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Education


2021
current

AI Researcher,
Naver Labs,
Seoul, South Korea


2020
2021

Postdoctoral Research Associate,
University of Cambridge,
Cambridge, UK


2020
2021

Postdoctoral Research Fellow
Trinity Hall, University of Cambridge,
Cambridge, UK

Selected Roles

2017
2020

PhD in AI and Robotics,
University of Cambridge,
Cambridge, UK

2013
2017

BEng in AI and Software Engineering,
University of Edinburgh,
Edinburgh, UK

Biography

Luca Scimeca is a Machine Learning expert, with focus on Deep Learning, Probabilistic Machine Learning, Computer Vision and Robotics. Luca is currently an AI Researcher at Naver Labs. Prior to this, Luca was a Post-Doctoral Research Associate at the University of Cambridge, where he conducted research at the university’s Biologically Inspired Robotics Laboratory (BIRL).

Luca received his First Class Bachelor of Engineering in Artificial Intelligence and Software Engineering from the University of Edinburgh, where he graduated summa cum laude, obtaining the Class award and Howe Prize for the best performance in Artificial Intelligence. During his studies Luca has won over 13 awards, 9 of which paid scholarships for academic performance.

In 2020 Luca Scimeca received his PhD in Engineering (Artificial Intelligence and Robotics) from the University of Cambridge. During the course of his PhD studies Luca has taken part to several research projects and competitions which led to over 14 high profile conference and journal publications.

Research

" My interests lie mainly in Machine Learning, Vision and Robotics, particularly I am interested in the application of Machine Learning for sensing and perception as well as Machine Learning for medical applications. I am currently carrying out research on the fundamental problems of "learning bias" and "generalization" of inference models for the deployment of AI technologies. "

 

For a list of publications visit this link.

Highlights

Robotics Palpation

Robotics Palpation (University of Cambridge, 2019) This paper proposes a framework to investigate …

Bayesian Exploration for Morphology-Action Co-optimization (University of Cambridge, 2019) Morphology been shown to …

Dynamic Robot Control for Expressive Piano Playing (University of Cambridge, 2019) Piano is …

Coding with Neural Networks (Massachusetts Institute of Technology, 2019) The project was developed …

Multiscale Object Recognition with Inception Neural Networks (University of Cambridge, 2018) Multiscale object …

Morphological Processing of Tactile Stimuli (University of Cambridge, 2017-2018) This project was undertaken …