MCAST @ FPDAPP 2019


MCAST IICT was represented by Mr Axel Curmi at the 2nd International Workshop of Future Perspective of Decentralized Applications (FPDAPP 2019) in Göttingen, Germany, during which he presented his second paper on distributed applications titled “Academic Achievement Recognition and Verification using Blockchain” which is a follow-up on his first paper publication.

The workshop was part of the Euro-Par 2019 International Conference. Axel has just finished his final year of studies in B.Sc. (Hons.) Software Development and I am very honoured and proud to have mentored him, definitely someone to watch.

Author: Frankie Inguanez

I am a Data & Software Consultant from Malta with a specialisation in Business Intelligence & Data Mining. Currently, a senior lecturer and software developer at MCAST focusing on Databases, Business Intelligence and Applied Computational Intelligence modules at degree level. As a developer, I have been working on the development of a management information system together in a small team using PostgreSQL, Spring, Jira, Confluence, Git, amongst other tools. My first degree was a B.Sc.(Hons.) at the University of Malta then I graduated at De Montfort University in M.Sc. Business Intelligence Systems and Data Mining where I was recognised with the Best Student and Best Project awards. My postgraduate research was then presented and published in an IEEE conference in Berlin in 2016. During my free time, I try to find a balance between photography, diving, guitar playing and an occasional camping or walk in the countryside.

Leave a Reply

Fill in your details below or click an icon to log in:

WordPress.com Logo

You are commenting using your WordPress.com account. Log Out /  Change )

Google photo

You are commenting using your Google account. Log Out /  Change )

Twitter picture

You are commenting using your Twitter account. Log Out /  Change )

Facebook photo

You are commenting using your Facebook account. Log Out /  Change )

Connecting to %s

This site uses Akismet to reduce spam. Learn how your comment data is processed.