About 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
Experience
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
Main duties:
- 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
Research Engineer Sep 2016 – Sep 2019
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
Main duties:
- Simulating resonant structures in CST Microwave Studio
- Data processing in MATLAB
- Conducting experiments (RF measurements in anechoic chamber)
- Writing papers
Intern Jun 2016 – Sep 2016
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
Education
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)
Research topic: "Super-resolution diffractive imaging enabled by artificial intelligence"
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
Specialty: Instrument Engineering
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"
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