معرفی
Dr. Shakes Chandra is a Senior Lecturer at the University of Queensland, leading a research team focused on medical image analysis and deep learning. He holds a Ph.D. in Theoretical Physics from Monash University and has over a decade of experience applying machine learning to medical imaging. His work integrates mathematical concepts like fractals and group theory into imaging algorithms, with applications in MRI reconstruction, musculoskeletal analysis, and disease prognosis.
Affiliations:
- School of Electrical Engineering and Computer Science, University of Queensland
- Co-leads the Chaotic Sensing research initiative
- Collaborator with Siemens Medical Solutions
Research Interests:
- Medical imaging (MRI/CT segmentation, artifact suppression)
- Deep learning applications in healthcare
- Computational imaging and signal processing
- Mathematical foundations of imaging systems
Key Projects:
- Developed Chaotic Sensing framework for faster MRI using fractal sampling patterns
- Automated tools for knee/hip joint segmentation deployed in clinical platforms
- Leader of a 20+ researcher team in AI-driven medical imaging
Grants & Collaborations:
- Principal investigator on multi-center TBI prognosis studies (PREDICT-TBI trial)
- Industry partnerships with Siemens Healthcare
- Active in translational research bridging physics/mathematics with clinical applications
Teaching:
- Course leader for Theory of Computation and Pattern Recognition & Analysis
- Advances rapid application development frameworks for biomedical imaging
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