I received my PhD from University of Konstanz (Germany) in 2016. I am working as a Postdoc researcher on a D2DCRC's project called Beat the News, for predicting population level events in Australia. My research interests include discovering links in covert networks, modeling social networks, and predictive analysis.
I am also involved in multiple collaborative projects with researchers from Germany, UK and several Asian countries in order to develop technology for the emergent users.
Research Interests:
Cybersecurity
Data Science
Human Computer Interaction
Predictive Models
Social Networks
Qualifications:
PhD, University of Konstanz, Germany
Publications
Invited talks, refereed proceedings and other conference outputs
Nasim, M., Nguyen A., Lothian N., Cope R., & Mitchell L.
(2018). Real-time Detection of Content Polluters in Partially Observable Twitter Networks. Companion of the The Web Conference 2018 on The Web Conference 2018. 1331–1339.
Bilal, A., Rextin A., Kakakhel A., & Nasim M.
(2017). Roman-txt: forms and functions of roman urdu texting. Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services. 15. doi: 10.1145/3098279.3098552
Bilal, A., Rextin A., Kakakhel A., & Nasim M.
(2018). Analyzing Emergent Users’ Text Messages Data and Exploring Its Benefits. IEEE Access. 7,
Tuke, J., Nguyen A., Nasim M., Mellor D., Wickramasinghe A., Bean N. G., et al.
(2018). Pachinko Prediction: A Bayesian method for event prediction from social media data. arXiv preprint arXiv:1809.08427.
Nasim, M., Rextin A., Hayat S., Khan N., & Malik M. Muddassir
(2017). Data analysis and call prediction on dyadic data from an understudied population. Pervasive and Mobile Computing. 41, 166–178. doi: 10.1016/j.pmcj.2017.08.002
