Ahmad Ammari

Dr. Ahmad Ammari is a Research Fellow at the School of Computing, University of Leeds, currently working with Dr Lydia Lau and Dr. Vania Dimitrova on the DICODE and ImREAL projects. The high-level objective of DICODE is to facilitate and augment collaboration and decision making in data-intensive and cognitively-complex settings. To do so, DICODE will exploit and build on novel computing paradigms and data processing technologies. The high-level objective of ImREAL is to develop a novel conceptual framework and innovative semantic-enhanced intelligent services to augment existing simulated environments with adaptive meta-cognitive scaffolding in a cost effective way. Both DICODE and ImREAL are funded under the ICT Framework 7 project.

Ahmad graduated from the University of Bradford in 2010 with a PhD in Computing and Mathematics focusing on the Development and Evaluation of new Web Mining methods that enhance Information Retrieval and improve the understanding of user’s Web behaviour in Websites and social blogs. During his PhD study, he published research papers in International Conferences such as the 3rd KES International Symposium on Agent and Multi-Agent Systems, Technologies and Applications, Uppsala, Sweden; the 1st International Workshop on Mining Social Media MSM’09, Sevilla Spain; the 18th European Symposium on Artificial Neural Networks, Computational Intelligence and Machine Learning ESANN 2010, Bruges, Belgium; and the 5th IEEE International Conference on e-Science, Oxford, UK. Prior to the PhD, Ahmad was an IT University Instructor, the IT Faculty Co-ordinator, and the E-Commerce and Marketing Program Co-ordinator at the Emirates College of Technology in Abu Dhabi, UAE.

Ahmad's research interests lie in Web Content, Structure and Usage Mining, Recommender Engines, Social Network Analysis, User's Web Behaviour Understanding, and Modelling and Data Mining the Blogosphere.