About Me

I am Claudio Coppola, a Roboticist specialised in the using computer vision for 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.


I am currently part in 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.   I have joined Buzzoole as 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.

Just after my Master’s Degree, I joined KPMG as a Consultant for Business intelligence. My duties were involving the maintenance and development of backend queries to support the creation of Business intelligence reports. In particular:

  • Daily Maintenance of a Business intelligence reporting system.
  • Debugging and testing of queries generating reports from the data warehouse.
  • Development of queries for extracting information from the customer database to the data warehouse.


I pursued my PhD in Robotic vision with a focus on human social activity recognition for assistive robots. I performed my research mostly 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”.

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 here.

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