Sergei Kurdiumov

Final year PhD student in nanophotonics. Conducting research on super-resolution far-field diffractive 2D imaging enabled by artificial intelligence. Looking for R&D engineering positions in relevant fields

Doctoral researcher Sep 2019 - Present

University of Southampton, Optoelectronics Research Centre (ORC), Southampton, UK

Main achievements

• Developed a non-invasive method for AI-enabled super-resolution imaging of deeply subwavelength 2D objects with resolution of ¼ of the operational wavelength 
• Demonstrated AI-enabled shape classification of objects smaller than ½ of the operational wavelength from their far-field scattering

• Simulating diffraction patterns from various subwavelength objects using angular spectrum propagation method (Python)
• Processing data with convolutional neural networks (CNN)
• Fabricating experimental samples (resistance evaporator, FIB)
• Conducting experiments (optical microscopy)
• Participating in international conferences
• Writing papers

ITMO University, Department of Physics and Engineering, St-Petersburg, Russia

Main achievements

• Developed antennas (radiofrequency coils) for ultra-high field magnetic resonance imaging (MRI) based on metamaterials and high-permittivity dielectrics
• Developed a new method of measuring permittivity of liquids in microwave frequency range

• Simulating resonant structures in CST Microwave Studio
• Data processing in MATLAB
• Conducting experiments (RF measurements in anechoic chamber)
• Writing papers

International Intergovernmental Organisation Joint Institute for Nuclear Research (JINR), Dubna, Russia

Experimentally studied penetration depth of sandblasting particles into beryllium bronze using positron annihilation spectroscopy (PAS)

Main duties

• Preparation of experimental samples
• Conducting experiments 
• Data processing in Sigma Plot

PhD Student 2019 - Present

University of Southampton, Optoelectronics Research Centre (ORC), Southampton, UK

Fully funded PhD position, expected to finish in January 2024

Works on numerical and experimental demonstration of optical far-field microscopy of 2D objects with sizes smaller than the diffraction limit (half of the wavelength), enabled by artificial intelligence

Skills

• Numerical simulations (Python: numpy, scipy, matplotlib; COMSOL MULTIPHYSICS)
• Data analysis (Python: numpy, scipy, pandas, matplotlib; MATLAB)
• Deep learning (Python: tensorflow, keras)
• Nanofabrication (Focused Ion Beam (FIB), resistance evaporator)
• Optical microscopy
• Scanning electron microscopy (SEM)

Master 2017 - 2019

ITMO University, Department of Physics and Engineering, St-Petersburg, Russia

Works investigate decoupling of two adjacent dipole antennas in ultra-high MRI using passive scatterers and metasurfaces.

Skills

• numerical electromagnetic simulations (CST Studio Suite)
• data processing (MATLAB)
• radiofrequency measurements

Specialization: Radio-Frequency Systems and Devices

Thesis title: "Decoupling of two active dipoles with passive scatterers in ultra-high magnetic resonance imaging (MRI)"

Bachelor 2013 - 2017

Peter the Great Polytechnic University, Institute of Physics, Nanotechnology and Telecommunications, St-Petersburg, Russia

Specialty: Physics

Specialisation: Physics and Technology of Nanostructures

Thesis title: "Application of coupled resonators in magnetic resonance imaging (MRI) radiofrequency coils"