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GE Research
“Industrial Applications of Intelligent Adaptive Sampling Methods for Multi- Objective Optimization.”
     Design Engineering & 
       Manufacturing, 2019.

“Adaptive simulation selection for the
discovery of the ground state line of
binary alloys with a limited
computational budget.”
     Chapter in:
     Recent Progress and Modern
      Challenges in 
      Applied Mathematics, Modeling and 
      Computational Science,
      Springer-Verlag, 2017.

“Quantifying uncertainties in first-principles alloy thermodynamics using cluster expansions.”
Journal of Computational Physics, 2016.

“Predicting low-thermal-conductivity
      Si-Ge nanowires with a modified
      cluster expansion method.”
     Physical Review B, 2015.
     PDF (free)
      ©2015 American Physical Society

“Bayesian uncertainty quantification in
 the evaluation of alloy properties with
      the cluster expansion method.”
     Computer Physics Communications,
      2014.  Special Edition.

(3) “Relative entropy as model selection    
     tool in cluster expansions.”
     Physical Review B, 2013.
     PDF (free)
      ©2013 American Physical Society

(2) “Hydronium-dominated ion transport     
      in carbon-dioxide-saturated
      electrolytes at low salt concentrations
      in nanochannels.”
     Physical Review E, 2011.
     PDF (free)
      ©2011 American Physical Society

“Low-loss polarization-maintaining       
 fusion splicing of single-mode
      fibers and hollow-core photonic
      crystal fibers, relevant for monolithic
      fiber laser pulse compression.”
     Optics Express, 2009.


GE Research
(17) University of Connecticut, CT
        “Recent Progress in Black-Box
        Function Optimization for
        Industry Problems”
        January 2019 (invited)

(16) GE GRC, NY
       Thermosciences - lunch & learn
       “Bayesian Hybrid Modeling and
        Intelligent Design and Analysis of
        Computer Experiments for 
        October 2018 (invited)

(15)  ASME IDETC/CIE, Quebec City,
        August 2018.
        “Polynomial Representation of the
        Gaussian Process”.
        Paper ID: DETC2018-85145.

(14)  AIAA Aviation and Aeronautics
        Forum and Exposition, GA, US
        June 2018.
        “Efficient robust design
         optimization using Gaussian
         process and intelligent sampling”.

(13) IGTI ASME, Oslo, NO
        June 2018.
        “A Gaussian Process Modeling
        Approach for Fast Robust Design
        with Uncertain Inputs”.
        Link, Paper ID: TE2018-77007

(12) ASME V&V, Minneapolis, MN, US
       May 2018
        “Optimal Information Acquisition
        Algorithms for Inferring the Order
        of Sensitivity Indices”
        Link to conference

AIAA SciTech Forum, FL, US    
Talk 1: “Bayesian Multi-Source Modeling with  
 Legacy Data.”
        Talk 2: “Intelligent sampling
         framework for 
         multi-objective optimization in high 
         dimensional design space.”

(10) ASME V&V, Las Vegas, NV, US     
       “Heteroskedastic Gaussian
       Process Meta-models for Improved
       Predictive Uncertainties.”
       the talk (p. 19).

MODSIM World, Virginia Beach, VA, US
Analytics and decision making.

ASME IDETC/CIE, Charlotte, NC,

(7) TMS (144th), Orlando, FL, US
      PDF of talk 1.
      PDF of talk 2.    

(6) University of Warwick, UK
     Warwick centre for predictive 
      modeling Seminar
     PDF of talk.

(5) University of Florida, FL, US
     MSE Department
(4) TMS (143rd), San Diego, CA, US

(3) SIAM on UQ 2014, Savannah,
     Georgia, US
     download presentation.

(2) USNCCM (12th), Raleigh, NC, US

(1) TMS (142nd), San Antonio, TX, US
     download presentation.


Jesper Toft Kristensen

Journal Publications & Book Chapters

For my full citations list: Link to Citations Profile

GE Technical Reports are internal publications that undergo peer review from senior technical staff and management.

GE Research
“Finding Maximum Expected
        Improvement for High-Dimensional
        Design Optimization”
        AIAA Aviation and Aeronautics
          Forum and Exposition, 2019.
          (to be held June 2019, Dallas, TX)

(16) “Bayesian Hybrid Modeling with
        GE GRC Manual (52 pages), 2019.

(15) “Intelligent Design and Analysis of
        Computer Experiments with
        GE GRC Manual (41 pages), 2019.

(14) “Legacy Data for New Design”
      Patent filed with GE GRC, 2018.

(13) “Advanced Bayesian Probabilistic
      Methods for Compressor Modeling”
      GE technical report, 2018.

(12) “Efficient Robust Design Optimization
       using Gaussian Process and 
       Intelligent Sampling”
       2018 Multidisciplinary Analysis &
        Optimization Conference.

(11) “Polynomial Representation of the 
        Gaussian Process”
        ASME IDETC/CIE 2018.

(10) “A Gaussian Process Modeling
        Approach for Fast Robust Design
        with Uncertain Inputs”
        ASME IGTI, 2018
         (paper ID: GT2018-77007)

(9) “Bayesian multi-source modeling with
       legacy data”
      GE technical report, 2018.

(8) “An intelligent sampling framework for
       multi-objective optimization in high-
       dimensional design space”
       SciTech, 2018.

“A Gaussian process modeling
approach for fast robust design with uncertain inputs”
GE technical report, 2017.

(6) “Increasing the efficiency and accuracy
       of Bayesian Hybrid Modeling with
       Adaptive Sequential Monte Carlo
       GE technical report, 2017.

(5) “Portable Bayesian Hybrid Modeling”
       GE technical report, 2017.

(4) “Documentation of the GE Piston GUI
       and Transient Calibration of Large
       Data Sets”
       GE technical report, 2017.

(3)  “Predictive analytics with an advanced  
        Bayesian modeling framework”
        MODSIM World, 2017

(2)  “Modern Probabilistic Methods for
        Pump Predictability and Optimization
        at the System and Component
       GE technical report, 2016.

(1) “Expected-Improvement Based
      Methods for Adaptive Sampling in
      Multi-Objective Optimization
      ASME IDETC/CIE, 2016.

Conference Papers,
GE Technical Reports, & Patents