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.
Human Computer Interaction
PhD, University of Konstanz, Germany
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