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- Mehwish Nasim
Dr Mehwish Nasim
The University of Adelaide
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
Prizes, awards and special recognition
2019
Fresh Science Finalist, South Australia was awarded to Mehwish Nasim. Awarded from the Fresh Science.
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.
(Champin, P-A., Gandon F., Gandon F., Lalmas M., & Ipeirotis P. G., Ed.).The Web Conference 2018. 1331 - 1339. doi: 10.1145/3184558.3191574
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
Journal Articles
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