The LANS seminar series (formerly known as LANS Informal Seminar) is an event hosted by the Laboratory for Applied Mathematics, Numerical Software, and Statistics (LANS) at Argonne National Laboratory. This seminar series feature researchers around the world conducting research in applied mathematics, statistics, optimization, scientific computing, numerical analysis, machine learning, data-driven methods, and related topics. The series consists of talks held on every Wednesday at 10:30 a.m. (Central Time). Please contact us for speaker suggestions.
Upcoming Speakers
Jim Franke
Geophysical Sciences Graduate Student at the University of Chicago
Presenting on February 1, 2023
Sanmukh Kuppannagari
Assistant Professor in the Department of Computer and Data Sciences at Case Western Reserve University
Presenting on February 8, 2023
Brahim Mustapha
Accelerator Physicist at Argonne National Laboratory
Presenting on February 15, 2023
Past Speakers
2023
Shivam Barwey
Postdoctoral Appointee at Argonne and PhD candidate of Aerospace Engineering at the University of Michigan
Presented on January 11, 2023
Nathaniel Pritchard
Statistics Graduate Student at the University of Wisconsin
Presented on January 18, 2023
Deep Ray
Postdoctoral Research Associate in the Viterbi School of Engineering at the University of Southern California
Presented on January 25, 2023
2022
Max Bowman
Electrical and Computer Engineering Student at Rice University
Presented on December 21, 2022
To View Recording Below, Find Passcodes Here.
Minseok Ryu
Postdoctoral Appointee at Argonne
Presented on December 14, 2022
To View Recording Below, Find Passcodes Here.
James Evans
Professor at the University of Chicago
Presented on November 30, 2022
To View Recording Below, Find Passcodes Here.
Guannan Zhang
Senior Research Staff in Computational and Applied Mathematics (CAM) Group at Oak Ridge National Laboratory (ORNL)
Presented on November 16, 2022
To View Recording Below, Find Passcodes Here.
Brandon Amos
Research Scientist in the Fundamental AI Research (FAIR) group at Meta AI
Presented on November 9, 2022
To View Recording Below, Find Passcodes Here.
Xinyu Fei
Ph.D. student in Industrial and Operations Engineering at University of Michigan
Presented on November 2, 2022
To View Recording Below, Find Passcodes Here.
Romain Egélé
Master’s student in AI and advanced visual computing at École Polytechnique, Palaiseau, Île-de-France, France
Presented on October 27, 2022
To View Recording Below, Find Passcodes Here.
Oliver Hinder
Assistant Professor at the University of Pittsburgh
Presented on October 19, 2022
Themis Sapsis
Professor of Mechanical and Ocean Engineering at MIT
Presented on October 12, 2022
To View Recording Below, Find Passcodes Here.
Olivera Kotevska
Research Scientist at ORNL
Presented on October 5, 2022
To View Recording Below, Find Passcodes Here.
Can Li
Assistant Professor at Purdue University
Presented on September 29, 2022
To View Recording Below, Find Passcodes Here.
Nicholas Geneva
Mechanical Engineering PhD Student at University of Notre Dame
Presented on September 21, 2022
To View Recording Below, Find Passcodes Here.
SEMINAR SCHEDULE
Upcoming
1 February 2023
Insight into Subtropical Marine Cloud Dynamics from Unsupervised Classification with a Rotationally Invariant Autoencoder
Speaker: Jim Franke, Geophysical Sciences Graduate Student at University of Chicago
8 February 2023
Algorithmic Innovations for Accelerating Implementations of Artificial Intelligence
Speaker: Sanmukh Kuppannagari, Assistant Professor in the Department of Computer and Data Sciences at Case Western Reserve University
15 February 2023
TBD
Speaker: Brahim Mustapha, Accelerator Physicist at Argonne National Laboratory
Past
2023
25 January 2023
VarMiON: A Variationally Mimetic Operator Network
Speaker: Deep Ray, Postdoctoral Research Associate in the Viterbi School of Engineering at the University of Southern California
18 January 2023
Towards Practical Large-scale Least Squares Solvers with Iterative Right Random Sketching
Speaker: Nathaniel Pritchard, Statistics Graduate Student at the University of Wisconsin
11 January 2023
Data-driven Models for Accelerating Unsteady Flow Simulations in Complex Geometries
Speaker: Shivam Barwey, Postdoctoral Appointee at Argonne and PhD candidate of Aerospace Engineering at the University of Michigan
2022
21 December 2022
Hardware-Conscious Optimization of the Quantum Toffoli Gate
Speaker: Max Bowman, Electrical and Computer Engineering Student at Rice University
14 December 2022
Privacy-Preserving Distributed Optimization Algorithms and Software Framework
Speaker: Minseok Ryu, Postdoctoral Appointee at Argonne
30 November 2022
AI2: Artificial Intelligence for Augmented Innovation
Speaker: James Evans, Professor at University of Chicago
16 November 2022
A Nonlocal Gradient for High-Dimensional Black-Box Optimization in Scientific Applications
Speaker: Guannan Zhang, Senior Research Staff in Computational and Applied Mathematics (CAM) Group at Oak Ridge National Laboratory (ORNL)
9 November 2022
Learning with Differentiable and Amortized Optimization
Speaker: Brandon Amos, Research Scientist in the Fundamental AI Research (FAIR) group at Meta AI
2 November 2022
Deterministic and Robust Control Pulse Optimization for Quantum Systems
Speaker: Xinyu Fei, Ph.D. student in Industrial and Operations Engineering at University of Michigan
27 October 2022
Asynchronous Distributed Bayesian Optimization at HPC Scale
Speaker: Romain Egélé, Master’s student in artificial intelligence and advanced visual computing at École Polytechnique, Palaiseau, Île-de-France, France
19 October 2022
Practical Primal-Dual Hybrid Gradient for Large-Scale Linear Programming using Restarts and Other Enhancements
Speaker: Oliver Hinder, Assistant Professor at the University of Pittsburgh
12 October 2022
Likelihood-Weighted Active Learning with Application to Bayesian Optimization, Uncertainty Quantification, and Decision Making in High Dimensions
Speaker: Themis Sapsis, Professor of Mechanical and Ocean Engineering at MIT
5 October 2022
Privacy Algorithms: Current Developments and Future Directions
Speaker: Olivera Kotevska, Research Scientist at ORNL
29 September 2022
Machine Learning for Combinatorial and Global Optimization
Speaker: Can Li, Assistant Professor at Purdue University
21 September 2022
Modulus: Making Scientific Deep Learning Accessible and Scalable
Speaker: Nicholas Geneva, Mechanical Engineering PhD Student at the University of Notre Dame