Research
Journal Publications (Published, Accepted, and Under Review)
Some Collaborators
6. Azam Asanjarani, Aminath Shausan, Keng Chew, Thomas Graham, Shane G. Henderson, Hermanus M. Jansen, Kirsty R. Short, Peter G. Taylor, Aapeli Vuorinen, Yuvraj Yadav, IIze Ziedins, Yoni Nazarathy. Emulation of epidemics via Bluetooth-based virtual safe virus spread: experimental setup, software, and data. Accepted in May 2022, to appear in PLOS Digital Health. [medRXive Preprint]
5. Nicola L. Bragazzi1, Woldegebriel A. Woldegerima, Sarafa A. Iyaniwura, Qing Han, Aminath Shausan, Kingsley Badu, Patrick Okwen, Cheryl Prescod, Michelle Westin, Andrew Omame, Manlio Converti, Bruce Mellado, Jianhong Wu, Jude Kong. Knowing the unknown: the underestimation of monkeypox cases. Insights and implications from an integrative review of the literature, 2022. Frontiers in Microbiology, 2022, 13. [Published Version]
4. Nicola Luigi Bragazzi, Qing Han, Sarafa Adewale Iyaniwura, Andrew Omame, Aminath Shausan, Xiaoying Wang, Woldegebriel Assefa Woldegerima, Jianhong Wu, Jude Dzevela Kong. Adaptive changes in sexual behavior in the high-risk population in response to human monkeypox transmission in Canada can control the outbreak: insights from a two-group, two-route epidemic model. Submitted Journal of Medical Virology in August 2022 and under revision. [SSRN Preprint]
3. Ajay Hemanth Sampath Kumar, Aminath Shausan, Gianluca Demartini and Afshin Rahimi. Automatic Identification of 5C Vaccine Behaviour on Social Media. Accepted in September 2022, to appear in COLIN 2022.
2. Aminath Shausan, and Aapeli Vuorinen. Evolution of topics in the past ninety-nine volumes of QUESTA: a data science approach. Under revision since June 2022, to appear in Queueing Systems: Theory and Applications.
1. R. McVinish, P.K. Pollett, A. Shausan. Limiting the spread of disease through altered migration patterns. Journal of Theoretical Biology, 2016, 393, 60-66. [Published Version]
Submitted Papers
Ebby Thomas, Aminath Shausan, Hayden Klok, Yoni Nazarathy, Rahul Sharma. Towards Energy Profiling of Residential Customers Using Big Data. Submitted to Energy - The International Journal in July 2022.
Aminath Shausan, Christopher Drovandi, Kerrie Mengersen. Minimizing severity of dengue serotype 1 infection by transmissible interfering particles. Submitted to iScience in April 2022. [SSRN Preprint]
Talks
Minimizing severity of dengue serotype 1 infection by transmissible interfering particles. 5th Southern Cross Travel Medicine Conference (SCTMC) 2022, Brisbane Australia
Automatic Identification of 5C Vaccine Behaviour on Social Media. The International Conference on Computational Linguistics (COLING) 2022, Gyeongiu, Republic of Korea
Virtual disease prediction from Safe Blues. UQ-SPH Academic conference 2022, Brisbane, Australia
Emulation of epidemics via Bluetooth based virtual safe virus spread: experimental setup, and some insights from data. Queensland branch of Australian and New Zealand Industrial and Applied Mathematics (QANZIAM) 2021, Brisbane, Australia
Safe Blues: Emulation of epidemics via virtual safe virus-like tokens. UQ-AI Workshop Day, 2021, Brisbane, Australia. [second prize, poster]
Within-host dengue modeling. QUT-ACEMS Node planning day, Brisbane, Australia
Minimizing severity of dengue serotype 1 infection by transmissible interfering particles. Bayes on the Beach (BoB) 2019, Gold Coast, Australia. [slides]
Minimizing severity of dengue serotype 1 infection by transmissible interfering particles. Young Statistician Conference (YSC) 219, Canberra, Australia
Spread of an SIS epidemic on a network. Australia New Zealand Applied Probability Workshop (ANZAPW) 2013, Brisbane, Australia. [slides]
Spread of an SIS epidemic on a network. QANZIAM 2012, Sunshine Coast, Australia [best student talk prize, [slides]
Spread of an SIS epidemic on a network. Statistical Methods for Infectious Diseases (SMID) Conference. Milton Keynes, UK. [poster]
Supervision
Generating precise architectural building structure from LiDAR data (industry research project - Volting), 2022. With Aditya Anchan
Analysis of Covid-19 episodes (academic research project – AI4PAN), 2022. With Thomas Graham
Predicting vaccination behaviour from Twitter data (academic research project – AI4PAN), 2022. With Ajay Hemanth Kumar
The use of Twitter data to investigate public perceptions of Covid-19 vaccination in Australia (undergraduate research project - ID-NET), 2022. With Dorothy Claire Espinosa
Digital health initiative for intimate partner violence (IPV) among youth on social media: a narrative review & descriptive study (academic research project – ID-NET), 2022. With Alexa Dakiniewich
Safe Blues data visualization, 2021. With Yuvraj Yadav
Other Activities
Coordinator and hosts of the AI4PAN seminar series at UQ. See YouTube channel of the talks
School outreach presentation: Mathematical modeling and virtual epidemics. Brisbane State High, 2022, Brisbane, Australia
Podcast: The Random Sample: Episode 59 (Experiment in Lockdown), 2021; with Prof. Peter Taylor and Dr Azam Asanjarani
Conference organization: UQ-SPH Academic conference 2022, BoB 2019, MODSIM 2013
Conference volunteering: SCTMC 2022, ANZAPW 2013
Workshop initiator, developer and presenter of the BRAG Stan workshop, 2019, QUT, Australia
Game initiator, and presenter: The Big Bite - Mosquito Virality Game. QUT, 2019, Australia
Journal reviewer: Patterns, Frontiers, Epidemiology and Infection
School outreach presentation: The Big Bite - Mosquito Virality Game. Ironside State School, 2019, Brisbane Australia