Institute for Artificial Intelligence
School of Computing, University of Leeds
My PhD research has had a big impact globally. A practical result of my work, The Quranic Arabic Corpus is used by over 2 million people each year, as an educational resource to study and learn Classical Arabic online.
I have 13 years industry experience as a software engineer in London's financial industry. I have worked on advanced projects including high-frequency trading, algorithmic strategies and machine learning applied to financial markets.
As a senior programmer, I have regularly mentored other engineers in industry by teaching practical aspects of computer science.
Quranic Arabic natural language processing with machine learning and statistical parsing.
Numerical computation, theoretical physics, quantum mechanics and general relativity. Ranked 9th best university worldwide.
Over the past 13 years, my industry experience in software engineering has included project manager, team lead, senior developer and software architect. I have successfully delivered high-profile projects (with multi-million dollar budgets) at investment banks and financial institutions. I have worked at:
Credit Suisse, Barclays Capital, Royal Bank of Scotland, Merrill Lynch, Bank of America, the London Stock Exchange and other financial firms.
Organizer of the shared task on Supervised Semantic Parsing of Robotic Spatial Commands.
The Examination Board at the University of Leeds has recognized the PhD Thesis Statistical Parsing by Machine Learning from a Classical Arabic Treebank as an 'outstanding achievement in research excellence':
I participated in design and architecture and had a lead role in the team that developed HyperCube, a novel system for real-time financial data virtualization. I shared the Banking Technology Prize for Asset Management for this work, a prestigious award within the global financial industry.
For the wide and global impact of my PhD research, I was awarded Postgraduate Researcher of the Year by the Faculty of Engineering at the University of Leeds.
Copyright © Kais Dukes, 2014. A Google App Engine site.