrid Electric Vehicle, Pages:491-498

More Publications