Ali cheraghian
Scholar

Ali cheraghian

Google Scholar ID: QT0EXIkAAAAJ
Senior Scientist, Macquarie University
Computer VisionMachine LearningLLMs
Citations & Impact
All-time
Citations
832
 
H-index
11
 
i10-index
11
 
Publications
20
 
Co-authors
9
list available
Publications
20 items
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Academic Achievements
  • Published multiple papers such as 'LumiNet: Perception-Driven Knowledge Distillation via Statistical Logit Calibration' accepted to TMLR'25, 'ETTA: Efficient Test-Time Adaptation for Vision-Language Models' and 'Task Progressive Curriculum Learning' accepted to BMVC'25, etc.; Total citations 843, h-index 11, i10-index 13.
Research Experience
  • Current Senior AI/ML Scientist at Macquarie University; Former Computer Vision Scientist at CSIRO Data61; Adjunct Faculty Member at ANU. Focused on bringing advanced AI into integrated circuit design and silicon platforms, leveraging deep learning and LLMs to accelerate chip design workflows and enable next-generation semiconductor innovation.
Background
  • Senior AI/ML Scientist, former Computer Vision Scientist at CSIRO Data61, and Adjunct Faculty Member at the Australian National University (ANU). Expertise in large vision-language models (VLMs), large language models (LLMs), generative AI, knowledge distillation, and incremental learning.
Miscellany
  • Deeply engaged in mentoring graduate researchers, leading cross-functional projects, and advancing ethical, robust, and adaptable AI frameworks across computer vision, multimodal learning, and generative technologies.