Konstantin Matchev

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Professor
Department of Physics
University of Florida
P.O. Box 118440
Gainesville, FL 32611-8440
USA

Office: 2055 New Physics Building
Tel: (352) 392-5709
Web: www.phys.ufl.edu/~matchev
E-mail: matchev@ufl.edu

Awards and Distinctions
    2022: ARIEL Machine Learning Data Challenge certificate
    2021: NVIDIA Deep Learning Institute certificate
    2018-21: UF Term Professor
    2018-21: UF Research Foundation Professor
    2017: UF Postdoc Mentoring Award
    2015: Fellow of the American Physical Society
    2012: UF Doctoral Mentoring Award
    2004: Outstanding Junior Investigator, Department of Energy

Recent Teaching
    Spring 2023: PHY 7097 Special Topics (High Energy Theory)
    Fall 2022: PHY 7097 Machine Learning
    Spring 2022: PHY 4905 Machine Learning
    Fall 2021: PHY 7097 Machine Learning
    Spring 2021: PHY 4905 Machine Learning
    Fall 2020: PHY 7097 Quantum Computing for Physicists
    Fall 2020: PHY 7097 Machine Learning

Current Research and Teaching
    Exoplanets: transit spectroscopy, exobiology
  • detection of novel chemistry in exoplanet atmospheres
  • characterization of exoplanet atmospheres
  • exploratory data analysis of exoplanet transit spectra
  • symbolic regression for modelling radiative transfer
  •     Symmetry discovery with machine learning
  • group-theoretic structure of machine-learned symmetries
  • machine learning the exceptional Lie groups
  • machine learning sparse symmetry representations
  • deep learning symmetries in the latent space
  • deep learning symmetries in the data
  •     Machine learning applications in high energy physics:
  • symbolic regression for modelling particle kinematics
  • deep-learned kinematic variables
  • deep-learned categorization in high-energy physics
  •     Fundamental AI
  • uncertainty quantification of GANs
  • deep-learned mixture model estimation
  • InferoStatic Networks; multiparameter inference
  •     Quantum Computing and Quantum Information
  • Fall 2020 course
  • quantum algorithm for hypothesis testing
  • QUBO problems
  •     Spatial statistics and computational geometry
  • edge detection with Voronoi tessellations
  • wombling with Delaunay triangulations
  •     Monte Carlo simulations and sampling
  • variance reduction with control variates in Vegas
  • optimal importance sampling
  • reweighting
  •     Dark matter
  • detection with superfluid He: theory and phenomenology
  • identification at colliders
  •     Phase space kinematics
  • singularity variables
  • focus point method for mass measurements
  •     Review papers on collider phenomenology
  • kinematic variables and feature engineering
  • supersymmetry at the LHC
  • universal extra dimensions at the LHC
  • Research in the news
        Universe Today (August 2023)
  • The Most Compelling Places to Search for Life
  •     UF Explore magazine (December 2022)
  • Signs of Life
  •     UF Physics News (December 2022)
  • Exoplanets Research Team Wins Machine Learning Data Challenge
  •     UF News (August 2022)
  • Florida Scientists Delve into the Cosmos
  •     AAS Nova Research Highlights (July 2022):
  • A Simpler Way to Analyze Spectra
  •     medium.com (April 2022)
  • 5 Papers to Read on Dimensionality Reduction
  •     PRL Highlights (April 2016)
  • Explaining a 750 GeV Bump
  •     Physics World (February 2011)
  • Will the LHC find supersymmetry
  •     "Viewpoint" (November 2010)
  • Meet a superpartner at the LHC
  •     "New Scientist" (September 2010)
  • LHC could hit the jackpot this year
  •     Science & Vie (Fall 2005)
  • Boson de Higgs: Et s'il n'existait pas
  •     SpaceDaily (May 2003)
  • Florida physicist says ...
  •     "New Scientist" (November 2002)
  • Antarctic neutrino trap ...
  •     Physical Review Focus (November 2002)
  • Detecting Dark Dimensions

  • Last modified: August 22, 2023