# Hossein Shirali

Canonical site: https://incandescent-scone-d4ee7d.netlify.app/

Hossein Shirali is an applied AI scientist, computer vision researcher, PhD researcher at Karlsruhe Institute of Technology, and visiting researcher at Mila - Quebec Artificial Intelligence Institute. His work focuses on production-ready machine learning systems, computer vision, robotics, automated microscopy, biodiversity monitoring, and scientific imaging.

## Current roles
- Visiting Researcher, Mila - Quebec Artificial Intelligence Institute, Montreal, Canada, May 2026-present. Work with Prof. David Rolnick's group on AI, computer vision, and biodiversity monitoring, including deep learning methods for automated insect image analysis, classification, morphometrics, and ecological research tools.
- PhD Researcher, Karlsruhe Institute of Technology, Germany. Research in applied AI, computer vision, robotics, scientific imaging, and automation.

## Key research themes
- Computer vision for insect image analysis and biodiversity monitoring.
- Deep learning for automated morphometrics and biomass estimation.
- AI systems for robotics, automation, scientific imaging, and production deployment.
- Automated microscopy, robotic specimen handling, and scalable ecological monitoring workflows.

## Notable publication
- InsectMorphoAI: A deep learning framework for automated insect morphometrics and biomass estimation with taxon-specific volumetric validation. Ecological Informatics, 96, 103854, 2026. DOI: https://doi.org/10.1016/j.ecoinf.2026.103854

## Links
- Portfolio: https://incandescent-scone-d4ee7d.netlify.app/
- LinkedIn: https://www.linkedin.com/in/hossein-shirali-a5a498171/
- GitHub: https://github.com/HosseinShirali
- Google Scholar: https://scholar.google.com/citations?user=zXljf7gAAAAJ&hl=en
- ORCID: https://orcid.org/0009-0005-6884-4263
- ResearchGate: https://www.researchgate.net/profile/Hossein-Shirali-2

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