[ML-news] GEMS2025 - Fully funded PhD position (Waived Tuition fee + monthly Stipend) at Monash University Malaysia
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Sicily Ting
Feb 12, 2025, 12:04:52 PM2/12/25
to Machine Learning News
Dear all,
About the Project:
Incidental detection of unruptured intracranial aneurysms (UIAs) has become more critical with advancements in imaging technologies. UIAs affect about 3% of the global population, with higher prevalence in certain risk groups, particularly those with a family history of aneurysmal subarachnoid haemorrhage (aSAH), a severe stroke caused by aneurysm rupture. Detecting UIAs often occurs unintentionally during imaging for unrelated reasons. Developing a lightweight AI tool, powered by an adaptive cooperative multi-agent reinforcement learning algorithm, integrated into routine imaging systems (e.g., CT, MRI), can automatically pre-screen for aneurysms, aiding clinicians in early diagnosis of incidental detection of UIA and improving patient outcomes.
Supervisors:
Main Supervisor Assoc. Professor Vishnu Monn - Monash University
Co-supervisors
Ts. Dr. Sicily Fung Fung, Ting; Dr. Yasmeen George; Assoc. Professor Zongyuan Ge
The period in Australia: a monthly stipend of RM 8,500 for up to 9 months
A grant to cover travel and initial cost of living expenses in Australia
Have you ever been intrigued by reinforcement learning and wanted to use your passion to make a difference in neuroimaging segmentation to improve wellbeing for all?
Join us in this project and begin your journey as a full-time PhD candidate!
Join us in this project and begin your journey as a full-time PhD candidate!
GEMS2025's Project Title:
AI-Driven Incidental Detection of Unruptured Intracranial Aneurysms: Development of a Multi-Agent Reinforcement Learning Tool for Enhanced NeuroimagingIncidental detection of unruptured intracranial aneurysms (UIAs) has become more critical with advancements in imaging technologies. UIAs affect about 3% of the global population, with higher prevalence in certain risk groups, particularly those with a family history of aneurysmal subarachnoid haemorrhage (aSAH), a severe stroke caused by aneurysm rupture. Detecting UIAs often occurs unintentionally during imaging for unrelated reasons. Developing a lightweight AI tool, powered by an adaptive cooperative multi-agent reinforcement learning algorithm, integrated into routine imaging systems (e.g., CT, MRI), can automatically pre-screen for aneurysms, aiding clinicians in early diagnosis of incidental detection of UIA and improving patient outcomes.
Supervisors:
Main Supervisor Assoc. Professor Vishnu Monn - Monash University
Co-supervisors
Ts. Dr. Sicily Fung Fung, Ting; Dr. Yasmeen George; Assoc. Professor Zongyuan Ge
Duration: 3 years
Stipend and benefits:
The period in Malaysia: a monthly stipend of RM 2,850 for 33-36 monthsThe period in Australia: a monthly stipend of RM 8,500 for up to 9 months
A grant to cover travel and initial cost of living expenses in Australia
If you feel you are a 'fit', please click here to complete an Expression of Interest (Deadline: 21st Feb 2025), including your research proposal relevant to this GEMS project.
*Your EoI will be assessed and if you are eligible, you will be invited to apply for PhD candidature and may be selected to interview for the GEMS scholarship. Interviews are likely to take place in March 2025 with successful applicants notified shortly afterwards.
*Your EoI will be assessed and if you are eligible, you will be invited to apply for PhD candidature and may be selected to interview for the GEMS scholarship. Interviews are likely to take place in March 2025 with successful applicants notified shortly afterwards.
Contact person:
Ts. Dr. Ting Fung Fung (Sicily)
Lecturer | Year 1 Coordinator (Bachelor of Computer Science in Data Science)School of Information Technology (SoIT)
Monash University MalaysiaReply all
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