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Curriculum vitae

Dr Martin Peniak

Senior Innovation Engineer at Metropolis, working on computer vision, edge systems, and spatial intelligence. My background combines cognitive robotics, GPU computing, and applied innovation.

martinpeniak.com linkedin.com/in/mpeniak

Updated

Experience

Professional experience

Senior Innovation Engineer – Metropolis

AnyVision → Oosto → Metropolis. Based in Spain.

I joined AnyVision as Senior Innovation Engineer in October 2019 and continued through Oosto and its acquisition by Metropolis. My work spans applied computer vision, edge systems, spatial calibration, synthetic vision, and technical prototyping.

LinkedIn profile

Head of Innovation – Cortexica Vision Systems

I led innovation work across machine vision, edge AI, mobile inference, and AR/VR prototypes, including Prism and OVERPaSS.

GPU Engineer – Cortexica Vision Systems

My parallel-computing work covered GPU/OpenCL/CUDA optimization, image-processing pipelines, deep learning experiments, and cloud and edge systems.

Associate Lecturer (GPU programming) – University of Plymouth

Part-time teaching alongside my research in Plymouth, UK. I prepared and taught CUDA classes, lectured and demonstrated, and helped establish GPU teaching infrastructure, including the NVIDIA CUDA Teaching Center, with Davide Marocco and the university team.

NVIDIA research internship – Santa Clara, California

I spent summer 2012 at NVIDIA after presenting GPU cognitive-robotics applications at its Santa Clara headquarters in 2011. The wider 2011-2014 activity includes CUDA Spotlight, an SC11 keynote reference, a GTC 2012 poster, and a GTC 2014 presentation.

PhD researcher, cognitive robotics – University of Plymouth

Research during my PhD, covering iTALK and POETICON++, iCub action-language learning, recurrent neural networks, Aquila, and GPU-accelerated robotics.

Mars rover research – University of Plymouth and ESA ACT

My final-year rover simulator led to Evolution in Robotic Islands. I worked with Angelo Cangelosi and Davide Marocco at Plymouth and ESA’s Advanced Concepts Team on parallel evolutionary robotics, separately from the CUDA work.

ESA study and participants
2012 NVIDIA intern badge for Martin Peniak

NVIDIA

My 2012 research internship

My intern badge from NVIDIA, alongside the interview, poster, and talks about the Plymouth iCub and CUDA work.

Education

Education

2014

PhD – GPU Computing for Cognitive Robotics

University of Plymouth. The university describes the thesis as the first investigation of GPU computing’s impact on cognitive robotics. Supervisors: Angelo Cangelosi, Tony Belpaeme, and Davide Marocco.

Plymouth thesis
2006-2007

Life in the Universe

University of Manchester distance-learning astronomy course, completed alongside full-time night work and full-time BSc study in Plymouth.

1999-2003

Stredná priemyselná škola strojnícka, Zvolen

Mechanical-engineering secondary school in Zvolen, Slovakia. Its former-student records are now held by Stredná odborná škola technická in Zvolen.

Current school and records centre
Martin Peniak with the iCub humanoid robot during robotics research

Technical areas

Selected technical areas

Alongside my research and professional work, I physically build and operate Project Tao, my personal off-grid project.

  • Cognitive robotics, action-language learning and neural networks
  • GPU/parallel computing and multi-GPU training
  • Camera intelligence, edge AI and embedded vision
  • Multi-camera spatial calibration and synchronized capture
  • IoT, device integration, Home Assistant and home automation
  • Local AI and server systems, voice and remote operations
  • Hands-on solar installation, lithium-battery storage and energy control
  • Off-grid self-sufficiency: water, irrigation and physical site construction
  • C++, Python, CUDA, OpenCL and OpenCV

Selected publications

A representative selection, not a complete bibliography. Explore my wider publication record on Google Scholar and DBLP.

  • Zhong, J., Peniak, M., Tani, J., Ogata, T., & Cangelosi, A. (2019). Sensorimotor input as a language generalisation tool: a neurorobotics model for generation and generalisation of noun-verb combinations with sensorimotor inputs. Autonomous Robots, 43(5), 1271–1290. https://doi.org/10.1007/s10514-018-9793-7
  • Broz, F., et al. (2014). The ITALK project: A developmental robotics approach to the study of individual, social, and linguistic learning. Topics in Cognitive Science, 6(3), 534–544. https://doi.org/10.1111/tops.12099
  • Peniak, M., Morse, A., & Cangelosi, A. (2013). Aquila 2.0 software architecture for cognitive robotics. In 2013 IEEE Third Joint International Conference on Development and Learning and Epigenetic Robotics (ICDL) (pp. 1–6). IEEE. https://doi.org/10.1109/DEVLRN.2013.6652565
  • Peniak, M., Bentley, B., Marocco, D., Cangelosi, A., Ampatzis, C., Izzo, D., & Biscani, F. (2010). An island-model framework for evolving neuro-controllers for planetary rover control. In The 2010 International Joint Conference on Neural Networks (IJCNN) (pp. 1–8). IEEE. https://doi.org/10.1109/IJCNN.2010.5596942

Publication profiles and paper links: martinpeniak.com/sources

Selected talk: My dream about AI, TEDxBratislava (2014).
martinpeniak.com/talks

Selected work

Research, talks, and projects