Dr Mehwish Nasim

Adjunct

School of Mathematical Sciences

Faculty of Engineering, Computer and Mathematical Sciences

My Research
Career
Publications
Grants and Funding
Teaching
Contact

Research

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. 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.

Media

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]

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Appointments

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

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
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. 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 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. DOI Scopus1
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. DOI Scopus15
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

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 Scopus1
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 Scopus5
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
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 Scopus11 WoS4
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 Scopus11
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 Scopus7 WoS7
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 Scopus6
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 Scopus8
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

Flinders Impact Seed Funding - Combating vaccine related misinformation in migrant communities in Australia (2021-22)
ACEMS grant - Investigating Language Use by Polarised Groups on Twitter ~ AU$ 13k, 2021
ACEMS grant - To understand the properties of echo chambers on social media ~ AU$ 4k, 2021
Grant proposal accepted under the operations research grant for modeling social influence in wargames (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)

Lecturer

Year	Course	Level	University
2021	Database Modelling and Knowledge Engineering	Undergraduate and Postgraduate (200 students)	Flinders University
2020	Cyber Security	Non-degree Course	Flinders University
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

Tutor

Year	Course	Level	University
2014	Network Dynamics	Undergraduate/Postgraduate	University of Konstanz
2013	Network Modeling	Undergraduate/Postgraduate	University of Konstanz

Position: Adjunct
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