School of Mathematical Sciences
Faculty of Engineering, Computer and Mathematical Sciences
I am a computational social scientist, working as a Research Scientist at Data61 CSIRO. I also hold an Adjunct Lecturer position at School of Mathematical Sciences at University of Adelaide. I am also an Associate Investigator with ARC Centre of Excellence for Mathematical and Statistical Frontiers and a member of the Equity and Diversity Committee.
I have over 14 years of experience in the technology industry. From 2005 - 2008, I was the technical team lead at Interactive Group of companies which is a multinational software development and services providing company with more than 500 employees. I later moved on to work with National University of Sciences and Technology Pakistan as a lecturer. During my appointment I also worked as the department coordinator for 18 months. From 2012 - 2016 I was employed as a Research Scientist with University of Konstanz, Germany.
I finished my PhD in Computer Science from University of Konstanz, under the supervision of Prof. Dr. Ulrik Brandes, financially supported by Deutsche Forschungsgemeinschaft in 2016. My thesis focused on inferring social relations including friendship links and interactions in partially observable social networks.
My research interests include: social network analysis, machine learning, health analytics, and human computer interaction. My current work focuses on predicting population level events in Australia, detecting fake news and misinformation and modeling polarisation on social media.
Date Position Institution name 2020 Research Scientist CSIRO's Data61 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
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)
Year Citation 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.
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.
2019 Fatima, M., Rextin, A., Hayat, S., & Nasim, M. (2019). Exploiting contextual information to improve call prediction. PLoS ONE, 14(10), 15 pages.
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 Scopus3 WoS3
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.
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 Scopus16 WoS17 Europe PMC3
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 CoRR Vol. abs/2004.00742. 2019 Le, B. D., Wang, G., Nasim, M., & Babar, M. A. (2019). Gathering Cyber Threat Intelligence from Twitter Using Novelty Classification.. In 2019 International Conference on Cyberworlds (CW) (pp. 316-323). online: IEEE.
2019 Rasheed, O., Rextin, A., & Nasim, M. (2019). Adult or Child: Recognizing through Touch Gestures on Smartphones. In 2019 Digital Image Computing: Techniques and Applications, DICTA 2019 (pp. 1-8). IEEE.
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 Scopus3 WoS3
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.
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.
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.
- Fresh Science, SA finalist for the year 2019.
- Grant proposal accepted under the Australia–Germany Joint Research Co-operation Scheme for the years 2020/21. (AU$ 20k)
- Proposal accepted to organise Complex Networks Winter Workshop in Australia in 2021. (AU$ 20k)
- Contributed as a Co-PI in a proposal accepted by NIHR -UK to assess prediction models for seasonal pollen induced asthma in Islamabad (~AU$ 360k)
|2018||Scientific Computing||Undergraduate (250 students)||University of Adelaide|
|2012||Scientific Visualisation||Postgraduate||National University of Sciences and Technology|
|2011||Fundamentals of ICT||Undergraduate||National University of Sciences and Technology|
|2014||Network Dynamics||Undergraduate/Postgraduate||University of Konstanz|
|2013||Network Modeling||Undergraduate/Postgraduate||University of Konstanz|
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