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Joshua Knowles is a research scientist at Schlumberger Cambridge Research Ltd, with a notable background in Natural Computation. He has served as a Reader at the School of Computer Science at the University of Manchester and is now an Honorary Fellow at the University of Birmingham. His research spans artificial intelligence, evolutionary computation, and optimization. Knowles has been recognized for his work with over 24,000 citations and an h-index of 64, placing him among the top 125 computer scientists in the UK. His expertise includes multiobjective evolutionary algorithms, performance assessment, and dynamic constraints optimization, contributing significantly to the field through various projects and collaborations. Additionally, he has held positions as a BBSRC David Phillips Fellow and a Marie Sklodowska-Curie postdoctoral Fellow. Joshua is also engaged in social responsibility initiatives, including support for the Royal Voluntary Service and the Cambridge Buddhist Centre. His academic qualifications include a PhD in Computer Science, an MSc in Cybernetics, and a BSc in Physics and Mathematics.
Schlumberger Cambridge Research Ltd • Cambridgeshire, UK
Leading research initiatives in Natural Computation.
Invenia Labs • Cambridgeshire, UK
Conducted advanced research in machine learning and optimization.
University of Birmingham • Birmingham, UK
Collaborating on interdisciplinary computational research.
Includes MSc in Advanced Electrical Power Systems and MSc in Communications and Signal Processing.