Professor Lewis Mitchell
Professor
School of Computer and Mathematical Sciences
Faculty of Sciences, Engineering and Technology
Eligible to supervise Masters and PhD, but is currently at capacity - email supervisor to discuss availability.
- My Research
- Career
- Publications
- Grants and Funding
- Teaching
- Supervision
- Professional Activities
- Contact
My Homepage
I'm a Professor of Data Science at the University of Adelaide. I study how information moves over social networks using mathematical models, coupled with data science techniques. My research interests are in computational social science, human dynamics, online social networks, as well as data assimilation and the mathematics of weather and climate. Please consult my homepage for further information.
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Appointments
Date Position Institution name 2014 - ongoing Lecturer->Professor of Data Science University of Adelaide 2011 - 2014 Ed Lorenz postdoctoral fellow in the mathematics of climate University of Vermont -
Awards and Achievements
Date Type Title Institution Name Country Amount 2021 Award JH Michell Medal for outstanding new researchers ANZIAM Australia - 2018 Award ACEMS Recognition for Outstanding Participation in Outreach Award ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) Australia 1000 2018 Award ACEMS Outstanding Achievements Recognition Award ARC Centre of Excellence for Mathematical and Statistical Frontiers Australia 1000 2018 Award SA Young Tall Poppy Award Australian Institute of Policy & Science Australia - 2017 Teaching Award ECMS Faculty Teaching Award (Continuing) University of Adelaide Australia 2000 2017 Honour Fresh Science SA Finallist - - - -
Education
Date Institution name Country Title 2008 - 2012 University of Sydney Australia PhD 2003 - 2007 University of Wollongong Australia BMath (Hons) (Adv) / BSc (Physics) (Adv) -
Research Interests
Applied Mathematics Applied Statistics Artificial Intelligence Computational Linguistics Computer Communications Networks Computer-Human Interaction Information and Computing Sciences Knowledge Representation and Machine Learning Mathematical Sciences Networking & Telecommunications Networking and Communications Neural, Evolutionary and Fuzzy Computation Neurocognitive Patterns and Neural Networks Numerical and Computational Mathematics Numerical Computation Pattern Recognition and Data Mining Simulation and Modelling Social Sciences Methods Stochastic Analysis and Modelling
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Journals
Year Citation 2024 Bala, I., Kelly, T. L., Stanford, T., Gillam, M. H., & Mitchell, L. (2024). Machine learning-based analysis of adverse events in mesh implant surgery reports. Social Network Analysis and Mining, 14(1), 15 pages.
2024 Smart, B., Roughan, M., & Mitchell, L. (2024). The entropy rate of Linear Additive Markov Processes.. PloS one, 19(4), e0295074.
2024 Murray, C., Mitchell, L., Tuke, J., & Mackay, M. (2024). Probabilistic emotion and sentiment modelling of patient-reported experiences.. CoRR, abs/2401.04367. 2023 Dharmaprani, D., Jenkins, E. V., Quah, J. X., Tiver, K., Mitchell, L., Tung, M., . . . Ganesan, A. N. (2023). Spatial autocorrelation dimension as a potential determinant for the temporal persistence of human atrial and ventricular fibrillation.
2023 Toomes, A., Moncayo, S., Stringham, O. C., Lassaline, C., Wood, L., Millington, M., . . . Cassey, P. (2023). A snapshot of online wildlife trade: Australian e-commerce trade of native and non-native pets. Biological Conservation, 282, 9 pages.
Scopus52023 Stringham, O. C., Maher, J., Lassaline, C. R., Wood, L., Moncayo, S., Toomes, A., . . . Cassey, P. (2023). The dark web trades wildlife, but mostly for use as drugs. People and Nature, 5(3), 999-1009.
Scopus32023 Jenkins, E. V., Dharmaprani, D., Schopp, M., Quah, J. X., Tiver, K., Mitchell, L., . . . Ganesan, A. N. (2023). Markov modeling of phase singularity interaction effects in human atrial and ventricular fibrillation.. Chaos, 33(6), 10 pages.
2022 Smart, B., Roughan, M., & Mitchell, L. (2022). The entropy rate of Linear Additive Markov Processes. 2022 Andreacchio, A., Bean, N., & Mitchell, L. (2022). Modelling Australian Rules Football as spatial systems with pairwise comparisons. Journal of Quantitative Analysis in Sports, 18(4), 215-226.
2022 Jenkins, E. V., Dharmaprani, D., Schopp, M., Quah, J. X., Tiver, K., Mitchell, L., . . . Ganesan, A. N. (2022). The inspection paradox: An important consideration in the evaluation of rotor lifetimes in cardiac fibrillation.. Front Physiol, 13, 920788.
Scopus2 WoS12022 Murray, C., Mitchell, L., Tuke, J., & Mackay, M. (2022). Revealing Patient-Reported Experiences in Healthcare from Social Media
using the DAPMAV Framework.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.
Scopus3 WoS2 Europe PMC12022 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 Toomes, A., García‐Díaz, P., Stringham, O. C., Ross, J. V., Mitchell, L., & Cassey, P. (2022). Drivers of the Australian native pet trade: the role of species traits, socioeconomic attributes and regulatory systems. Journal of Applied Ecology, 59(5), 1268-1278.
Scopus8 WoS42022 Jenkins, E. V., Dharmaprani, D., Schopp, M., Quah, J. X., Tiver, K., Mitchell, L., . . . Ganesan, A. N. (2022). Understanding the origins of the basic equations of statistical fibrillatory dynamics. Chaos: An Interdisciplinary Journal of Nonlinear Science, 32(3), 032101-1-032101-12.
Scopus3 WoS3 Europe PMC22022 Thomas, E. F., Leggett, N., Kernot, D., Mitchell, L., Magsarjav, S., & Weber, N. (2022). Reclaim the Beach: How Offline Events Shape Online Interactions and Networks Amongst Those Who Support and Oppose Right-Wing Protest. Studies in Conflict and Terrorism, 1-23.
Scopus2 WoS12022 South, T., Smart, B., Roughan, M., & Mitchell, L. (2022). Information flow estimation: A study of news on Twitter. Online Social Networks and Media, 31, 1-10.
Scopus32022 Kalenkova, A., Mitchell, L., & Roughan, M. (2022). Performance Analysis: Discovering Semi-Markov Models From Event Logs. 2022 Murray, C., Mitchell, L., Tuke, J., & Mackay, M. (2022). Revealing Patient-Reported Experiences in Healthcare from Social Media using the DAPMAV Framework.. CoRR, abs/2210.04232. 2022 Nasim, M., Weber, D., South, T., Tuke, J., Bean, N. G., Falzon, L., & Mitchell, L. (2022). Are we always in strife? A longitudinal study of the echo chamber effect in the Australian Twittersphere.. CoRR, abs/2201.09161. 2021 Stringham, O., García‐Díaz, P., Toomes, A., Mitchell, L., Ross, J., & Phill. (2021). Reptile smuggling is predicted by trends in the legal exotic pet trade.
2021 Stringham, O., Moncayo, S., Hill, K., Toomes, A., Mitchell, L., Ross, J., & Phill. (2021). Text classification to streamline online wildlife trade analyses.
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.
Scopus6 WoS4 Europe PMC32021 Stringham, O. C., Moncayo, S., Hill, K. G. W., Toomes, A., Mitchell, L., Ross, J. V., & Cassey, P. (2021). Text classification to streamline online wildlife trade analyses.. PloS one, 16(7), 1-12.
Scopus11 WoS6 Europe PMC12021 Stringham, O. C., García-Díaz, P., Toomes, A., Mitchell, L., Ross, J. V., & Cassey, P. (2021). Live reptile smuggling is predicted by trends in the legal exotic pet trade. Conservation Letters, 14(6), 10 pages.
Scopus15 WoS52021 Stringham, O., Moncayo, S., Thomas, E., Heinrich, S., Toomes, A., Maher, J., . . . Shepherd, C. (2021). Dataset of seized wildlife and their intended uses.
2021 Toomes, A., García‐Díaz, P., Stringham, O., Ross, J., Mitchell, L., & Phill. (2021). Drivers of the live pet trade: the role of species traits, socioeconomic attributes and regulatory systems.
2021 Dharmaprani, D., Jenkins, E. V., Quah, J. X., Lahiri, A., Tiver, K., Mitchell, L., . . . Ganesan, A. N. (2021). A governing equation for rotor and wavelet number in human clinical ventricular fibrillation: implications for sudden cardiac death. Heart Rhythm, 19(2), 295-305.
Scopus10 WoS8 Europe PMC82021 Stringham, O. C., Moncayo, S., Thomas, E., Heinrich, S., Toomes, A., Maher, J., . . . Cassey, P. (2021). Dataset of seized wildlife and their intended uses. Data in Brief, 39, 107531.
Scopus4 WoS12021 Garrett, P. M., White, J. P., Lewandowsky, S., Kashima, Y., Perfors, A., Little, D. R., . . . Dennis, S. (2021). The acceptability and uptake of smartphone tracking for COVID-19 in Australia.. PloS one, 16(1), 1-23.
Scopus56 WoS41 Europe PMC362021 Gallagher, R. J., Frank, M. R., Mitchell, L., Schwartz, A. J., Reagan, A. J., Danforth, C. M., & Dodds, P. S. (2021). Generalized word shift graphs: a method for visualizing and explaining pairwise comparisons between texts. EPJ Data Science, 10(1), 1-29.
Scopus34 WoS222021 Zachreson, C., Mitchell, L., Lydeamore, M. J., Rebuli, N., Tomko, M., & Geard, N. (2021). Risk mapping for COVID-19 outbreaks in Australia using mobility data. Journal of the Royal Society Interface, 18(174), 1-11.
Scopus29 WoS24 Europe PMC262021 South, T., Roughan, M., & Mitchell, L. (2021). Popularity and centrality in Spotify networks: critical transitions in eigenvector centrality. Journal of Complex Networks, 8(6), 19 pages.
Scopus6 WoS22020 Toomes, A., Stringham, O. C., Mitchell, L., Ross, J., & Cassey, P. (2020). Australia's wish list of exotic pets: biosecurity and conservation implications of desired alien and illegal pet species. NEOBIOTA, 60(60), 43-59.
Scopus17 WoS122020 Liu, D., Mitchell, L., Cope, R. C., Carlson, S. J., & Ross, J. V. (2020). Elucidating user behaviours in a digital health surveillance system to correct prevalence estimates. Epidemics, 33, 1-7.
Scopus1 WoS1 Europe PMC12020 Quah, J., Dharmaprani, D., Lahiri, A., Schopp, M., Mitchell, L., Selvanayagam, J. B., . . . Ganesan, A. N. (2020). Prospective cross-sectional study using Poisson renewal theory to study phase singularity formation and destruction rates in atrial fibrillation (RENEWAL-AF): Study design. Journal of Arrhythmia, 36(4), 660-667.
Scopus4 WoS4 Europe PMC42020 Hossny, A. H., Mitchell, L., Lothian, N., & Osborne, G. (2020). Feature selection methods for event detection in Twitter: a text mining approach. Social Network Analysis and Mining, 10(1), 15 pages.
Scopus19 WoS132020 Pond, T., Magsarjav, S., South, T., Mitchell, L., & Bagrow, J. P. (2020). Complex contagion features without social reinforcement in a model of social information flow. Entropy, 22(3), 265-1-265--8.
Scopus11 WoS10 Europe PMC52020 Dharmaprani, D., Jenkins, E., Aguilar, M., Quah, J. X., Lahiri, A., Tiver, K., . . . Ganesan, A. N. (2020). M/M/infinity birth-death processes - a quantitative representational framework to summarize and explain phase singularity and wavelet dynamics in atrial fibrillation. Frontiers in Physiology, 11, 616866-1-616866-17.
Scopus13 WoS13 Europe PMC92020 Stringham, O. C., Toomes, A., Kanishka, A. M., Mitchell, L., Heinrich, S., Ross, J. V., & Cassey, P. (2020). A guide to using the Internet to monitor and quantify the wildlife trade.. Conserv Biol, 35(4), 1130-1139.
Scopus45 WoS33 Europe PMC112020 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.
Scopus14 WoS102020 Gray, C., Mitchell, L., & Roughan, M. (2020). Bayesian inference of network structure from information cascades. IEEE Transactions on Signal and Information Processing over Networks, 6, 371-381.
Scopus6 WoS62020 Roughan, M., Mitchell, L., & South, T. (2020). How the Avengers assemble: ecological modelling of effective cast sizes for movies. PLoS ONE, 15(2), e0223833-1-e0223833-31.
Scopus1 WoS62020 Stringham, O., Toomes, A., Kanishka, A., Mitchell, L., Heinrich, S., Ross, J., & Phill. (2020). A guide to using the Internet to monitor and quantify the wildlife trade.
2019 Dharmaprani, D., Schopp, M., Kuklik, P., Chapman, D., Lahiri, A., Dykes, L., . . . Ganesan, A. N. (2019). Renewal theory as a universal quantitative framework to characterize phase singularity regeneration in mammalian cardiac fibrillation. Circulation: Arrhythmia and Electrophysiology, 12(12), e007569.
Scopus29 WoS26 Europe PMC222019 Gray, C., Mitchell, L., & Roughan, M. (2019). Generating connected random graphs. Journal of Complex Networks, 7(6), 896-912.
Scopus4 WoS12019 Bagrow, J., Liu, X., & Mitchell, L. (2019). Information flow reveals prediction limits in online social activity. Nature Human Behaviour, 3(2), 122-128.
Scopus44 WoS36 Europe PMC82019 Glonek, M., Tuke, J., Mitchell, L., & Bean, N. (2019). Semi-supervised graph labelling reveals increasing partisanship in the United States Congress. Applied Network Science, 4(1), 62-1-62-18.
Scopus1 WoS12018 Cope, R., Ross, J., Chilver, M., Stocks, N., & Mitchell, L. (2018). Connecting surveillance and population-level influenza incidence.
Europe PMC12018 Venohr, M., Langhans, S. L., Peters, O., Holker, F., Arlinghaus, R., Mitchell, L., & Wolter, C. (2018). The underestimated dynamics and impacts of water-based recreational activities on freshwater ecosystems. Environmental Reviews, 26(2), 199-213.
Scopus54 WoS272018 Bagrow, J., & Mitchell, L. (2018). The quoter model: a paradigmatic model of the social flow of written information. Chaos, 28(7), 1-9.
Scopus7 WoS6 Europe PMC32018 Tiggemann, M., Churches, O., Mitchell, L., & Brown, Z. (2018). Tweeting weight loss: A comparison of #thinspiration and #fitspiration communities on Twitter. Body Image, 25, 133-138.
Scopus35 WoS32 Europe PMC122018 Bellsky, T., & Mitchell, L. (2018). A shadowing-based inflation scheme for ensemble data assimilation. Physica D: Nonlinear Phenomena, 380-381, 1-7.
Scopus1 WoS12018 Hossny, A. H., Moschuo, T., Osborne, G., Mitchell, L., & Lothian, N. (2018). Enhancing keyword correlation for event detection in social networks using SVD and k-means: Twitter case study. Social Network Analysis and Mining, 8(1), 1-10.
Scopus10 WoS42018 Cope, R., Ross, J., Chilver, M., Stocks, N., & Mitchell, L. (2018). Characterising seasonal influenza epidemiology using primary care surveillance data. PLoS Computational Biology, 14(8), 1006377-1-1006377-21.
Scopus15 WoS11 Europe PMC72017 Dodds, P., Dewhurst, D., Hazlehurst, F., Van Oort, C., Mitchell, L., Reagan, A., . . . Danforth, C. (2017). Simon's fundamental rich-get-richer model entails a dominant first-mover advantage. Physical Review E, 95(5), 7 pages.
Scopus9 WoS8 Europe PMC22017 Alajajian, S., Williams, J., Reagan, A., Alajajian, S., Frank, M., Mitchell, L., . . . Dodds, P. (2017). The Lexicocalorimeter: gauging public health through caloric input and output on social media. PLoS ONE, 12(2), e0168893-1-e0168893-25.
Scopus21 WoS18 Europe PMC52016 Dodds, P., Mitchell, L., Reagan, A., & Danforth, C. (2016). Tracking climate change through the spatiotemporal dynamics of the Teletherms, the statistically hottest and coldest days of the year. PLoS One, 11(5), e0154184-1-e0154184-20.
Scopus3 WoS32016 Kiley, D., Reagan, A., Mitchell, L., Danforth, C., & Dodds, P. (2016). Game story space of professional sports: Australian rules football. Physical Review E - Statistical, Nonlinear, and Soft Matter Physics, 93(5), 052314-1-052314-14.
Scopus13 WoS112016 Reagan, A., Mitchell, L., Kiley, D., Danforth, C., & Dodds, P. (2016). The emotional arcs of stories are dominated by six basic shapes. EPJ Data Science, 5(1), 31-1-31-12.
Scopus219 WoS1482016 Mitchell, L., & Ross, J. (2016). A data-driven model for influenza transmission incorporating media effects. Royal Society Open Science, 3(10), 160481-1-160481-10.
Scopus23 WoS19 Europe PMC72015 Dodds, P. S., Clark, E. M., Desu, S., Frank, M. R., Reagan, A. J., Williams, J. R., . . . Danforth, C. M. (2015). Reply to Garcia et al.: common mistakes in measuring frequency-dependent word characteristics. Proceedings of the National Academy of Sciences of the United States of America, 112(23), E2984-E2985.
Scopus6 WoS4 Europe PMC22015 Cody, E., Reagan, A., Mitchell, L., Dodds, P., & Danforth, C. (2015). Climate change sentiment on Twitter: an unsolicited public opinion poll. PLoS One, 10(8), e0136092-1-e0136092-18.
Scopus186 WoS139 Europe PMC282015 Dodds, P., Clark, E., Desu, S., Frank, M., Reagan, A., Williams, J., . . . Danforth, C. (2015). Human language reveals a universal positivity bias. Proceedings of the National Academy of Sciences of the United States of America, 112(8), 2389-2394.
Scopus237 WoS193 Europe PMC712014 Mitchell, L., & Carrassi, A. (2014). Accounting for model error due to unresolved scales within ensemble Kalman filtering. Quarterly Journal of the Royal Meteorological Society, 141(689), 1417-1428.
Scopus24 WoS222014 Frank, M., Mitchell, L., Dodds, P., & Danforth, C. (2014). Standing swells surveyed showing surprisingly stable solutions for the Lorenz '96 model. International Journal of Bifurcation and Chaos, 24(10), 1430027-1-1430027-14.
Scopus12 WoS112014 Bellsky, T., Berwald, J., & Mitchell, L. (2014). Nonglobal parameter estimation using local ensemble Kalman filtering. Monthly Weather Review, 142(6), 2150-2164.
Scopus13 WoS112013 Frank, M., Mitchell, L., Dodds, P., & Danforth, C. (2013). Happiness and the patterns of life: a study of geolocated tweets. Scientific Reports, 3(1), 2625-1-2625-9.
Scopus115 WoS90 Europe PMC222013 Mitchell, L., Frank, M., Harris, K., Dodds, P., & Danforth, C. (2013). The geography of happiness: connecting twitter sentiment and expression, demographics, and objective characteristics of place. PLoS One, 8(5), e64417-1-e64417-15.
Scopus341 WoS191 Europe PMC842013 Mitchell, L., & Gottwald, G. (2013). Controlling model error of underdamped forecast models in sparse observational networks using a variance-limiting Kalman filter. Quarterly Journal of the Royal Meteorological Society, 139(670), 212-225.
Scopus4 WoS32012 Mitchell, L., & Gottwald, G. (2012). On finite-size Lyapunov exponents in multiscale systems. Chaos, 22(2), 023115-1-023115-9.
Scopus7 WoS62012 Mitchell, L., & Gottwald, G. (2012). Data assimilation in slow-fast systems using homogenized climate models. Journal of the Atmospheric Sciences, 69(4), 1359-1377.
Scopus36 WoS342011 Gottwald, G., Mitchell, L., & Reich, S. (2011). Controlling overestimation of error covariance in ensemble Kalman filters with sparse observations: a variance-limiting Kalman filter. Monthly Weather Review, 139(8), 2650-2667.
Scopus12 WoS122011 Zhu, S., & Mitchell, L. (2011). Combined diffraction and radiation of ocean waves around an OWC device. Journal of Applied Mathematics and Computing, 36(1-2), 401-416.
Scopus10 WoS72009 Zhu, S. -P., & Mitchell, L. (2009). Diffraction of ocean waves around a hollow cylindrical shell structure. Wave Motion, 46(1), 78-88.
Scopus32 WoS26- Bala, I., Kelly, T. -L., Lim, R., Gillam, M. H., & Mitchell, L. (n.d.). An Effective Approach for Multiclass Classification of Adverse Events Using Machine Learning. Journal of Computational and Cognitive Engineering.
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Book Chapters
Year Citation 2017 Mitchell, L. (2017). How the internet knows if you’re happy or sad. In J. Watson (Ed.), The Conversation Yearbook 2017: standout articles from Australia's top thinkers. Melbourne, Australia: Melbourne University Press. -
Conference Papers
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Curated or Produced Public Exhibition or Events
Year Citation 2019 Mitchell, L. (2019). The Hedonometer exhibit (HEDONISM exhibition, MOD) (No. Of Pieces: 5 months) [Exhibition]. MOD (Museum of Discovery), Adelaide. -
Working Paper
Year Citation 2014 Frank, M. R., Williams, J. R., Mitchell, L., Bagrow, J. P., Dodds, P. S., & Danforth, C. M. (2014). Constructing a taxonomy of fine-grained human movement and activity
motifs through social media.2013 Bagrow, J. P., Desu, S., Frank, M. R., Manukyan, N., Mitchell, L., Reagan, A., . . . Bongard, J. C. (2013). Shadow networks: Discovering hidden nodes with models of information
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Internet Publications
Year Citation 2017 Mitchell, L. (2017). Explainer: how the internet knows if you’re happy or sad. The Conversation. 2016 McVernon, J., Ross, J. V., Glass, K., Mitchell, L., Geard, N., & Moss, R. (2016). Computing helps the study of infections on a global and local scale. 2016 Mitchell, L. (2016). How Twitter gives scientists a window into human happiness and health. The Conversation.
- ARC Discovery Project DP210103700: Mathematical modelling of information flow in social networks (with A/Prof Jim Bagrow and Prof. Matthew Roughan) ($390,000 over 3 years)
- NHMRC Ideas Grant 2002589: Improving the safety of implantable medical devices (with Dr. Marianne Gillam, Dr. Marie-Therese Kelly, Dr. Renly Lim and Dr. Tyman Stanford) ($775,924 over 3 years)
- ARC Centre of Excellence for Mathematical and Statistical Frontiers (ACEMS) (Chief Investigator in 2021)
- Universities Australia-DAAD (Germany) Australia-Germany Joint Research Cooperation Scheme: Detection and classification of malicious virtual grassroots influence campaigns in social media (with F Neumann, M Nasim, D Weber, C Grimme, H Trautmann, D Assenmacher) ($24,000 over 2 years)
- Cyber Security CRC: Cyber-social-security during COVID-19: The social media reaction to COVIDSafe ($10,000 over 1 year)
- DST/University of Adelaide Research agreement: Modelling in the grey zone (with Prof D Stephens) ($175,000 over 1 year)
- Centre for Invasive Species Solutions: Understanding and intervening in illegal trade in non-native species (with Prof. Joshua Ross and A/Prof. Phill Cassey) ($665,000 over 3 years)
- Data to Decisions CRC Beat The News Project: Predicting common and novel disease outbreaks by assimilating open data into epidemiological models (with A/Prof. Joshua Ross and Prof. Nigel Bean) ($637,606 over 3 years)
- Data to Decisions CRC Beat The News Project: Predicting civil unrest and election outcomes using Bayesian network models (with Dr. Jonathan Tuke and Prof. Nigel Bean) ($661,261 over 3 years)
Courses
- APP MTH 4047 Mathematics of Artificial Intelligence (2022)
- APP MTH 3014 Optimisation III (2021-22)
- MATHS 7027 Mathematical Foundations of Data Science (2019-21)
- MATHS 1004 Mathematics for Data Science I (2019)
- APP MTH 3001 Applied Probability III (2018-19)
- MATHS 2102 Differential Equations II (2015-17)
- MATHS 2104 Numerical Methods II (2015-17)
- MBB Mathematics for Biostatistics (online) (2015)
- MATHS 1011 Mathematics 1A (algebra) (2014)
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Current Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2024 Co-Supervisor Using conformal prediction for language model uncertainty quantification and selective prediction Master of Philosophy Master Full Time Mr Peter Moskvichev 2024 Principal Supervisor Quantifying the onset of atrial fibrillation as a phase transition from synchrony into chaos Doctor of Philosophy Doctorate Full Time Mr Luke Phillip O'Loughlin 2024 Principal Supervisor Developing explainable AI methods for the financial sector Doctor of Philosophy Doctorate Full Time Mr Wenrui Zhang 2024 Principal Supervisor Quantifying Online Persuasibility: Analysis, Metrics Development, and Application in Digital Discourse Master of Philosophy Master Full Time Mr Gia Bao Hoang 2023 Co-Supervisor Analysis of users' behaviours in social networks using process mining techniques Master of Philosophy Master Full Time Mr Ethan Michael Johnson 2023 Co-Supervisor Using Twitter Posts to determine whether gender effects the sentiment of text. Master of Philosophy Master Full Time Mr Oska Tex Dubsky-Smith 2023 Principal Supervisor Applications of data science and artificial intelligence to support intellectual property development in the creative industries Doctor of Philosophy Doctorate Part Time Mr Anton Andreacchio 2023 Principal Supervisor Financial Causality Networks in Cryptocurrency Markets Doctor of Philosophy Doctorate Full Time Mr Cameron James Cornell 2022 Co-Supervisor Investigating information flow across multiple online social networks: a network science and information theory approach Doctor of Philosophy Doctorate Full Time Ms Sara Benedetti 2022 Principal Supervisor Analysis of the trends, topics and sentiments of Australian television captions. Master of Philosophy Master Full Time Miss Irulan Claire Prowse Murphy 2022 Principal Supervisor Identifying and preventing the coordinated spread of misinformation Doctor of Philosophy Doctorate Full Time Mr Scott James Carnie-Bronca 2021 Co-Supervisor Large-scale social media sentiment analysis as a predictor of public behaviour in Australia. Doctor of Philosophy Doctorate Part Time Miss Saranzaya Magsarjav 2020 Principal Supervisor Understanding Patient Experiences in Healthcare through Natural Langauge Processing Doctor of Philosophy Doctorate Full Time Mr Curtis William Murray -
Past Higher Degree by Research Supervision (University of Adelaide)
Date Role Research Topic Program Degree Type Student Load Student Name 2021 - 2023 Principal Supervisor Measuring and modelling information flows in real-world networks Master of Philosophy Master Full Time Miss Bridget Anna Smart 2021 - 2023 Principal Supervisor The Application of Social Media in Modern-Day Influence Campaigns: Personality Profiling and Information Warfare Master of Philosophy Master Full Time Mr Joshua Watt 2020 - 2023 Co-Supervisor Optimising Battery Replacement in a Fleet of Scooters Master of Philosophy Master Part Time Mr Joshua Thomas Price 2020 - 2022 Co-Supervisor Mathematics of Last-Mile Transportation Master of Philosophy Master Full Time Mr Scott James Carnie-Bronca 2019 - 2021 Co-Supervisor Lagrangian Coherent Data Assimilation for Chaotic Geophysical Systems Master of Philosophy Master Full Time Ms Rose Joy Crocker 2019 - 2021 Principal Supervisor Non-parametric Information Flow Estimation in Social-Media News Master of Philosophy Master Full Time Mr Tobin Max South 2019 - 2021 Co-Supervisor Carmen et Standard Error: Computational Methods in Stylometry for Classical Latin Poetry Master of Philosophy Master Full Time Mr Benjamin Charles Nagy 2018 - 2022 Co-Supervisor Analysing Dynamics of the Illegal Wildlife Trade in Australia Doctor of Philosophy Doctorate Full Time Mr Adam Toomes 2018 - 2020 Principal Supervisor Analysis of World War One Diaries using Natural Language Processing Master of Philosophy Master Full Time Miss Ashley Grace Dennis-Henderson 2018 - 2023 Co-Supervisor Data Science and Usefulness in Domains of Human Action Master of Philosophy Master Part Time Mr Anton Andreacchio 2017 - 2019 Co-Supervisor The One with the Social Network Analysis: The Extraction, Analysis and Modelling of Temporal Social Networks from Narratives Master of Philosophy Master Full Time Miss Michelle Claire Edwards 2017 - 2021 Co-Supervisor Mathematical and Statistical Models of Human Behaviour in Digital Epidemiology Doctor of Philosophy Doctorate Full Time Mr Dennis Liu 2017 - 2019 Co-Supervisor Using Approximate Bayesian Computation and Machine Learning Model Selection Techniques to Understand the Impact of Climate on Seasonal Influenza-like Illness in Australia Master of Philosophy Master Full Time Miss Jessica Penfold 2017 - 2020 Co-Supervisor On the application of Bayesian inference to network estimation problems Doctor of Philosophy Doctorate Full Time Miss Caitlin Miranda Gray 2016 - 2019 Co-Supervisor Characterising the Social Media Temporal Response to External Events Doctor of Philosophy Doctorate Full Time Mr Peter Mathews 2016 - 2018 Co-Supervisor A methodology for predictive topic modelling; or, any excuse to watch Love Actually Master of Philosophy Master Full Time Miss Vanessa Grace Glenny -
Other Supervision Activities
Date Role Research Topic Location Program Supervision Type Student Load Student Name 2018 - 2018 Principal Supervisor Network analysis of communication on Twitter University of Adelaide - Honours - Declan Jamieson 2018 - 2018 Principal Supervisor Analysis of balance in signed social networks from movies University of Adelaide - Honours - Saranzaya (Saka) Magsarjev 2017 - 2019 Co-Supervisor Prediction using emotional arcs in movies University of Adelaide - Honours Part Time Luke Pickering 2016 - 2018 Co-Supervisor Prediction of civil unrest events using Poisson and Hawkes models University of Adelaide - Honours - Wendy Li 2016 - 2016 Principal Supervisor Information cascades on random networks University of Adelaide - Honours - Caitlin Gray
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Committee Memberships
Date Role Committee Institution Country 2017 - ongoing Member School of Mathematical Sciences Outreach Committee - - -
Memberships
Date Role Membership Country 2014 - ongoing Member Australian Mathematical Society Australia
Connect With Me
External Profiles