LANS Informal Seminar: Richard Mills
Richard Mills, Principal Computational Engineer, MCS/ANL: Scalable Unsupervised Learning Approaches for Analysis of Large Geospatiotemporal Datasets
Richard Mills, Principal Computational Engineer, MCS/ANL: Scalable Unsupervised Learning Approaches for Analysis of Large Geospatiotemporal Datasets
Daniel A. Tortorelli, Director for the Center of Design and Optimization, (LLNL); George B. Grim Professor of Mechanical S: Computational Design Optimization
Mirko Hahn, Predoctoral Appointee, MCS/ANL: Set-valued steepest descent for binary topology and control optimization
Aleksandr Aravkin, Assistant Professor (University of Washington Applied Math Department): Fast methods for nonsmooth nonconvex problems using variable projection
Benjamin Reiniger, Visiting Assistant Professor, Illinois Institute of Technology : A hypergraph primer and some problems
Nicola Ferrier, Computer Scientist: High Throughput 3D Digitization of Pinned Insect Collections
Stefan Wild, Computational Mathematician, MCS/ANL: Derivative-Free Robust Optimization By Outer Approximations
Nathan Krislock, Assistant Professor, Northern Illinois University: BiqCrunch: Solving Binary Quadratic Problems Efficiently Using Semidefinite Optimization
Matt Otten, Maria Goeppert Mayer Fellowship - Argonne Scholar
Trading Space for Time: Dealing with Noise in Quantum Computers
Susan Hunter, Assistant Professor, School of Industrial Engineering, Purdue University: Bi-objective simulation optimization on integer lattices using the epsilon-constraint method in a retrospective approximation framework