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

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

(13) “Increasing the efficiency and accuracy of
        Bayesian Hybrid Modeling”
        GE technical report, 2017.

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

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

 “Predictive analytics with an advanced  
 Bayesian modeling framework”
 MODSIM World, 2017
        Link.

 “Modern Probabilistic Methods for Pump 
 Predictability and Optimization at the System   
 and Component Levels”
      GE technical report, 2016.

(8) “Expected-Improvement Based Methods for     
     Adaptive Sampling in Multi-Objective     
     Optimization Problems”
     ASME IDETC/CIE, 2016.
      Link (website).

Ph.D.
(7) “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.
Link.

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

(4) “Bayesian uncertainty quantification in the 
     evaluation of alloy properties with the cluster
     expansion method.”
     Computer Physics Communications, 2014.
     Link.

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

Undergraduate
(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

(1) “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.
     Link.

http://www.modsimworld.org/papers/2017/Predictive_analytics_with_an_advanced_Bayesian_modeling_framework.pdfhttps://www.asme.org/events/idetcciehttp://www.sciencedirect.com/science/article/pii/S0021999116302972Publications_files/2015Kristensen_nanowires.pdfhttp://www.sciencedirect.com/science/article/pii/S0010465514002562Publications_files/2013Kristensen_RelEnt.pdfPublications_files/2011Kristensen_Hydronium.pdfhttp://www.ultrafast.dk/pdfs/Turchinovich_OE_16_9986_2008.pdfshapeimage_2_link_0shapeimage_2_link_1shapeimage_2_link_2shapeimage_2_link_3shapeimage_2_link_4shapeimage_2_link_5shapeimage_2_link_6shapeimage_2_link_7

GE Global Research
(13)  AIAA Aviation and Aeronautics Forum and
        Exposition, GA, US
        To be held in June 2018.
        “Efficient robust design optimization using
         Gaussian process and intelligent sampling”.

 IGTI ASME, Oslo, NO
        To be held in June 2018.
        “A Gaussian Process Modeling Approach for
        Fast Robust Design with Uncertain Inputs”.

AIAA SciTech Forum, FL, US
        To be held in January, 2018.
        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”
       conference.
       the talk (p. 19).

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

(8) ASME IDETC/CIE, Charlotte, NC, US
    conference.
    paper.

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

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

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

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

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

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


https://www.asme.org/events/vandvhttp://livepage.apple.com/http://www.modsimworld.org/http://www.modsimworld.org/papers/2017/Predictive_analytics_with_an_advanced_Bayesian_modeling_framework.pdfhttps://www.asme.org/events/idetcciehttp://proceedings.asmedigitalcollection.asme.org/proceeding.aspx?articleid=2591651http://www.tms.org/meetings/annual-15/AM15home.aspxPublications_files/TMS2015_1_JesperKristensen.pdfPublications_files/TMS_2_nanowire.pdfPublications_files/2015_Seminar_Warwick_JesperKristensen.pdfhttp://www.mse.ufl.edu/http://www.tms.org/meetings/annual-14/AM14home.aspxhttp://www.siam.org/meetings/uq14/Publications_files/2_2014_SIAM_UQ.pdfhttp://12.usnccm.org/http://www.tms.org/meetings/annual-13/AM13home.aspxPublications_files/1_2013_TMS.pdfshapeimage_4_link_0shapeimage_4_link_1shapeimage_4_link_2shapeimage_4_link_3shapeimage_4_link_4shapeimage_4_link_5shapeimage_4_link_6shapeimage_4_link_7shapeimage_4_link_8shapeimage_4_link_9shapeimage_4_link_10shapeimage_4_link_11shapeimage_4_link_12shapeimage_4_link_13shapeimage_4_link_14shapeimage_4_link_15shapeimage_4_link_16

Jesper Toft Kristensen

Peer Reviewed Publications and Book Chapters
Conference and Seminar Talks

For my full citations list: Link to Citations Profile