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Athanasios Polimeridis

VP, Scientific Computing

Q Bio

Biography

I am the VP of Scientific Computing and Head of the Radiomics R&D team with Q Bio, responsible for building technology that quantifies, digitizes, and simulates human physiology. From 2015 to 2018, I was an Assistant Professor with the Skolkovo Institute of Science and Technology. I also held Postdoctoral Research Associate positions with the Laboratory of Electromagnetics and Acoustics at EPFL and the Computational Prototyping Group at MIT.

My research interests revolve around computational methods for modeling interactions between electromagnetic waves and biological tisssue and complex material structures with features at the scale or smaller than the electromagnetic wavelength. My current focus in on using multi-physics based simulations and large-scale optimization for faster, better, and cheaper quantitative magnetic resonance imaging.

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Interests

  • Computational Electromagnetics
  • Magnetic Resonance Imaging
  • Fluctuation Electrodynamics
  • Scientific Computing
  • Large-Scale Optimization

Education

  • PhD in Computational Physics, 2008

    Aristotle University, Greece

  • Diploma in Electrical and Computer Engineering, 2003

    Aristotle University, Greece

Experience

 
 
 
 
 

VP, Scientific Computing

Q Bio

Sep 2016 – Present San Francisco, CA, USA
Building technology that quantifies, digitizes, and simulates human physiology. Head of Radiomics R&D team, responsible for developing algorithms and methods to improve Medical Imaging.
 
 
 
 
 

Assistant Professor

Skolkovo Institute of Science and Technology

Mar 2015 – Jan 2018 Moscow, Russia
Principal investigator of the Computational Prototyping Group. Supervised 2 Postdoctoral Scientists, 4 PhD candidates, and 3 MSc students. Responsible for teaching several Graduate courses. Research in computational methods for modeling interactions between electromagnetic waves and matter with emphasis on biological tisssue and complex material structures with features at the scale or smaller than the electromagnetic wavelength.
 
 
 
 
 

Postdoctoral Research Associate

MIT

Oct 2012 – Mar 2015 Cambridge, MA, USA
Member of the RLE Computational Prototyping Group, working with Prof. Jacob K. White. Research in computational methods for problems in physics and engineering (classical electromagnetics quantum/thermal electromagnetic fluctuations, MRI), with emphasis on the development and implementation of integral-equation based algorithms.
 
 
 
 
 

Postdoctoral Research Associate

EPFL

Oct 2008 – Oct 2012 Lausanne, Switzerland
Member of the Laboratory of Electromagnetics and Acoustics working with Prof. Juan R. Mosig. Research in electromagnetic field theory and related numerical techniques. Participation in several projects of the European Space Agency. Technical adviser of several doctoral candidates.
 
 
 
 
 

Graduate Research Associate

Aristotle University

Oct 2004 – Oct 2008 Thessaloniki, Greece
Member of the Applied and Computational Electromagnetics Laboratory group working with Prof. Traianos Yioultsis. Research on integral equations, multi-layered Green functions, and singular integrals.

Selected Publications

Full list @ Google Scholar

(2019). Noninvasive estimation of electrical properties from magnetic resonance measurements via global Maxwell tomography and match regularization. IEEE Trans. Biomed. Eng., vol. 67, no. 1, pp. 3-15, Jan. 2020.

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(2017). The ultimate signal-to-noise ratio in realistic body models. Magn. Reson. Med, 78 (5): 1969-1980, 2017. [This paper has been selected to appear on the cover of MRM].

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(2016). Fast electromagnetic analysis of MRI transmit RF coils based on accelerated integral equation methods. IEEE Trans. Biomed. Eng., vol. 63, no. 11, pp. 2250-2261, Nov. 20116. [This paper has been selected to appear on the cover of IEEE TBM].

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(2016). Fundamental limits to the optical response of lossy media. Optics Express, 24 (4): 3329-3364, 2016.

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(2015). Fluctuating volume-current formulation of electromagnetic fluctuations in inhomogeneous media: incandescence and luminescence in arbitrary geometries. Phys. Rev. B 92: 134202, 2015.

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(2014). Stable FFT-JVIE solvers for fast analysis of highly inhomogeneous dielectric objects. Journal of Computational Physics, vol. 269, pp. 280-296, 2014.

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(2013). DIRECTFN: Fully numerical algorithms for high precision computation of singular integrals in Galerkin SIE methods. IEEE Trans. Antennas Propag., vol. 61, no. 6, pp. 3112-3122, Jun. 2013.

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Teaching

Computational Science and Engineering I: Modelling and Simulation

Introduction to Numerical Simulation

Great Computational Methods

Advanced Computational Electromagnetics for Antenna Analysis

Software

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DEMCEM

Direct Evaluation Method in Computational Electromagnetics

DIRECTFN

Fully numerical evaluation of 4-D singular integrals arising from Galerkin SIE formulations

FVC

Fluctuating Volume Current Matlab suite

MARIE

MAgnetic Resonance Integral Equation suite: a MATLAB-based open source software for the fast electromagnetic analysis of MRI systems

Patents

  • Tensor field mapping
  • Rapid determination of a relaxation time
  • Noninvasive determination of electrical properties of tissues and materials using magnetic resonance measurements

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