*A Seminar Series by Leading Researchers in Scientific Computing and Applied mathematics*

**Fall, 2024** (126 Clements Hall)

- September 19 (Thursday)
**Jerome Darbon**, applied math, Brown - October 17 (Thursday)
**Yi Sun**, math, usc - October 30 (Thursday) tba
- November 14 (Thursday)
**Hui Cao**, Physics, Yale - December 5 (Thursday) tba

**Spring, 2024** (126 Clements Hall)

- February 14 (Wednesday),
**Zhimin Zhang**, WSU,*A Family of Finite Element Stokes Complexes In Three Dimensions* - February 29 (Thursday),
**Qiang Du**, Applied Physics and Applied Math, Columbia, Nonlocal models on bounded domains: formulation, analysis and computation - March 22 (Friday),
**George Yin**, Math, Uconn,*Computational Nonlinear Filtering A Deep Learning Approach* - April 11 (Thursday),
**Haizhao Yang**, Math, UMD,*Finite Expression Method: A Symbolic Approach for Scientific Machine Learning* - April 25 (Thursday)
**Paul Dupuis**, Applied Math, Brown,*Interacting Particle Methods for Moment Generating Functions, Quasistationary Distributions, and Ergodic Control*

**Fall, 2023** ( 126 Clements Hall)

- September 14 (Thursday), 3:35pm,
**Prof. Yuesheng Xu,**ODU, Multi-Grade Deep Learning - September 27, Wednesday, 3:45pm,
**Prof**.**Beatrice Riviere****,**CMOR, Rice University, Analysis and Simulation of Discontinuous Galerkin Methods for Two-Phase Flows - November 16 (Thursday), 3:45pm,
**Prof. Robert Lipton**, Mathematics, LSU, Bloch Spectra for High Contrast Elastic Crystals

**Spring, 2023** (**Harold Clark Simmons Hall 207**)

- March 9, Thursday, 3:45pm,
**Prof. Dal Negro Luca,**ECE, Boston University,*Physics-informed adaptive networks for electromagnetic inverse problems: why neural networks must learn physics before guessing* - April 13, Thursday, 3:45pm,
**Prof. Jack F. Douglas,**Materials Science and Engineering Division, NIST,*ZENO: A Computational Path-Integration Method for Nanoparticle and Polymer Characterization* - May 9, Tuesday 3:45pm,
**Prof. Paul Dupuis,**Applied Math, Brown University (re-scheduled to Spring, 2024).

**Fall, 2022** ( 126 Clements Hall)

- September 14, Wednesday, 3:45pm,
**Prof. Dongbin Xiu**, Dept of Math., OSU,*Data Driven Modeling of Unknown Systems with Deep Neural Networks* - October 5, Wednesday, 3:45pm,
**Prof. Haomin Zhou**, Dept of Math., Gatech,*Inverse Weak Adversarial Networks (iWAN): A Computational Method for High-dimensional Inverse Problems* - October 19, Wednesday, 3:45pm,
**Prof. Chun Liu,**Dept of Math., IIT,*Energetic variational approaches: dynamic boundary conditions and thermal effects* - October 26, Wednesday, 3:45pm,
**Prof. A. Bensoussan**, School of Management, UTD,*Control on Hilbert Spaces And Mean Field Control* - November 2, Wednesday, 3:45pm,
*tba* - November 16, Wednesday, 3:45pm,
**Prof. Youssef Marzouk**, MIT - December 7, Wednesday, 3:45pm ,
*tba (date tentative),*

**Spring, 2022** (126 Clements Hall)

- February 18, Friday, 3:30pm,
**Prof. Lu Lu,**Dept of Chemical and Biomolecular Engineering, U. Penn,*Learning nonlinear operators using deep neural networks for diverse applications* - March 3, Thursday, 3:45pm,
**Prof. Yuan Gao,**Dept of Math, Purdue University,*Droplets with moving contact line and insoluble surfactant: Onsager’s principle, variational inequality, computations* - March 4, Friday, 11am,
**Prof. Jianguo Liu**, Dept of Math, Duke University,*Macroscopic dynamics for nonequilibrium biochemical reactions from a Hamiltonian viewpoint* - March 31, Thursday, 3:45pm,
**Prof. Bjorn Engquist,**Dept of Math, UT Austin,*Stochastic gradient descent algorithm for global optimization* - April 14, Thursday, 3;45pm (zoom)
**Prof. Stas Molchanov**, Math, UNC Charlotte,*Dynamo – Theorem (Review) (on zoom)* - April 28, Thursday, 3;45pm.
**Prof. Jiguang Sun**, Dept of Math, Michigan Tech University,*A deterministic-statistical approach to reconstruct moving sources using sparse partial data*

**Fall, 2021** (126 Clements Hall)

- October 7, Thursday, 3:45pm,
**Prof. Kui Ren**, Math, Columbia University,*Revisiting the Classical Least-Squares Formulation for Computational Learning and Inversion (on zoom)* - October 28, Thursday, 3:45pm,
**Prof. Per-Gunnar Martinsson**, ICES, UT Austin,*Direct solvers for elliptic PDEs* - November 11, Thursday, 3:45pm,
**Prof. Alexandre Tartakovsky,**Civil and Environmental Engineering, UIUC,*Physics-Informed Machine Learning Method for Large-Scale Data Assimilation Problems (on zoom).* - December 2, Thursday, 3:45pm,
**Prof. Xingjie Li,**Math, UNC Charlotte.*Coarse – Graining of stochastic system*

**Spring, 2020** (126 Clements Hall)

- January 30, Thursday, 3:45pm,
**Prof. Yuehaw Khoo**, Stat. U. of Chicago,*Multimarginal optimal transport and density functional theory* - February 11, Tuesday, 3:45pm,
**Prof. George Karniadakis**, Brown University,*Physics Informed Neural Networks*f*or Physical Problems & Biological Problems* - February 20, Thursday, 3:45pm,
**Prof. Shi Jin**, INS, Shanghai Jiaotong Univ.,*Random Batch Methods for Classical and Quantum N-body Problems* - February 27, Thursday, 3:45pm,
**Prof. Hongkai Zhao**, Math, UCI,*Intrinsic complexity: from approximation of random vectors and random fields to solutions of PDEs* - March 12, Thursday, 3:45pm,
**Prof. Ren-cang Li,**Math, UT Arlington

**Fall, 2019 **(126 Clements Hall)

- September 19, Thursday, 3:45pm,
**Jiequn Han,**Math., Princeton University,*Uniformly Accurate Machine Learning Based Hydrodynamic Models for Kinetic Equation* - September 16-27, 3:30pm or 5pm,
**Prof. Andriy Baumketner,**Condensed matter physics, Ukraine Academy of Sciences, 10 lectures on*Monte Carlo Method for Problems in Mathematics, Physics and Biology* - October 3, Thursday, 3:45pm,
**Chiwang Shu,**Applied Math, Brown University,*Discontinuous Galerkin Method for Convection Dominated Partial Differential Equations* - October 17, Thursday, 3:45pm, tba
- October 31, Thursday, 3:45pm,
**Guillaume Bal,**Stats and Math,*Topological invariants for interface modes.* - November 14, Thursday, 3:45pm,
**Max Gunzburger**, Dept of Sci. Compt, FSU,*Integral equation modeling for anomalous diffusion and nonlocal mechanics* - November 21, Thursday, 3:45pm,
**Xiaoliang Wan,**Math,*Capture small-noise-induced rare events in differential equations* - December 5, Thursday, 3:45pm
**Prof. Shi-li Zhang**, Solid State Electronics, Uppsala University,*Nano-pores and DNA sensing*

**Spring, 2019** (126 Clements Hall)

- February 7, Thursday, 3:45 pm,
**Guofei Pang**, Applied Math, Brown,*Physics-informed neural networks: A deep learning framework for solving forward and inverse problems of PDEs and fractional PDEs* - February 28, Thursday, 3:45 pm,
**Eitan Tadmor**, Math, Univ. of Maryland,*Emergent behavior in collective dynamics* - March 20, Wednesday, 3:30 pm,
**Greg Gbur**, Physics, UNC Charlotte,*Infinite Hotels in Swirling Beams of Light* - April 4, Thursday, 3:45 pm,
**Shiwei Zhang**, Physics, WM, Flatiron Institute,*Ab- initio computations in quantum many-body systems* - April 10, Wednesday, 3:30pm,
**Elton Hsu**, Math, Northwestern, Brown motions, history, theory, and application - April 18, Thursday, 3:45 pm,
**Longfei Li**, Math, LSU,*A stable partitioned FSI algorithm for incompressible flow and deforming beams* - May 2, Thursday, 3:45 pm,
**Jianfeng Lu**, Math, Duke,*Solving large-scale leading eigenvalue problem*

**Fall, 2018 **(126 Clements Hall)

- September 6, Thursday, 3:45pm,
**Mi Sun Min**, Math & CS, Argonne National Lab,*High-order methods for multi-physics applications* - September 20, Thursday, 3:45pm,
**Zhiqing Xu**, Courant Institute,*Understanding training and generalization in deep learning through Fourier analysis* - October 3, Wednesday, 3:30pm,
**Chia Wei Hsu**, Physics, Yale,*Bound states in the continuum and transmission eigenchannels in complex media* - November 1, Thursday, 3:45 pm,
**Qing Nie***,*Math*, UCI, Data-driven multiscale modeling of cell fate dynamics* - November 8, Thursday, 3:45pm,
**Ming Gu,**Math, Berkeley,*Advanced techniques for low-rank matrix approximation* - November 15, Thursday, 3:45pm,
**Eric Michielssen**, E.E., U. of Michigan,*Butterfly+ Fast Direct Solvers for Highly Oscillatory Problems* - November 29, Thursday, 3:45pm,
**Liliana Borcea**, Math, U. of Michigan,*Reduced order model for active array data processing in inverse scattering*

**Spring, 2018 **(126 Clements Hall)

- February 8, Thursday, 3:45pm,
**Mamikon Gulian**, Applied Math, Brown,*Fractional Laplacians in Bounded Domains, Levy Processes, and Feynman-Kac Formulas* - February 22, Thursday, 3:45pm,
**Prof. Jianguo Liu**, Math, Duke,*Analysis of some machine learning algorithms: stochastic gradient descent and online PCA* - March 15, Thursday, 3:45pm,
**Prof. Anne Gelb**, Math, Dartmouth,*Reducing the effects of bad data measurements using variance based weighted joint sparsity* - March 29, Thursday, 3:45pm,
**Prof. George Biros**, ICES, UT Austin, Randomized linear algebra for hierarchical and kernel matrices - April 12, Thursday, 3:45pm,
**Prof. Michael Mascagni**, Math & CS, Florida State,*The “White Rat” of Numerical Reproducibility* - April 26, Thursday, 3:45pm,
**Prof. Lin Lin**, Math, Berkeley,*Accelerating Hartree-Fock-like equations*

**Fall, 2017 **(126 Clements Hall)

- October 18, Wednesday, 3:30pm,
**Prof. Alex Figotin**, Math, UC Irvin,*Multi-transmission-line-beam interactive system* - October 26, Thursday, 4:00pm,
**Prof. George Yin**, Math, Wayne State U.,*Switching Diffusions and Applications* - November 16, Thursday, 4:00pm,
**Prof. Lexing Ying**, Math, Stanford,*Entropic spectral methods for Boltzmann equation* - November 30, Thursday, 4:00pm,
**Prof. Adrianna Gillman**, Math, Rice, An efficient and high order accurate direct solution technique for variable coefficient elliptic PDEs