Dr Mehwish Nasim

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• Appointments

  Date	Position	Institution name
  2016	Postdoctoral Researcher	University of Adelaide
  2012 - 2016	Research Scientist	University of Konstanz
  2011 - 2012	Lecturer	National University of Sciences and Technology
  2009 - 2011	Research Associate	National University of Sciences and Technology
  2005 - 2008	Technical Team Lead	Interactive Group

• Education

  Date	Institution name	Country	Title
  2012 - 2016	University of Konstanz	Germany	PhD
  2010	National University of Sciences and Technology	Pakistan	Master of Science - Research
  2005	National University of Computer and Emerging Sciences	Pakistan	Bachelor of Science (Honours)

• Research Interests

  Applied Statistics Artificial Intelligence Computer-Human Interaction Human Information Behaviour Knowledge Representation and Machine Learning Pattern Recognition and Data Mining Simulation and Modelling Social Sciences Methods Studies in Human Society

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• Journals

  Year	Citation
  2019	Bilal, A., Rextin, A., Kakakhel, A., & Nasim, M. (2019). Analysing emergent users' text messages data and exploring its benefits. IEEE Access, 7, 2870-2879. DOI
  2017	Nasim, M., Rextin, A., Hayat, S., Khan, N., & Malik, M. (2017). Data analysis and call prediction on dyadic data from an understudied population. Pervasive and Mobile Computing, 41, 166-178. DOI Scopus1 WoS1
  2016	Nasim, M., Charbey, R., Prieur, C., & Brandes, U. (2016). Investigating Link Inference in Partially Observable Networks: Friendship Ties and Interaction. IEEE Transactions on Computational Social Systems, 3(3), 113-119. DOI Scopus7
  2015	Nasim, M., Rextin, A., Khan, N., & Malik, M. (2015). On Temporal Regularity in Social Interactions: Predicting Mobile Phone Calls.. CoRR, abs/1512.08061.
  2012	Nasim, M., Qaisar, S., & Lee, S. (2012). An energy efficient cooperative hierarchical MIMO clustering scheme forwireless sensor networks. Sensors, 12(1), 92-114. DOI Scopus14 WoS15 Europe PMC3
  —	Le, B. D., Wang, G., Nasim, M., & Babar, A. (n.d.). Gathering Cyber Threat Intelligence from Twitter Using Novelty Classification.

• Conference Papers

  Year	Citation
  2018	Nasim, M., Nguyen, A., Lothian, N., Cope, R., & Mitchell, L. (2018). Real-time Detection of Content Polluters in Partially Observable Twitter Networks. In P. -A. Champin, F. L. Gandon, M. Lalmas, & P. G. Ipeirotis (Eds.), WWW (Companion Volume) (pp. 1331-1339). Lyon: ACM.
  2017	Bilal, A., Rextin, A., Kakakhel, A., & Nasim, M. (2017). Roman-txt: forms and functions of Roman Urdu texting. In M. Jones, M. Tscheligi, Y. Rogers, & R. Murray-Smith (Eds.), Proceedings of the 19th International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 15-1-15-9). Vienna, Austria: ACM. DOI Scopus2 WoS2
  2016	Nasim, M., Rextin, A., Khan, N., & Malik, M. (2016). Understanding call logs of smartphone users for making future calls. In Proceedings of the 18th International Conference on Human-Computer Interaction with Mobile Devices and Services (pp. 483-490). Florence, Italy: ACM. DOI Scopus3
  2014	Nasim, M., & Brandes, U. (2014). Predicting Network Structure Using Unlabeled Interaction Information. In MMB & DFT 2014 Proceedings of the International Workshop SOCNET 2014 (pp. 57-64). Bamberg, Germany: University of Bamberg Press.
  2013	Nasim, M., Ilyas, M., Rextin, A., & Nasim, N. (2013). On commenting behavior of facebook users. In HT 2013 - Proceedings of the 24th ACM Conference on Hypertext and Social Media (pp. 179-183). Online: ACM Publishers. DOI Scopus7
  2011	Nasim, M., & Qaisar, S. (2011). Cooperative communication for energy efficiency in mobile wireless sensor networks. In B. Murgante, O. Gervasi, A. Iglesias, D. Taniar, & B. Apduhan (Eds.), Proceedings of the 11th International Conference on Computational Science and Its Applications Vol. 6785 LNCS (pp. 159-172). Santander, Spain: Springer-Verlag Berlin. DOI Scopus3 WoS2
  2010	Nasim, M., & Qaisar, S. (2010). Hierarchical MIMO: A clustering approach for ad hoc wireless sensor networks. In 2010 44th Annual Conference on Information Sciences and Systems, CISS 2010 (pp. 1-6). IEEE. DOI Scopus9

• Working Paper

  Year	Citation
  2018	Tuke, J., Nguyen, A., Nasim, M., Mellor, D., Wickramasinghe, A., Bean, N. G., & Mitchell, L. (2018). Pachinko Prediction: A Bayesian method for event prediction from social media data..

Lecturer

Tutor

• Position: Research Engineer
• Phone: 83135407
• Email: mehwish.nasim@adelaide.edu.au
• Fax: 8313 3696
• Campus: North Terrace
• Building: Ingkarni Wardli, floor 7
• Room: 7 35
• Org Unit: Mathematical Sciences