Kevin Denamganai
Postdoctoral Research Associate
City of Edinburgh, Scotland, United Kingdom
Summary
👤
Senior🎓
Top SchoolKevin Denamganai is a Postdoctoral Research Associate at the University of Edinburgh with a decade of experience at the intersection of AI, robotics and intelligent games. He completed a PhD in Intelligent Games and Game Intelligence after advanced engineering and AI studies in Japan and France, and has combined academic teaching with industry-focused research internships at Sony and Digital Creativity Labs. His current work tackles a practical and underexplored problem: enabling language models to reason reliably about physical systems despite lacking embodiment and strong numerical skills. Kevin also runs a freelance AI and robotics consultancy, reflecting a pragmatic bent for applying research to real-world problems such as exploration in reinforcement learning and style transfer for game assets. Colleagues value him for pushing boundaries beyond comfort zones and for blending rigorous formal foundations with creative, application-driven experimentation.
10 years of coding experience
6 years of employment as a software developer
Doctor of Philosophy, Computer Science, Intelligent Games and Game Intelligence (iGGi), Doctor of Philosophy, Computer Science, Intelligent Games and Game Intelligence (iGGi) at University of YorkDiplôme d'ingénieur, Informatique et Systèmes, Diplôme d'ingénieur, Informatique et Systèmes at Ecole nationale supérieure de l'Electronique et de ses ApplicationsMaster Recherche - Systèmes Intelligents et Communicants (SIC), Informatique et Ingénierie des Systèmes Complexes - Intelligence Artificielle et Robotique, Master Recherche - Systèmes Intelligents et Communicants (SIC), Informatique et Ingénierie des Systèmes Complexes - Intelligence Artificielle et Robotique at CY Cergy Paris UniversitéCPGE MPSI,MP, CPGE MPSI,MP at Lycée ChateaubriandMaster of Engineering - MEng, Electrical Engineering and Information Science, Master of Engineering - MEng, Electrical Engineering and Information Science at Osaka Prefecture University
French, English, German, Japanese
Github Skills (58)
python10
openai-gym10
machine-learning10
reinforcement-learning-environments10
numpy10
deep-learning10
gpu10
neural-network10
maze10
grid-world9
mahjong9
acceleration9
autograd9
tensorflow9
testbed9
Programming languages (3)
Github contributions (5)
Near32/GazeboDomainRandomization
Aug 2017 - Sep 2019
Implementation of some Domain Randomization tools within the ROS+Gazebo framework, following the work of Tobin et al. "Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real Worl" (https://arxiv.org/abs/1703.06907)
Contributions:1 release, 25 commits, 1 PR in 2 years
gazeboroboticsarxivabsros2
Near32/Core
Jan 2016 - Dec 2018
Contributions:155 pushes, 4 branches in 3 years
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