Summary
Fotios Lygerakis is a robotics and deep learning researcher with nine years of experience bridging academic research and applied machine learning across human-robot interaction, reinforcement learning, and perception. Currently pursuing a PhD at Montanuniversität Leoben, he has led real-time human–agent collaboration experiments and developed practical ROS integrations and PyTorch implementations of Soft Actor-Critic agents that reduced human engagement by 28%. His work spans speech and dialogue state representations, where variational denoising approaches yielded large performance gains, to markerless 3D human keypoint systems and collaborative Unity environments, with multiple peer-reviewed publications and public GitHub projects. Comfortable in both lab and production-adjacent settings, he combines experimental rigor with engineering polish and a background in humanoid and Arduino robotics.
9 years of coding experience
4 years of employment as a software developer
Doctor of Philosophy - PhD, Computer Science, Doctor of Philosophy - PhD, Computer Science at Montanuniversität Leoben
Intergrated Master of Engineering - MEng, Electrical and Computer Engineering, 8.01, Intergrated Master of Engineering - MEng, Electrical and Computer Engineering, 8.01 at Technical University of Crete / Πολυτεχνείο Κρήτης
English, Greek