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
    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
    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
    Fall 2019: PHY 7097 QFT 1.5
    Fall 2019: PHY 4222 Mechanics II
    Spring 2019: PHY 4222 Mechanics II
    Fall 2018: PHY 3221 Mechanics I
    Spring 2018: PHY 4222 Mechanics II
    Fall 2017: PHY 3221 Mechanics I
    Spring 2016: PHZ 7359: Standard Model II
    Fall 2015: PHZ 6358: Standard Model I
    Spring 2015: PHY 7669 Quantum Field Theory II
    Fall 2014: PHY 6648 Quantum Field Theory I
    Spring 2014: PHZ 7359: Standard Model II
    Fall 2013: PHZ 6358: Standard Model I
    Spring 2013: PHY 7669 Quantum Field Theory II
    Fall 2012: PHY 6648 Quantum Field Theory I
    Spring 2012: PHZ 7359: Standard Model II
    Fall 2011: PHZ 6358: Standard Model I
    Summer 2011: TASI summer school, University of Colorado, Boulder CO
    Spring 2011: MET 1010 Introduction to Weather
    Fall 2010: PHY 3221 Mechanics I
    Spring 2010: MET 1010 Introduction to Weather
    Fall 2009: PHY 3221 Mechanics I
    Summer 2009: "Theorist of the Week" lectures at the LPC, Fermilab.
    Summer 2009: Lectures on supersymmetry, ICTP Summer School, Trieste, Italy
    Spring 2009: MET 1010 Introduction to Weather
    Fall 2008: MET 1010 Introduction to Weather
    Spring 2008: MET 1010 Introduction to Weather
    Fall 2007: MET 1010 Introduction to Weather
    Summer 2007: Cosmology/DM, PiTP summer school, IAS, Princeton
    Spring 2007: MET 1010 Introduction to Weather
    Fall 2006: MET 1010 Introduction to Weather
    Spring 2006: PHY 2054 Physics 2 w/o Calculus
    Fall 2005: PHY 6648 Quantum Field Theory I
    Summer 2005: Practicum on Simulations, PiTP summer school, IAS, Princeton
    Spring 2005: PHY 7669 Quantum Field Theory II
    Fall 2004: PHY 6648 Quantum Field Theory I
    Summer 2004: SSI summer school, SLAC
    Spring 2004: P646 High Energy Particle Physics
Physics Department, Cornell University;
Visiting the Cornell Institute of High Energy Phenomenology
    Fall 2003: Visiting LEPP, Cornell University
    Spring 2003: PHY 4222 - Mechanics II
    Fall 2002: Semester off teaching
    Summer 2002: TASI summer school, Boulder.
    Spring 2002: PHY 2048 - Physics with Calculus 1 (discussion leader)

Current Research and Teaching
    Special Topics In High Energy Theory
  • Spring 2023 course
  •     Machine Learning and Artificial Intelligence
  • Fall 2022 course
  • Spring 2022 course
  • Fall 2021 course
  • Spring 2021 course
  • Fall 2020 course
  •     Quantum Computing and Quantum Information
  • Fall 2020 course
  • quantum algorithm for hypothesis testing
  • QUBO problems
  •     Exoplanets: transit spectroscopy, exobiology
  • characterization of exoplanet atmospheres
  • exploratory data analysis of exoplanet transit spectra
  • symbolic regression for modelling radiative transfer
  •     Machine learning applications in 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
  • deep learning symmetries in the data
  • deep learning symmetries in the latent space
  • machine learning Lie groups and algebras
  •     Spatial statistics and computational geometry
  • edge detection with Voronoi tessellations
  • wombling with Delaunay triangulations
  •     Monte Carlo simulations and sampling
  • reweighting
  • optimal importance sampling
  •     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
        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: July 3, 2022