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ICSP2019 - 2nd call for papers , registration open - XV International Conference on Stochastic Programming

  • 1.  ICSP2019 - 2nd call for papers , registration open - XV International Conference on Stochastic Programming

    Posted 01-20-2019 16:33

    2nd call for papers – registration open

    XV International Conference on Stochastic Programming -  ICSP2019

    July 29-August 2, 2019, Trondheim,    https://www.ntnu.edu/icsp

      

    The call for papers is open at https://www.ntnu.edu/web/icsp/abstracts.

    The registration page is now open at:  https://www.ntnu.edu/web/icsp/registration

    Early-bird registration ends at April 1st.

     

    The XV International Conference on Stochastic Programming (ICSP2019)  take place at NTNU in Trondheim, Norway. The ICSP is the premier event of the Stochastic Programming Society (SPS), a technical section of the Mathematical Optimization Society that brings together researchers who work on decisions under uncertainty, practitioners in the industrial and institutional sectors share recent theoretical and applied results. The conference aims to present the state-of-the-art in this field as well as neighboring scientific areas.

     For questions about the conference contact:  icsp2019@ntnu.no

     

    The call for papers is open at https://www.ntnu.edu/web/icsp/abstracts.

     

    Deadline for abstract submission is April 1th.  Notification of accepted papers will be given within 30 days of submission.

    Prices and practical information can be found at

    https://www.ntnu.edu/web/icsp/registration

     

     

    July 29 - August 2, 2019: The ICSP conference

    The conference includes parallel sessions, plenary talks from leading researchers in stochastic optimization and a set of mini symposia, featuring a semi-plenary followed by a stream of recent contributions on selected state-of-the-art topics.  There will be an opening reception on the evening of the 28th.

     

     

    July 27 and 28: Pre-conference tutorials

    A two-day introductory series of tutorials precedes the main conference to provide introduction to some of the central research areas in Stochastic Programming.  

     

    July 22 - July 26: PhD level introduction course in stochastic programming

     

    Plenary speakers

    • Claudia Sagastizábal, Unicamp
    • George Lan, Georgia Institute of Technology 
    • Guzin Baryaksan, Ohio State University
    • Jong-Shi Pang, University of Southern California
    • Rüdiger Schultz, Universität Duisburg-Essen
    • Stein-Erik Fleten, NTNU

    Tutorial speakers 

    • Alejandro Jofré, Universidad de Chile
    • Andrzej Ruszczynski, Rutgers Univeristy
    • David Woodruff, UC Davis
    • Lei Zhao , Tsinghua University
    • Trine Krogh Boomsma, Copenhagen University
    • Uday V. Shanbhag, Pensylvania state university

     

    Mini-symposia: 

     

    The conference will, in line with the previous two meetings, be focused around mini-symposia. A mini-symposium is a collection of talks around a specific topic, and is set up with a semi-plenary talk and then three technical talks. Accepted mini symposia:

     

    Applications

    • Risk-Averse Stochastic Programming and Energy System Operations. Chair: Yongpei Guan. Semi-plenary: Ruiwei Jiang.
    • Stochastic programming for Hydropower scheduling. Chair: Ellen Aasgård and Arild Helseth. Semi-plenary: Arild Helseth.
    • Decomposition Techniques for Large-Scale Stochastic and Robust Energy System Models. Chair: Ramteen Sioshansi and Antonio J. Conejo. Semi-plenary: Pascal Van Hentenryck.
    • One and Two-Level Stochastic Equilibrium Models in Energy and Transportation. Chair: Steven Gabriel. Semi-plenary: Yueyue Fan. 
    • New frontiers in financial decision making under uncertainty: ambiguity, stochastic dominance and complex nonlinear portfolio management. Chair: Miloš Kopa. Semi-plenary: Giorgio Consigli.
    • Freight transportation anFreight transportation ad logistics under uncertainties.Chair: Ruibin Bai and Stein Wallace. Semi-plenary: Ruibin Bai.
    • Stochastic programming in finance. Chair: Stein Erik Fleten. Semiplenary tbc.
    • Stochastic programming in health. Chair: Open. Semiplenary tbc.

     

    Robust and distributionally robust optimization 

    • Applications of Distributionally Robust Optimization.Chair: Daniel Kuhn. Semi-plenary: Wolfram Wiesemann. 
    • Data-Driven Distributionally Robust Optimization. Chair: Wolfram Wiesemann. Semi-plenary: Peyman Mohajerin Esfahani
    • Decision-Dependent Stochastic Programming and Distributionally Robust Optimization: Overview and Recent Advances. Chair: Vincent Guigues. Semi-plenary: Miguel Lejeune
    • From theory to practice: solution methods and implementation aspects on applied robust and stochastic models. Chair: Alexandre Street and Davi Valladão. Semi-plenary: Tito Homem-de-Mello.
    • Doing Good with Good RO. Chair:Phebe Vayanos. Semi-plenary: tbc.


    Methods and computations in stochastic programming

    • Stochastic dynamic programming equations: decomposition methods and applications.Chair: Miguel Lejeune. Semi-plenary: Vincent Guigues.
    • Decomposition-Coordination Methods in Multistage Stochastic Optimization. Chair: Michel De Lara. Semi-plenary: Michel De Lara
    • New Techniques in Multi-Stage Stochastic Programming.Chair: Jim Luedtke. Semi-plenary: Merve Bodur 
    • PDE-Constrained Optimization under Uncertainty and Applications.Chair:Thomas Surowiec and Drew Kouri. Semi-plenary: Thomas Surowiec. 
    • Discrete optimization under uncertainty. Chair:Michael Poss. Semi-plenary: Ricardo Fukasawa.
    • Recent Advances in Stochastic Integer Programming. Chair: Kibaek Kim. Semi-plenary: Simge Kucukyavuz.
    • Nonlinear Programming with probability functions.Chair: Wim van Ackooij. Semi-plenary: Wim van Ackooij
    • Statistics and Machine Learning.Chair: Robert Bassett, Matthew Norton and Johannes Royset. Semi-plenary: Johannes Royset.
    • Bounds and Approximations  in Optimization under Uncertainty.Chair: Francesca Maggioni. Semi-plenary: Francesca Maggioni.


    Equilibrium and variational inequalities 

    • Progressive decoupling of linkages in optimization and variational inequalities: Theory and Applications.Chair: Johannes Royset. Semi-plenary: Terry Rockafellar. 
    • Stochastic Approximation Schemes for Stochastic Optimization, Variational, and Game-Theoretic Problems. Chair: Uday Shanbhag. Semi-plenary: Uday Shanbhag.


    Invited thematic sessions/tutorials

    • A Unified Framework for Optimization under Uncertainty.Chair: Warren Powell.
    • Decision Applications of Learning.Chair: Suvrajeet Sen.



    On behalf of the organizers,

    Asgeir Tomasgard



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    Asgeir Tomasgard, Professor
    NTNU Department of industrial economics and technology management
    Director, Centre for Sustainable Energy Studies www.censes.no
    Director, NTNU Energy Transition https://www.ntnu.edu/energytransition

    mobile: +47 93058771
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