Invited Talks

Efficient DNN Architectures for Time Series Classification

Sandia ML/DL Workshop, virtual

Estimating Predictive Uncertainty in Scientific Machine Learning

UQ & ML in Engineering Applications · Sandia ML/DL Workshop, virtual

Embracing Randomness for Uncertainty Quantification in Neural Networks

Conference on Data Analysis (CoDA), Santa Fe, NM

Deep Learning Techniques for the Detection of DNA Regulatory Motifs

Sandia ML/DL Workshop, Albuquerque, NM

Fusing Machine Learning and Uncertainty Quantification Methods

Sandia ML/DL Workshop, Albuquerque, NM

Beyond Images: Extending Deep Learning into Emerging Data-Driven Applications

Optimization & UQ Department, Sandia National Labs, Albuquerque, NM

Local Active Subspaces for Dimension Reduction

SIAM Workshop on Parameter Space Dimension Reduction (SIAM-DR), Pittsburgh, PA

Host: Paul Constantine

An Ensemble Grouping Framework Based on Voronoi Piecewise Surrogate Models

SIAM Conference on Computational Science and Engineering (SIAM-CSE), Atlanta, GA

Host: Eric Phipps

Mesh Improvement via Constrained Resampling: A Comprehensive Approach

Methods and Algorithms, Los Alamos National Laboratory, Los Alamos, NM

Host: Mikhail Shashkov

Recursive k-d Darts Sampling for Exploring High-Dimensional Spaces

SIAM Conference on Uncertainty Quantification (SIAM-UQ), Lausanne, Switzerland

Host: Fabio Nobile

Locally-Accurate Surrogate Models for Credible High-Dimensional Data Analysis

CSE Department, New Mexico Tech (NMT), Socorro, NM

Host: Abdelmounaam Rezgui

VPS: Voronoi Piecewise Surrogates for High-Dimensional Data Fitting

4th SRI Annual Workshop on UQ (UQAW), KAUST, Thuwal, Saudi Arabia

Hosts: Raul Tempone, Omar Knio

Feature-Preserving Spatial Density Tuning of a Maximal Random Disk Packing

13th US National Congress on Computational Mechanics, San Diego, CA

Host: Scott A. Mitchell

LS Polynomial Optimization for Constructing Voronoi Piecewise Surrogates

Optimization & UQ Department, Sandia National Labs, Albuquerque, NM

Host: Fabio Nobile

An Overview of Probabilistic Graphical Models

Computational Visualization Center, UT Austin

Host: Chandrajit Bajaj

Feature Detection and Parameter Estimation of Random Data Using Fourier and Signal Processing Methods

Optimization & UQ Department, Sandia National Labs, Albuquerque, NM

Host: James R. Stewart

SerDes Channel Equalization: FFE and DFE approaches

Cisco PCB-HW Conference, Cisco Systems, San Jose, CA

Cost-Effective DSP Models for DNA Sequence Analysis

Industrial Affiliates Conference, ECE, UC Davis

On the Anatomy of a Gigabit Eye Diagram

Engineering Learning Group Interns Convention, Cisco Systems, Milpitas, CA

Best poster award

An Efficient DSP Framework for Gene Prediction

CITRIS Corporate Sponsor Day, MSRI, Berkeley, CA

Multirate Signal Processing Algorithm for Exons Detection

Industrial Affiliates Conference, ECE, UC Davis