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 the governing equations inside the network: five families of physics-informed models, built around sound, light, brain signals, continuum flow and the chemistry of the cell.
- Director of Research Projects, Abu Dhabi Maritime Academy — AD Ports Group
- Professor, Kyrgyz National University
- AI Research Expert, United Nations (UNODC)
- Science Advisor, Multiple startups
| Area | What I work on |
|---|---|
| Acoustic PINN | Sound reaches where cameras cannot — under water, inside a machine, through a forest at night (acoustic wave equation, impedance and transmission-loss relations). |
| Spectral PINN | Light carries what the eye misses: water, pigment and structure inside a leaf (radiative transfer equation, Beer–Lambert absorption). |
| Neuro PINN | Electroencephalography shows the brain under real load, where movement drowns the signal (bioelectric field equations, cable equation, artefact models). |
| Navier PINN | Measurements are sparse; the rock, water and air between them are not (Navier–Stokes, Navier–Cauchy, advection–diffusion). |
| Biochem PINN | Yield tells you what happened, chemistry tells you why (Michaelis–Menten kinetics, binding thermodynamics, Farquhar photosynthesis). |
- 120 publications on Google Scholar · 902 citations · h-index 13 · i10-index 15
- ~30 international patents
- 8 books in 5 languages
- Springer volume on PINNs for industrial applications (in progress)
Every repository here started as real work: a paper, a field deployment, a client problem, often all three. The cough model goes back to the COVID-19 work published in IEEE OJEMB in 2021. The cricket-farm audio came from farms in Vietnam and Uzbekistan and was published in 2023. The EEG work with elite athletes stands next to a Sensors paper from 2024. The UAV spectrometer flew over hidden plantations with a United Nations agency and was published by Springer in 2025. The hippo warning started with a request from mining companies in Africa.
I publish the repositories years after the work, once the papers are out and client obligations allow it. Client data stays with the clients, so each repository is rebuilt on open datasets, with the physics written into the model and tests that tie the numbers on the page to result files. Where the physics did not beat a simpler method, the README says so. That is how I want my work to be checked.
- 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
- ResearchGate — https://www.researchgate.net/profile/Dmitry-Mikhaylov-9
- Scopus — https://www.scopus.com/authid/detail.uri?authorId=56203422600
- OpenAlex — https://openalex.org/A5063625880