Dr Martin Peniak
Dates, roles, and technical areas kept concise. The fuller narrative lives on Story, and the documentary record lives on Sources and Talks.
Profile
Engineer and researcher whose University of Plymouth PhD record is described as the first investigation of GPU computing’s impact on cognitive robotics. The wider path spans iCub humanoid learning, CUDA and Aquila, evolutionary rover research with ESA, a 2012 NVIDIA research internship, Cortexica machine vision and edge AI, and continuing research and innovation through AnyVision, Oosto, and Metropolis.
Primary records
Experience
The same research-and-innovation role continued as AnyVision became Oosto and Oosto was acquired by Metropolis. The public record stays at a high level: applied computer vision, edge systems, spatial intelligence, synthetic vision, and technical prototyping.
Research-to-working-systems innovation across machine vision, edge AI, mobile inference, AR/VR prototypes, and applied computer vision, including the public Prism and OVERPaSS project records.
GPU/OpenCL/CUDA optimization, high-performance image-processing pipelines, deep learning experiments, cloud systems, and edge deployment work.
CUDA and parallel-programming teaching, GPU computing lab work, and research infrastructure for cognitive robotics, including the early NVIDIA CUDA Teaching Center contribution at Plymouth.
Summer research internship at NVIDIA in 2012, following the 2011 Santa Clara HQ presentation of GPU cognitive-robotics applications. The wider 2011-2014 public record includes the NVIDIA CUDA Spotlight, SC11 keynote reference, GTC 2012 poster, and GTC 2014 presentation.
PhD and postdoctoral research across the iTALK and POETICON++ projects, iCub action-language learning, recurrent neural networks, Aquila, and GPU-accelerated robotics.
The final-year rover simulator led into the formal Evolution in Robotic Islands study. Plymouth lists Martin Peniak with Angelo Cangelosi and Davide Marocco as project leads; ESA records him among the study participants.
NVIDIA
The original 2012 NVIDIA intern badge sits beside the public sources from that period: the invited Santa Clara HQ presentation, NVIDIA CUDA spotlight, GTC poster on GPU-accelerated action acquisition, GTC 2014 presentation, and SC11 keynote reference. Together they connect the Plymouth iCub research to the early GPU-computing period.
Education
Technical areas
Site map
The CV stays compact; the sources, talks, and work pages carry the deeper material.
