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
  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 Scopus1
  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 Scopus17 WoS1 Europe PMC5
  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 Scopus7
  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
  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
  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 Scopus30 WoS7
  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 Scopus6 WoS2 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 Scopus8 WoS4 Europe PMC4
  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 Scopus22 WoS10
  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 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.
  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 Scopus6 WoS2
  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 Scopus24 WoS16
  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
  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 Scopus2
  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
  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
  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). Scopus10
  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 Scopus1
  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
  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 Scopus34
  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
  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. Nowé, G. J. Nalepa, R. Fairstein, & R. Radulescu (Eds.), Frontiers in Artificial Intelligence and Applications Vol. 372 (pp. 2346-2353). IOS Press. DOI Scopus26
  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 Scopus2
  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 Scopus9 WoS5
  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 Scopus30 WoS11
  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 WoS12
  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 Scopus16 WoS9
  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

• 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

• Email: mehwish.nasim@adelaide.edu.au