Presentations

M2ACS member are actively participating in scientific conferences and workshops. Below is a list of recent selected presentations given by M2ACS PIs.

2016

  • SAMSI Optimization Workshop, North Carolina, September, 2016
    • Mihai Anitescu, SAMSI Optimization Workshop, Research Triangle Park, August 2016. “Getting Out More from the Power Grid– Mathematical Challenges of Energy Systems”. With M2ACS team.
    • Steve Wright and Michael Ferris, Optimization Program Opening Workshop, SAMSI, North Carolina, invited speaker, September 2016.
    • Sven Leyffer, SAMSI Optimization Workshop, Research Triangle Park, NC, August 2016. “Mixed-Integer PDE-Constrained Optimization”
    • Jonathan Weare, Mihai Anitescu, Chris DeMarco, and Charles Matthews, SAMSI optimization workshop, Research Triangle Park, August 2016. “Toward more faithful simulations of cascade failures in power systems.”
  • Institute for Mathematics and its Applications, Minneapolis, February 2016
    • Mihai Anitescu, IMA Colloquium, Minneapolis, February 2016. “Getting Out More from the Power Grid– Mathematical Challenges of Energy Systems”. With M2ACS team.
    • Alexandre M. Tartakovsky and David A. Barajas-Solano, Analysis of power system stability under uncertainty: probability density function (PDF) method; Institute for Mathematics and its Applications Special Workshop: Optimization and Uncertainty Quantification in Energy and Industrial Applications, Twin Cities, MN, Feb. 22–24, 2016.
    • Steve Wright, Workshop on Convexity and Optimization: Theory and Applications, Institite for Mathematics and its Applications, Minneapolis, invited speaker, February, 2015.
    • Steve Wright, IMA Workshop on Optimization and Uncertainty Quantification in Energy and Industrial Applications, speaker, February, 2016.
  • Mihai Anitescu, Asea Brown Boveri (ABB) Colloquium, Raleigh, December 2015
    • Asea Brown Boveri (ABB) Colloquium, Raleigh, December 2015. “Advanced Math and Computing for Energy Systems”. With Francois Gilbert, Cosmin Petra, Shrirang Abhyankar, Emil Constantinescu, Hong Zhang.
      ABB Colloquium, Raleigh, December 2015 : “The Use of Julia Language for Technical Computing”. With Francois Gilbert, Cosmin Petra, Miles Lubin.
  • SIAM Conference on Parallel Processing for Scientific Computing, Paris, France, 2016
    • Kibaek Kim, “Parallel Decomposition Methods for Structured MIP,” SIAM Parallel Processing 2016, Paris, France, April 2016.
    • Cosmin Petra, “Scalable optimization of complex energy systems using high-performance computing,” SIAM Parallel Processing 2016, Paris, France, April 2016
  • SIAM Conference on Uncertainty Quantification, Lausanne, April, 2016
    • Cosmin Petra, Optimization-based parameter estimation of dynamic power grid systems, SIAM UQ, 2016.
    • Charles Matthews with Ben Leimkuhler and Jonathan Weare, SIAM UQ, Lausanne, April 2016: “Ensemble preconditioning schemes for Bayesian inverse problems.”
  • International Conference on Stochastic Programming, Buzios, Brazil, July 2016
    • Kibaek Kim, “An Asynchronous Incremental Proximal Bundle Method for Dual Decomposition of Stochastic Mixed-Integer Programming,” 2016 International Conference on Stochastic Programming, Buzios, Brazil, July 2016.
    • James Luedtke, “Stochastic integer programming,” Invited Tutorial, 2016 International Conference on Stochastic Programming, Buzios, Brazil, July 2016.
    • James Luedtke, “Power flow models with computationally tractable joint chance constraints,” 2016 International Conference on Stochastic Programming, Buzios, Brazil, July 2016.
    • Jean-Paul Watson, “Stochastic Unit Commitment: Scenario Generation, Scalable Computation, and Experimental Results,” 2016 International Conference on Stochastic Programming, Buzios, Brazil. July 2016.
    • Victor M. Zavala, International Conference on Stochastic Programming, June 2016, “Clustering-Based Preconditioning for Stochastic Programs”
    • John Birge, Asset allocation using particle methods, International Conference on Stochastic Programming, Buzios, Brazil, June 2016.
  • Institute for Mathematics and its Applications, Minneapolis, August, 2016
    • Jeff Linderoth, James Luedtke, and Steve Wright, “Mathematical Optimization,” Institute for Mathematics and its Applications (IMA), Minneapolis, August 2016.
    • Steve Wright, Jeff Linderoth, and James Luedtke, New Directions program on Mathematical Optimization, Institute
      for Mathematics and its Applications, Minneapolis, organizer and lecturer, August, 2016.
  • Mihai Anitescu, Schlumberger, Webinar, May 2016. “Optimization Under Uncertainty”. With Cosmin Petra, Victor Zavala.
  • John Birge, Alternative Pricing Policies and Market Design in Electricity Markets, Barbaros Tansel Memorial Lecture, Bilkent University, Ankara, Turkey, March 2016
  • John Birge, Using Optimization to Make the Grid Smart and Efficient, Turkish-American Scientists and Scholars Association annual meeting, Chicago, April 2016.
  • Julie Bessac, Emil M. Constantinescu, and Mihai Anitescu, Stochastic simulation of predictive space-time scenarios of wind speed using observations and physical model outputs; AGU Fall Meeting 2016, San Francisco, CA, Dec 12-16, 2016.
  • Julie Bessac, Emil M. Constantinescu, and Mihai Anitescu, Stochastic simulation of predictive space-time scenarios of wind speed using observations and physical models; Session 243; Joint Statistical Meetings 2016, Chicago, IL, July 30-August 4, 2016.
  • Julie Bessac, Emil M. Constantinescu, and Mihai Anitescu, Construction of stochastic scenarios of wind speed; 23rd Conference on Probability and Statistics in the Atmospheric Sciences, New Orleans, LA, January 11, 2016.
  • Chris DeMarco, Automated Transmission Expansion and Routing Incorporating Electric and Geographic Criteria, Proc. of the 2016 IEEE PES Innovative Smart Grid Technologies Conferences (ISGT), Minneapolis, MN, Sept 6-8, 2016.
  • Michael Ferris, IPAM Workshop, University of California at Los Angeles, Los Angeles, invited speaker, January, 2016.
  • Michael Ferris, School of Industrial and Systems Engineering, Georgia Tech, Atlanta, invited speaker, April, 2016.
  • Michael Ferris, West Coast Optimization Meeting, University of Washington, Seattle, invited speaker, May 14, 2016.
  • Michael Ferris, NATCOR meeting, University of Edinburgh, Scotland, plenary, June 2016.
  • Michael Ferris, Emerging Topics in Sustainable Electric Power Systems series, University of Michigan, invited speaker, September 2016.
  • Michael Ferris, IPAM Workshop, Optimization and Equilibrium in Energy Economics, University of California at Los Angeles, organizer and lecturer, January, 2016.
  • Michael Ferris, Summer School on Convex Optimization, University of Edinburgh, lecturer, June, 2016.
  • Kibaek Kim, High-Performance Computing in Optimization and Complex Energy Systems, Zuse-Institut Berlin, Berlin, Germany, 2016.
  • Kibaek Kim, A Parallel Stochastic Mixed-Integer Programming Solver and Power System Applications, IEEE hpcGrid Working Group, 2016
  • Kibaek Kim, An Asynchronous Incremental Bundle Method for Dual Decomposition of Stochastic Mixed-Integer Programming, INFORMS Optimization Society Meeting, Princeton University, NJ, USA, 2016
  • Barry Lee, Institute for Pure and Applied Math (IPAM), UCLA, January, 2106, “An Elliptical Form for the Power Flow Problem”.
  • Bernie Lesieutre, ETH-Zurich, June 2016, “An Elliptical Form for the Power Flow Problem”.
  • Sven Leyffer, Mathematics of Gas Transport, Berlin, Germany, October 2016. “Mixed-Integer PDE-Constrained Optimization in Gas Networks”
  • Guo Lin, Invited seminar at Department of Electric Engineering, Southeast University, Nanjing, China, June 28, 2016.
  • Guo Lin, Invited seminar at Department of Mathematics, Nanjing Information Engineering University, Nanjing, China, June 27, 2016.
  • Guo Lin, Invited seminar at Institute of Information Science, ShanghaiTech University, Shanghai, China, June 25, 2016.
  • Guo Lin, Invited seminar at Department of Mathematics, Zhejiang University, Hangzhou, China, June 22, 2016.
  • Guo Lin, Invited seminar at Department of Mechanical Engineering, Southeast University, Nanjing, China, June 6, 2016.
  • Guo Lin, Invited talk at International Conference on Applied Mathematics 2016 at CityU, Hong Kong, May 30-June 2, 2016.
  • Guo Lin, Invited seminar at Department of Mathematics, Michigan State University, East Lansing, MI, April 29, 2016.
  • Guo Lin, Invited talk at Workshop on Modeling and Analysis in Molecular Biology and Electrophysiology, Suzhou, China, June 17, 2016.
  • Guo Lin, Invited seminar Invited seminar at Naritech Company, Nanjing, China, June 7, 2016.
  • Jeff Linderoth, “Mixed Integer Nonlinear Programming: Theory, algorithms and applications”, (with Robert Weistmanel, ETH), Sponsored by
    Mathematical Sciences Research Institute (MSRI), University of
    Sevilla, June, 2016.
  • Jeff Linderoth, “Strong Convex Nonlinear Relaxations of the Pooling Problem,” Plenary, Mathematical Programming Down Under (MODU 2016), Melbourne, Australia, July, 2016.
  • Jeff Linderoth, “Strong Convex Nonlinear Relaxations of the Pooling Problem,” 20th Combinatorial Optimization Workshop, Aussois, France, January, 2016.
  • Cosmin Petra, Scalable optimization of complex energy systems using high-performance computing, Joint Mathematics Meeting, 2016.
  • Cosmin Petra, Modelling and solving SC-ACOPF problems in parallel, FERC Technical Conference on Increasing Market and Planning Efficiency through Improved Software, 2016.
  • Emilie Purvine, Graph Clustering with Applications to Power Grid Data; Invited presentation at Valparaiso University Mathematics REU, July 2016.
  • Jean-Paul Watson, Stochastic Unit Commitment: Scenario Generation, Scalable Computation, and Experimental Results, Department of Industrial and Operations Engineering, University of Michigan, Ann Arbor, Michigan. April 2016.
  • Jean-Paul Watson, Parallel Scenario-Based Decomposition Methods for Solving the Contingency-Constrained AC Optimal Power Flow Problem, Fifth International Conference on Continuous Optimization, Tokyo, Japan. August 2016.
  • Charles Matthews with Ben Leimkuhler and Jonathan Weare, ICERM workshop: stochastic numerical algorithms, Providence, July 2016. “Ensemble preconditioning schemes for Bayesian inverse problems.”
  • Charles Matthews with Ben Leimkuhler and Jonathan Weare, SIAM Conference on Mathematical Aspects of Materials Science, Philadelphia, Pennsylvania , May 2016, “Overcoming bad scaling using ensemble samplers.”
  • Lim, C.-H. and Wright, S. J., “A Box-constrained approach for hard permutation problems,” International Conference on Machine Learning (ICML), 2016.
  • Steve Wright, LIDS Student Conference, MIT, Cambridge, plenary speaker, January, 2016.
  • Steve Wright, Winter School on Advances in Mathematics of Signal Processing, Hausdorff Institute for Mathematics, Bonn, invited lecturer, January, 2016.
  • Steve Wright, Rensselaer Polytechnic Institute, Class of ’27 lectures, March, 2016.
  • Steve Wright, Mexico-US Workshop on Optimization and Applications, Merida, invited speaker, January, 2016.
  • Steve Wright, Workshop on Optimization and Data Assimilation, CERFACS, Toulouse, invited speaker, January, 2016.
  • Steve Wright, Algorithms and Applications of Optimization, Fields Institute, Toronto, invited speaker, June, 2016.
  • Steve Wright, 28th European Conference on Operational Research (EURO 2016), Poznan, Poland, plenary speaker, July, 2016
  • Steve Wright, Program on Mathematics of Data, Park City Mathematics Institute, Park City, Utah, lecturer, July, 2016.
  • Victor M. Zavala, Universidad Michoacana de San Nicolas, May 2016, “Algorithms for Multi-Stakeholder Decison-Making and Conflict Resolution”
  • Victor M. Zavala, King Adbullah University of Science and Technology, April 2016, “A Stochastic Programming Framework for Multi-Stakeholder Decison-Making and Conflict Resolution”
  • Victor M. Zavala, Technical University of Denmark, March 2016, “A Framework for Multi-Stakeholder Decison-Making and Conflict Resolution”
  • Victor M. Zavala, U.S.-Mexico Workshop on Optimization, January 2016, “A CVaR Framework for Multi-Stakeholder Optimization”
  • Victor M. Zavala, Pacific Northwest National Laboratory, August 2016, “Advances in Stochastic Optimization: Software, Algorithms, and Applications”
  • Victor M. Zavala, Midwest Microgrid Consortium, July 2016, “Multi-Scale Control of Energy Networks”
  • Victor M. Zavala, Argonne National Laboratory, March 2016, “Interdependent Infrastructures: Models and Solvers”
  • Victor M. Zavala, IEEE Conference on Decision and Control, December 2015, “Nonlinear Programming Strategies on High-Performance Computers”
  • Victor M. Zavala, Stochastic Programming: Formulations, Algorithms, and Applications. Offered:
    • April/July 2016, UW-Madison (20/10 Students). Offered to CBE Graduate Students.
    • April 2016, King Abdullah University of Science and Technology (50 Students). Offered to Graduate Students and Technical Staff of Saudi Aramco.
    • August 2016, UW-Madison (10 Students). Offered to Technical Staff of ExxonMobil, Johnson Controls, and Air Liquide.
    • August 2016, Dow Chemical HQ (20 Students). Offered to Technical Staff of Dow Chemical.
    • December 2016, ITESM-Mexico, Offered to Graduate Students.
  • Victor M. Zavala, Institute for Mathematics and its Applications (Workshop on Electricity Markets), May 2016, “Multi-Scale Control of Energy Networks”

2015

  • INFORMS Annual Meeting, Philadelphia, November, 2015
    • Mihai Anitescu, INFORMS, Philadelphia, November 2015: “Getting Out More from the Power Grid– Mathematical Challenges of Energy Systems”. With M2ACS team. keynote presentation.
    • Kibaek Kim, “A Stochastic Electricity Market Clearing Formulation with Consistent Pricing Properties,” INFORMS 2015 Annual Meeting, Philadelphia, PA, USA, 2015.
    • Kibaek Kim, “Algorithmic Innovations And Software For The Dual Decomposition Method Applied To SMIP,” INFORMS 2015 Annual Meeting, Philadelphia, PA, USA, 2015.
    • Jeff Linderoth, “Strong Convex Nonlinear Relaxations of the Pooling Problem,” INFORMS Annual Meeting, Philadelphia, November, 2015.
    • Steve Wright, INFORMS Annual Meeting, keynote speaker, October 2015.
    • John Birge, Long Term Capacity Contracting with Renewables, INFORMS Annual Meeting, Philadelphia, November 2015.
  • INFORMS Annual Meeting, INFORMS Computing Society Conference, Richmond, VA, January, 2015
    • Jeff Linderoth, “Orbital Conflict,” INFORMS Computing Society Meeting, Richmond, VA, January, 2015.
    • James Luedtke, “Decomposition algorithms for two-stage chance-constrained stochastic programs,” INFORMS Computing Society
      Conference, Richmond, VA, January 2015.
    • Cosmin Petra, Realtime stochastic optimization of complex energy systems on high-performance computers, INFORMS Computing Society, 2015.
  • SIAM Conference on Computational Science and Engineering, Salt Lake City, UT, March, 2015
    • Mihai Anitescu, SIAM-CSE, Salt Lake City, March 2015. “Data-driven model for solar irradiation based on satellite observations”. With Illias Bilionis and Emil Constantinescu.
    • Cosmin Petra, On the role of wind correlation in the economic dispatch of power grid systems, SIAM CSE, 2015.
    • David A. Barajas-Solano, Alexandre M. Tartakovsky, Debojyoti Ghosh, Emil M. Constantinescu, Shrirang Abhyankar and Zhenyu Huang, Probability Density Methods for the Analysis of Power Grids Under Uncertainty; SIAM Conference on Computational Science & Engineering, Salt Lake City, UT, Mar. 14–18, 2015.
  • International Symposium on Mathematical Programming, Pittsburgh, July, 2015
    • Steve Wright, International Symposium on Mathematical Programming, Pittsburgh, plenary speaker, July, 2015.
    • Michael Ferris, International Symposium on Mathematical Programming, Pittsburgh, speaker, July, 2015.
    • Kibaek Kim, Computing Feasible Solutions in Dual Decomposition Method Applied to Stochastic Integer Programming, ISMP Meeting 2015, Pittsburgh, PA, USA, 2015.
    • Jeff Linderoth, “Using IP for Solving Nonconvex Quadratic Programs with Box Constraints,” 22nd International Symposium on
      Mathematical Programming, Pittsburgh, July, 2015.
    • James Luedtke, “Strong convex relaxations of the pooling problem,” 2015 International Symposium on Mathematical Programming, Pittsburgh, PA, July 2015.
  • Mihai Anitescu, EPRI – Innovation Summit, Huntington Beach, October 2015: “New Modeling Frameworks for Planning and Operations”, with Francois Gilbert, Cosmin Petra, Miles Lubin, Victor Zavala.
  • Mihai Anitescu, The National Renewable Energy Lab Colloquium, Golden, July 2015. “HPC for Optimization under Uncertainty in Energy Systems”. With Cosmin Petra, Francois Gilbert, Victor Zavala.
  • Mihai Anitescu, Grid Optics Workshop, Richland, September 2015 : M2ACS: “Multifacted Mathematics for Complex Energy Systems”. With M2ACS team.
  • John Birge, Alternative Pricing Policies and Market Design in Electricity Markets, University of Texas at Dallas, October 2015.
  • John Birge, Alternative Pricing Policies and Market Design in Electricity Markets, University of Oklahoma, October 2015.
  • John Birge, Alternative Pricing Policies and Market Design in Electricity Markets, University of Michigan, October 2015.
  • John Birge, Particle-Filtering Approaches for Dynamic Stochastic Optimization, I-Sim Workshop, Purdue University, July 2015.
  • Michael Ferris, 17th British-French-German Conference on Optimization, Imperial College, London, plenary speaker, June, 2015.
  • Michael Ferris, University of Southern California, Los Angeles, invited speaker, February, 2015.
  • Michael Ferris, Optimization, Sparsity and Adaptive Data Analysis, Chinese Academy of Sciences, plenary speaker, March, 2015.
  • Michael Ferris, Workshop on Stochastic Optimization and Equilibrium, University of Southern California, Los Angeles, invited speaker, October, 2015.
  • Michael Ferris, Grid Science Winter Conference, Santa Fe, invited speaker, January, 2015.
  • Michael Ferris, ACNW Optimization Workshop, Northwestern University, Chicago, invited speaker, June, 2015.
  • Kibaek Kim, Algorithmic Innovations and Software for the Dual Decomposition Method Applied to Stochastic Mixed-Integer Programs, 2015 AIChE Annual Meeting, Salt Lake City, UT, USA, 2015.
  • Kibaek Kim, Algorithmic Innovations and Software for the Dual Decomposition Method Applied to Stochastic Mixed-Integer Programs, MACS Webinar, 2015
  • Kibaek Kim, Algorithmic Innovations and Software for the Dual Decomposition Method Applied to Stochastic Mixed-Integer Programs, ACNW Workshop, Chicago, IL, USA, 2015
  • Kibaek Kim, Computing feasible solutions and upper bounds inthe dual decomposition method applied to stochastic mixed integer programs, FERC: Technical Conference on Increasing Real-Time and Day-Ahead Market Efficiency through Improved Software, Washington, DC, USA, 2015
  • Barry Lee, DTRA/NSF Workshop Algorithm for Threat Detection-Risk and Resiliency of the Electric Power Grid, 2015.
  • Barry Lee, Paifest!, A Symposium in honor of Professor M.A. Pai, UIUC, Urbana, October 2015., “Finding All the Power Flow Solutions”.
  • G. Lin*, Z. Huang, W. Li*, and S. Wang, A generalized EnKF for nonlinear and non-Gaussian data assimilation, International Congress on Industrial and Applied Mathematics, August 10-14, 2015, Beijing, China.
  • W. Li*, G. Lin*, D. Engel, B Zheng, A brief introduction to uncertainty quantification, its applications and computational challenges, PNNL Post Graduate Research Symposium, August 13-14, 2015, Richland, WA.
  • W. Li*, G. Lin*, B Li. 2015. “Dimension Reduction with Inverse Regression for High-dimensional Stochastic Modeling of Subsurface Flows.” SIAM Conference on Mathematical and Computational Issues in the Geosciences, June 29 – July 2, 2015, Stanford, CA.
  • W. Li*, D. Zhang, G. Lin*, A surrogate-based adaptive sampling approach for history matching and uncertainty quantification, SPE Reservoir Simulation Symposium, SPE 173298, Houston, Texas, Feb. 23-25, USA, 2015.
  • Guo Lin, Invited seminar at Department of Mathematics, Ohio State University, Columbus, OH, Dec. 3, 2015.
  • Guo Lin, Invited seminar at Mathematical Biology Institute, Ohio State University, Columbus, OH, Nov. 12, 2015.
  • Guo Lin, Invited seminar at Department of Mathematics, Penn State University, State College, PA, Oct. 26, 2015.
  • Guo Lin, Invited seminar at Department of Mathematics, Indiana University, €“Purdue University Indianapolis, Indianapolis, IN, Sep. 18, 2015.
  • Guo Lin, Invited seminar at Department of Statistics, University of Minnesota, Minneapolis, MN, Feb. 26., 2015.
  • Guo Lin, Invited seminar at Science and Technology for Aquifer Recharge
    Workshop, Doha, Qatar, Feb. 9, 2015.
  • Jeff Linderoth, “Mixed-Integer Nonlinear Optimization: Applications, Algorithms, and Computation”, Plenary, Mixed Integer Nonlinear Optimization Methods for Energy Systems Engineering, RWTH Aachen University, March, 2015.
  • Jeff Linderoth, “Valid Inequalities and Computations for Optimal Transmission Switching,” 19th Combinatorial Optimization Workshop, Aussois, France, January, 2015.
  • Jeff Linderoth, “Symmetry in Integer Programming”, Plenary, Twelfth International Conference on Integration of Artificial Intelligence (AI) and Operations Research (OR) techniques in Constraint Programming (CPAIOR 2015) , Barcelona, Spain, May, 2015.
  • Jeff Linderoth, “Using IP for Solving Nonconvex Quadratic Programs with Box Constraints,” MINLP: A Hatchery for Modern Mathematics, Oberwolfach, Germany, October 2015.
  • Jeff Linderoth, “Mixed Integer Nonlinear Programming”, Plenary, 21st COMEX Belgian Mathematical Optimization Workshop, La Roche-en-Ardenne, Belgium, April, 2015.
  • James Luedtke, “Strong convex relaxations of the pooling problem,” Center for Mathematical Modeling, Santiago, Chile, August 2015.
  • Cosmin Petra, Parallel algebraic modelling for stochastic optimization in Julia, Platform for Advanced Scientific Computing Conference, 2015.
  • Emilie Purvine, Graphs and the Power Grid; Conference on Data Analysis, March 2016.
  • Alexandre M. Tartakovsky, Peng Wang, David A. Barajas-Solano, Zhenyu Huang, Emil M. Constantinescu, Shrirang Abhyankar, PDF Method for Stochastic ODEs of Power Grids; International Conference on Quantification of Uncertainty in Engineering, Science & Technology — QUEST, Beijing, China, Oct. 19–21, 2015.
  • Steve Wright, Workshop on Challenges for Optimization in Data Science, Paris, invited speaker, July, 2015.

2014

  • SIAM Conference on Optimization, San Diego, May, 2014
    • Jeff Linderoth, “Mixed-Integer Nonlinear Optimization: Applications, Algorithms, and Computation”, Mini-tutorial, with Sven Leyffer and Jim Luedtke, SIAM Optimization Conference, San Diego, May, 2014.
    • Jeff Linderoth, “Valid Inequalities \& Computations for Optimal Transmission Switching,” SIAM Optimization Meeting, San Diego, May, 2014.
  • Elizondo MA, S Lu, G Lin, and S Wang, Dynamic Response of Large Wind Power Plant Affected by Diverse Conditions at Individual Turbines, In IEEE Power and Energy Society General meeting, July 27-31, 2014, National Harbor, MD, USA.
  • Jeff Linderoth, “Strong Convex Nonlinear Relaxations of the Pooling Problem,” MINLP 2014, Pittsburgh, June, 2014.
  • Jeff Linderoth, “Cloud Computing for Optimization”, Tutorial, INFORMS Annual Meeting, San Francisco, November, 2014.
  • Jeff Linderoth, “Strengthened MILP Formulations for Indicator Activated Piecewise-linear Functions,” INFORMS Optimization Meeting, Houston, March, 2014.
  • Steve Wright, Conference on Foundations of Computational Mathematics, Montevideo, plenary speaker, December, 2014.
  • Steve Wright, Workshop on Optimization for Modern Computation, Peking University, invited speaker, September 2014.
  • Steve Wright, Mathematical Sciences Department, Johns Hopkins University, Goldman Memorial Lecture, November, 2014.
  • Steve Wright, Computational Science and Engineering Program, MIT, colloquium, October 2014.
  • Steve Wright, Optimization and Data Analytics Section, ExxonMobil Research Center, seminar, December, 2014.
  • Rao, N., Shah, P., and Wright, S. J., “Forward-backward greedy algorithms for signal demixing,” Asilomar Conference on Signals, Systems, and Computers, November, 2014.

2013

2012