Scholar
Babak Hodjat
Google Scholar ID: letSloQAAAAJ
CTO AI
Citations & Impact
Citations
2,769
H-index
20
i10-index
33
Publications
20
Co-authors
4
list available
Contact
No contact links provided.
Resume (English only)
Academic Achievements
- Achievements include but are not limited to: presenting two papers at NeurIPS 2024; developing a new method for quantifying uncertainty in large language models - semantic density; and exploring ways to unlock the potential of human expertise using evolutionary optimization.
Research Experience
- Conducts research in areas such as multi-agent systems, generative AI, deep learning, evolutionary computation, neuroevolution, surrogate optimization, and trustworthy AI.
Background
- Focused on innovation and research in the field of Decision AI, dedicated to applying AI technology at an enterprise scale, promoting a shift from prediction to real-world action guidance.
Miscellany
- Also involved in various application projects, such as decision support for climate change, land use optimization, etc., and shares its research outcomes through media channels.
