About Me

I am Claudio Coppola, a Robotics and Machine Learning specialising in recognising human activities from depth data. My major interest concern the usage of Machine Learning for Robotic Perception. Other works concern biometric systems for iris and fingerprint liveness detection.

“All men dream, but not equally. Those who dream by night in the dusty recesses of their minds, wake in the day to find that it was vanity: but the dreamers of the day are dangerous men, for they may act on their dreams with open eyes, to make them possible.”

– E. T. Lawrence –


I am currently a Postdoc working on the MAN3 at the Queen Mary University of London. My current research concerns learning by demonstration for advanced manipulation.
During this experience, I have a developed a system for affordable bilateral teleoperation of a dexterous hand and approaches to learn from grasp demonstrations on clutters performed with it.

I have been part of the 11th cohort of the Entrepreneur First Program. Entrepreneur First funds selected individuals and help build co-founding teams, develop ideas, and accelerate through fund-raising from investors.
Previously, I have joined Buzzoole as Lead Data Scientist. Here, I was cooperating directly with the company CTO in the R&D Team. My tasks involved the development and deployment of data science and machine learning algorithms to support the operations and product departments. In particular:

  • Develop computer vision systems for social media images.
  • Train algorithms to analyse text from social media.
  • Analyse and display influencer metrics.

My first work experience has been in KPMG as a Consultant for Business intelligence. My duties were maintaining and developing software to build robust data-warehouse interrogations and supporting the creation of Business intelligence reports.


PhD Research

I completed my PhD in Robotic vision with a focus on human social activity recognition for assistive robots at the Lincoln Centre for Autonomous Systems. Here, I applied machine learning and pattern recognition algorithms on RGB-D data in order to detect and recognise human activities. Therefore, I have produced publications for several international conferences and Journals such as IROS, ECAI, ROMAN and IJSR. During this time, I attended several online courses and the BMVA summer school for Computer Vision to refine and update my technical skills in Machine Learning and Computer Vision. The title of my PhD thesis is: “Social Activity Recognition for Service Robots using a Depth Camera”.

Graduate info

Previously, I obtained an M.Sc degree cum laude and B.Sc in Computer Engineering at the Università degli Studi di Napoli Federico II, where I developed my knowledge in Calculus, Algebra, Software engineering, Computer Networks, Electronics, Control and, in particular, Artificial Intelligence. The title of my master’s thesis is: “Liveness detection in systems of iris biometric authentication”, where I developed a Machine Learning system with on textural features to detect if an iris trait is live or fake.

Machine Learning for biometric liveness


Some of the code I have developed can be found on my Github profile:

I am also interested in photography. I currently manage my own photography profile on Instagram claudcap_photos. In here, I post the best photos shot during my travels and Photo-walks around the world.