About
I'm a Reader in Computer Science at the University of Essex and Faculty Dean (Postgraduate) for Science and Health. My research is on machine learning and evolutionary computation for finance. Separately, I lead industry and consultancy projects that apply machine learning to business and public-sector problems, such as maritime safety and healthcare.
I started in economics in Athens, then came to Essex for an MSc and an EPSRC-funded PhD. My doctorate used genetic programming and self-organising maps for financial forecasting and agent-based market models, and that mix of economics and computation still runs through my work.
After eight years as a lecturer at the University of Kent, I returned to Essex in 2020. Since then my group has run around 30 funded projects with industry and public bodies, and I have supervised eighteen PhD students.
Employment
- 2024 – present
Faculty Dean (Postgraduate), Faculty of Science and Health
- 2023 – present
Reader, School of Computer Science and Electronic Engineering
- 2021 – 2023
Senior Lecturer
- 2020 – 2021
Lecturer
- 2012 – 2020
Lecturer, School of Computing
- 2013 – 2017
Visiting Fellow
- 2010 – 2012
Research Assistant on British Telecom (BT) projects (fibre-network demand forecasting; backhaul network optimisation)
Leadership roles
At Essex I have served as Director of the Centre for Computational Finance and Economic Agents (CCFEA), Deputy Director of Education, Deputy Director of Graduate Studies and Director of Examinations (PGT). At Kent I was Director of Graduate Studies (Taught), Programme Director for the MSc in Advanced Computer Science and Acting Director of Graduate Studies (Research).
Education
- 2013
Postgraduate Certificate in Higher Education
- 2011
PhD in Computer Science (EPSRC funded), supervised by Prof Edward Tsang and Prof Shu-Heng Chen
- 2006
MSc in Computer Studies, with distinction and the best dissertation prize
- 2005
BSc in Economic Sciences
Teaching
I have taught quantitative methods in finance and trading, advanced programming, web development, data mining and computational intelligence in business, economics and finance. My Kent students nominated me for a Kent Union Teaching Award in 2012–13.
Languages
Greek (native), English (fluent), Mandarin Chinese (intermediate), French (good).
Service and recognition
I contribute to the computational finance and evolutionary computation communities through IEEE leadership, conference organisation, grant review and examining.
Awards and recognition
- Senior Fellow of Advance HE, formerly the Higher Education Academy (2025)
- Best Partnership: Public Sector, University of Essex Innovation Awards (2024), for work with ESNEFT
- Nominated for PhD Supervisor of the Year, University of Essex (2022–2024)
- Nominated for a Kent Union Teaching Award (2012–13)
- Best Paper nomination, EuroGP (2014)
- Computer Studies Prize, University of Essex (2006)
Professional leadership
- Chair, IEEE Computational Finance and Economics Technical Committee (2020–2021)
- Chair, Portfolio Optimisation Task Force, IEEE CFE Technical Committee (2018–2019)
- Member, UKRI Talent Peer Review College (2023 to present)
- Panel member, Engineering, Physical and Space Sciences, Newton Fund Programme, British Council (2015–2016, 2018–2020)
Conference organisation
- General Chair, IEEE CIFEr (2022)
- Symposium Co-Chair, IEEE CIFEr, Symposium Series on Computational Intelligence (2020)
- Chair, Special Session on Evolutionary Algorithms in Finance and Economics, IEEE CEC (2019, 2021)
- Track Chair, EvoFin/EvoBAFIN at EvoStar (2015–2017)
- Programme committee member for GECCO, IEEE CEC and IEEE CIFEr
Editorial work
- Guest Editor, Special Issue on Computational Finance and Economics, Evolutionary Intelligence (2016)
- Guest Editor, Special Issue on Discrete Dynamics in Evolutionary Computation and Its Applications, Discrete Dynamics in Nature and Society (2016)
- Editor of the EvoApplications proceedings, Springer LNCS (2015–2017)
- Reviewer for journals including IEEE Transactions on Evolutionary Computation, Expert Systems with Applications, Information Sciences, Quantitative Finance and the Journal of Banking and Finance
External examining
- 2025 – 2028
BSc Computer Science
- 2024 – 2027
MSc Risk Management
- 2023 – 2027
UG Computer Science, AI and Business Information Systems (SCNU Joint Institute)
- 2023 – 2026
MSc Data Science
- 2020 – 2025
BSc Data Science
I have also examined PhDs at King's College London, Stellenbosch University, Instituto Tecnológico de Aeronáutica, Tecnológico de Monterrey, Universidad Complutense de Madrid, Essex and Kent.