Aleksei Zhdanov

Contract role via Connexis Holding GmbH · MR R&D, patient-safety verification.
• Verify the patient-safety functions of each MR software baseline in a team of three: RF and SAR monitoring, power and voltage limiting, contact protection, patient-table positioning (single- and multi-channel systems).
• 21 Volunteer Releases since 2025; test manager for selected releases: change analysis, risk-based

Contract role via Brunel GmbH · collaboration with QED (Quality Electrodynamics, USA).
• Led the technical integration of a partner-developed MR elastography device with Siemens MRI systems across four device builds, from the verification unit to the pilot production units, through to the first clinical site in Paris.
• Wrote the integration test specification, merged the acceptance criteria of bo

Contract role via Brunel GmbH.
• Tested the SureWave MR elastography device in MR R&D: compatibility, RF-noise and B0 behaviour, phantom repeatability, volunteer studies on MRI systems from 0.55 T to 3 T (60+ test sessions over the project).
• Led the root-cause investigation of a release-blocking RF-noise issue with MATLAB analysis; corrective actions verified (RF-noise increase below 1%), and th

Research stay funded by a DAAD (German Academic Exchange Service) scholarship.
• Machine learning for ERG and OCT diagnostics; PhD research partly supervised at FAU.
• Electroretinogram database description and signal analysis (OculusGraphy), neonatal ventilation modelling, wavelet-based ERG analysis.
• The research collaboration with FAU continues alongside employment.

• Delivered 22 MRI, CT and angiography projects in one year, typically 10 to 15 in parallel, for hospitals in Siberia, the Russian Far East and Uzbekistan: from pre-sales site assessment to customer acceptance and handover to service.
• Assessed sites before contract signature (room suitability, feasibility, risks, timelines); agreed scope with chief physicians and hospital management.
• Drew site

Part-time research, alongside industry roles at Rostec and Siemens Healthineers.
• Machine learning for ophthalmic diagnostics: electroretinography (ERG) and optical coherence tomography (OCT), towards clinical decision support.
• Curated clinical datasets: OculusGraphy ERG databases and the OCTDL benchmark dataset (Scientific Data, 2024).
• Initiated international clinical collaborations (Austral

Medical Devices R&D.
• Headed the medical-device registration function: registered and launched cardiology, neonatal, respiratory and diagnostic devices; prepared technical documentation and registration dossiers.
• Led multidisciplinary teams of 10+ specialists (hardware, embedded software, analytics) from concept to registration.
• Developed quality-management and product life-cycle documentatio

Medical Devices R&D.
• Delivered localisation and OEM programmes for medical devices, managing suppliers, engineering contributors, risks and compliance packages.

Medical Devices R&D.
• Developed embedded C/C++ software (STM32) and automation / SCADA-HMI software (SIMATIC / WinCC) for medical devices.
• Introduced automated testing for these systems.

Oct 2026

Oct 2026

Oct 2026

Jul 2025

Jul 2025

Mar 2025

Oct 2024

Oct 2024

Degree awarded 2024 (Kandidat nauk; recognised as equivalent to a German doctorate). Partly supervised at FAU Erlangen-Nürnberg.
Dissertation: machine-learning clinical decision support for ophthalmic diagnostics based on biomedical signal analysis (electroretinography).

Dec 2024

Sep 2023

Nov 2022

Jun 2020

Feb 2018

Master’s thesis: Development of automated control systems for complex technical infrastructure.

Feb 2018

Relevant coursework: Medical imaging; medical technology; radiotherapy planning; dose-calculation concepts; tumour irradiation workflows; phantom-based practical work.

Sep 2017

Sep 2017

Bachelor’s thesis: Development of a compact USB-connected receiver module enabling portable spectral analysis via a standard PC interface.

One-year Chinese-language programme at Beihang University, Beijing (Chinese Government Scholarship); HSK 2.

Sep 2014