Mehwish Nasim

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

Dr Mehwish Nasim

School of Mathematical Sciences

College of Sciences

Research

I am a Lecturer in Computer Science at The University of Western Australia. I hold an Adjunct Lecturer position at School of Mathematical Sciences at University of Adelaide and an adjunct academic position at Flinders University. 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 17 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
  • Women in STEM part1 - Who Says Mathematics Jobs Are Boring? [March 2022]
  • Women in STEM part2 - Debunking Gender Stereotypes [March 2022]
  • Women in STEM part3 - Experts’ Tips For Learning Mathematics [March 2022]
  • Flinders News National Security in spotlight [February 2022]
  • 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
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 Competency
German Can read, write and speak

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
2025 Liu, W., Miao, B., Cao, J., Zhu, X., Ge, J., Liu, B., . . . Mian, A. (2025). Context-Enhanced Video Moment Retrieval With Large Language Models. IEEE Transactions on Multimedia, 27, 6296-6306.
DOI Scopus1 WoS1
2025 Bhandari, P., Naseem, U., Datta, A., Fay, N., & Nasim, M. (2025). Evaluating Personality Traits in Large Language Models: Insights from Psychological Questionnaires. Www Companion 2025 Companion Proceedings of the ACM Web Conference 2025, abs/2502.05248, 868-872.
DOI Scopus1 WoS3
2025 Thapa, S., Shiwakoti, S., Shah, S. B., Adhikari, S., Veeramani, H., Nasim, M., & Naseem, U. (2025). Large language models (LLM) in computational social science: prospects, current state, and challenges. Social Network Analysis and Mining, 15(1), 30 pages.
DOI Scopus24 WoS19
2025 Liu, W., Cao, J., Miao, B., Fu, Z., Zhu, X., Ge, J., . . . Mian, A. (2025). Denoise-then-Retrieve: Text-Conditioned Video Denoising for Video Moment Retrieval. Ijcai International Joint Conference on Artificial Intelligence, abs/2508.11313, 1612-1620.
DOI
2024 Butler, L. H., Lamont, P., Wan, D. L. Y., Prike, T., Nasim, M., Walker, B., . . . Ecker, U. K. H. (2024). The (Mis)Information Game: A social media simulator. Behavior Research Methods, 56(3), 2376-2397.
DOI Scopus21 WoS20 Europe PMC8
2024 Naseem, U., Thapa, S., Zhang, Q., Hu, L., Rashid, J., & Nasim, M. (2024). Incorporating historical information by disentangling hidden representations for mental health surveillance on social media. Social Network Analysis and Mining, 14(1), 13 pages.
DOI Scopus8 WoS6
2024 Kakakhail, A., Rextin, A., Buters, J., Lin, C., Maya-Manzano, J. M., Nasim, M., . . . Yusuf, O. (2024). Predicting the main pollen season of Broussonetia Papyrifera (paper mulberry) tree. Plos One, 19(2 February), 16 pages.
DOI Scopus1 WoS1
2023 Yusuf, O. M., Rextin, A. T., Ahmed, B., Aman, R., Anjum, T., Mustafa, S., . . . Schwarze, J. (2023). Association of asthma exacerbations with paper mulberry (Broussenetia papyrifera) pollen in Islamabad: An observational study. Journal of Global Health, 13, 11 pages.
DOI Scopus1 WoS1
2023 Nasim, N., & Nasim, M. (2023). Greenhouse gas (GHG) emissions in Australian states and territories: Determinants and policy implications. Plos Climate, 2(2), 15 pages.
DOI
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 Scopus41 WoS28
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), 64-1-64-26.
DOI Scopus9 WoS6 Europe PMC1
2022 Nasim, M., Weber, D., South, T., Tuke, J., Bean, N., Falzon, L., & Mitchell, L. (2022). Are we always in strife? A longitudinal study of the echo chamber effect
in the Australian Twittersphere.
2022 Fatima, M., Rextin, A., Nasim, M., & Yusuf, O. (2022). Digital Information Seeking and Sharing Behavior During the First Wave
of the COVID-19 Pandemic.
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 Scopus10 WoS8 Europe PMC5
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 Scopus23 WoS16
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 Scopus7 WoS6
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 Scopus3 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 Scopus7 WoS4
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 Scopus6 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 Scopus25 WoS21
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

Year Citation
2026 Farooq, H., Taj, M., Nasim, M., & Mahmood, A. (2026). Localization Lens for Improving Medical Vision-Language Models. In J. C. Gee, D. C. Alexander, J. Hong, J. E. Iglesias, C. H. Sudre, A. Venkataraman, . . . J. Park (Eds.), Lecture Notes in Computer Science Vol. 15968 LNCS (pp. 341-350). Springer Nature Switzerland.
DOI
2025 Naseem, U., Thapa, S., Lee, R. K. W., & Nasim, M. (2025). Third International Workshop on Multimodal Content Analysis for Social Good. In G. Long, M. Blumestein, Y. Chang, L. Lewin-Eytan, Z. H. Huang, & E. Yom-Tov (Eds.), Www Companion 2025 Companion Proceedings of the ACM Web Conference 2025 (pp. 1961-1962). AUSTRALIA, Sydney: ASSOC COMPUTING MACHINERY.
DOI
2024 Nasim, M., Wilden, A. J., Williams, P., Legrand, T., & Williams, P. A. H. (2024). A Capability Maturity Model for Benchmarking in Wargames. In M. Lehto (Ed.), European Conference on Information Warfare and Security Eccws Vol. 23 (pp. 844-847). FINLAND, University Of Jyvskyl, Jyvaeskylae: ACAD CONFERENCES LTD.
2024 Thapa, S., Jafri, F. A., Rauniyar, K., Nasim, M., & Naseem, U. (2024). RUHate-MM: Identification of Hate Speech and Targets using Multimodal Data from Russia-Ukraine Crisis. In T. -S. Chua, C. -W. Ngo, R. K. -W. Lee, R. Kumar, & H. W. Lauw (Eds.), WWW 2024 Companion - Companion Proceedings of the ACM Web Conference (pp. 1854-1863). Singapore: ACM.
DOI Scopus4
2024 Thapa, S., Naseem, U., Lee, R. K. W., & Nasim, M. (2024). Foreword for the First International Workshop on Multimodal Content Analysis for Social Good (MM4SG 2024). In T. -S. Chua, C. -W. Ngo, R. K. -W. Lee, R. Kumar, & H. W. Lauw (Eds.), Www 2024 Companion Companion Proceedings of the ACM Web Conference (pp. 1803-1804). ACM.
DOI Scopus1
2023 Tonkin, A., Kosasih, W., Grobler, M., & Nasim, M. (2023). Simulating cyber security management: A gamified approach to executive decision making. In 37th IEEE/ACM International Conference on Automated Software Engineering (pp. 8 pages). Rochester MI USA: ACM.
DOI Scopus3 WoS3
2023 Thapa, S., Maratha, A., Hasib, K. M., Nasim, M., & Naseem, U. (2023). Assessing Political Inclination of Bangla Language Models. In Blp 2023 1st Workshop on Bangla Language Processing Proceedings of the Workshop (pp. 152-162).
Scopus11
2023 Naseem, U., Thapa, S., Zhang, Q., Hu, L., Masood, A., & Nasim, M. (2023). Reducing Knowledge Noise for Improved Semantic Analysis in Biomedical Natural Language Processing Applications. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 272-277). Association for Computational Linguistics.
DOI Scopus2
2023 Wilden, A. J., Nasim, M., Williams, P., Legrand, T., Turnbull, B. P., & Williams, P. A. H. (2023). On Benchmarking and Validation in Wargames. In A. Andreatos, & C. Douligeris (Eds.), European Conference on Information Warfare and Security, ECCWS Vol. 22 (pp. 533-543). Greece: Academic Conferences International Limited.
DOI Scopus1
2023 Bhandari, A., Shah, S. B., Thapa, S., Naseem, U., & Nasim, M. (2023). CrisisHateMM: Multimodal Analysis of Directed and Undirected Hate Speech in Text-Embedded Images from Russia-Ukraine Conflict. In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops Vol. 2023-June (pp. 1994-2003). IEEE.
DOI Scopus44
2023 Rauniyar, K., Shiwakoti, S., Poudel, S., Thapa, S., Naseem, U., & Nasim, M. (2023). Breaking Barriers: Exploring the Diagnostic Potential of Speech Narratives in Hindi for Alzheimer's Disease. In Proceedings of the Annual Meeting of the Association for Computational Linguistics (pp. 24-30). Association for Computational Linguistics.
DOI Scopus2
2023 Naseem, U., Thapa, S., Zhang, Q., Hu, L., & Nasim, M. (2023). MDKG: Graph-Based Medical Knowledge-Guided Dialogue Generation. In SIGIR 2023 Proceedings of the 46th International ACM SIGIR Conference on Research and Development in Information Retrieval (pp. 2164-2168). TAIWAN, Taipei: ASSOC COMPUTING MACHINERY.
DOI Scopus1 WoS1
2023 Masood, A., Naseem, U., & Nasim, M. (2023). Fully Automated CAD System for Lung Cancer Detection and Classification Using 3D Residual U-Net with multi-Region Proposal Network (mRPN) in CT Images. In S. Ali, F. VanDerSommen, M. VanEijnatten, B. W. Papiez, Y. Jin, & I. Kolenbrander (Eds.), Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) Vol. 14295 LNCS (pp. 29-39). CANADA, Vancouver: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI
2023 Thapa, S., Rauniyar, K., Shiwakoti, S., Poudel, S., Naseem, U., & Nasim, M. (2023). NEHATE: Large-Scale Annotated Data Shedding Light on Hate Speech in Nepali Local Election Discourse. In K. Gal, A. Nowe, G. J. Nalepa, R. Fairstein, & R. Radulescu (Eds.), Frontiers in Artificial Intelligence and Applications Vol. 372 (pp. 2346-2353). POLAND, Krakow: IOS PRESS.
DOI Scopus31 WoS3
2022 Fatima, M., Rextin, A., Nasim, M., & Yusuf, O. (2022). Digital Information Seeking and Sharing Behaviour During the COVID-19 Pandemic in Pakistan. In F. Spezzano, A. Amaral, D. Ceolin, L. Fazio, & E. Serra (Eds.), Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics Vol. 13545 LNCS (pp. 44-62). ELECTR NETWORK: SPRINGER INTERNATIONAL PUBLISHING AG.
DOI
2022 Nasim, M., Sharif, N., Bhandari, P., Weber, D., Wood, M., Falzon, L., & Kashima, Y. (2022). Investigating Language Use by Polarised Groups on Twitter: A Case Study of the Bushfires. In ACM International Conference Proceeding Series (pp. 1-7). ACM.
DOI Scopus3
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 Scopus10 WoS7
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 Scopus22
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 Scopus31 WoS15
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 Scopus3
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 Scopus20 WoS14
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 Scopus18 WoS15
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 Scopus10
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

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

Year Citation
2024 Liu, W., Miao, B., Cao, J., Zhu, X., Liu, B., Nasim, M., & Mian, A. (2024). Context-Enhanced Video Moment Retrieval with Large Language Models..
  • Defence AI Research Network grant ~ $100K (2022)
  • Defence Innovation Partnership - A framework to address design challenges in wargames ~ $150k (2022)
  • Flinders Impact Seed Funding - Combating vaccine related misinformation in migrant communities in Australia $10k  (2021-22)
  • ACEMS grant - Investigating Language Use by Polarised Groups on Twitter ~ AU$ 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
2022 Algorithms, Agents and AI Undergraduate (200 students) University of Western Australia
2022 Data Engineering Undergraduate and Postgraduate (170 students) Flinders 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

 

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