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Steven I Reeves

CSE , Computational Research Division


Contact Information

Steven I Reeves
MS 50A-3136B
Lawrence Berkeley National Lab
1 Cyclotron Rd.
Berkeley, CA 94720

510-486-6900 (fax)

SIReeves@lbl.gov


Affiliation and Research Interests

I am a Computer Systems Engineer in the Center for Computational Sciences and Engineering (CCSE) in the Computational Research Division of the Computing Sciences Directorate at Lawrence Berkeley National Laboratory. I am also a PhD Candidate in Statistics and Applied Mathematics at the University of California, Santa Cruz.

As a Computer Systems Engineer for LBL, my main focus is to adapt PeleC- a parallel, AMR, combustion simulation code- to be run on supercomputers with hybrid CPU+GPU configurations. Previously, I have worked on Embedded Boundaries and Linear Solvers within the AMReX package.

In my PhD research for UCSC, I look into the use of Gaussian Process Modeling to interpolate coarse AMR grids to fine ones. Additionally, I am working on a hybrid Convolutional Neural Network - Gaussian Process Model for the purposes of Single Image Super Resolution and image enhancement for astrophysical and medical images. Previously, I have worked on problems in Nonlinear-Dynamical systems, utilizing HPC and numerical analysis.

Research Interests

  • Gaussian Process Modeling for Adaptive Mesh Refinement
  • GP + Convolutional Neural Networks for Single Image Super Resolution and Image Enhancement.
  • General Processing with Graphics Processing Units
  • Computer Vision in Scientific Applications

Publications

2018

P-L Buono, V. In, P. Longhini, L. Olender, A. Palacios and S.I. Reeves, "Phase Drift on Networks of Coupled Crystal Oscillators For Precision Timing". Physical Review E

P-L Buono, B. Chan, J. Ferreira, A. Palacios, S.I. Reeves, P. Longhini, V. In, "Symmetry-Breaking Bifurcations and Patterns of Oscillations in Rings of Crysatal Oscillators". SIAM Journal on Applied Dynamical Systems