Senthilkumar Subramanian

WORK HISTORY

EDUCATION

ABOUT SENTHILKUMAR SUBRAMANIAN

Practical-orientated and results-driven aerospace professional with 3+ years of hands-on experience in assembling, integrating and testing complex and efficient multidisciplinary engineering systems for space hardware, specialising in mechanical and thermal-fluid system design, experimental rig development, and prototype validation. Recognized for delivering validated, manufacturable solutions in collaboration with high-profile partners like the European Space Agency (ESA) and Fluid Gravity Engineering Ltd. Delivered high-profile AIT projects in collaboration with the European Space Agency (ESA), ONERA & DSTL UK.Instrumental in establishing ESA’s state-of-the-art large-volume, near-vacuum engineering (plume-regolith interaction) facility at the University of Glasgow. Proven track record of understanding engineering processes, designing and operating lab-scale systems and high-efficiency flow rigs, and integrating sensors and control systems. Proven success in developing scalable, energy-efficient solutions and contributing to TRL advancements of novel technologies.Commitment to health and safety in challenging environments. KEY SKILLS AND COMPETENCIESSystem & Component Design: Thermal-fluid systems, electromechanical systems, pneumatics, feedthroughs, custom flow rigs, vacuum & high-temperature systems, CAD (SolidWorks)Experimental Design: Design and execution of fluid flow systems, pressure/vacuum chambers, heat transfer setups; advanced diagnostics including Schlieren, PIV (planar/tomo), PSP, IR thermographyPrototyping & Manufacturing: Assembly, instrumentation, performance testing, design-for-manufacture, 3D printing, process optimization, troubleshooting, validation in industrial/lab environmentsInstrumentation & Data Acquisition: NI DAQ, PID controls, LabVIEW, pressure & thermal sensors, pumps, heaters, real-time high-speed data acquisition (Kulites) Data Handling & Analysis Tools: MATLAB, Python (plotting), LabVIEW, Excel, Chameleon, R, RStudio, ParaView, TecplotSimulation & Modelling: STAR CCM+, OpenFOAM, CFD–experiment integration, DSMC familiarityStatistical Analysis: Machine learning for engineering systems, regression, classification, genetic algorithms, neural networksProject Management & Collaboration: Design of Experiments (DOE) planning, budgeting, safety compliance, ESA/DSTL coordination, reporting, grant preparation, stakeholder engagement, cross-disciplinary teamworkCommunication & Dissemination: Research publications, technical documentation, conference presentations