Mahsa Baktashmotlagh
Associate Professor · UQ Experts (university-wide) · The University of Queensland
Quick answer: Mahsa Baktashmotlagh is Associate Professor at The University of Queensland. Mahsa Baktashmotlagh shows an active PhD hiring signal as of 2026-09-17.
⭐ Available for supervision. Available project: Enhancing Efficiency of Foundational Models - Explore techniques such as model sparsity, knowledge distillation, and task-specific adaptation to reduce computational overhead without sacrificing performance.
Research interests
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.
Machine learning techniques applied in: Visual data analysis, Biomedical data (Antibacterial activity prediction), and Cyber Security
Selected publications (since 2023)
[2026] Probing Post-Hoc Reasoning in LLMs Over Multi-Step Pathfinding Tasks
[2026] Domain Generalizing DINO for Visual Regression via Latent Distractor Subspace Consistency
[2026] Sorghum diversity head counting dataset
[2026] Spectral distribution alignment for enhanced generalization in regression
[2026] Leveraging gradient information for out-of-domain performance estimations
[2025] WisWheat: a three-tiered vision-language dataset for wheat management
[2025] PEFTDiff: diffusion-guided transferability estimation for parameter-efficient fine-tuning
[2025] Shape-space deformer: unified visuo-tactile representations for robotic manipulation of deformable objects
[2025] Feature space perturbation: a panacea to enhanced transferability estimation
[2025] Improving out-of-distribution detection
Frequently asked questions
Is Mahsa Baktashmotlagh hiring PhD students at The University of Queensland?
Yes. As of 2026-09-17, Mahsa Baktashmotlagh's faculty page shows a PhD hiring signal: Available for supervision. Available project: Enhancing Efficiency of Foundational Models - Explore techniques such as model sparsity, knowledge distillation, and task-specific adaptation to reduce co.
What does Mahsa Baktashmotlagh research?
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.
Machine learning techniques applied in: Visual data analysis, Bio
Data last updated: 2026-09-17 · Source: phd-match.com faculty database.
Is Mahsa Baktashmotlagh a match for your research?
Upload your CV and get matched to professors who fit — with hiring signals.
Start matching