Muawya H. S. Eldaw
Tel: +44 - (0)20 - 7631 6700, Fax: +44 - (0)20 - 7631 6727, Email: eldaw at dcs dot bbk dot ac dot uk
Address: Department of Computer Science and Information Systems, Birkbeck College University of London, Malet Street, London, WC1E 7HX
My research interests cover a broad area of computer science, namely data mining and personalization. My current research is in the area of mobile data mining and machine learning. I am exploring new techniques for making location recommendations for mobile users, from a collective model of users' movements.
I worked as software developer for a number of companies in the engineering and the insurance sectors. For more details visit http://m.eldaw.googlepages.com/home
My current roles are:
- Teaching Duties:
- Teaching Assistant Duties:
M. Eldaw, M. Levene, G. Roussos, Presence Analytics: Detecting Classroom-based Social Patterns using WLAN Traces, IntelliSys, September 7-8, 2017, London, UK.
M. Eldaw, M. Levene, G. Roussos, Social-DBSCAN: A Presence Analytics Approach for Mobile Users’ Social Clustering, e-Business and Telecommunications 13th International Joint Conference, ICETE, Lisbon, Portugal, July 26-28, 2016 Revised Selected Papers, Series: Communications in Computer and Information Science, published by Springer. Manuscript submitted for publication
M. Eldaw, M. Levene, G. Roussos, Presence Analytics: Density-based Social Clustering for Mobile Users, WINSYS 2016, July 26-28, 2016, Lisbon, Portugal.
M. Eldaw, M. Levene, G. Roussos, Poster: Constructing a Unique Profile for Mobile User Identification in Location Recommendation Systems, ACM MobiSys'15, May 18-22, 2015, Florence, Italy.
M. Eldaw, M. Levene, G. Roussos, Collective Suffix Tree-based Models For Location Prediction, AwarenCast 2013: ACM UbiComp 13 Adjunct, Sept 8-12, 2013, Zurich, Switzerland.
For a full list of publications, please view my profile on Google Scholar.