The Engineering and Mathematics subject group has a strong research expertise in energy, materials & manufacturing, mechanical & design, mathematics & modelling, automation & robotics, and operations & production management. Our students focus on engineering practices, computing skills and principles of design relating to a wide range of mechanical and energy systems. They learn to integrate their knowledge of mathematics, science, information technology, design and management and apply it to solve complex engineering problems. Our Energy and Environmental Engineering programme also helps students to gain an understanding of the operation and specification of renewable energy systems and consider the use and impact of appropriate materials and methods of manufacture and covers building services design for zero emissions. These programmes will also help the students to develop their skills in innovative thinking.
The subject group also has strong industry links to ensure our programmes are highly relevant and up to date, providing professional insight and crucial knowledge for success. Our specialist labs include robotics and automated manufacturing which contains systems such as flexible manufacturing systems and autonomous robotics, advanced materials lab that contains solution blow spinning facility, scanning electron microscopy, optical microscopy, mechanical testing facilities, a manufacturing lab that has a wide range of conventional machine tools as well as CNC machining centres equipped with Kistler cutting force dynamometer setup.
Funded
Novel metamaterials for mechanical waves attenuation (Funded)
Supervisor – Dr Vladimir Bratov
Development of Shape-stabilised PCMs from Agricultural Waste for Clean Energy Applications (Funded)
Supervisor – Dr Carolina Costa Pereira
Supervisor – Dr Carolina Costa Pereira
Projects in mathematical systems and control theory (Funded)
Supervisor – Dr Chris Guiver
A Circular Approach to Manufacturing Sustainable Powertrains for Wind Turbines (Funded)
Supervisor – Dr Pablo Jaen-Sola
Advanced Computational Methodologies for Smart Multifunctional Composites (Funded)
Supervisor – Dr Chennakesava Kadapa
Human-centred design for autonomous and intelligent complex manufacturing systems (Funded)
Supervisor – Dr Adelaide Marzano
Robot Learning for Robust Control (Funded)
Supervisor – Dr Simon Smith
Supervisor – Dr Firdaus Muhammad Sukki
Supervisor – Dr Stathis Tingas
Supervisor – Dr Stathis Tingas
Supervisor – Dr Stathis Tingas
Development of VR-based Real-time Feedback System for Net-Zero Manufacturing Operations (Funded)
Supervisor – Dr Gokula Vasantha
Advanced Control Systems for Energy Storage Technologies (Funded)
Supervisor – Dr Yuyang Zhou
Stochastic randomized control on bicycle balance (Funded)
Supervisor – Dr Yuyang Zhou
UAV Obstacle Avoidance Using Hierarchical Reinforcement Learning and Stochastic Control (Funded)
Supervisor – Dr Yuyang Zhou
Self funded
Modelling of microbial induced hydrogen loss for underground hydrogen storage (Self funded)
Supervisor – Dr Zuansi Cai
3D forming of cellulosic biopolymer materials using electrohydrodynamic atomisation (Self funded)
Supervisor – Dr Dongyang Sun
Developing solution for robot in an uncertain environment (Self funded)
Supervisor – Dr Keng Goh
Arithmetic and Analysis (Self funded)
Supervisor – Dr Kevin Hughes
Novel Design for Sodium Battery – Modelling and Experimental Validation (Self funded)
Supervisor – Dr Fadi Kahwash
Development of Biodegradable Fiber-Based Bags for Sustainable Plant Nurture (Self funded)
Supervisor – Dr Reza Salehiyan
Building integrated Photvoltaic for existing buildings (Self funded)
Supervisor – Dr Nazmi Sellami
PV soiling – Design of sustainable cleaning system (Self funded)
Supervisor – Dr Nazmi Sellami
Solar Atmospheric Water Generation from air (Self funded)
Supervisor – Dr Nazmi Sellami
Manufacture of Solid Oxide Fuel Cells Using Electroless Co Deposition (Self funded)
Supervisor – Dr Neil Shearer
Recycling Polymeric based Composites for Construction Applications (Self funded)
Supervisor – Prof. Islam Shyha