Dr Mehwish Nasim

• Appointments

  Date	Position	Institution name
  2022 - ongoing	Lecturer	The University of Western Australia
  2021 - 2022	Lecturer	Flinders University
  2019 - 2021	Data Scientist	CSIRO
  2016 - 2019	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

• Language Competencies

  Language	Competency
  German	Can read, write and speak

• 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

• Journals

  Year	Citation
  2022	Jiang, L., Jayatilaka, A., Nasim, M., Grobler, M., Zahedi, M., & Babar, M. A. (2022). Systematic Literature Review on Cyber Situational Awareness Visualizations. IEEE Access, 10, 57525-57554. DOI
  2022	Weber, D., Falzon, L., Mitchell, L., & Nasim, M. (2022). Promoting and countering misinformation during Australia’s 2019–2020 bushfires: a case study of polarisation. Social Network Analysis and Mining, 12(1), 64. DOI
  2021	Weber, D., Nasim, M., Mitchell, L., & Falzon, L. (2021). Exploring the effect of streamed social media data variations on social network analysis. Social Network Analysis and Mining, 11(1), 62-1-62-38. DOI Scopus2
  2021	Weber, D., Nasim, M., Mitchell, L., & Falzon, L. (2021). Exploring the effect of streamed social media data variations on social network analysis.. Soc. Netw. Anal. Min., 11, 62. DOI
  2020	Tuke, J., Nguyen, A., Nasim, M., Mellor, D., Wickramasinghe, A., Bean, N. G., & Mitchell, L. (2020). Pachinko Prediction: A Bayesian method for event prediction from social media data. Information Processing and Management, 57(2), 102147-1-102147-13. DOI Scopus11 WoS9
  2020	Hayat, S., Rextin, A., Idris, A., & Nasim, M. (2020). Text and phone calls: user behaviour and dual-channel communication prediction. Human-centric Computing and Information Sciences, 10(1), 18 pages. DOI Scopus5 WoS4
  2020	Tuke, J., Nguyen, A., Nasim, M., Mellor, D., Wickramasinghe, A., Bean, N. G., & Mitchell, L. (2020). Pachinko Prediction: A Bayesian method for event prediction from social media data.. Inf. Process. Manag., 57, 102147. DOI
  2019	Fatima, M., Rextin, A., Hayat, S., & Nasim, M. (2019). Exploiting contextual information to improve call prediction. PLoS ONE, 14(10), 15 pages. DOI Scopus2 WoS1 Europe PMC1
  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 Scopus1 WoS1
  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 Scopus5 WoS4
  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 Scopus17
  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 Scopus17 WoS18 Europe PMC3
  	Nasim, M., Weber, D., South, T., Tuke, J., Bean, N., Falzon, L., & Mitchell, L. (n.d.). Are we always in strife? A longitudinal study of the echo chamber effect in the Australian Twittersphere.
  	Fatima, M., Rextin, A., Nasim, M., & Yusuf, O. (n.d.). Digital Information Seeking and Sharing Behavior During the First Wave of the COVID-19 Pandemic.

• Conference Papers

  Year	Citation
  2020	Weber, D., Nasim, M., Falzon, L., & Mitchell, L. (2020). #ArsonEmergency and Australia's "Black Summer": Polarisation and misinformation on social media. In Proceedings of the 2nd Multidisciplinary International Symposium on Disinformation in Open Online Media (MISDOOM), as published in Lecture Notes in Computer Science Vol. 12259 (pp. 159-173). Switzerland: Springer. DOI Scopus5
  2020	Weber, D., Nasim, M., Mitchell, L., & Falzon, L. (2020). A method to evaluate the reliability of social media data for social network analysis. In M. Atzmüller, M. Coscia, & R. Missaoui (Eds.), Proceedings of the IEEE/ACM International Conference on Advances in Social Networks Analysis and Mining (ASONAM2020) (pp. 317-321). online: IEEE. DOI Scopus7 WoS4
  2019	Rasheed, O., Rextin, A., & Nasim, M. (2019). Adult or child: Recognizing through touch gestures on smartphones. In Proceedings of the International Conference on Digital Image Computing: Techniques and Applications (DICTA 2019) (pp. 1-8). online: IEEE. DOI Scopus2
  2019	Le, B. D., Wang, G., Nasim, M., & Babar, M. A. (2019). Gathering cyber threat intelligence from Twitter using novelty classification. In Proceedings of the 2019 International Conference on Cyberworlds (CW) (pp. 316-323). Kyoto, Japan: IEEE. DOI Scopus17 WoS9
  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.), Proceedings of the Web Conference 2018, as published in WWW '18 Companion: The 2018 Web Conference (pp. 1331-1339). Lyon, France: ACM. DOI Scopus16 WoS11
  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 Scopus9 WoS8
  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 Scopus7 WoS4
  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 Scopus9
  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 Scopus10

• Report for External Bodies

  Year	Citation
  2021	Legrand, T., Nasim, M., & Stearne, R. (2021). A framework for modelling social influence in a war-game setting.

Lecturer

Tutor

• Position: Adjunct
• Phone: 83135407
• Email: mehwish.nasim@adelaide.edu.au
• Fax: 83133696
• Campus: North Terrace
• Building: Ingkarni Wardli, floor 7
• Org Unit: Mathematical Sciences