Dr. Abdalla Kablan is an expert in Computational Finance and Big Data Analytics. He has a PhD degree in Computational Finance from the University of Essex, UK, and his PhD thesis title was (The Applications of Fuzzy Logic for High Frequency Trading). He is a scientific expert in the application of computational intelligence to financial systems, and has an extensive academic research publications track record in the areas of algorithmic trading, computational intelligence, Machine Learning, and Finance with renowned academic journals, many of which won various research awards.
Dr. Kablan also has an MSc in Financial Engineering and Knowledge Management from the University of Bradford, UK, and a BSc I.T degree in Computer Systems Engineering from the University of Malta.
Dr. Kablan's research focuses on; Computational Finance, Financial Data Analytics, High Frequency Finance, Algorithmic Trading Systems, Statistical Modelling of Large data sets, Artificial Intelligence, Machine Learning, and Forensic Asset Tracing and Tracking systems. His interests also include Heuristic analysis of dynamic portfolios, and Genetic-Fuzzy systems for asset detection and allocation.
Throughout his career, Dr. Kablan has designed and implemented various financial trading and data modelling/analysis systems. A large part of his PhD thesis was also dedicated to the statistical back testing and risk analysis of financial data and trading strategies using Monte Carlo simulations and booth strapping methods. The majority of Dr. Kablan's research has been fully published and peer reviewed by internationally acclaimed journals and academic conference proceedings.