Data Science Lab

Macquarie University, Sydney, Australia


Our mission is to significantly improve people's lives through our work in
Data Science, Predictive Analytics and Big Data!


Data Science Research Lab is funded by the Centre for Applied Artificial Intelligence at Macquarie University.

Projects


People


Past Members


  1. Dr. Nabi Rezvani, PhD Student, Graduated 2024, Thesis Title: "Towards Contextualised Deep Learning Based Cyberbullying Detection", Supervisors: Amin Beheshti.
  2. Dr. Fariba Lotfi, PhD Student, Graduated 2024, Thesis Title: "Enhancing Image Annotation Through Data Storytelling and Contextualization", Supervisors: Amin Beheshti, Mansour Jamzad, Hamid Beigy.
    Awarded: AI Centre's 2023 Excelence in Industry-Engaged Research.
  3. Dr. Mahdieh Labani, PhD Student, Graduated 2024, Thesis Title: "Linking Artificial Intelligence and Medical Data to Revolutionize Targeted Therapy", Supervisors: Amin Beheshti, Tracey O'Brien.
    Awarded: Google PhD Fellowahip 2023, AI Centre's 2023 PhD Rising Star Award, School of Computing's 2023 PhD Rising Star Award, AI Centre's 2022 Excellence in Research and Innovation.
  4. Dr. Helia Farhood, Postdoctoral Research Fellow, 2021-2023, Project Title: " Intelligent Educational Knowledge Lake", Supervisor: Amin Beheshti.
    Awarded: AI Centre's 2023 Excellence in Postgraduate Research Supervision.
  5. Alireza Shammasi, MRes Student, Graduated 2023, Thesis Title: "Enhancing Data Imputation with Generative AI: Transforming Time Series through Image Processing", Supervisor: Amin Beheshti.
    Awarded: Executive Dean’s Commendation for Academic Excellence 2023, AI Centre's 2023 MRes Rising Star Award.
  6. Dr. Haolong Xiang, PhD Student, Graduated 2023, Thesis Title: "Isolation Forest Based Anomaly Detection with Learning to Hash", Supervisor: Xuyun Zhang.
    Awarded: AI Centre's 2023 Excellence in Research and Innovation.
  7. Anthony Shaw, MRes Student, Graduated 2023, Thesis Title: "Towards Evaluating Python as a Suitable Data Science Programming Language for Modern Computing Architecture", Supervisor: Amin Beheshti.
  8. Kelley Yohe, MRes Student, Graduated 2023, Thesis Title: "Towards Global, Socio-economic and Culturally Aware Recommender Systems", Supervisor: Amin Beheshti.
  9. Dr. Francesco Schiliro, PhD Student, Graduated 2023, Thesis Title: "Privacy and Security of Cognitive Augmentation in Policing", Supervisors: Amin Beheshti, Nour Mustafa, Michael Sheng.
    Awarded: AI Centre's 2019 Research and Innovation Award.
  10. Matine Poushide, MRes Student, Graduated 2023, Thesis Title: "A Novel Active Solution for Two Dimensional Face Presentation Attack Detection", Supervisors: Amin Beheshti, ‪Helia Farhood.
    Awarded: AI Centre's 2022 Excellence in Industry-Engaged Research.
  11. Sahar Moraadi, MRes Student, Graduated 2022, Thesis Title: "Intent Recognition in Conversational Recommender Systems", Supervisors: Amin Beheshti, ‪Mehrdad Zakershahrak.
  12. Ivan Bakhshayeshi, MRes Student, Graduated 2022, Thesis Title: "Artificial Intelligence-enabled Livestock Recognition in Transport", Supervisors: Mohsen Asadnia, Amin Beheshti.
  13. Maryam Shahabikargar, MRes Student, Graduated 2022, Thesis Title: "Towards Knowledge-based Mining of Mental Disorder Patterns from Textual Data", Supervisor: Amin Beheshti.
  14. Cathy HE, MRes Student, Graduated 2022, Thesis Title: "Protecting Vehicular and Ad Hoc Networks from Advanced Persistent Threats", Supervisor: Alireza Jolfaei.
  15. Dr. Alireza Jolfaei, Academic, Lab Member 2021-2022, Senior Lecturer.
  16. Nasrin Shabani, MRes Student, Graduated 2022, Thesis Title: "Towards Mining Creative Thinking Patterns from Educational Data", Supervisor: Amin Beheshti; Associate Supervisor: Helia Farhood.
  17. Ambreen Hanif, MRes Student, Graduated 2022, Thesis Title: "Towards Explainable Artificial Intelligence in Banking and Financial Services", Supervisors: Supervisor: Amin Beheshti; Associate Supervisor: Xuyun Zhang.
  18. Dr. Fariborz Sobnmanesh, Research Data Scientist, 2019-2021, Project Title: "AI-enabled Industry: Challenges and Opportunity Study", Supervisor: Amin Beheshti.
  19. Dr. Shuang Wang, Postdoctoral Research Fellow, 2021, Project Title: "Linking Cognitive Technology and Sensory Systems to Support Personalized Learning", Supervisor: Amin Beheshti.
  20. Dr. Samira Ghodratnama, Ph.D. Student, Graduated 2021, Thesis Title: "Towards Personalised and Human-in-the-Loop Document Summarisation", Supervisor: Amin Beheshti.
    Awarded: Vice-Chancellor’s 2021 Commendation for Academic Excellence, AI Centre's 2019 Research and Innovation Award.
  21. Tara Rouhollahi, MRes Student, Graduated 2021, Thesis Title: "Towards Artificial Intelligence Enabled Financial Crime Detection", Supervisor: Amin Beheshti.
  22. Amin Edrisi, MRes Student, Graduated 2021, Thesis Title: "Towards Dynamic Feature Selection with Attention to Assist Banking Customers in Establishing a New Business", Supervisor: Amin Beheshti.
  23. Nouna Khandan, MRes Student, Graduated 2021, Thesis Title: "An Intelligent Hybrid Model for Identity Document Classification", Supervisor: Amin Beheshti.
  24. Dr. Shahpar Yakhchi, Ph.D. Student, Graduated 2021, Thesis Title: "Learning Complex Users' Preferences for Recommender Systems", Supervisor: Amin Beheshti.
    Awarded: AI Centre's 2019 Research and Innovation Award.
  25. Salman Mousaeirad, MRes Student, Graduated 2021, Thesis Title: "Intelligent Vector Based Customer Segmentation in the Banking Industry", Supervisor: Amin Beheshti.
  26. Dr. Alireza Bordbar, Ph.D. Student and Research Fellow, 2020, Thesis Title: "Augmented Understanding and Automated Adaptation of Curation Rules", Supervisor: Amin Beheshti.
  27. Sam Khadivizand, MRes Student, Graduated 2020, Thesis Title: "Towards Intelligent Risk-based Customer Segmentation in Banking", Supervisor: Amin Beheshti.
  28. Dr. Mohssen Ghafari, Ph.D. Student and Research Fellow, Graduated 2020, Thesis Title: "Towards Time-Aware Context-Aware Deep Trust Prediction in Online Social Networks", Supervisor: Amin Beheshti.
    Awarded: AI Centre's 2018 Research and Innovation Award.
  29. Usman Shahbaz, MRes Student, Graduated 2020, Thesis Title: "Towards Automating the Recruitment Process", Supervisor: Amin Beheshti.
  30. Farhad Amouzgar, MRes Student, Graduated 2020, Thesis Title: "Deep Reinforcement Learning As Text Generator In Image Captioning", Supervisors: Amin Beheshti & Mark Dras.
  31. Frank Schiliro, MRes Student, Graduated 2020, Thesis Title: "Internet of Things Enabled Policing Processes", Supervisor: Amin Beheshti.
  32. Vahid Moraveji, MRes Student, Graduated 2020, Thesis Title: "Social influence and radicalization: a social data analytics study", Supervisor: Amin Beheshti.
  33. Dr. Nikzad B.Rizvandi, Visiting Fellow, 2019, Project Title: "Price optimisation using deep reinforcement learning", Supervisor: Amin Beheshti.
  34. Dr. Mehregan Mahdavi, Visiting Fellow, 2019, Project Title: "iRecruit: Towards Automating the Recruitment Process", Supervisor: Amin Beheshti.
  35. Dr. Negin Hesam-Shariati, Research Fellow, 2019, Project Title: "Linking Cognitive Science and Data Science", Supervisor: Amin Beheshti.
  36. Dr. Sami Ghodratnama, Research Fellow, 2019, Project Title: "Storytelling with Image Data", Supervisor: Amin Beheshti.


Lab Performance:

Prospective Students


Here are some values that we would like to see in you:

- Skills: You should have either a strong software engineering background or a strong ML/AI background.
- Hard work: We expect you to have a strong work ethic.
- Flexibility: You should be willing to dive into different facets of a project.
- Learning: You should have a strong growth mindset, and want to learn continuously.
- Teamwork: You are expected to support and collaborate with others.

Contact Us



If you're looking to partner or volunteer with us, contact us at:


ai@mq.edu.au

iLife

Contact us to learn more about this project!

Organizations: We are looking for Indusry Partners!

Research Students: We are looking for motivated students!
Values that we would like to see in you: have a strong ML/AI/Software-Engineering background, strong work ethic, willing to dive into different facets of a project, learn continuously, and support and collaborate with others.

Undergraduate Students: Volunteering with us to work on important Data Science problems.
About you: You should have either a strong ML or software engineering background.

Close Project

iBusiness

Contact us to learn more about this project!

Organizations: We are looking for Indusry Partners!

Research Students: We are looking for motivated students!
Values that we would like to see in you: have a strong ML/AI/Software-Engineering background, strong work ethic, willing to dive into different facets of a project, learn continuously, and support and collaborate with others.

Undergraduate Students: Volunteering with us to work on important Data Science problems.
About you: You should have either a strong ML or software engineering background.

Close Project

iStory

Contact us to learn more about this project!

Organizations: We are looking for Indusry Partners!

Research Students: We are looking for motivated students!
Values that we would like to see in you: have a strong ML/AI/Software-Engineering background, strong work ethic, willing to dive into different facets of a project, learn continuously, and support and collaborate with others.

Undergraduate Students: Volunteering with us to work on important Data Science problems.
About you: You should have either a strong ML or software engineering background.

Close Project

iHealth

Contact us to learn more about this project!

Organizations: We are looking for Indusry Partners!

Research Students: We are looking for motivated students!
Values that we would like to see in you: have a strong ML/AI/Software-Engineering background, strong work ethic, willing to dive into different facets of a project, learn continuously, and support and collaborate with others.

Undergraduate Students: Volunteering with us to work on important Data Science problems.
About you: You should have either a strong ML or software engineering background.

Close Project

iCOP

Contact us to learn more about this project!

Organizations: We are looking for Indusry Partners!

Research Students: We are looking for motivated students!
Values that we would like to see in you: have a strong ML/AI/Software-Engineering background, strong work ethic, willing to dive into different facets of a project, learn continuously, and support and collaborate with others.

Undergraduate Students: Volunteering with us to work on important Data Science problems.
About you: You should have either a strong ML or software engineering background.

Close Project

iLearn

Contact us to learn more about this project!

Organizations: We are looking for Indusry Partners!

Research Students: We are looking for motivated students!
Values that we would like to see in you: have a strong ML/AI/Software-Engineering background, strong work ethic, willing to dive into different facets of a project, learn continuously, and support and collaborate with others.

Undergraduate Students: Volunteering with us to work on important Data Science problems.
About you: You should have either a strong ML or software engineering background.

Close Project