ACMD Seminar Series

The Applied and Computational Mathematics Division holds a regular Seminar Series with participation in both the Gaithersburg and Boulder campuses. This is a listing of past and future seminars starting from 2017. For seminars prior to 2017, please visit the old Division Seminar Page.

Recordings of talks will be made available to NIST staff for 12 months on the Math channel in NISTube. (NISTube is accessible from the NIST internal home page.) After 12 months, the recording will be removed from NISTube and archived. NIST staff can request archived recordings by contacting the ACMD Seminar Chair listed below.

NEW FOR 2023: Introducing, Virtual Viewing as a mechanism to encourage in-person participation and discussion for entirely virtual seminars. Even when the seminar speaker is remote and presenting through an entirely virtual means, on campus common spaces will be reserved at the Gaithersburg and Boulder sites to encourage in-person interaction and participation. Email announcements and specific seminar web pages will contain relevant details. Please consider joining us on campus for these virtual viewings despite a remote speaker.

Upcoming Seminars

• Prashant Athavale, Mathematics Dept. Clarkson University
  Tuesday, March 19, 2024, 3:00 PM ET
• John Cobb, Dept. of Mathematics, Univ. Wisconsin-Madison
  Tuesday, March 26, 2024, 3:00 PM ET

Past Seminars

2024

• Representing and Classifying Data with Optimal Transport
  Gustavo Rohde, Biomedical Engineering and Electrical and Computer Engineering, Univ. Virginia
  Tuesday, February 20, 2024, 3:00 PM ET
• Rendezvous Search on a Sphere: The Astronaut Problem
  Drew Henrichsen, Dept. of Applied Math and Stats, Johns Hopkins University
  Tuesday, February 6, 2024, 3:00 PM ET
• Topological Shape and Data Analysis
  Jeanie Schreiber, Dept. Mathematical Sciences, George Mason Univ.
  Tuesday, January 23. 2024, 3:00 PM ET
• Computational Models as Integral Product Development Tools
  Christine Parrish, Vice President of Technology Solutions, Compact Membrane Systems
  Thursday, January 11, 2024, 3:00 PM ET

2023

• Applications in Machine Learning for Structure Elucidation
  Jennifer Wei, OpenFold
  Tuesday, December 12, 2023, 3:00 PM ET
• The Countoscope: measuring self and collective diffusion with fancy counting
  Brennan Sprinkle, Applied Math & Stats Dept., CO School of Mines
  Tuesday, November 28, 2023, 3:00 PM ET
• Immersive ParaView
  Bill Sherman, ACMD, ITL, NIST
  Monday, November 13, 2023, 3:00 PM ET
• Monotone Generative Modeling via a Gromov-Monge Embedding
  Wonjun Lee, Institute for Mathematics and its Applications, University of Minnesota
  Tuesday, October 31, 2023, 3:00 PM ET
• Parity Based Statistics, Extreme Value Theory and the Bible of Mathematics
  Andrew Rukhin, Statistical Engineering Division, ITL, NIST
  Tuesday, October 17, 2023, 1:00 PM ET
• Systems modeling for effective therapeutic intervention in the tumor microenvironment
  Anne Talkington, Dept. of Biomedical Engineering, University of Virginia
  Tuesday, Sept. 19, 2023, 3:00 PM ET
• The Neumann Problem for the bi-Laplacian in Infinite Sectors
  Jeongsu Kyeong, Dept. of Mathematics, Temple University
  Tuesday, August 22, 2023, 3:00 PM ET
• Uncertainty aggregation through model development and assessment towards prediction
  Andrew White, Thermal Fluid Systems, Rolls-Royce Corporation
  Tuesday, July 11, 2023, 3:00 PM ET
• Practical Diffraction Corrections in Radiometry using Special Functions and the DLMF
  Eric Shirley, Remote Sensing Group, PML / Sensor Science Div., NIST
  Tuesday, June 27, 2023, 3:00 PM ET
• On convergence analysis of an IEQ-based numerical scheme for hydrodynamical Q-tensor model
  Yukun Yue, Mathematical Sciences, Carnegie Mellon University
  Tuesday, May 16, 2023, 3:00 PM ET
• (Re)engineering functional fat phases for spread’s and chocolates’ manufacturing
  Julia Seilert, Dept. of Food Process Engineering, Technische Universität Berlin
  Tuesday, May 9, 2023, 3:00 PM ET
• Geometric Data Analysis: a Riemannian Perspective
  Nicolas Charon, Dept. of Applied Mathematics & Statistics, Johns Hopkins
  Tuesday, May 2, 2023, 3:00 PM ET
• Artificial Chemical Intelligence: AI for Chemistry and Chemistry for AI
  Pratyush Tiwary, Dept. of Chemistry & Biochemistry, University of Maryland
  Wednesday, April 19, 2023, 3:00 PM ET
• Various Approximate Methods To Measure The Uniformity Of Quasirandom Sequences
  Maryam Alsolami, Dept. of Computer Science, Florida State University
  Tuesday, April 4, 2023, 3:00 PM ET
• CLAIRE: Scalable multi-GPU algorithms for diffeomorphic image registration in 3D
  Andreas Mang, Mathematics Dept., University of Houston
  Thursday, March 23, 2023, 3:00 PM ET
• Explainable Models via Data-Driven Optimization
  Howard Heaton, Edge & Node / Typal Research LLC
  Tuesday, March 7, 2023, 3:00 PM ET
• From classical statistics to modern deep learning
  Mikhail (Misha) Belkin, Computer Science & Engineering, University of California - San Diego
  Tuesday, February 21, 2023, 3:00 PM ET
• Membrane Mechanics Meet Minimal Manifolds
  Leroy Jia, Biophysical Modeling Group, Flatiron Institute's Center for Computational Biology
  Wednesday, February 15, 2023, 3:00 PM ET
• Isogeometric Analysis: Fundamentals, Challenges, and Current Research Thrusts
  John Evans, Aerospace Engineering Sciences, University of Colorado - Boulder
  Tuesday, February 7, 2023, 3:00 PM ET
• Spatial heterogeneity in the tumor microenvironment: The impact of immune cells
  Navid Mohammad Mirzaei, Dept. of Mathematics and Statistics, University of Massachusetts Amherst
  Friday, February 3, 2023, 3:00 PM ET
• Using Hamilton Jacobi PDEs in Optimization
  Samy Wu Fung, Mathematics and Statistics Dept., Colorado School of Mines
  Tuesday, January 24, 2023, 3:00 PM ET

2022

• Counting Objects by Diffused Index: geometry-free and training-free approach
  Maryam Yashtini, Mathematics and Statistics Dept., Georgetown University
  Tuesday, December 13, 2022, 3:00 PM ET
• Creating the Extended Reality of the Future with Artificial Intelligence and Computational Design
  Lap-Fai (Craig) Yu, Computer Science Dept., George Mason University
  Wednesday, November 30, 2022, 1:00 PM ET
• PAGANI and m-Cubes: Parallel Adaptive GPU Algorithms for Numerical Integration
  Ioannis Sakiotis, Computer Science Dept., Old Dominion University
  Tuesday, November 15, 2022, 3:00 PM ET
• NPGREAT: Assembling the human telomeres and subtelomeres with the use of ultralong Nanopore and Linked-Read datasets
  Eleni Adam, Computer Science Dept., Old Dominion University
  Tuesday, November 1, 2022, 3:00 PM ET
• Anderson Acceleration: Convergence Theory and Numerical Experience
  Tim Kelley, Mathematics Dept., North Carolina State University
  Tuesday, October 18, 2022, 3:00 PM ET
• Thermally Activated Transitions Between Micromagnetic States
  Gabriel D. Chaves-O’Flynn, Institute of Molecular Physics, Polish Academy of Sciences
  Friday, October 14, 2022, 3:00 PM ET
• Using Topological Data Analysis to Reveal the Structure of Ecological Systems
  Melinda Kleczynski, Dept. of Mathematical Sciences, University of Delaware
  Tuesday, October 4, 2022, 3:00 PM ET
• Analysis of the modified Burgers equation on the half line
  John Holmes, Mathematics Dept, Ohio State University
  Tuesday, September 20, 2022, 3:00 PM ET
• Modeling pairwise particle interactions in an inertial microfluidic channel
  Kaitlyn Hood, Mathematics Dept, Purdue University
  Tuesday, August 9, 2022, 3:00 PM ET
• Optimal Driving Under Traffic Signal Uncertainty
  Mallory Gaspard, Center for Applied Mathematics, Cornell University
  Tuesday, June 7, 2022, 3:00 PM ET
• A Volterra Integral Equation Approach to the Time Dependent Schrödinger Equation
  Ryan Schneider, Dept. of Mathematics, UCSD
  Tuesday, May 24, 2022, 3:00 PM ET
• Conservation Laws, Lagrangian Dynamics, Diffeomorphisms and Weak Solutions
  Barbara Lee Keyfitz, Dept. of Mathematics, Ohio State University
  Tuesday, May 10, 2022, 3:00 PM ET
• Discrete Optimization Techniques for Network and Data Analysis
  Illya Hicks, Computational and Applied Mathematics, Rice University
  Tuesday, April 26, 2022, 3:00 PM ET
• Standards for model evaluation applied to systems pharmacology models: Focus on sensitivity analysis
  Helen Moore, Laboratory for Systems Medicine, University of Florida
  Tuesday, March 29, 2022, 3:00 PM ET
• Probability Distributions in Peak Matching for DART-MS
  Matthew Roberts, NIST ACMD
  Tuesday, March 8, 2022, 3:00 PM ET

2021

• Invertible neural networks for wind turbine airfoil and blade design
  Andrew Glaws, National Renewable Energy Laboratory
  Tuesday, November 30, 2021, 3:00 PM ET
• Optimal Decision Theory for SARS-CoV-2 Antibody Testing
  Paul Patrone, NIST ACMD
  Tuesday, November 16, 2021, 3:00 PM ET
• Optimization Based Deep Neural Networks with Applications
  Harbir Antil, George Mason University
  Tuesday, November 9, 2021, 3:00 PM ET
• Information-theoretic techniques for examining and affecting biological and artificial computing systems for human-centered goals
  Pulkit Grover, Carnegie-Mellon University
  Tuesday, October 5, 2021, 3:00 PM ET
• Computational Molecular Biology and SARS-CoV-2
  Rommie Amaro, UCSD, and Gregory Voth, University of Chicago
  Tuesday, September 14, 2021, 3:00 PM ET
• Highlights from the Advanced Computing World: Exascale Roll Outs and Quantum Computing Developments
  Bob Sorensen, Hyperion Research
  Tuesday, August 31, 2021, 3:00 PM ET
• GMRES Convergence and Spectral Properties of Approximate Preconditioners for KKT matrices
  Josef Sifuentes, University of Texas Rio Grande Valley
  Tuesday, August 17, 2021, 3:00 PM ET
• Legendre functions: New formulas, identities, and transformations
  Robert Maier, University of Arizona
  Tuesday, August 3, 2021, 3:00 PM ET
• Semantic Preserving Translations between NIST's Digital Library of Mathematical Functions and Computer Algebra Systems
  André Greiner-Petter, University of Wuppertal, Germany and National Institute of Informatics, Tokyo
  Tuesday, July 20, 2021, 10:00 AM ET
  On-line only
• The utility of series and integral representations for the Askey-Wilson polynomials and their symmetric sub-families
  Howard Cohl, NIST ACMD
  Tuesday, June 29, 2021, 3:00 PM ET
  On-line only
• Efficient neural network training: streaming hyperspherical rotation circuits for neural network gradient compression
  Matthew Daniels, NIST Nanoscale Device Characterization Division
  Tuesday, June 15, 2021, 3:00 PM ET
  On-line only
• Reverse Turing Tests for Distinguishing AI-generated texts from Human-written texts
  Adaku Uchendu, Pennsylvania State University
  Tuesday, May 25, 2021, 3:00 PM ET
  On-line only
• Mathematically Investigating Retinitis Pigmentosa
  Danielle Brager, NIST ACMD
  Tuesday, May 11, 2021, 3:00 PM ET
  On-line only
• Regulation of PD-L1 inside the tumour microenvironment
  Adarsh Kumbhari, University of Sydney, NSW, Australia
  Tuesday, April 27, 2021, 3:00 PM ET
  On-line only
• Architecture-dependent bifurcations and clustering in brain networks
  Anca Radulescu, SUNY New Paltz
  Tuesday, April 13, 2021, 3:00 PM ET
  On-line only
• Resolving the Shock Layer in Fixed-Bed Adsorption with Boundary Layer Theory
  Robert DeJaco, NIST ACMD
  Tuesday, March 30, 2021, 3:00 PM ET
  On-line only
• Model-free forecasting with applications to multi-sensor arrays
  Tyrus Berry, George Mason University
  Tuesday, March 16, 2021, 3:00 PM ET
  On-line only
• Higher Order and Non-Smooth Optimization of Shells with Applications in 3D Imaging and Micro Fluids
  Stephan Schmidt, Humboldt University, Berlin
  Tuesday, March 2, 2021, 3:00 PM ET
  On-line only
• Calculating Molecular Integrals in Polyatomic Molecules: Developing a 3D Adaptive Grid Based on Atomic Weighting Functions
  Barry Schneider, ACMD
  Tuesday, February 23, 2021, 3:00 PM ET
  On-line only

2020

• Challenges in the application of data-driven methods in optical metrology
  Mark-Alexander Henn, ACMD
  A Study of the RF Propagation Channel for Wireless Capsule Endoscopy
  Kamran Sayrafian, ACMD
  Tuesday, August 11, 2020, 3:00 PM ET
  On-line only
• Using the Lipschitz Matrix for Dimension Reduction
  Jeffrey Hokanson, University of Colorado, Boulder
  Tuesday, June 16, 2020, 4:00 PM ET
  On-line only
• Pass-Efficient Randomized LU Algorithms for Computing Low-Rank Matrix Approximation
  Bolong Zhang, Florida State University
  Tuesday, May 26, 2020, 3:00 PM ET
  On-line only
• Physics-Informed Machine Learning to Infer Dynamics from Data
  Biswadip Dey, Siemens Corporate Technology
  Thursday, May 21, 2020, 2:30 PM ET
  On-line only
• Tomography and Optimization using Monte Carlo
  Zachary Levine, Quantum Measurement Division, NIST
  Thursday, May 14, 2020, 3:00 PM ET
  On-line only
• QA vs. QAO vs. QAOA: Optimizing Analog Quantum Algorithms
  Lucas Brady, ACMD
  Wednesday, April 29, 2020, 3:00 PM ET
  On-line only
• Efficient Variational Methods for Parallel MRI Reconstruction using Sensitivity Encoding
  Maryam Yashtini, Department of Mathematics and Statistics, Georgetown University
  Tuesday, March 10, 2020
  3:00–4:00, Building 101, Lecture Room A, Gaithersburg
  1:00–2:00, Building 1, Room 3304, Boulder
• Subspace-based parameter dimension reduction and manifold extensions
  Zachary Grey, Applied and Computational Mathematics Division, ITL, NIST
  Tuesday, March 3, 2020
  3:00–4:00, Building 101, Lecture Room B, Gaithersburg
  1:00–2:00, Building 1, Room 3304, Boulder
• Electromechanics of Soft Materials
  Luis Dorfmann, Department of Civil Engineering, and Department of Biomedical Engineering, Tufts University
  Tuesday, February 25, 2020
  3:00–4:00, Building 101, Lecture Room C, Gaithersburg
  1:00–2:00, Building 1, Room 4072, Boulder
• Modeling Chemical Separations in All-Silica Zeolite Crystals and Spiral-Wound Membrane Modules
  Robert DeJaco, Department of Chemistry and Chemical Theory Center, University of Minnesota
  Friday, February 21, 2020
  3:00–4:00, Building 101, Lecture Room A, Gaithersburg
  1:00–2:00, Building 1, Room 4072, Boulder
• Tailoring atmospheric inversions for estimating greenhouse gas emissions in urban regions
  Sharon Gourdji and Subhomoy Ghosh, Greenhouse Gas and Climate Science Measurements Program, NIST
  Monday, January 13, 2020
  3:00–4:00, Building 101, Lecture Room B, Gaithersburg
  1:00–2:00, Building 1, Room 4072, Boulder

2019

• FEM-CQ approximation of viscoelastic waves
  Hasan Eruslu, Dept. of Math. Sciences, University of Delaware
  Wednesday, December 11, 2019
  3:00–4:00, Building 101, Lecture Room A, Gaithersburg
  1:00–2:00, Building 1, Room 4072, Boulder
• On Entropy Inequality and Ordered Rate Constitutive Theories for Homogeneous, Isotropic, and Compressible matter under finite deformation with thermal effects
  Daniel Nunez, LPI, Inc.
  Tuesday, Dec 3, 2019
  3:00–4:00, Building 101, West Square, Gaithersburg
  1:00–2:00, Building 1, Room 4072, Boulder
• Two Applications of PDE Constrained Optimization
  Thomas Brown, Department of Mathematical Sciences, George Mason University
  Tuesday, November 12, 2019
  3:00–4:00, Building 227, Room A202, Gaithersburg
  1:00–2:00, Building 1, Room 4072, Boulder
• Mathematical Models for Honeybee Population Dynamics
  Marisabel Rodriguez, Simon A. Levin Computational and Modeling Science Center, Arizona State University
  Monday, October 21, 2019
  3:00–4:00, Building 101, Lecture Room C, Gaithersburg
  1:00–2:00, Building 1, Room 4072, Boulder
• Regularized Finite Element Modeling Methodology for Predicting Discrete Damage-Based Strength and Durability of Laminated Composite Structures
  Endel Iarve, Mechanical and Aerospace Engineering Department, University of Texas, Arlington
  Tuesday, October 8, 2019
  3:00–4:00, Building 101, Lecture Room D, Gaithersburg
  1:00–2:00, Building 1, Room 4072, Boulder
• Matroids and Secret Sharing Schemes
  Bimal Roy, R C Bose Centre for Cryptology and Security, Indian Statistical Institute, Kolkata
  Wednesday, September 25, 2019
  3:00–4:00, Building 227, Room A202, Gaithersburg
  1:00–2:00, Building 1, Room 4072, Boulder
• Black Box Analysis
  Teseo Schneider, Courant Institute, New York University
  Monday, September 16, 2019
  3:00–4:00, Building 101, Lecture Room C, Gaithersburg
  1:00–2:00, Building 1, Room 4072, Boulder
• Computing Ill-Posed Time-Reversed 2D Navier-Stokes Equations, Using a Stabilized Explicit Finite Difference Scheme Marching Backward in Time
  Alfred S. Carasso, Applied and Computational Mathematics Division, NIST
  Tuesday August 27, 2019
  3:00-4:00, Building 101, Lecture Room D, Gaithersburg
  1:00-2:00, Building 1, Room 3304, Boulder
• Quantifying Flows in Time-Irreversible Markov Chains: Application to a Gene Regulatory Network
  Danielle Middlebrooks, University of Maryland-College Park, Applied Mathematics, Statistics and Scientific Computing Program
  Thursday, August 22, 2019
  3:00–4:00, Building 101, Lecture Room B, Gaithersburg
  1:00–2:00, Building 1, Room 1107, Boulder
• Investigating Structure and Reliability in Spiking Neural Networks
  Wilkie Olin-Ammentorp, SUNY Polytechnic Institute
  Thursday, August 8, 2019
  1:00-2:00, Building 101, Lecture Room A, Gaithersburg
  11:00-12:00, Building 1, Room 1107, Boulder
• Engineering Energy Efficient Intelligence
  Natesh Ganesh, Electrical and Computer Engineering, Univ. of Massachusetts, Amherst
  Thursday, July 25, 2019
  1:00-2:00, Building 101, Lecture Room D, Gaithersburg
  11:00-12:00, Building 1, Room 1107, Boulder
• Model-Free Scientific Computing with Neural Differential Equations
  Christopher Rackauckas, MIT Department of Mathematics
  Wednesday, July 10, 2019
  3:00-4:00, Building 101, Lecture Room A, Gaithersburg
  1:00-2:00, Building 1, Room 4072, Boulder
• Applications of Constant pH Molecular Dynamics Simulations in Drug Design and Materials Science
  Robert Harris, University of Maryland School of Pharmacy
  Monday, July 1, 2019
  3:00-4:00, Building 101, Lecture Room D, Gaithersburg
  1:00-2:00, Building 1, Room 4072, Boulder
• Some fast solvers for models of fluid flow and linear elasticity
  Mingchao Cai, Department of Mathematics, Morgan State University
  Tuesday, June 25, 2019
  3:00-4:00, Building 101, Lecture Room D, Gaithersburg
  1:00-2:00, Building 1, Room 4072, Boulder
• Tale of Two Hierarchical Ways of Processing Image Data
  Prashant Athavale, Mathematics Department, Clarkson University
  Wednesday, June 12, 2019
  3:00-4:00, Building 101, Lecture Room A, Gaithersburg
  1:00-2:00, Building 1, Room 4072, Boulder
• Always Annexing Pixels: On Techniques and Infrastructures for Cross-Device Visualization
  Niklas Olmvqist, College of Information Studies, University of Maryland, College Park
  Wednesday, May 22, 2019
  3:00-4:00, Building 101, Lecture Room D, Gaithersburg
  1:00-2:00, Building 1, Room 4072, Boulder
• Methods for Prediction and Control of Complex Systems
  Evelyn Lunasin, US Naval Academy
  Thursday, April 18, 2019
  3:00-4:00, Building 101, Lecture Room A, Gaithersburg
  1:00-2:00, Building 1, Room 1107, Boulder
• Optimal Control of Treatments for Retinitis Pigmentosa
  Luis Melara, Department of Mathematics, Shippensburg University
  Thursday, April 4, 2019
  3:00-4:00, Building 101, Lecture Room D, Gaithersburg
  1:00-2:00, Building 1, Room 1107, Boulder

2018

Past Seminars

• Securing Physically Unclonable Functions
  Sandip Kundu, Department of Electrical & Computer Engineering, University of Massachusetts Amherst
  Thursday, December 13, 2018
  3:00-4:00, Building 101, Portrait Room, Gaithersburg
  1:00-2:00, Building 1, Room 4072, Boulder

  Optimal Quantum Sensing
  Alexey Gorshkov, University of Maryland, Fellow of the Joint Quantum Institute and of the Joint Center for Quantum Information and Computer Science
  Tuesday, October 30, 2018
  15:00 - 16:00 Gaithersburg Building 101 Lecture Room D
  13:00 - 14:00 Boulder Building 1 Room 4072

• IoT-LPWAN testing facility for security and trust in networks of sensors
  Sebastian Barillaro, National Institute for Industrial Technology, INTI and ACMD and CSD, ITl, NIST
  Tuesday, October 23, 2018
  15:00 - 16:00 Gaithersburg Building 227 Room A202
  13:00 - 14:00 Boulder Building 1 Room 4072
• The importance of mitochondrial fission and fusion in a beating heart cell
  Adarsh Kumbhari, University of Sydney, Australia
  Thursday October 18, 2018
  15:00 - 16:00 Gaithersburg Building 101 Lecture Room B
  13:00 - 14:00 Boulder Building 1 Room 4072
• Virtual Reality Toolsmithing for Science
  David Laidlaw, Professor, Computer Science, Brown University
  Friday September 7, 2018
  15:00 - 16:00 Gaithersburg Building 101 Lecture Room D
  13:00 - 14:00 Boulder Building 1 Room 4072
• Analysis of Microfluidic Flow Rate Measurements
  Amy Li, Wellesley College
  Friday, August 10, 2018
  15:30 - 16:30 Gaithersburg Building 101 Lecture Room D
  13:30 - 14:30 Boulder Building 1 Room 4072
• A New Density-Based Clustering Algorithm and its Application to Microstructure Image Segmentation
  Marilyn Yazmin Vazquez Landrove, George Mason University
  Tuesday, July 24, 2018
  15:00 - 16:00 Gaithersburg Building 227 Room A202
  13:00 - 14:00 Boulder Building 1 Room 4072
• Modeling the Pathogenesis and Treatment of Diabetes
  Dr. Arthur Sherman, Chief, Laboratory of Biological Modeling, National Institutes of Health
  Tuesday, July 17, 2018
  15:00 - 16:00 Gaithersburg Building 101 Lecture Room C
  13:00 - 14:00 Boulder Building 1 Room 4072
• The "White Rat" of Numerical Reproducibility
  Professor Michael Mascagni, Depts. of Computer Science, Mathematics, Scientific Computing, Florida State University and ACMD NIST
  Tuesday, June 19, 2018
  15:00 - 16:00 Gaithersburg Building 227 Room A202
  13:00 - 14:00 Boulder Building 1 Room 4072
• Disordered Hyperuniform Materials: New States of Amorphous Matter
  Professor Salvatore Torquato, Dept. of Chemistry, Dept. of Physics, Princeton Institute for the Science and Technology of Materials, and Applied & Computational Mathematics, Princeton University
  Thursday, June 7, 2018
  15:00 - 16:00 Gaithersburg Building 227 Room A202
  13:00 - 14:00 Boulder Building 1 Room 4058
• Eigenvalue problems in scattering theory and their application to nondestructive testing of materials
  Samuel Cogar, Department of Mathematical Sciences, University of Delaware
  Tuesday, May 29, 2018
  15:00 - 16:00 Gaithersburg Building 227 Room A202
  13:00 - 14:00 Boulder Building 1 Room 4072
• Utilizing Next Generation Sequencing to Generate Bacterial Genomic Sequences for Evolutionary Analysis
  Derrick C. Scott, Assistant Professor of Bioinformatics, Biological Sciences, Delaware State University
  Thursday, May 3, 2018
  15:00 - 16:00 Gaithersburg Building 227 Room A202
  13:00 - 14:00 Boulder Room 1-4072
• The intimate connection between the fractional integrals and the time-fractional Porous Medium Equation (fPME)
  Udita Katugampola, Ph.D., Assistant Professor of Mathematics, Florida Polytechnic University
  Thursday, April 19, 2018
  15:00 - 16:00 Gaithersburg Building 101 Lecture Room C
  13:00 - 14:00 Boulder Room 1-4072
• Why are crystal facets mathematically interesting? A continuum-scale story with a microscale touch
  Professor Dionisios Margetis, Department of Mathematics and Institute of Physical Science and Technology, University of Maryland, College Park
  Tuesday, April 3, 2018
  15:00 - 16:00 Gaithersburg Building 222 Room B263
  13:00 - 14:00 Boulder Room 1-4072
• Numerical Methods for Studying Particle Dispersion in Non-Homogeneous Suspension Flows
  Amanda Howard, PhD Candidate, Division of Applied Mathematics, Brown University
  Friday, March 9, 2018
  15:00 - 16:00 Gaithersburg Building 101 Lecture Room B
  13:00 - 14:00 Boulder Room 1-4058
• Conservation of Information in Proteins, Software, Music, Texts, the Universe and Chocolate boxes
  Dr. Les Hatton, Emeritus Professor of Forensic Software Engineering, Kingston University
  Tuesday, March 6, 2018
  15:30 - 16:30 Gaithersburg Building 101 Lecture Room A
  13:30 - 14:30 Boulder Room 1-1107
• Low Power and Wide Area Networks Technologies for Internet of Things
  Sebastian Barillaro, National Institute for Industrial Technology, La Matanza National University  and Guest Researcher, ACMD, NIST
  Friday, February 16, 2018
  15:00 - 16:00 Gaithersburg Building 101, Lecture Room A
  13:00 - 14:00 Boulder Room 1-4058
• Quantum Computation: from philosophy to technology in one generation
  Stephen P. Jordan, Applied and Computational Mathematics Division, NIST
  Thursday, January 4, 2018
  15:00 - 16:00 Gaithersburg Building 101, Portrait Room
  13:00 - 14:00 Boulder Room 1-1107

2017

Past Seminars

• Stochastic Enumeration with Importance Sampling
  Alathea Jensen, George Mason University and ACMD, NIST
  Monday, December 11, 2017
  15:00 - 16:00 Gaithersburg Building 222, Room B-263
  13:00 - 14:00 Boulder Room 1-4058
• Examining the latest resurgence of interest of Virtual Reality
  Prof. Andrew Ray, Department of Information Technology, Radford University
  Friday, December 1, 2017
  15:00 - 16:00 Gaithersburg Building 101, Lecture Room D
  13:00 - 14:00 Boulder Room 1-4058
• Convective instabilities during solidification of binary and ternary alloys
  Prof. Peter Guba, Department of Applied Mathematics and Statistics, Comenius University
  Wednesday, November 15, 2017
  15:30 - 16:30 Gaithersburg Building 101, Lecture Room C
  13:30 - 14:30 Boulder Room 1-4058
• A Statistical Approach for Ill-Posed Inverse Problems
  Matthew Brown, Virginia Tech
  Friday, November 3, 2017
  15:00 - 16:00 Gaithersburg Building 101, Lecture Room C
  13:00 - 14:00 Boulder Room 1-4547
• Designing Resilient Cyber-Physical Systems
  Aron Laszka, Department of Computer Science, University of Houston
  Wednesday, October 25, 2017
  11:00 - 12:00 Gaithersburg Building 222, Room B263
  09:00 - 10:00 Boulder, Room 1-4058
• Embedded functions in combinatorial testing: Progress in automating test design
  George Sherwood, CEO of Testcover.com
  Wednesday, October 11, 2017
  15:00 - 16:00 Gaithersburg Building 101, Lecture Room D
  13:00 - 14:00 Boulder Room 1-4058
• Uncertainty Quantification and Inversion of Large Models
  Prof. Tony O'Hagan, The University of Sheffield
  Tuesday, October 10, 2017
  15:30 - 16:30 Gaithersburg Building 101, Lecture Room A
  13:30 - 14:30 Builder Room 1-4058
• Binomial and logarithmic Gegenbauer expansions for the even-dimensional polyharmonic equation
  Howard Cohl, Applied and Computational Mathematics Division, NIST
  Monday, August 7, 2017
  15:00 - 16:00 Gaithersburg Building 101, Lecture Room C
  13:00 - 14:00 Boulder Room 1-4058
• Part-of-Math Tagging and Applications
  Abdou Youssef, Department of Computer Science, George Washington University, and Applied and Computational Mathematics Division, NIST
  Thursday, August 10, 2017
  15:00 - 16:00 Gaithersburg Building 101, Lecture Room D
  13:00 - 14:00 Boulder Room 1-4549
• Information-theoretic tools for uncertainty quantification of high dimensional stochastic models
  Petr Plechac, Department of Mathematical Sciences, University of Delaware
  Friday, July 28, 2017
  15:00 - 16:00 Gaithersburg Building 101, Lecture Room F
  13:00 - 14:00 Boulder Room 1-4058
• Stratification for Markov chain Monte Carlo sampling
  Jonathan Weare, University of Chicago
  Tuesday, June 27, 2017
  15:30 - 16:30 Gaithersburg Building 101, Lecture Room F
  13:30 - 14:30 Boulder Room 1-4058
• Modeling Diffusion and Capture
  Alan Lindsay, University of Notre Dame
  Tuesday, June 13, 2017
  11:00 - 12:00 Gaithersburg Building 101, Lecture Room B
  09:00 - 10:00 Boulder Room 1-4058
• Towards Fully Accessible Data Visualisation
  Volker Sorge, School of Computer Science, University of Birmingham, UK
  Thursday, June 8, 2017
  15:30 - 16:30 Gaithersburg Building 101, Lecture Room C
  13-30 - 14:30 Boulder Room 1-4058
• Large Scale Distribution-based Data Analysis and Visualization
  Han-Wei Shen, Computer Science and Engineering, The Ohio State University.
  Tuesday, May 23, 2017
  15:30 - 16:30 Gaithersburg Building 101, Lecture Room C
  13:30 - 14:30 Boulder Room 1-4058
• Multiscale stochastic domain decomposition methods for multiphysics problems
  Ivan Yotov, Department of Mathematics, University of Pittsburgh
  Tuesday, May 16, 2017
  11:00 - 12:00 Gaithersburg Building 101, Lecture Room F
  09:00 - 10:00 Boulder Room 1-4058
• 45 Years of Computational Atomic and Molecular Physics: What Have We Learned
  Barry Schneider, Applied and Computational Mathematics (ACMD), ITL, NIST.
  Thursday, April 20, 2017
  15:30 - 16:30 Gaithersburg Building 101, Lecture Room C
  13:30 - 14:30 Boulder Room 1-4058
• Mixed-Integer Nonlinear Optimization: Applications and Methods
  Sven Leyffer, Mathematics and Computer Science Division, Argonne National Lab
  Tuesday, April 18, 2017
  15:30 - 16:30 Gaithersburg Building 222, Room B263
  13:30 - 14:30 Boulder Room 1-4058
• Analysis on fractals: An introduction
  Kasso Okoudjou, Department of Mathematics, University of Maryland
  Tuesday, April 11, 2017
  15:30 - 16:30 Gaithersburg Building 222, Room B263
  13:30 - 14:30 Boulder Room 1-4058
• Methods of mathematical physics applied to practical radiometry
  Dr. Eric L. Shirley,  Sensor Science Division, PML, NIST
  Friday, March 31, 2017
  15:00 - 16:00 Gaithersburg Building 101, Lecture Room C
  13:00 - 14:00 Boulder Room 1-4058
• Data-driven fractal modeling for blackout and malicious threat detection.
  Edmond Jonckheere, Ming Hsieh Department of Electrical Engineering, University of Southern California.
  Tuesday, January 24, 2017
  15:00 - 16:00 Gaithersburg Building 225, Room B111
  13:00 - 14:00 Boulder Room 1-4058
• Obstacle detection using limited measurements of scattered waves.
  Jacob Rezack, University of Delaware.
  Tuesday, January 10, 2017
  15:00 - 16:00 Gaithersburg Building 225, Room B111
  13:00 - 14:00 Boulder Room 1-4058