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Mr Alexandros Makrodimitris

Research project: Machine learning on gaming analytics

Abstract

Machine learning is part of computer science and subject in the context of artificial intelligence. Algorithms are developed and manufactured on computer models using data in order to forecast and exported decisions for the purpose of machine learning. Machine learning is very close and often confused with computational statistics aimed at prediction using computers. Also, machine learning is applied to a series of computational tasks requiring implementation of flexible algorithms for drawing conclusions.

The research and analysis of how users play, behave and react during gaming is notable. The fact that there are different games scenarios and players have the ability to play multiple online games creates the need for research and analysis. This analysis can be achieved using machine learning algorithms.

Biography

A professional Information and Communication Systems Engineer with a specialisation in Computer Technologies, Telecommunications and Networks. A graduate with experience in developing innovative and creative software and network solutions.

A postgraduate in Information and Network Security with Management. Working experience in Network and Database Systems and ability to lead and participate in group projects. Member of social teams and passionate about IT technologies. Each innovation and difficulty are a challenge to learn and enhance skills. 

Areas of research interest

  • Machine learning
  • Wireless Networks
  • Network and Information Security
  • Information and Communication Systems Engineering

Qualifications

  • MSc Network and Information Security with Management Studies, Kingston University
  • BSc Information and Communication Systems Engineering, University of the Aegean, Greece
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