Dr Jules Simo
Dr Jules Simo is a Senior Lecturer. He lectures postgraduate and undergraduate modules in the field of Mechanical and Aerospace Engineering. He is a Fellow of the Higher Education Academy (FHEA), in recognition of his contributions to teaching. He has also been elected as a Fellow of the International Association of Advanced Materials (FIAAM) in recognition of his outstanding contributions to the advancements of material science, engineering and technology.
He supervises postgraduate students on a broad range of Engineering and Computing activity-related issues. Dr Simo is open to PhD applicants with strong backgrounds in Engineering, Computer Science, Applied Mathematics or Physical Science.
Dr Jules Simo's research interests include orbital mechanics, space mission analysis and design, solar sail mission applications, robotics and autonomous systems, dynamical systems theory, Automatic Control. Recent work focused on the guidance and control of space systems as well the application of Multidisciplinary Optimisation and Artificial Intelligence (AI)/Machine Learning (ML) techniques to systems engineering.
In 2007, he was awarded a Marie Curie Fellowship under the European Commission (EC)'s Sixth Framework Programme (FP6). Prior to gaining a research fellow post in the Department of Mechanical and Aerospace Engineering at the University of Strathclyde (UK), he previously worked at the University of Paderborn in Germany, where he still holds a visiting academic position. He has published across a range of Engineering and Computing activity domains. He has undertaken funded research activity across Europe, UK and internationally.
Dr Simo acts regularly as reviewer for scientific journals (e.g., Journal of Guidance, Control, and Dynamics, IEEE Transactions on Aerospace and Electronic Systems, Journal of Spacecraft and Rockets, Advances in Space Research). He also served as Associate Editor, Guest Editor of Special Issues for international academic journals.
He is currently acting as Guest Editor of the Special Issue on "Application of Multidisciplinary Optimisation and Artificial Intelligence Techniques to Aerospace Engineering." The goal of this special issue is to illustrate applications of Multidisciplinary Optimisation (MDO), Machine Learning (ML) and Artificial Intelligence (AI) methods to problems in Aerospace Engineering. Novel ML/AI algorithms and/or application of existing approaches to problems involving space exploration, UAV operations, space robotics, as well as other fields of aerospace engineering will be examined.
With the advancement in AI, robotics and unmanned aerial vehicle (UAV) technology, ML has emerged as a viable technology for solving constrained multi-objective optimisation problems (CMOPs). Aided by advances in hardware and algorithms, modern ML is poised to enable this optimisation, allowing a much broader and integrated perspective.
- PhD Engineering, University of Strathclyde, Glasgow, United Kingdom
- IAAM Scientist Medal of year, 2019
- Astrodynamics
- Space mission analysis & design
- Dynamics & control
- Systems Engineering
- Automatic control
- Artificial Intelligence (AI) and Machine Learning (ML)
- Optimisation
- Information processing systems
- Systems-on-chip/Networks-on-chip
- Swarm engineering
- Modelling & simulation
- Guidance, navigation & Control of autonomous vehicles
- Fellow Member of IAAM (FIAAM)
- Fellow of Higher Education Academy (FHEA)
- Member of the Editorial Board: International Journal of Astrodynamics
- Member of the Editorial Board: Space Robotics in Frontiers in Robotics and AI (Artificial Intelligence)
- Member of American Astronautical Society (AAS)
- Member of American Institute of Aeronautics and Astronautics (AIAA)
- Member of Autonomous Agents and Multi-Agent Systems (AAMAS)
- Member of Institute of Electrical and Electronics Engineers (IEEE)
- Member of IEEE Computational Intelligence Society (IEEE CIS)
- External PhD examiner
- Reviewer for scientific journals (e.g., Journal of Guidance, Control, and Dynamics, IEEE, Transactions on Aerospace and Electronic Systems, Journal of Spacecraft and Rockets, Advances in Space Research, Progress in Aerospace Sciences, Engineering Applications of Artificial Intelligence, International Journal of Control, Automation and Systems, Celestial, Mechanics and Dynamical Astronomy)
Use the links below to view their profiles:
- InETI - Institute for Engineering, Technology and Innovation
- Computer Vision and Machine Learning (CVML) Research Group
- Applied Digital Signal and Image Processing Research Centre
- Advanced Digital Manufacturing Technology Research Centre
Telephone:+44 (0)1772 893545
Email: Email:Dr Jules Simo
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