Dr. Aleksei Zhdanov

Contract role via Connexis Holding GmbH · MR R&D, patient safety. • Verify patient-safety functions of each MR software baseline (RF/SAR monitoring, power limiting, patient-table positioning) in a team of three. • 21 Volunteer Releases; test manager for selected releases. • Root-cause analysis; defects followed to closure in Azure DevOps. • Python tools for traceability and change-impact analysis: planned verification volume cut by more than 50%.

Contract role via Brunel GmbH · SureWave MR elastography, with QED (USA). • Led technical integration of a partner device with Siemens MRI systems across four device builds to the first clinical site in Paris. • Wrote the integration test specification, merged acceptance criteria of both companies, prepared the risk assessment. • Coordinated R&D, physics, quality, regulatory and service teams. • Planned volunteer image collection for the FDA submission; trained colleagues in Shenzhen.

Contract role via Brunel GmbH · SureWave MR elastography. • Tested the device on MRI systems from 0.55 T to 3 T: compatibility, RF noise and B0, phantom repeatability, volunteer studies (60+ sessions over the project). • Led root-cause investigation of a release-blocking RF-noise issue (MATLAB); corrective actions verified, RF-noise increase below 1%. • Documented non-compliance scenarios; wrote test reports and specifications.

Research stay funded by a DAAD (German Academic Exchange Service) scholarship. • Machine learning for ERG and OCT diagnostics; PhD research partly supervised at FAU. • The research collaboration with FAU continues alongside employment.

• Delivered 22 MRI, CT and angiography projects in one year, 10–15 in parallel (Siberia, Russian Far East, Uzbekistan), from pre-sales site assessment to acceptance and handover to service. • Site assessment before contract; scope agreed with chief physicians. • Site layouts in AutoCAD, incl. multi-MR sites. • Inspected site preparation and drove contractor rework. • Order release, factory tracking, installation, customer training, acceptance.

Part-time research alongside industry roles. • Machine learning for ophthalmic diagnostics (ERG, OCT), towards clinical decision support. • Curated clinical datasets: OculusGraphy ERG databases, OCTDL benchmark (Scientific Data, 2024). • Initiated international clinical collaborations (Australia, UK). • 40+ peer-reviewed publications; 668 citations, h-index 13.

Medical Devices R&D. • Senior Project Manager (2020–2021): headed medical-device registration; registered and launched cardiology, neonatal, respiratory and diagnostic devices; teams of 10+; USD 1M funding; patent granted in six months at ~20% of budget. • Project Manager (2018–2020): localisation and OEM programmes, suppliers, risks, compliance packages. • Software Engineer (2016–2018): embedded C/C++ (STM32), SCADA/HMI (SIMATIC/WinCC), automated testing.

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 (electroretinography, OCT).