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Ahmed Attia, PhD

Selected Talks, Conferences & Workshops

  1. April 14, 2022; Decision Making Under Uncertainty: Supporting Technologies and Applications. SIAM Conference on Uncertainty Quantification (UQ22), Hybrid Conference | Westin Peachtree Plaza | Atlanta, Georgia, U.S.
    Talk title: Stochastic Learning Approach to Binary Optimization for Optimal Design of Experiments.
  2. April 12, 2022; Recent Advances in Optimal Experimental Design. SIAM Conference on Uncertainty Quantification (UQ22), Hybrid | Westin Peachtree Plaza | Atlanta, Georgia, U.S.
    Talk title: A New Stochastic Learning Approach for Binary Optimization: Application to Bayesian OED.
  3. July 19, 2021; Regularization Techniques for Infinite-Dimensional Optimization with Integralities. SIAM Annual Meeting (AN21), Virtual Conference.
    Talk title: Stochastic Learning Approach for Model-Constrained Optimal Design of Experiment.
  4. March 17, 2021; Argonne National Laboratory,Laboratory for Applied Mathematics, Numerical Software, and Statistics,
    Talk title: New Efficient Approaches for Model-Constrained Optimal Design of Experiments. Presentation slides.
  5. March 1-5, 2021; Recent Advances in Optimal Experimental Design for Large-Scale Inverse Problems. SIAM Conference on Computational Science & Engineering (CSE21), Virtual Conference | Originally scheduled in Fort Worth, Texas, U.S.
    Talk title: Optimal Experimental Design for Sensor Placement and Acquisition of Highly-Correlated Data. Presentation slides.
  6. January 11-15, 2021; Optimal Experimental Design in Computational Science and Engineering. Tthe 14th WCCM & ECCOMAS Congress 2020, Virtual Conference | Originally scheduled in Paris, France.
    Talk title: An Optimal Experimental Design Framework for Sensor Placement and Acquisition of Highly-Correlated Data. Presentation slides.
  7. June 12, 2019; Machine Learning and Data Assimilation for Dynamical Systems (MLDADS). The International Conference on Computational Science (ICCS), Faro, Portugal, 12-14 June 2019.
    Talk title: Tuning Covariance Localization using Machine Learning. Abstract. Presentation slides.
  8. February/March 2019: SIAM Conference on Computational Science & Engineering (CSE17), Spokane, Washington, USA.
    1. Talk title: An Optimal Experimental Design Framework for Adaptive Inflation and Covariance Localization for Ensemble Filter.
    2. Talk title: A Learning-Based Approach for Data Assimilation.
  9. Jan 29-30, 2019; ASCR Applied Mathematics Principal Investigators Meeting, Rockville, MD.
    Poster title: DLiDA: Extremely High-Resolution Data Assimilation. Presentation slides.
  10. Oct 31, 2018; ANL. Talk title: Large-Scale Data Fusion for Improved Model Simulation and Predictability. Presentation slides.
  11. September 13-15, 2018; SIAM Conference on Mathematics for Planet Earth) (SIAM-MPE-18).
    Talk title: A Framework for Adaptive Inflation and Covariance Localization for Ensemble Filters. Presentation slides.
  12. April 16-19, 2018; SIAM Conference on Uncertainty Quantification (SIAM-UQ-18).
    Talk title: Goal-oriented Optimal Design of Experiments for Bayesian Inverse Problems.
  13. Jan 16-18, 2018; Deep Learning at Argonne National Laboratory. Building 240, Argonne, TCS1416, S. Cass Ave, IL, USA.
  14. June 7-9, 2017; American Institute of Mathematics, AIM. 600 East Brokaw Road, San Jose, CA 95112.
    Workshop on Careers in Academia.
  15. May 14-19, 2017; SAMSI/NCSU Undergraduate Workshop.
    1. NWP-Project Proposal; Data Assimilation for Numerical Weather Prediction
    2. An Introduction to Data Assimilation and DATeS (Data Assimilation Testing Suite)
    3. Hands-on Introduction to Python. See Presentation Slides. Code Snippets.
  16. May 1, 2017; SAMSI; Statistical and Applied Mathematical Science Institute.
    OPT-Program Transition Workshop
    Talk title: Goal-Oriented Optimal Design of Experiments for Bayesian Linear Inverse Problems.
  17. April 6-7, 2017; National Science Foundation (NSF), 4201 Wilson Blvd, Arglington VA. An examination of data assimilation algorithms, observations, and applications in the context of next-generation computing.
  18. March 2017: Workshop on Uncertainty Quantification and Data-Driven Modeling; Austin, Texas, USA.
    Poster title: Cluster Sampling Algorithms for Non-Gaussian Data Assimilation.
  19. March 2017: SAMSI; Statistical and Applied Mathematical Science Institute.
    Talk title: A Family of Clustering Sampling Smoothers for 4D Non-Gaussian Data Assimilation.
  20. February/March 2017: SIAM Conference on Computational Science & Engineering (CSE17), Atlanta, Georgia, USA.
    Talk title: Cluster Sampling Filters for Non-Gaussian Data Assimilation.
  21. February 2017: SAMSI; Statistical and Applied Mathematical Science Institute.
    E&O: Undergraduate Workshop
    Talks and Hands-On Tutorials:
    1. Introduction to Python for Scientists
    2. Inverse Problems and Data Assimilation: Hands-On Tutorial
  22. February 2017: Workshop on the Interface of Statistics and Optimization (WISO), Duke University, Durham, NC, USA.
  23. January 2017: Statistical and Applied Mathematical Science Institute, SAMSI.
    Workshop on Statistical Inverse Problems
    Talk title: Goal-Oriented Optimal Experimental Design; Presentation Slides
  24. December 2016: Argonne National Laboratory, ANL.
    Talk title: Advanced Sampling Methods for Solving Large-Scale Inverse Problems.
  25. Augugs/September 2016: Opening Workshop of the Program on Optimization at, SAMSI.
  26. August 2016: SAMSI optimization summer school, August 8-12, 2016. The Hamner Conference Center in Research Triangle Park, NC. SAMSI: OPT 2016
  27. August 2015: Summer internship at Argonne National Laboratory, ANL.
  28. June 2015: Workshop on Sensitivity Analysis and Data Assimilation in Meteorology and Oceanography, Roanoke, West Virginia, USA, Adj. Workshop 2015.
  29. March 2015: Siam Conference on Computational Science and Engineering, Salt Lake City, Utah, USA, SIAM CSE 2015 .
    Talk title: Efficient Sampling Algorithms for Non-Gaussian Data Assimilation.
  30. Dynamic Data-driven Environmental Systems Science conference, Massachusetts Institute of Technology, Cambridge, MA, DyDESS 2014.
    Poster title: A Sampling Approach for Four Dimensional Data Assimilation.
  31. Summer Argonne Students Symposium (SASSy) 2014, Argonne National Laboratory.
    Talk title: Derivative-based Solution of the Constrained Optimization Problem(s) with DeMarco’s Model.
  32. University of Maryland-Virginia Tech Data Assimilation Day, University of Maryland, College Park, UMD-VTech 2014.
    Presentation title: A Sampling Filter for Non-Gaussian Data Assimilation.
  33. March 2014: SIAM conference on uncertainty quantification in Savannah, Georgia, SIAM UQ 2014
  34. October 2013: Sixth International Symposium on Data Assimilation, University of Maryland, College Park, WMO 2013