Nishith Chennakeshava
CTO @ loadmaster.ai and a PhD candidate
loadmaster.ai
About Me
I'm Nishith Chennakeshava, CTO at loadmaster.ai, where I build reinforcement learning systems that optimise container terminal operations across Europe. I'm also finishing a PhD at TU Eindhoven on self-driving ultrasound for cardiac imaging. Before tech, I served in the British Army as a reconnaissance soldier and did research at Princeton and the Max Planck Institute. I like hard problems, whether that's combinatorial optimisation at industrial scale or climbing mountains.
Research Interests
Deep reinforcement learning for maritime logistics and container stowage planning, ultrasound signal processing, medical imaging, deep learning for healthcare applications, shear wave elastography, intravascular ultrasound, and biomedical signal processing. Combining model-based approaches with data-driven techniques to advance both medical diagnostics and industrial optimisation.
Impact
9 research publications with 578+ citations spanning medical imaging and maritime logistics. My research has led to practical applications through loadmaster.ai, deployed at major European container terminals.