Scholar
Mehrtash Harandi
Google Scholar ID: Z9gvBegAAAAJ
Department of Electrical and Computer Systems Engineering, Monash University
Machine Learning
Computer Vision
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Citations & Impact
All-time
Citations
7,980
H-index
45
i10-index
119
Publications
20
Co-authors
173
list available
Contact
GitHub
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Publications
23 items
Test-Time Instance-Specific Parameter Composition: A New Paradigm for Adaptive Generative Modeling
2026
Cited
0
Sharpness-Aware Minimization in Logit Space Efficiently Enhances Direct Preference Optimization
2026
Cited
0
Antibody: Strengthening Defense Against Harmful Fine-Tuning for Large Language Models via Attenuating Harmful Gradient Influence
2026
Cited
0
Modality Alignment across Trees on Heterogeneous Hyperbolic Manifolds
2025
Cited
0
Massive Activations are the Key to Local Detail Synthesis in Diffusion Transformers
2025
Cited
0
Unveiling m-Sharpness Through the Structure of Stochastic Gradient Noise
2025
Cited
0
Curvature Learning for Generalization of Hyperbolic Neural Networks
2025
Cited
0
Advancements and Challenges in Continual Reinforcement Learning: A Comprehensive Review
2025
Cited
0
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Resume (English only)
Academic Achievements
Led or co-led multiple significant research grants, including:
— ARC: 'Can Machines Unlearn? Toward Next-Generation Safe Artificial Intelligence' (2025–2028, A$790k)
— US Air Force Research Laboratory: 'Generalizing Model Adaptation with Geometry' (2025–2026, A$185k)
— ARC: 'Exploiting Geometries of Learning for Fast, Adaptive and Robust AI' (2023–2025, A$420k)
— DARPA: 'Learning to Learn and Adapt with Less Labels' (2019–2023, A$3,260k)
— Data61-CSIRO: 'Trustworthy Learning from Limited Data' (2018–2022, A$555k)
— NFRFE: AI architectures for advanced manufacturing with Prof. A. Milani (UBC) (2020–2021, A$275k)
— ARC: 'Semantic Vectorisation: From Bitmaps to Intelligent Representations' (2015–2019, A$385k)
Multiple papers accepted at top venues including CVPR, ICCV, ECCV, NeurIPS, ICML, ICLR, AAAI, WACV, IJCV, and Nature Machine Intelligence
Serving as Area Chair (AC) for ICLR'26, NeurIPS'25, ACM-MM'25, and IJCAI'25
Co-authors
173 total
Brian C. Lovell
Professor, The University of Queensland
Mathieu Salzmann
EPFL
Richard Hartley
Australian National University, National ICT Australia (NICTA)
Conrad Sanderson
Data61 / CSIRO
Lars Petersson
Senior Principal Research Scientist, Group Leader, Data61/CSIRO
Pengfei Fang
Southeast University | Monash University | Australian National University | Data61/CSIRO
Fatih Porikli
Qualcomm, Australian National University
Hongdong Li
Professor of Computer Vision and Machine Learning, ANU, and Amazon IML
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