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
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
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
