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

Yu S, Pan X, Chen B, et al., 2023, A real-time robust ecological-adaptive cruise control strategy for battery electric vehicles, Ieee Transactions on Transportation Electrification, ISSN:2332-7782

Yu M, Evangelou S, Dini D, 2023, Advances in active suspension systems for road vehicles, Engineering, ISSN:2095-8099

Pan X, Chen B, Dai L, et al., 2023, A hierarchical robust control strategy for decentralized signal-free intersection management, Ieee Transactions on Control Systems Technology, Vol:31, ISSN:1063-6536, Pages:2011-2026

Georgiou A, Furqan T, Jaimoukha I, et al., 2023, Computationally efficient robust model predictive control for uncertain system using causal state-feedback parameterization, Ieee Transactions on Automatic Control, Vol:68, ISSN:0018-9286, Pages:3822-3829

Conference

Tang K, Wang W, Pan X, et al., 2023, Economic Potential for Hybrid Electric Vehicles in Urban Signal-free Intersections with Decentralized MPC, Pages:10677-10683

More Publications