This highly accomplished professional and researcher in mechanical engineering and robotics leverages deep expertise in computational mechanics, finite element analysis, and advanced robotics to drive innovation in manufacturing and business automation. With a track record across international research projects, they specialise in harnessing cutting-edge methodologies—such as additive manufacturing, CFD analysis, and AI-driven optimisation—to enhance product development, efficiency, and process automation in industries ranging from aerospace to biomedical manufacturing. Adept at both self-directed and collaborative work, they excel in explaining complex technical concepts to both technical and non-technical stakeholders, building consensus, and shepherding projects to successful completion within tight budgets and timelines.

Currently serving as a Senior Research Fellow, they lead a project funded by the Royal Academy of Engineering to develop a monitoring system for industrial compressors, using FPGA-based LabVIEW and machine learning to improve compressor design and maintenance procedures. Previously, as an Innovation Specialist in a regional digitalisation project for the rail industry, they designed condition monitoring systems and led the development of a carbon emissions app, demonstrating their cross-functional skills in design, data analysis, and digital product development. Earlier roles include significant contributions to sustainable manufacturing and robotics automation, where they spearheaded projects involving bio-printing, multi-material composites, and 3D-printed structural components.

Key Highlights:

• Developed an FPGA-based monitoring system for industrial compressors, applying CFD and machine learning for optimal design and maintenance.

• Designed and implemented condition monitoring systems and carbon emissions calculators for the rail industry as part of a digitalisation project.

• Led bio-printing and additive manufacturing projects, including the world’s first 3D-printed pressure regulator for structural applications.

• Skilled in robotics, having designed algorithms for multi-agent robot systems and laser-cutting processes in collaborative research with MIT.

• Expertise in high-level tools, including MATLAB, SolidWorks, ANSYS, ABAQUS, LabVIEW, and various 3D printing technologies, enabling advanced product design and testing.

With a Ph.D. in Mechanical Engineering and extensive certifications in aerospace and robotics engineering, this candidate’s blend of technical and research expertise makes them a valuable asset in fields seeking advanced automation, sustainable product design, and innovative engineering solutions.