User:Ace strath/sandbox

The Aerospace Centre of Excellence (ACE) at the University of Strathclyde is a research centre within the Faculty of Engineering. Established in 2015 as part of the department of Mechanical and Aerospace Engineering, ACE is devoted to research on current and future aerospace systems, future aircraft, space exploration, satellite applications and the sustainable exploitation and colonisation of space. ACE currently encapsulates three application labs: Advanced Space Concepts laboratory (ASCL), Future Air-Space Transportation Technology laboratory (FASTT) and Intelligence Computational Engineering laboratory (ICElab).

Advanced Space Concepts Laboratory (ASCL)

The ASCL undertakes research on future space systems targeting the following areas
 * Cubesat and small satellites services and technologies
 * Swarm engineering and networked systems
 * Space situational awareness and space traffic management
 * Minor bodies exploration, exploitation and manipulation
 * Autonomous systems
 * Advanced space concepts

Future Air-Space Transportation Technology Laboratory (FASTTlab)

FASTTlab develops and integrates a range of aerospace technologies required for future sustainable aerospace systems targeting the following areas:
 * Computational aerothermodynamic methods
 * Computational and theoretical aeroscience
 * Guidance, navigation and control for ascent and re-entry
 * Innovative propulsion for small launchers
 * Multifidelity and multiphysics analysis of transatmospheric flight
 * Prediction of vehicle emissions and atmospheric interaction
 * Uncertainty-based multidisciplinary design optimisation for aerospace transport
 * Trajectory optimisation and optimal control solvers

Intelligent Computational Engineering Laboratory (ICElab)

ICElab develops advanced research on artificial and computational intelligence techniques targeting the following areas:
 * Continuous and combinatorial optimisation methods
 * Design for robustness, reliability and resilience
 * Approaches for uncertainty treatment
 * Machine learning for data analytics and engineering design
 * Optimal control of complex engineering systems