Session Title Speaker Type Materials Year
Webinar

The Role of Uncertainty Quantification in Machine Learning

David Stracuzzi
Research Scientist
Sandia National Laboratories
Webinar 2020
Webinar

A Practical Introduction To Gaussian Process Regression

Robert “Bobby” Gramacy
Virginia Tech
Webinar Materials 2020
Webinar

Statistical Engineering for Service Life Prediction of Polymers

Adam Pintar
Mathematical Statistician
National Institute of Standards and Technology
Webinar
Recording
2020
Webinar

Can AI Predict Human Behavior?

Dustin Burns
Senior Scientist
Exponent
Webinar
Recording
2020
Webinar

The Science of Trust of Autonomous Unmanned Systems

Reed Young
Program Manager for Robotics and Autonomy
Johns Hopkins University Applied Physics Laboratory
Webinar
Recording
2020
Webinar

KC-46A Adaptive Relevant Testing Strategies to Enable Incremental Evaluation

J. Quinn Stank
Lead KC-46 Analyst
AFOTEC
Webinar
Recording
2020
Webinar

Sequential Testing and Simulation Validation for Autonomous Systems

Jim Simpson
Principal
JK Analytics
Webinar
Recording
2020
Webinar

Development and Analytic Process Used to Develop a 3-Dimensional Graphical User Interface System for Baggage Screening

Charles McKee
President and CEO
Taverene Analytics LLC
Webinar
Recording
2020
Webinar

The Role of Statistical Engineering in Creating Solutions for Complex Opportunities

Geoff Vining
Professor
Virginia Tech
Webinar
Recording
2020
Webinar

Adoption Challenges in Artificial Intelligence and Machine Learning for Analytic Work Environments

Laura McNamara
Distinguished Member of Technical Staff
Sandia National Laboratories
Webinar 2020
Webinar

Connecting Software Reliability Growth Models to Software Defect Tracking

Lance Fiondella
Associate Professor
University of Massachusetts
Webinar
Recording
2020
Webinar

Taking Down a Turret: Introduction to Cyber Operational Test and Evaluation

OED Cyber Lab
IDA
Webinar

Recording
2020
Webinar

A HellerVVA Problem: The Catch-22 for Simulated Testing of Fully Autonomous Systems

Daniel Porter
Research Staff Member
IDA
Webinar
Recording
2020
Breakout

Open Architecture Tradeoffs (OAT): A simple, computational game engine for rapidly exploring hypotheses in Battle Management Command and Control (BMC2)

Shelley Cazares Breakout 2019
Tutorial

Tutorial: Statistics Boot Camp

Kelly Avery
IDA
Tutorial 2019
Breakout

Reasoning about Uncertainty with the Stan Modeling Language

John Haman Breakout 2019
Keynote

Wednesday Keynote Speaker II

Laura Freeman
Associate Director, ISL
Hume Center for National Security and Technology, Virginia Tech
Keynote 2019
Breakout

Sequential Testing for Fast Jet Life Support Systems

Darryl Ahner Breakout 2019
Breakout

When Validation Fails: Analysis of Data from an Imperfect Test Chamber

Kendal Ferguson Breakout 2019
Breakout

Waste Not, Want Not: A Methodological Illustration of Quantitative Text Analysis

Laura Castro-Schilo Breakout 2019
Breakout

Time Machine Learning: Getting Navy Maintenance Duration Right

Tim Kao Breakout 2019
Breakout

Comparison of Methods for Testing Uniformity to Support the Validation of Simulation Models used for Live-Fire Testing

Shannon Shelburne Breakout 2019
Breakout

Uncertainty Quantification: Combining Large Scale Computational Models with Physical Data for Inference

Dave Higdon Breakout 2019
Breakout

Target Location Error Estimation Using Parametric Models

James Brownlow Breakout 2019
Tutorial

Tutorial: Cyber Attack Resilient Weapon Systems

Barry Horowitz
Professor, Systems Engineering
University of Virginia
Tutorial 2019