Nikolaos Polatidis

Artificial Intelligence and Machine learning and their applications in emerging domains such as cybersecurity.

Research interests include:

• Artificial Intelligence
• Machine Learning
• Cybersecurity

I am interested in supervising postgraduate research students in

• Artificial Intelligence
• Machine Learning
• Cybersecurity

I have sucessfully supervised:

- Gharbi Alshammari (Hydra: A hybrid framework that improves collaborative filtering recommendation quality)

I'm currently supervising:

- Abdullah Alshammari (Exploiting social media network structure to improve user profiles for short-text-based recommender systems)

Since February 2019, I have been a Senior Lecturer in the School of Computing, Engineering and Mathematics at the University of Brighton. Prior to this, I was a Lecturer from May 2018 to January 2019 and a Research Fellow from March 2017 to March 2018.

In terms of education, I obtained a BSc (Hons) from Heriot-Watt University in 2008, an MSc in Internet Software Systems from the University of Birmingham in 2011 and a PhD in Applied Informatics from the University of Macedonia (Greece) in 2017.

I have published around 30 peer reviewed articles, served the wider community via various chairing roles and committee memberships for conferences and workshops (e.g. Special Session Organizer track on recommender systems REC 2019 held at the 11^th International Conference on Computational Collective Intelligence ICCCI 2019, Workshop Chair at the 19^th International Conference on Engineering Applications of Neural Networks EANN 2018, Publicity chair at the 10^th International Conference on Computational Collective Intelligence ICCCI 2018 and program committee member for several other conferences) and by reviewing for a wide range of journals (e.g. IEEE Transactions in Systems, Man and Cybernetics: Systems, IEEE Access, Information Sciences, Expert Systems with Applications, Information Processing & Management, Journal of Information Science, PLOS one).  

Over the past few years I have taught a wide range of Computer Science topics covering the areas of Artificial Intelligence, Machine Learning, Cybersecurity and Web technologies in both undergraduate and postgraduate levels. I am enthusiastic about teaching and the modules that I teach. I adopt an interactive teaching approach where I aim to keep students engaged by asking questions and adapting accordingly. My teaching involves a variety of methods including lectures, practical exercises and assignments that encourage independent learning.

I have facilitated research into the curriculum by introducing the concept of Machine Learning for Cybersecurity for both my undergraduate and postgraduate courses. Furthermore, I have integrated research into final year undergraduate projects, which has led to scientific publications based on the project results and integrated relevant aspects of it into teaching.