Abdullah A. Alshehri
PhD Researcher- Oct 2014
A member of Data Mining and Machine Learning Group (DMML)
Department of Computer Science
University of Liverpool.
Ashton Building, Ashton Street, Liverpool L69 3BX,
+44(0)151 795 4275
Mail: a (dot) a (dot) alshehri (atmark) liv.ac.uk
Software Engineering was the first topic to get involved into Computer Science (CS) field. I worked on variuos topics in the subject of Software Engineering including software requirement management, modelling process frameworks (i.e. BPMN and i*) and change management. Currently, I am more focusing on Data Mining, Pattern Recognition, Mining Stream Data and Time Series Representation Methods. My work is also directed at mining behavioral biometrics (authentication traits) in the context of streaming analysis.
4. Abdullah Alshehri, Frans Coenen, and Danushka Bollegala: Real Time Keystroke Continuous Authentication: A Time Series Based Approach, To Appear (2017). The supplementary web page.
3. Abdullah Alshehri, Frans Coenen, and Danushka Bollegala: Accurate Continuous and Non-intrusive User Authentication with Multivariate Keystroke Streaming, 9th International Conference on Knowledge Discovery, Knowledge Engineering and Knowledge Management (IC3K), To appear, Madeira, Portugal. (2017.November)
2. Abdullah Alshehri, Frans Coenen, and Danushka Bollegala: Towards Keystroke Continuous Authentication Using Time Series Analytics, Thirty-sixth SGAI International Conference on Artificial Intelligence, pp. 325-339 Springer International Publishing, Cambridge, England. (2016.December). Winner of Best Application Stream Student Paper Prize
1. Abdullah Alshehri, Frans Coenen, and Danushka Bollegala: Keyboard Usage Authentication using Time Series Analysis, 18th International Conference on Big Data Analytics and Knowledge Discovery, pp.239-252 Springer International Publishing, Porto, Portugal. (2016.September).