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.
et al., 2022, A convex optimal control framework for autonomous vehicle intersection crossing, Ieee Transactions on Intelligent Transportation Systems, ISSN:1524-9050, Pages:1-15
et al., 2022, Mu-synthesis PID control of full-car with parallel active link suspension under variable payload, Ieee Transactions on Vehicular Technology, ISSN:0018-9545, Pages:1-14
Yu M, Evangelou S, Dini D, 2022, Parallel active link suspension: full car application with frequency-dependent multi-objective control strategies, Ieee Transactions on Control Systems Technology, Vol:30, ISSN:1063-6536, Pages:2046-2061
et al., 2022, Computationally efficient robust model predictive control for uncertain system using causal state-feedback parameterization, Ieee Transactions on Automatic Control, ISSN:0018-9286
Chen B, Pan X, Evangelou SA, 2022, Optimal energy management of series hybrid electric vehicles with engine start-stop system, Ieee Transactions on Control Systems Technology, ISSN:1063-6536, Pages:1-16