14 citations · 32 across the 10 of their papers we have counts for
12 papers
Evidence Over Ideology: A Quantitative Assessment of LTNs and Blanket 20 mph Regimes in London
Stylianos Kampakis
We evaluate the road safety implications of Low Traffic Neighbourhoods (LTNs) and blanket 20 mph speed limits in London using injury-collision records (2020-2024). Because London i…
What an odour descriptor corpus can and cannot measure: valence, attenuation, and the ceiling of the public record
Stylianos Kampakis, Fabio Rovai
Machine olfaction trains on pooled public descriptor corpora, but whether a shared descriptor word measures the same thing across corpora has not been tested, nor has the ceiling o…
Proving the Utility of Large Language Models in Cybersecurity Simulations: A Comprehensive Examination
Stylianos Kampakis, Fabio Rovai, Marcos Charalambides +2
Cyber threats continue to escalate in both frequency and sophistication, necessitating more adaptive and scalable defense strategies. This paper explores how Large Language Models…
JANUS: A Stablecoin 3.0 Blueprint for Navigating the Stablecoin Trilemma Through Dual-Token Design, Multi-Collateralization, Soft Peg, and AI-Driven Stabilization
Stylianos Kampakis
This paper introduces JANUS, a Stablecoin 3.0 protocol designed to address the stablecoin trilemma--simultaneously improving decentralization (D), capital efficiency (E), and safet…
Modeling Speculative Trading Patterns in Token Markets: An Agent-Based Analysis with TokenLab
Mengjue Wang, Stylianos Kampakis
This paper presents the application of Tokenlab, an agent-based modeling framework designed to analyze price dynamics and speculative behavior within token-based economies. By deco…
Improving the Equation of Exchange for Cryptoasset Valuation Using Empirical Data
Stylianos Kampakis, Melody Yuan, Oritsebawo Paul Ikpobe +1
In the evolving domain of cryptocurrency markets, accurate token valuation remains a critical aspect influencing investment decisions and policy development. Whilst the prevailing…
Machine Learning Modeling to Evaluate the Value of Football Players
Chenyao Li, Stylianos Kampakis, Philip Treleaven
In most sports, especially football, most coaches and analysts search for key performance indicators using notational analysis. This method utilizes a statistical summary of events…
Hygiea: A secure, smart, privacy-preserving and interoperable Blockchain solution for the Covid-19 pandemic
Sofia Maria Dima, Alexandros Hasikos, Stylianos Kampakis +2
In this article we present hygiea, an end-to-end blockchain-based solution for the Covid-19 pandemic. hygiea has two main objectives. The first is to allow governments to issue Cov…
The Evolution of User-Selected Passwords: A Quantitative Analysis of Publicly Available Datasets
Theodosis Mourouzis, Kyriacos E. Pavlou, Stylianos Kampakis
The aim of this work is to study the evolution of password selection among users. We investigate whether users follow best practices when selecting passwords and identify areas in…
Predictive modelling of football injuries
Stylianos Kampakis
The goal of this thesis is to investigate the potential of predictive modelling for football injuries. This work was conducted in close collaboration with Tottenham Hotspurs FC (TH…
Using Machine Learning to Predict the Outcome of English County twenty over Cricket Matches
Stylianos Kampakis, William Thomas
Cricket betting is a multi-billion dollar market. Therefore, there is a strong incentive for models that can predict the outcomes of games and beat the odds provided by bookers. Th…
Using Twitter to predict football outcomes
Stylianos Kampakis, Andreas Adamides
Twitter has been proven to be a notable source for predictive modelling on various domains such as the stock market, the dissemination of diseases or sports outcomes. However, such…