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Mathematics and Computer Science Division

LANS Seminars

Schedule for the 2022 - 2023 season

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