Physics AI Scientist · Professor · UN AI Research Expert Abu Dhabi, UAE
I build physics-informed AI systems that get deployed — not benchmarked and abandoned. My work puts physical laws inside the network: PINNs and physics-aware architectures applied to mineral exploration, agriculture, maritime operations, satellite earth observation, and neurotech.
- Director of Research Projects, Abu Dhabi Maritime Academy — AD Ports Group
- Professor, Kyrgyz National University
- AI Research Expert, United Nations (UNODC)
- Co-founder & Chief Science Officer, DeepTech Engineering
- Founder & CSO, Engiscent Pte. Ltd. (Singapore)
| Area | What I work on |
|---|---|
| Physics-informed neural networks | Industrial PINNs — solvers constrained by governing equations rather than data volume |
| Mineral & subsurface exploration | Physics-aware inversion and prospectivity modelling |
| Agriculture | Satellite and hyperspectral crop analytics; foundation models for agronomy |
| Maritime & port operations | Underwater acoustics, surveillance, autonomous inspection |
| Earth observation | Satellite imaging pipelines for monitoring and verification |
- 116 publications on Google Scholar · 869 citations · h-index 13 · i10-index 15
- ~30 international patents
- 10 books and 3 coursebooks across 4 languages
- Springer volume on PINNs for industrial applications (in progress)
- LinkedIn — https://www.linkedin.com/in/dmitry-mikhaylov
- Substack — https://dmitrymikhaylov.substack.com
- Google Scholar — https://scholar.google.com/citations?user=tfdBDF8AAAAJ
- ORCID — https://orcid.org/0009-0009-2108-6820
- Wikidata — https://www.wikidata.org/wiki/Q88500243