School of Mathematical Sciences
Faculty of Engineering, Computer and Mathematical Sciences
I am working as a Lecturer in Computing and Mathematical Sciences at Flinders University in South Australia. I hold an Adjunct Lecturer position at School of Mathematical Sciences at University of Adelaide and a Visiting Scientist position at CSIRO's Data61. 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 15 years of experience in the technology industry. From 2005 - 2008, I was the technical team lead at Interactive Group of companies, a multinational software development and services providing company with more than 500 employees. I later moved 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, medical image processing, 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. I also working on models to improve executive decision making using methods from complex systems.
- Spotlight on Women in Tech, Algorithm, CSIRO's Data61[March 2021]
- Interview on disinformation campaigns, in SA weekend Advertiser [June 2020]
- Podcast on "fake vs fact", with ACEMS [June 2020]
- CSIRO story: covering work on social bots and trolls [March 2020]
- Blog post by Science in Public about social bots [December 2019]
Date Position Institution name 2021 Lecturer Flinders University 2020 - 2021 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 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.
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 Scopus6 WoS3
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 Scopus1 WoS1
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. 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 Scopus17 WoS18 Europe PMC3
- ACEMS grant - Investigating Language Use by Polarised Groups on Twitter ~ AU$ 13k, 2021
- ACEMS grant - detecting echo chambers in partisan networks - AU$ 4k, 2021
- Grant proposal accepted under the operations research grant (AU$ 100k - 2021)
- 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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