Nishith Chennakeshava
CTO @ loadmaster.ai and a PhD candidate
loadmaster.ai
About Me
Nishith Chennakeshava is CTO at loadmaster.ai and a PhD researcher at Eindhoven University of Technology, working at the intersection of deep learning, medical imaging, and maritime logistics optimisation. His research spans two key domains: advancing ultrasound signal processing through model-based deep learning, and developing reinforcement learning algorithms for container stowage planning. With collaborations ranging between academic institutions and industry partners, his work bridges cutting-edge AI research with real-world applications in healthcare and logistics.
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. His research has led to practical applications through loadmaster.ai, deployed at major European container terminals.