Overview
Background
Mahsa Baktashmotlagh is currently an Associate Professor and an ARC Future Fellow at UQ, developing machine learning techniques applied in: Visual data analysis, Biomedical data (Antibacterial activity prediction), and Cyber Security.
Availability
- Associate Professor Mahsa Baktashmotlagh is:
- Available for supervision
Qualifications
- Doctor of Philosophy, The University of Queensland
Supervision
Availability
- Associate Professor Mahsa Baktashmotlagh is:
- Available for supervision
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Available projects
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Enhancing Efficiency of Foundational Models
Explore techniques such as model sparsity, knowledge distillation, and task-specific adaptation to reduce computational overhead without sacrificing performance.
Supervision history
Current supervision
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Doctor Philosophy
Enhancing Safety and Reliability of machine learning models using lifelong multi-modal learning
Principal Advisor
Other advisors: Professor Helen Huang, Dr Yadan Luo
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Doctor Philosophy
Generalizing Implicit Representations for Robotics Manipulation of Articulated Objects
Principal Advisor
Other advisors: Dr Peyman Moghadam
-
Doctor Philosophy
Revisiting Assumptions and Evaluation Metrics in Domain Generalization
Principal Advisor
-
Doctor Philosophy
Parametric Deep Neural Networks for Computer Vision Problems
Principal Advisor
-
Doctor Philosophy
Enhancing Robustness and Generalizability in Computational Models
Principal Advisor
Other advisors: Dr Xin Yu
-
Doctor Philosophy
Semantic Segmentation for Crop Health and Damage Assessment
Principal Advisor
Other advisors: Dr Zijian Wang
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Doctor Philosophy
Enhancing Plant Phenotyping Accuracy through Analysing Video Data
Principal Advisor
Other advisors: Professor Scott Chapman, Dr Yadan Luo
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Doctor Philosophy
Analytical Methods for Quantifying Sustainability in the Grains Industry
Associate Advisor
Other advisors: Dr Bruno Rafael De Almeida Moreira, Associate Professor Sudhir Yadav
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Doctor Philosophy
Unsupervised Domain Adaptation on 3D Object Detection and Segmentation
Associate Advisor
Other advisors: Professor Helen Huang, Dr Yadan Luo
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Doctor Philosophy
Automatic Retinal Health Monitoring through Multi-modal Medical Imaging
Associate Advisor
Other advisors: Dr Xin Yu
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Doctor Philosophy
Out-of-Distribution Generalisation and Detection in Feature Embedding Space
Associate Advisor
Other advisors: Professor Brian Lovell
Completed supervision
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2024
Doctor Philosophy
Exploring Facets of Model Generalizability on Out-of-Distribution Data
Principal Advisor
Other advisors: Professor Guido Zuccon
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2023
Doctor Philosophy
Monocular 3D Reconstruction: Shape Representation, Scalability and Generalization.
Principal Advisor
Other advisors: Dr Yadan Luo
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2022
Doctor Philosophy
On Encoding Causality for Natural Language Understanding
Principal Advisor
Other advisors: Professor Xue Li
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2024
Doctor Philosophy
Towards Analysis of Contextual Melanoma Indicators and Identification of Total-Body Ugly Duckling Lesions with Deep Neural Networks
Associate Advisor
Other advisors: Dr Shakes Chandra
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2023
Doctor Philosophy
On improving vision model transferability to address domain shift in an open world
Associate Advisor
Other advisors: Professor Helen Huang
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2021
Doctor Philosophy
Visual Learning from Imperfect Data via Inductive Bias Modelling
Associate Advisor
Other advisors: Professor Helen Huang
Media
Enquiries
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