Clinical lab automation with AI human robot interface
Project details
Project title
Clinical lab automation with AI-enhanced human robot interface for health practitioners
Project description
This Project will develop an AI-based robotic programming interface based on large-language model that allows practitioners, regardless of their technical expertise, to efficiently program and control robots. The expected outcomes are to improve efficiency in designing and deploying clinical lab automation and to expand the use of robotics within laboratories. This may lead to improvements with workflow for clinical lab automation, particularly during high-demand situations like pandemic outbreaks.
Supervisory team
University
| Name of university supervisor | Associate Professor Ivan Lee |
| Name of university | University of South Australia |
| Email address | Ivan.Lee@unisa.edu.au |
| Faculty | STEM |
CSIRO
| Name of CSIRO supervisor | Sarvnaz Karimi |
| Email address | Sarvnaz.Karimi@data61.csiro.au |
| CSIRO Research Unit | Data61 |
Industry
| Name of industry supervisor | Peter O’Loughlin |
| Name of business/organisation | Central Adelaide Local Health Network (CALHN) Inc operating as SA Pathology |
| Email address | Peter.OLoughlin@sa.gov.au |
Further details
| Primary location of student | University of South Australia, 1-75, Mawson Lakes Boulevard, Mawson Lakes South Australia |
| Industry engagement component location | CALHN’s SA Pathology, Frome Road, Adelaide SA |
| Ideal student skillset | Qualification: Masters or Honours degree in computer science, computer systems engineering, mechatronics engineering or electrical engineering Mandatory skills: proficiency in Python programming, knowledge in machine learning Preferred skills: natural language processing, ROS programming |
| Application close date | Open until position filled |
| Apply | Contact Associate Professor Ivan Lee |