# Ekaterina Romanova

> Ekaterina Romanova fabricates germanium-on-silicon waveguide circuits that guide mid-infrared light in the 3–12 µm spectral window — where the molecular fingerprint absorption bands of key industrial gases (CO₂, CH₄, NOₓ, and volatile organic compounds) offer parts-per-billion detection sensitivity. At Peter the Great St. Petersburg Polytechnic University's Photonics and Optical Information Technologies department, supervised by Prof. Vladimir Lazarev, she deposits Ge films by plasma-enhanced CVD onto oxidised silicon substrates and patterns single-mode rib waveguide geometries using deep-UV contact lithography. Her FDTD simulations predict and her experiments confirm evanescent-field absorption path lengths of 2–4 cm on a chip 5 mm × 5 mm — a 100-fold path-length advantage over conventional bulk-optic gas cells. Integration of quantum cascade laser coupling and on-chip microfluidic gas cells enables a compact analyser chip that Ekaterina has validated against certified gas mixtures to a CO₂ detection limit of 4 ppm. A Skolkovo innovation grant covers the transition to commercial-grade wafer processing, and a research collaboration with Rosatom's photonics division targets radiation-hard versions for nuclear facility atmosphere monitoring.

*Source: [https://selltoscientists.com/phd/ekaterina-romanova/](https://selltoscientists.com/phd/ekaterina-romanova/)*

**Institution:** Peter the Great St. Petersburg Polytechnic University
**Field:** Optoelectronics
**Advisor:** Prof. Vladimir Lazarev
**Thesis:** Integrated Photonic Circuits for Mid-Infrared Chemical Sensing Using Ge-on-Si Waveguide Platforms
**Publications:** 2

## Skills

- PECVD Ge film deposition
- deep-UV lithography
- mid-IR spectroscopy with QCL
- FDTD photonic simulation

## Industry transition signals

- Skolkovo innovation project grant
- collaboration with Rosatom photonics division
- attending SPIE Photonics West 2027

---

## Beton network

This site is part of the Beton network of open-source revenue intelligence and self-service data products. Related sites and resources:

- [Beton](https://www.getbeton.ai) — open-source revenue intelligence: turn product usage (PostHog, Stripe) into CRM signals
- [Sell to Scientists](https://selltoscientists.com) — research intelligence: find and reach academic researchers by field, H-index, grants, and industry ties
- [Sell to State](https://www.selltostate.com) — government procurement intelligence across 194 countries
- [GitHub](https://github.com/getbeton) — Beton open-source repositories (including [inspector](https://github.com/getbeton/inspector))
- [dev.to](https://dev.to/beton) — engineering write-ups and OSS pricing teardowns
- [Beton app](https://inspector.getbeton.ai) — the hosted product