Charles Sturt University
Charles Sturt University

Projects, Activities and News

Members projects (since 2020):

2024

  • Rahman, G., Bewong, M. and Rehman, S. (2024). Predicting exploits of cyber vulnerabilities in high-dimensional and class-imbalanced datasets. DSERU Grant, $3,000.
  • Rahman, A. and Rahman, G. (2024). Modelling algal blooms under varied climatic conditions using historical data-driven approaches in Australia: A pilot study. DSERU Grant, $6,000.
  • Rahman, G., Dahshan, M., Rehman, S. Debnath, T. and Khokhar, R. (2024). Investigating machine learning methods for detecting early dementia. Tri-Faculty CSU Grant, $5,000.
  • Asaduzzaman, M. (2024). Biology, ecology and management of tropical soda apple, NSW Government Grant, $16,000.
  • Asaduzzaman, M. (2024). Classify herbicide resistant and susceptible weed phenotypes through Artificial Intelligence: Towards Autonomous Resistance detection in weeds, Tri-faculty CSU Grant, $5,000.
  • Asaduzzaman, M. (2024).  For advancing skills in machine learning methods to explore plant-plant interactions within legume pastures. Tri-faculty CSU Grant, $1,500.
  • Asaduzzaman, M. (2024). Role of sheep grazing to manage Feathertop Rhodes grass in NSW. Gulbali Institute Grant, $2,400.
  • Islam, R., Allan, C. and Islam, Z. (2024). Agricultural social benchmarking surveys - Part 3. Cyber Security CRC Grant, $421,000.
  • Kabir. A. (2024). Artificial intelligence-guided personalized medical and assistive device prescription for improving clinical outcomes and adherence. National Industry PhD grant – Department of Education, $118,240.

2023

  • Morrison, D.M., Rahman, A., McKinley, C.A., Ferrill, K.J., Whitten, T. and Bailey, L.K. (2023). Identification and evaluation of potential civil enforcement options. Department of Communities and Justice Grant, $134,549.
  • McGrath, S.  Swain, D., Swain, W., Kabir, A., Hossain, A. and Zheng, L. (2023). Breaking down barriers for cattle producers to access business value from their data. Meat and Livestock Australia Donor Company (MDC) - Research Grant, $150,000.
  • Shawn, M., Harris, F., Storer, C., Kabir, A., Hely, S., Medway, J., Fear, D., Aves, C., Chappell, S., Lea, E., McCormick, J., Bond, J., Horta, A., Haque, S. and Cassidy, C., (2023). Long-term trials of drought resilient farming practices. Department of Agriculture, Fisheries and Forestry Grant, $6,229,926.
  • Kabir, A. (2023). Analyzing diabetic patient data for the development of a clinical decision support system. AICF Seed Grant, $10,000.
  • Osuagwu, L., Podubinski, T., Glenister, K., Ferdous, H. and Kabir, A. (2023). The use of virtual reality technology in building the rural health workforce, RHRI Grant, $50,000.
  • Rahman, G., and Rehman, S. and Fealy, S. (2023). Investigating non-intrusive technology for real-time abnormality detection in elderly behavioral patterns. Artificial Intelligence and Cyber Futures (AICF) Institute Grant, $10,000.
  • Haque, S., and McCormick, J. (2023). Impact of solar panels on growth of pastures in southern NSW. Spark Renewables - Contract Research Grant, $88,000.
  • Rahman, G., Rehman, S., Dahshan, M., Debnath, T. and Khokhar, R. (2023). Detecting unusual behaviour of older adults through a semi-automatic incremental learning system. DSERU Grant, $5000.
  • Islam, R., Mamun, Q. and Islam, Z. (2023). A lightweight adaptive adversarial attack-resistant IDS. Connectivity Innovation Network (CIN) PhD scholarship Grant, $105,000.

2022

  • Rahman, A., Ip, R., Bewong, M., Cassidy, C.A. and Islam, M.Z. (2022). Sharing early insights for more resilient communities. Australian Government Department of Agriculture, Water and the Environment Grant, $609,283.
  • Rahman, A. (2022). An exploitation of remote sensing CMEMS products for monitoring of transitional and coastal waters. Environmental Protection Agency, Ireland, Grant, $559,901.
  • Harris, A.J.F., Rehman, S., Islam, M.Z., Rahman, A., Blanchard, L.C., Porker, K. and Hunt, J. (2022). Synthesis of data to optimise yield potential of barley in Australian farming systems. Grains Research and Development Corporation (GRDC) Grant, $750,307.
  • Wang, L., Alejandro, F., Robinson, N., Naidu, R., Doyle, R., Breadmore, M. and Kabir, A. (2022). Rapid field-based soil measurement approach using an integrated smartphone system. Soil CRC Grant, $407,924.
  • Zheng, L. and Kabir, A. (2022) Trakka cattle ID scholarship. Food Agility CRC Grant, $105,000.
  • Shawn, M., Kabir, A., Zheng, L. and Medway, J. (2021). Breaking down barriers for cattle producers to access business value from their data. Meat and Livestock Australia Donor Company Grant, $150,000.
  • Rehman, S., Islam, Z. and Blanchard, C. (2022). Wheat quality classification – an exploratory study. Data Science Research Unit Grant, $10,000.
  • Islam, R., Mahboubi, A., Bewong, M., Morrison, M., Islam, Z., Dwivedi, A., Haq, A., Lewis, C., Khan, A., Ip, R., Nayeem, T., Small, F., Medway, J., Pawsey, N., Blanchard, C., Rehman, S. and Al-Saggaf, Y. (2022). SCATES: Securing critical agriculture technology and emerging solutions. Cyber Security CRC Grant, $1.4 million.
  • Islam, R., Islam, Z., McGrath, S. and Lamb, D. (2022). Understanding the relationship between individual and mob-based animal performance metrics derived from autonomous livestock monitoring sources. Food Agility CRCPhD Scholarship Grant, $135,000.
  • Islam, R., Ip, R., Mahboubi, A., Bewong, M. and Islam, Z. (2022). Sharing cybersecurity data for Australian research (SCReeD). Cyber Security CRC Grant, $500,000.
  • Mahboubi, A., Islam, Z., Islam, R., Bewong, M. and Medway, J. (2022). Agriculture cybersecurity asset management. Cyber Security CRC Grant, $630,000.

2021

  • Kabir, A., Paul, M., Zheng, L. and Rehman, S. (2021). Development of a grower-focused mobile app for estimation, analysing and recording soil properties. Soil CRC Grant, $121,000.
  • Shawn, M., Kabir, A., Zheng, L., Medway, J. and Bentley, T. (2020). FA071: Trakka – making data flow. Food Agility CRC Grant, $348,100.
  • Weston, L., Gurusinghe, S., and Haque, S. (2021). Smart farms small grants -building resilient soils in the Riverina Region of NSW. Department of Ag, Water and Env - National Landcare Program: Smart Farms Small Grant, $250,000.
  • Waters, D., Islam, Z., Blanchard, C., Rehman, S. and Schmidtke, L. (2021). Enhancing provenance and prediction for whole grain rice quality. Food Agility CRC and SunRice, Rice Research Australia Pty Ltd and Agrifutures Australia Grant, $608,000.
  • Friend, M., Weston, W., Gurr, G., Dehaan, R., Frew, A., Raman, A., Eberbach, P. Schmidtke, L. and Haque, S. (2021).  Dung beetle ecosystem engineers - enduring benefits for livestock producers via science and a new community partnership model. Department of Ag, Water Investigator and Environment - Research Grant, $12.9 million.
  • Islam, Z., Rehman, S. and Mahboubi, A. (2021). Readiness of the Australian healthcare sector in adopting privacy preserving data sharing tools and techniques. Cyber Security CRC Grant, $10,700.
  • Rehman, S., Islam, Z. and Howarth, J. (2021). Data analytics in healthcare. Data Science Research Unit Grant and Mid-North Coast Local Health District Grant, $7,500.
  • Islam, R., Islam, Z. and Bhattacharya, M. (2021). Protecting sensitive data leakage in hyper-connected networks. Cyber Security CRC Grant, $10,700.

2020

  • Swain, D., Swain, W., Medway, J., Zheng, L., Kabir, A., McGrath, S., Habib, M. and Dulal, R. (2020). Livestock micro service framework. Food Agility CRC Grant, $374,500.
  • Rahman, A. (2020). Health modelling with big data from Southeast Asia. Australian Government Department of Education Grant, $5,000.
  • Kabir, A. (2020). Investigating the viability of developing foot ulcer measurement applications for smartphones. Foot Balance Technology Pty Ltd Grant, $16,297
  • Burmeister, O., Rehman, S., Ulhaq, A., Roberts, R., Poulsen, A. and Greig, J. (2020). Technology for homes. Mid Coast Assist Grant, $20,000.

Current students’ projects:

PhD

  • Mehedi Tajrian. Analysing child developments myths and facts using data science techniques. Supervisors: Azizur Rahman, Ashad Kabir & Rafiqul Islam.
  • Ehtisham Ferdous. Real-time misbehaviour detection in software-defined networks using artificial intelligence. Supervisors: Zahid Islam, Sabih Rehman, Gea Rahman & Adnan Mahmood.
  • Kunal Kumar. Artificial intelligence-guided personalized medical and assistive device prescription for improving clinical outcomes and adherence. Supervisors: Ashad Kabir, Luke Donnan & Sayed Ahmed.
  • Jennifer Hayes. Shaping the future of multidimensional project management in the retail industry using statistical and big-data theories. Supervisors: Azizur Rahman & Champake Mendis.
  • Mahir Habib. A Microservice-based framework for sharing livestock event information. Supervisors: Ashad Kabir & Lihong Zheng.
  • Anne Chidgey. Accelerating the value of AIOps to server support in a managed services provider: A mixed methods, case study. Supervisors: Ashad Kabir & Azizur Rahman.
  • Kazi Kamal. Securing operational technology using blockchain. Supervisors: Md Rafiqul Islam & Azizur Rahman
  • Nur E Jannat Amee. Artificial intelligence-based optimization model for mitigating the maternal health risk factors in Bangladesh. Supervisors: Ashad Kabir, Mohmmad Ali Moni & S.M. Manzoor Ahmed Hanifi.
  • Dylan Warman. Ensuring user data security through a zero-knowledge proof based modern decentralised blockchain data storage system. Supervisors: David Tien & Ashad Kabir.
  • Rabin Dulal. Efficient cattle identification through active learning. Supervisors: Lihong Zheng & Ashad Kabir.
  • Abdullah Al Mahmud. Artificial intelligence and digital health. Supervisors: Mohammad Ali Moni & Ashad Kabir.
  • Jennifer Biney. Bring your own device (BYOD): Adoption, security implications, and policy design. The cases of the privately owned internet service providers and higher education institutions in Ghana. Supervisors: Yeslam Al-Saggaf & Gea Rahman.
  • Danny Falero. Development of continual machine learning approaches. Supervisors: Gea Rahman & Ashad Kabir.
  • Wenfeng jia. Multi-source data fusion and deep learning for 3D flood mapping. Supervisors: Lihong Zheng, Bin Liang (UTS) & M. Arif Khan.
  • Michael O'Conroy. Benefit analysis of intelligent process automation (IPA) and human labour arbitrage within IT-business processing outsourcing (IT-BPO). Supervisors: Lihong Zheng & M. Arif Khan.
  • Rabin Dulal. Cattle identification with advanced machine learning. Supervisors: Lihong Zheng & Ashad Kabir
  • Mahir Habib. Using microservice-based architecture framework for sharing livestock event information. Supervisors: Ashad Kabir & Lihong Zheng.
  • Junjie Wang. AI-driven SD-WAN path optimization: Hybrid cloud data centre global network interoperability. Supervisors: Lihong Zheng & Michael Bewong.
  • Khokan Saha. Food authentication using direct mass spectrometry and machine learning technique. Supervisors: Lihong Zheng, Leigh Schmidtke, Xiaodi Huang & Andrew Clark.
  • Mariam Khanam. Rhizospheric microbial diversity in salt-impacted soil and options for improving soil health with organic amendments. Supervisors: Shamsul Haque, Jeff McCormick & Jason Condon.
  • Belal Hossain. Characterization of climatic variabilities, modelling the climate change impact on crop production and evaluation of adaptation strategies. Supervisors: Ketema Zeleke, Shamsul Haque, De Li Liu, & Bin Wang.
  • Oli Ahmed Fakir. Effect of commercial biostimulants on growth and yield of wheat. Supervisors: Leslie Weston, Nirodha Weeraratne, Shamsul Haque, Russ Barrow & Joanne Ashnest.
  • Jaini Fakhruddin. A performance study on nano biochar-based slow-release fertiliser from oil palm empty fruit brunches to water use efficiency in rice. Supervisors: Shamsul Haque, Jeff McCormick, Jason Condon & Brooke Kaveney.
  • Md Shoriful Islam. Ecology, phenology, distribution modelling and risks mapping of Sticky Nightshade (Solanum sisymbriifolium Lam). Supervisors: John Broster, Hanwen Wu & Md Asaduzzaman.

Masters

  • Mahesh Chaudury. Classification of herbicide resistant annual ryegrass through machine learning. Supervisor: Md Asaduzzaman.
  • Paras Ghimire. Advancing plant-interaction though machine learning. Supervisor: Md Asaduzzaman.
  • Sayed Zaidi. Deconstructing and restyling SVG charts using large language models. York University, Canada. Supervisors: Enamul Hoque & Ashad Kabir.

Honours

  • Nizar Al-Shraideh. An investigation of LLM-based topic evolution in social media. Supervisors: Michael Bewong, Selasi Kwashie & Gea Rahman.
  • Martin Nguyen. Evidence-based clinical decision support system to assist in prescribing offloading devices for the prevention and management of plantar hallux. Supervisors: Ashad Kabir & Sayed Ahmed.
  • Kris Simpson. Avoiding the void: Can prompt engineering enhance the human to artificial intelligence experience with ChatGPT. Supervisor: Ashad Kabir.
  • Peter Smith. Exploring the applications of large language models in software engineering. Supervisor: Ashad Kabir.
  • Ethan Hastings. Investigating the application of large language models (LLMs) for interpreting engineering drawings. Supervisors: Nariman Saeed & Ashad Kabir.
  • Declan Rickard. Machine learning approaches for distinguishing viral and bacterial pneumonia in Children: A scoping review. UNSW School of Medicine. Supervisors: Nusrat Homaira & Ashad Kabir.
  • Suwetha Radhakrishnan. Artificial intelligence in medicine. UNSW School of Medicine. Supervisors: Nusrat Homaira & Ashad Kabir.
  • Sean Branden Khan. Artificial intelligence in medicine. UNSW School of Medicine. Supervisors: Nusrat Homaira & Ashad Kabir.
  • Abdhul Majeed. Artificial intelligence in medicine. UNSW School of Medicine. Supervisors: Nusrat Homaira & Ashad Kabir.
  • Sarah Fraser. Optimal biochar rate for nitrogen fixation in Cowpea species. Supervisors: Jason Condon, Shamsul Haque & Brooke Kaveney.

Activities and news:

  • Activities
  • News

Activities since 2022

  • Azizur Rahman: Invited talk on “Developing hybrid modelling tools for policy analysis" to the 23rd International Mathematics Conference (IMC) at the University Rajshahi, Bangladesh (May 16 – 17, 2024).
  • Ashad Kabir: Attended Oxford Artificial Intelligence Summit on AGI at the University of Oxford, UK (May 24-25, 2024)
  • Ashad Kabir: Invited talk at York University, Canada (June 2, 2024).
  • Ashad Kabir: Invited talk at Athabasca University, Canada (June 4, 2024).
  • Gea Rahman: ABC Mid North Coast: pre-record phone interview at 2.30pm on Wednesday 21 August (August 21, 2024).
  • Gea Rahman: ABC Goulburn-Murray: live-to-air phone interview at 8.35am on Thursday 22 August (August 22, 2024).
  • Gea Rahman: National Radio News (NRN): pre-record phone interview 1:20pm on Thursday 22 August (August 22, 2024).
  • Gea Rahman: 2BS (Bathurst) live-to-air phone interview at 2.20pm on Monday 26 August (August 26, 2024).
  • Azizur Rahman: Hosting an international academic visitor (Dr Md Zobaer Hasan) from Malaysia. (March 13 – April 14, 2023).
  • Ashad Kabir: Invited talk at the University of the South Pacific, Fiji (December 7, 2023).
  • Ashad Kabir: Keynote in a seminar on ‘Usage of Artificial Intelligence in Livestock Production’ held at the Sher-e-Bangla Agricultural University, Dhaka, Bangladesh (December 22, 2022).
  • Ashad Kabir: Invited talk at the International Conference on Recent Progress in Science Engineering and Technology, Rajshahi, Bangladesh (December 26-27, 2022).

News

.

Archive