Session Title Speaker Type Materials Yr

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

[162] Shelley Cazares[165] Breakout 2019

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

[162] Shannon Shelburne[165] Breakout 2019

Valuing Human Systems Integration: A Test and Data Perspective

[162] Jeffrey Thomas[165] Breakout 2019

Air Force Human Systems Integration Program

[162] Anthony Thomas[165] Breakout 2019

Toward Real-Time Decision Making in Experimental Settings

[162] Devin Francom[165] Breakout 2019

Area Validation for Applications with Mixed Uncertainty

[162] Laura White[165] Breakout 2019

A 2nd-Order Uncertainty Quantification Framework Applied to a Turbulence Model Validation Effort

[162] Robert Baurle[165] Breakout 2019

Sources of Error and Bias in Experiments with Human Subjects

[162] Poornima Madhavan[165] Breakout 2019

Deep Reinforcement Learning

[162] Benjamin Bell[165] Breakout 2019

Decentralized Signal Processing and Distributed Control for Collaborative Autonomous Sensor Networks

[162] Ryan Goldhahn[165] Breakout 2019

An Overview of Uncertainty-Tolerant Decision Support Modeling for Cybersecurity

[162] Samrat Chatterjee[165] Breakout 2019

Software Reliability and Security Assessment: Automation and Frameworks

[162] Lance Fiondella[165] Breakout 2019

AI & ML in Complex Environment

[162] Tien Pham[165] Breakout 2019

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

[162] Laura Castro-Schilo[165] Breakout 2019

Machine Learning Prediction With Streamed Sensor Data: Fitting Neural Networks using Functional Principal Components

[162] Chris Gotwalt[165] Breakout 2019

Screening Designs for Resource Constrained Deterministic M&S Experiments: A Munitions Case Study

[162] Christopher Drake[165] Breakout 2019

The Isle of Misfit Designs: A Guided Tour of Optimal Designs That Break the Mold

[162] Caleb King[165] Breakout 2019

Adapting Operational Test to Rapid-Acquisition Programs

[162] Panel Discussion[165] Breakout 2019

Sample Size Calculations for Quiet Sonic Boom Community Surveys

[162] Jasme Lee[165] Breakout 2019

Improved Surface Gunnery Analysis with Continuous Data

[162] Benjamin Ashwell & V. Bram Lillard[165] Breakout 2019

Human in the Loop Experiment Series Evaluating Synthetic Vision Displays for Enhanced Airplane State Awareness

[162] Kathryn Ballard[165] Breakout 2019

Statistical Engineering and M&S in the Design and Development of DoD Systems

[162] Doug Ray & Melissa Jablonski[165] Breakout 2019

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

[162] Dave Higdon[165] Breakout 2019

A User-Centered Design Approach to Military Software Development

[162] Pam Savage-Knepshield[165] Breakout 2019

Engineering first, Statistics second: Deploying Statistical Test Optimization (STO) for Cyber

[162] Kedar Phadke[165] Breakout 2019

Validation and Uncertainty Quantification of Complex Models

[162] Kassie Fronczyk[165] Breakout 2019

Communicating Statistical Concepts and Results: Lessons Learned from the US Service Academies

[162] Panel Discussion[165] Breakout 2019

Multivariate Density Estimation and Data-enclosing Sets Using Sliced-Normal Distributions

[162] Luis Crespo[165] Breakout 2019

A Statistical Approach for Uncertainty Quantification with Missing Data

[162] Mark Andrews[165] Breakout 2019

Exploring Problems in Shipboard Air Defense with Modeling

[162] Ralph Donnelly & Benjamin Ashwell[165] Breakout 2019

Sequential Testing for Fast Jet Life Support Systems

[162] Darryl Ahner[165] Breakout 2019

Bayesian Component Reliability Estimation: F-35 Case Study

[162] V. Bram Lillard & Rebecca Medlin[165] Breakout 2019

Applying Functional Data Analysis throughout Aerospace Testing

[162] David Harrison[165] Breakout 2019

Adopting Optimized Software Test Design Methods at Scale

[162] Justin Hunter[165] Breakout 2019

A Quantitative Assessment of the Science Robustness of the Europa Clipper Mission

[162] Kelli McCoy[165] Breakout 2019

Identifying and Contextualizing Maximum Instrument Fault Rates and Minimum Instrument Recovery Times for Europa Clipper Science through Applied Statistics and Strategic Visualizations

[162] Thomas Youmans[165] Breakout 2019

Design and Analysis of Experiments for Europa Clipper’s Science Sensitivity Model

[162] Amy Braverman[165] Breakout 2019

SLS Structural Dynamics Sensor Optimization Study

[162] Ken Toro & Jon Stallrich[165] Breakout 2019

The 80/20 rule, can and should we break it using efficient data management tools?

[162] Ghaleb Abdulla[165] Breakout 2019

Time Machine Learning: Getting Navy Maintenance Duration Right

[162] Tim Kao[165] Breakout 2019

Behavioral Analytics: Paradigms and Performance Tools of Engagement in System Cybersecurity

[162] Robert Gough[165] Breakout 2019

3D Mapping, Plotting, and Printing in R with Rayshader

[162] Tyler Morgan-Wall[165] Breakout 2019

Functional Data Analysis for Design of Experiments

[162] Tom Donnelly[165] Breakout 2019

Test and Evaluation of Emerging Technologies

[162] Dr. Greg Zacharias, Chief Scientist Operational Test and Evaluation[165] Breakout 2019

Challenges in Test and Evaluation of AI: DoD’s Project Maven

[162] Jane Pinelis[165] Breakout 2019

Demystifying the Black Box: A Test Strategy for Autonomy

[162] Dan Porter[165] Breakout 2019

Satellite Affordability in LEO (SAL)

[162] Matthew Avery[165] Breakout 2019

Statistical Process Control and Capability Study on the Water Content Measurements in NASA Glenn’s Icing Research Tunnel

[162] Emily Timko[165] Breakout 2019

Reasoning about Uncertainty with the Stan Modeling Language

[162] John Haman[165] Breakout 2019

Target Location Error Estimation Using Parametric Models

[162] James Brownlow[165] Breakout 2019

Anatomy of a Cyberattack: Standardizing Data Collection for Adversarial and Defensive Analyses

[162] Jason Schlup[165] Breakout 2019

A Survey of Statistical Methods in Aeronautical Ground Testing

[162] Drew Landman[165] Breakout 2019

Your Mean May Not Mean What You Mean It to Mean

[162] Ken Johnson[165] Breakout 2019

A Causal Perspective on Reliability Assessment

[162] Lauren Hund[165] Breakout 2019

Hypergames for Control System Security

[162] Arnab Bhattacharya[165] Breakout 2019

Probabilistic Data Synthesis to Provide a Defensible Risk Assessment for Army Munition

[162] Kevin Singer[165] Breakout 2019

Using Bayesian Neural Networks for Uncertainty Quantification of Hyperspectral Image Target Detection

[162] Daniel Ries[165] Breakout 2019

Constructing Designs for Fault Location

[162] Erin Lanus[165] Breakout 2019

Accelerating Uncertainty Quantification for Complex Computational Models

[162] James Warner[165] Breakout 2019

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

[162] Kendal Ferguson[165] Breakout 2019

Technical Leadership Panel-Tuesday Afternoon

[162] Catherine Warner[165]
Science Advsior
DOT&E
Breakout 2016

Technical Leadership Panel-Tuesday Afternoon

[162] Paul Roberts[165]
Chief Engineer
Engineering and Safety Center
Breakout 2016

Technical Leadership Panel-Tuesday Afternoon

[162] Frank Peri[165]
Deputy Director
Langley Engineering Directorate
Breakout 2016

Technical Leadership Panel-Tuesday Afternoon

[162] Peter Matisoo[165]
Technical Director
COTF
Breakout 2016

Technical Leadership Panel-Tuesday Afternoon

[162] Jeff Olinger[165]
Technical Director
AFOTEC
Breakout 2016

Combining information for Realiability Assesment-Tuesday Morning

[162] Alyson Wilson[165]
North Carolina State University
Breakout materials 2016

Reliability Growth in T&E – Summary of National Research Council’s Committee on National Statistics Report Finding-Tuesday Morning

[162] Art Fries[165]
Research Staff Member
IDA
Breakout materials 2016

Design and Analysis of Margin Testing in Support of Product Qualification for High Reliability Systems

[162] Justin Newcomer[165]
Sandia National Lab
Breakout 2016

Three Case Studies Comparing Traditional versus Modern Test Designs

[162] Ray Hill[165]
Air Force instite of Technology
Breakout materials 2016

Supersaturated Designs: Construction and Analysis

[162] David Edwards[165]
Virginia Commonwealth University
Breakout 2016

Statistically Defensible Experiment Design for Wind Tunnel Characterization of Subscale Parachutes for Mission to Mars

[162] Drew Landman[165]
Old Dominion Univerity
Breakout materials 2016

Managing Uncertainty in the Context of Risk Acceptance Decision Making at NASA: Thinking Beyond the Model

[162] Homayoon Dezfuli[165]
NASA
Breakout materials 2016

Acceptability of Radiation Detection Systems

[162] Dennis Leber[165]
NIST
Breakout materials 2016

Risk Analysis for Orbital Debris Wire Harness Failure Assessment for the Joint Polar Satellite System

[162] Joel Williamsen[165]
IDA
Breakout materials 2016

Application of Statistical Engineering to Mixture Problems With Process Variables

[162] Roger Hoerl[165]
Union College
Breakout materials 2016

The Sixth Sense: Clarity through Statistical Engineering

[162] Jennifer Van-Mullekom[165]
DuPont
Breakout 2016

Case Studies for Statistical Engineering Applied to Powered Rotorcraft Wind-Tunnel Tests

[162] Sean Commo[165]
NASA
Breakout 2016

Bayesian Adaptive Design for Conformance Testing with Bernoulli Trials

[162] Adamn Pintar[165]
NIST
Breakout materials 2016

Statistical Models for Combining Information: Styrker Reliability Case Study

[162] Rebecca Dickinson[165]
IDA
Breakout materials 2016

Bayesian Estimation of Reliability Growth

[162] Jim Brownlow[165]
U.S. Air Force 812TSS/ENT
Breakout materials 2016

Recent use of Statistical Methods in NASA Aeroscience Testing Research and Development Activities

[162] Eric Walker[165]
NASA
Breakout 2016

“High Velocity Analytics for NASA JPL Mars Rover Experimental Design”

[162] Jim Wisnowski[165]
Co-founder/Principle
Adsurgo
Breakout materials 2016

“High Velocity Analytics for NASA JPL Mars Rover Experimental Design”

[162] Heath Rushing[165]
Co-founder/Principle
Adsurgo
Breakout materials 2016

An Engineer and a Statistician Walk into a Bar: A Statistical Engineering Negotiation

[162] Ken Johnson[165]
NASA
Breakout materials 2016

Making Statistically Defensible Testing ‘The way we do things around here’

[162] Greg Hutto[165]
Air Force 96th Test Wing
Breakout 2016

Using Sequential Testing to Address Complex Full-Scale Live Fire Test and Evaluation

[162] Darryl Ahner[165]
AFIT, STAT COE
Breakout 2016

Aerospace Measurement and Experimental System Development Characterization

[162] Ray Rhew[165]
NASA
Breakout materials 2016

Leveraging Design for Variation to Improve both Testing and Design – A Case Study on Probabilistic Design of Bearings

[162] Jaime O’connell[165]
Pratt and Whitney
Breakout materials 2016

Importance of Modeling and Simulation in Testing and the Need for Rigorous Validation

[162] Kelly McGinnity[165]
IDA
Breakout materials 2016

Operational Cybersecurity Testing

[162] Alex Hoover[165]
DHS
Breakout materials 2016

[162] Tye Botting[165]
Research Staff Member
IDA
Breakout 2016

Recent Advances in Measuring Display Clutter

[162] David Kaber[165]
NCSU
Breakout materials 2017

Recent Advances in Measuring Display Clutter

[162] Carl Pankok[165] Breakout materials 2017

Trust in Automation

[162] Joseph Lyons[165]
Technical Advisor
Air Force Research Laboratory
Breakout materials 2017

Dose-Response Model of Recent Sonic Boom Community Annoyance Data

[162] Jonathan Rathsam[165]
NASA
Breakout 2017

Overview of Statistical Validation Tools

[162] Kelly McGinnity[165]
IDA
Breakout materials 2017

Improving the Rigor of Navy M&S VV&A through the application of Design of Experiments Methodologies and related Statistical Techniques

[162] Stargel Doane[165]
COTF
Breakout materials 2017

Validation of AIM-9X Modeling and Simulation

[162] Rebecca Dickinson[165]
Research Staff Member
IDA
Breakout materials 2017

Software Reliability Modeling

[162] Lance Fiondella[165]
UMASS
Breakout materials 2017

Reliability Growth Modeling

[162] Kellly Sullivan[165]
University of Arkansas
Breakout materials 2017

Updating R and Reliability Training with Bill Meeker

[162] Jason Freels[165]
AFIT
Breakout materials 2017

Introduction to Bayesian Statistics

[162] Alyson Wilson[165]
North Carolina State University
Breakout materials 2017

How do the Framework and Design of Experiments Fundamentally Help?

[162] Luis A. Cortes[165] Breakout 2017

How do the Framework and Design of Experiments Fundamentally Help?

[162] Mike Sheeha[165]
MITRE
Breakout 2017

Allocating Information Gathering Efforts for Selection Decisions

[162] Dennis Leber[165]
NIST
Breakout materials 2017

Allocating Information Gathering Efforts for Selection Decisions

[162] Jeffrey Herrmann[165]
University of Maryland
Breakout materials 2017

Statistical Methods for Programmatic Assessment and Anomaly Detection

[162] Douglas Brown[165]
BAH
Breakout materials 2017

Statistical Methods for Programmatic Assessment and Anomaly Detection

[162] Ray McCollum[165]
BAH
Breakout materials 2017

Flight Test and Evaluation of Airborne Spacing Application

[162] Sara Wilson[165]
NASA
Breakout materials 2017

Testing and Estimation in Sequential High-Dimension Data

[162] Eric Chicken[165]
Florida State University
Breakout materials 2017

Blast Noise Event Classification from a Spectrogram

[162] Edward Nykaza[165]
Army Engineering Research and Development Center, Construction Engineering Research Laboratory
Breakout materials 2017

Automated Software Testing Best Practices and Framework: A STAT COE Project

[162] Jim Simpson[165]
JK Analytics
Breakout materials 2017

Automated Software Testing Best Practices and Framework: A STAT COE Project

[162] Jim Wisnowski[165]
Adsurgo
Breakout materials 2017

Software Test Techniques

[162] Jose Calderon[165]
Galois
Breakout materials 2017

Combinational Testing

[162] Raghu Kacker[165]
NIST
Breakout materials 2017

Combinational Testing

[162] Rick Kuhn[165]
NIST
Breakout materials 2017

Introduction to Human Measurement

[162] Cynthia Null[165]
NASA
Breakout 2017

The (Empirical) Case for Analyzing Likert-Type Data with Parametric Tests

[162] Heather Wojton[165]
Research Staff Member
IDA
Breakout materials 2017

The System Usability Scale: A measurement Instrument Should Suit the Measurement Needs

[162] Keith Kidder[165]
AFOTEC
Breakout materials 2017

Deterministic System Design of Experiments Based Frangible Joint Design Reliability Estimation

[162] Scott West[165]
Aerospace Corporation
Breakout materials 2017

Deterministic System Design of Experiments Based Frangible Joint Design Reliability Estimation

[162] Martin Annett[165]
Aerospace Corporation
Breakout materials 2017

Deterministic System Design of Experiments Based Frangible Joint Design Reliability Estimation

[162] James Womach[165]
Aerospace Corporation
Breakout materials 2017

Machine Learning: Overview and Applications to Test

[162] Takayuki Iguchi[165]
AFOTEC
Breakout materials 2017

Machine Learning: Overview and Applications to Test

[162] Megan Lewis[165]
AFOTEC
Breakout materials 2017

Range Adversarial Planning Tool for Autonomy Test and Evaluation

[162] Chad Hawthorne[165]
JHU/APL
Breakout 2017

Search for Extended Test Design Methods for Complex Systems of Systems

[162] Alex Alaniz[165]
AFOTEC
Breakout materials 2017

The Future of Engineering at NASA Langley

[162] Joe Gasbarre[165]
NASA
Breakout materials 2017

Combinatorial Testing for Link-16 Developmental Test and Evaluation

[162] Tim Mclean[165]
MCTSSA
Breakout materials 2017

Censored Data Analysis for Performance Data

[162] Bram Lillard[165]
IDA
Breakout materials 2017

Estimating the Distribution of an Extremum using a Peaks-Over-Threshold Model and Monte Carlo Simulation

[162] Adam Pintar[165]
NIST
Breakout materials 2017

Design & Analysis of a Computer Experiment for an Aerospace Conformance Simulation Study

[162] David Edwards[165]
Virginia Commonwealth University
Breakout materials 2017

Optimal Multi-Response Designs

[162] Sarah Burke[165]
STAT COE
Breakout 2017

Augmenting Definitive Screening Designs

[162] Abby Nachtsheim[165]
ASU
Breakout materials 2017

Integrated Uncertainty Quantification for Risk and Resource Management: Building Confidence in Design

[162] Eric Walker[165]
NASA
Breakout materials 2017

Background of NASA’s Juncture Flow Validation Test

[162] Joseph Morrison[165]
NASA
Breakout 2017

A Study to Investigate the Use of CFD as a Surrogate for Wind Tunnel Testing in the High Supersonic Speed Regime

[162] Eric Walker[165]
NASA
Breakout materials 2017

A Study to Investigate the Use of CFD as a Surrogate for Wind Tunnel Testing in the High Supersonic Speed Regime

[162] Joseph Morrison[165]
NASA
Breakout materials 2017

Communicating Complex Statistical Methodologies to Leadership

[162] Jane Pinelis[165]
Johns Hopkins University Applied Physics Lab or JHU
Breakout materials 2017

Communicating Complex Statistical Methodologies to Leadership

[162] Paul Johnson[165]
MCOTEA
Breakout materials 2017

DOE Case Studies in Aerospace Research and Development

[162] Drew Landman[165]
Old Dominion University
Breakout materials 2017

Sample Size and Considerations for Statistical Power

[162] Vance Oas[165]
AFOTEC
Breakout materials 2017

Sample Size and Considerations for Statistical Power

[162] Nick Garcia[165]
AFOTEC
Breakout materials 2017

Experimental Design for Composite Pressure Vessel Life Prediction

[162] Anne Drsicoll[165]
Virginia Tech
Breakout materials 2017

Improving Sensitivity Experiments

[162] Douglas Ray[165]
US Army RDECOM ARDEC
Breakout materials 2017

Improving Sensitivity Experiments

[162] Kevin Singer[165]
US Army
Breakout materials 2017

Sequential Experimentation for a Binary Response – The Break Separation Method

[162] Darsh Thakkar[165]
RIT-S
Breakout materials 2017

Sequential Experimentation for a Binary Response – The Break Separation Method

[162] Rachel Silvestrini[165]
RIT-S
Breakout materials 2017

Carrier Reliability Model Validation

[162] Dean Thomas[165]
IDA
Breakout 2017

Model Based Systems Engineering Panel Discussion

[162] John Holladay[165]
NASA
Breakout materials 2017

Resampling Methods

[162] David Ruth[165]
United States Naval Academy
Breakout materials 2017

Structured Decision Making

[162] Christine Anderson Cook[165]
LANL
Breakout materials 2017

Do Asymmetries in Nuclear Arsenals Matter?

[162] Jane Pinelis[165]
Johns Hopkins University Applied Physics Lab or JHU
Breakout materials 2017

Communication in Statistics & the Five Hardest Concepts

[162] Jennifer Van-Mellekom[165]
Virginia Tech
Breakout 2017

Uncertainty Quantification: What is it and Why it is Important to Test, Evaluation, and Modeling and Simulation in Defense and Aerospace

[162] Peter Qian[165]
University of Wisconsin and SmartUQ
Breakout materials 2017

Model Uncertainty and its Inclusion in Testing Results

[162] Stever Lund[165]
NIST
Breakout materials 2017

VV&UQ – Uncertainty Quantification for Model-Based Engineering of DoD Systems

[162] Douglas Ray[165]
US Army RDECOM ARDEC
Breakout materials 2017

VV&UQ – Uncertainty Quantification for Model-Based Engineering of DoD Systems

[162] Melissa Jablonski[165]
US Army
Breakout materials 2017

Data Visualization

[162] Lori Perklins[165]
NASA
Breakout 2017

Big Data, Big Think

[162] Robert Beil[165]
NASA
Breakout materials 2017

Project Data Flow Is an Engineered System

[162] Ken Johnson[165]
NASA
Breakout materials 2017

Comparing Experimental Designs

[162] Tom Donnelly[165]
JMP
Breakout materials 2017

Testing Autonomous Systems

[162] Darryl Ahner[165]
Director
AFIT
Breakout materials 2018

Screening Experiments with Partial Replication

[162] David Edwards[165]
Virginia Commonwealth University
Breakout materials 2018

What is Bayesian Experimental Design?

[162] Blaza Toman[165]
Statistical Engineering Division, NIST
Breakout materials 2018

DOE and Test Automation for System of Systems TE

[162] Jim Simpson[165]
JK Analytics
Breakout materials 2018

Building A Universal Helicopter Noise Model Using Machine Learning

[162] Eric Greenwood[165]
Aeroacoustics Branch
Breakout materials 2018

Machine Learning to Assess Piolts’ Cognitive State

[162] Tina Heinich[165]
Computer Engineer, OCIO Data Science Team
AST, Data Systems
Breakout materials 2018

CYBER Penetration Testing and Statistical Analysis in DT&E

[162] Timothy McLean[165] Breakout materials 2018

Method for Evaluating the Quality of Cybersecurity Defenses

[162] Shawn Whetstone[165]
Research Staff Member
IDA
Breakout materials 2018

Metrics to Characterize Temporal patterns in Lifespans of Artifacts

[162] Soumyo Moitra[165]
Software Engineering Institute Carnegie Mellon Univeristy
Breakout materials 2018

Uncertainty Quantification with Mixed Uncertainty Sources

[162] Tom West[165] Breakout 2018

System Level Uncertainty Quanification for Low-Boom Supersonic Flight Vehicles

[162] Ben Phillips[165] Breakout 2018

Uncertainty Quantification and Analysis at The Boeing Company

[162] John Schaefer[165]
Sandia National Labortories
Breakout materials 2018

Interface design for analysts in a data and analysis-rich environment

[162] Karin Butler[165]
Sandia National Labortories
Breakout materials 2018

Asparagus is the most articulate vegetable ever

[162] Kerstan Cole[165] Breakout 2018

Mitigating Pilot Disorientation with Synthetic Vision Displays

[162] Kathryn Ballard[165]
NASA
Breakout materials 2018

Sage III Seu Statistical Analysis Model

[162] Ray McCollum[165]
Booz Allen Hamilton
Breakout materials 2018

Initial Validation of the Trust of Automated System Test

[162] Heather Wojton[165]
Research Staff Member
IDA
Breakout materials 2018

Operational Evaluation of a Flight-deck Software Application

[162] Sara Wilson[165]
NASA
Breakout materials 2018

Comparing M&S Output to Live Test Data: A Missile System Case Study

[162] Kelly Avery[165]
Reasearch Staff member
IDA
Breakout materials 2018

NASA’s Human Exploration Research Analog (HERA): An analog mission for isolation, confinement, and remote conditions in space exploration scenarios

[162] Shelley Cazares[165]
NASA
Breakout 2018

Reliability Fundamentals and Analysus Lessons Learned

[162] Dan Telford[165]
AFOTEC
Breakout materials 2018

Design and Analysis of Nonlinear Models for the Mars 2020 Rover

[162] Jim Wisnowski[165] Breakout materials 2018

Cases of Second-Order Split-Plot Designs

[162] Luis Cortes[165]
MITRE
Breakout materials 2018

The Development and Execution of Split-Plot Designs In Navy Operational Test and Evaluation: A Practitioner’s Perspective

[162] Stargel Doane[165] Breakout 2018

B-52 Radar Modernization Test Design Considerations

[162] Stuart Corbett[165]
AFOTEC
Breakout materials 2018

B-52 Radar Modernization Test Design Considerations

[162] Joseph Maloney[165]
AFOTEC
Breakout materials 2018

Experimental Design of a Unique Force Measurement System Calibration

[162] Ken Toro[165] Breakout 2018

Application of Design of Experiments to a Calibration of the National Transonic Facility

[162] Matt Rhode[165]
NASA
Breakout materials 2018

Application of Design of Experiments to a Calibration of the National Transonic Facility

[162] Matt Bailey[165]
Jacobs Technology Inc
Breakout materials 2018

The Use of DOE vs OFAT in the Calibration of AEDC Wind Tunnels

[162] Rebecca Rought[165]
AEDC/TSTA
Breakout materials 2018

Initial Investigation into the Psychoacoustic Properties of Small Unmanned Aerial System Noise

[162] Andrew Chrisrian[165]
Structural Acoustics Branch
Breakout materials 2018

Combining Human Factors Data and Models of Human Performance

[162] Cynthia Null[165]
Technicial Fellow for Human Factors
Breakout materials 2018

A Multi-method, Triangulation Approach to Operational Testing

[162] Daniel Porter[165]
Research Staff Member
IDA
Breakout materials 2018

Illustrating the Importance of Uncertainty Quantification (UQ) in Munitions Modeling

[162] Donald Calucci[165] Breakout 2018

Space-Filling Designs for Robustness Experiments

[162] Roshan Vengazhiyil[165] Breakout 2018

Introduction of Uncertainty Quantification and Industry Challenges

[162] Peter Chien[165] Breakout 2018

The Effect of Extremes in Small Sample Size on Simple Mixed Models: A Comparison of Level-1 and Level-2 Size

[162] Kristina Carter[165]
Research Staff Member
IDA
Breakout materials 2018

Evaluating Deterministic Models of Time Series by Comparison to Observations

[162] Amy Braverman[165]
Jet Propulsion Laboratory, California Institute of Technology
Breakout materials 2018

Challenger Challenge: Pass-Fail Thinking Increases Risk Measurably

[162] Ken Johnson[165]
Applied Statistician
NASA Engineering and Safety Center
Breakout materials 2018

Doppler Assisted Sensor Fusion for Tracking and Exploitation

[162] J. Derek Tucker[165]
Sandia National Laboratories
Breakout materials 2018

XPCA: A Copula-based Generalization of PCA for Ordinal Data

[162] Cliff Anderson-Bergman[165]
Sandia National Laboratories
Breakout materials 2018

Insights, Predictions, and Actions: Descriptive Definitions of Data Science, Machine Learning, and Artificial Intelligence

[162] Andrew Flack[165]
Research Staff Member
IDA
Breakout materials 2018

Can AI Predict Human Behavior?

[162] Dustin Burns[165]
Senior Scientist
Exponent
Breakout
2020

A Notional Case Study of Uncertainty Analysis in Live Fire Modeling and Simulation

[162] Thomas Johnson[165]
Research Staff Member
IDA
Breakout 2020

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

[162] J. Quinn Stank[165]
Lead KC-46 Analyst
AFOTEC
Breakout
2020

An Approach to Assessing Sterilization Probabilistically

[162] Mike Dinicola[165]
System Engineer
Jet Propulsion Laboratory
Breakout 2020

Reevaluating Planetary Protection Bioburden Accounting and Verification Reporting

[162] James Benardini[165]
Sr. Planetary Protection Engineer
Jet Propulsion Laboratory
Breakout 2020

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

[162] Charles McKee[165]
President and CEO
Taverene Analytics LLC
Breakout
2020

Quantifying Computational Uncertainty in Supersonic Flow Predictions without Experimental Measurements

[162] Thomas West[165]
NASA Langley
Breakout 2020

Title Coming Soon

[162] Kedar Phadke[165]
Phadke Associates, Inc
Breakout 2020

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

[162] Laura McNamara[165]
Distinguished Member of Technical Staff
Sandia National Laboratories
Breakout
2020

Building an End-to-End Model of Super Hornet Readiness

[162] Benjamin Ashwell[165]
Research Staff Member
IDA
Breakout 2020

The OTA Perspective on the Challenges of Testing in the Evolving Acquisition Environment and Proposed Mitigations

[162] Leisha Scheiss[165]
AFOTEC
Breakout 2020

Quantifying Uncertainty in Reporting System Usability Scale Results

[162] Nick Clark[165]
Assistant Professor
West Point – Math Department
Breakout 2020

Uncertainty Quantification and Check Standard Testing at NASA Glenn Research Facilities

[162] Erin Hubbard[165]
Data Engineer
Jacobs / NASA Glenn Research Center
Breakout 2020

STAT COE Autonomy Test and Evaluation Workshop Highlights

[162] Troy Welker[165]
Analyst
STAT COE
Breakout 2020

Automated Feature Extraction

[162] Samuel Humphries[165]
Student
United States Military Academy
Breakout 2020

Predicting System Failures – A Statistical Approach to Reliability Growth Modeling

[162] Kate Sanborn[165]
Invited Speaker
North Carolina State University
Breakout 2020

Graph link prediction in computer networks using Poisson Matrix Factorisation

[162] Melissa Turcotte[165]
Research Scientist
Los Alamos National Laboratory
Breakout 2020

Trusted Collaborative Autonomous Systems for Multi Domain Operations

[162] Robert Murphey[165]
Principal Research Engineer
Georgia Tech Research Institute
Breakout 2020

Practical Applications for Functional Data Analysis in T&E

[162] James Wisnowski[165]
Principal Consultant and Co-owner
Adsurgo LLC
Breakout 2020

D-Optimally Based Sequential Test Method for Ballistic Limit Testing

[162] Leonard Lombardo[165]
Mathematician
U.S. Army Aberdeen Test Center
Breakout
2020

Improving Cyber Resiliency through the Application of Behavioral Science to Cybersecurity

[162] Poornima Madhavan[165]
Principal Behavioral Scientist
MITRE
Breakout 2020

AI for Cyber

[162] Adam Cardinal-Stakenas[165]
Data Science Lead
NSA
Breakout 2020

Spectral Embedding and Cyber Networks

[162] David Marchette[165]
Principal Scientist
Naval Surface Warfare Center, Dahlgren Division
Breakout 2020

Generalized Linear Multilevel Model Applied to a Forced-Choice Psychoacoustic Test

[162] Matthew Boucher[165]
Research Engineer
NASA Langley Research Center
Breakout 2020

A Path to Fielding Autonomous Systems

[162] Craig Lennon[165]
Autonomy CoI TEVV co-lead
CCDC Army Research Lab
Breakout 2020

Finding a Cheater: Machine Learning and the Dice Game “Craps”

[162] Paul Johnson[165]
Scientific Advisor
MCOTEA
Breakout 2020

Dynamic Model Updating for Streaming Classification and Clustering

[162] Alexander Foss[165]
Senior Statistician
Sandia National Laboratories
Breakout 2020

A Validation Case Study: The Environment Centric Weapons Analysis Facility

[162] Elliot Bartis[165]
Research Staff Member
IDA
Breakout
2020

The Role of Uncertainty Quantification in Machine Learning

[162] David Stracuzzi[165]
Research Scientist
Sandia National Laboratories
Breakout
2020

Data Analysis for Special Operations Selection Programs

[162] Nicholas Cunningham[165]
Cadet
United States Military Academy
Breakout 2020

Statistical Analysis of a Transonic Aerodynamic Calibration

[162] Lindsey Drone[165]
Data Engineer
NASA Ames Research Center
Breakout 2020

Statistical Engineering for Service Life Prediction of Polymers

[162] Adam Pintar[165]
Mathematical Statistician
National Institute of Standards and Technology
Breakout
2020

Automated Road Extraction from Satellite Images

[162] Trevor Parker[165]
Cadet
United States Military Academy
Breakout 2020

The Science of Trust of Autonomous Unmanned Systems

[162] Reed Young[165]
Program Manager for Robotics and Autonomy
Johns Hopkins University Applied Physics Laboratory
Breakout
2020

The Role of Sensitivity Analysis in Evaluating the Credibility of Machine Learning

[162] Kyle Hickmann[165]
Scientist
Los Alamos National Laboratory
Breakout 2020

Ensemble and Compositional Methods for Uncertainty Calibration in Deep Learning

[162] Jize Zhang[165]
Postdoctoral Research Staff Member
Lawrence Livermore National Laboratory
Breakout 2020

Process/Workflow-Oriented View for Decision-Support Systems

[162] Nicole Murchison[165]
Systems Research and Analysis
Sandia National Laboratories
Breakout 2020

Uncertainty Quantification and Decomposition Methods for Risk-Sensitive Machine Learning

[162] Ahmad Rushdi[165]
Member of Technical Staff
Sandia National Laboratories
Breakout 2020

Sequential Testing and Simulation Validation for Autonomous Systems

[162] Jim Simpson[165]
Principal
JK Analytics
Breakout
2020

Balancing Human & Virtual Decision Making for Identifying Fraudulent Credit Card Activity

[162] Rao Abdul Hannan[165]
Cadet
United States Air Force Academy
Breakout 2020

Integrating Systems Engineering into Test Strategy Development and Systems Evaluation

[162] Charlie Middleton[165]
Test and Evaluation Expert
OSD Scientific Test and Analysis Techniques Center of Excellence
Breakout 2020

The Role of Statistical Engineering in Creating Solutions for Complex Opportunities

[162] Geoff Vining[165]
Professor
Virginia Tech
Breakout
2020

Connecting Software Reliability Growth Models to Software Defect Tracking

[162] Lance Fiondella[165]
Associate Professor
University of Massachusetts
Breakout
2020

The Challenge of Data for Predicting Human Errors

[162] Thomas Ulrich[165]
Human Factors & Reliability Associate Scientist
Idaho National Laboratory
Breakout 2020

Creating Insight into Joint Cognitive System Performance

[162] Taylor Murphy[165]
Cognitive Systems Engineer
Air Force Research Laboratory
Breakout 2020

Introduction to Structural Equation Modeling: Implications for Human-System Interactions

[162] Laura Castro-Schilo[165]
Research Statistician Developer
JMP Division, SAS Institute, Inc.
Breakout 2020

Optimal Designs for Multiple Response Distributions

[162] Brittany Fischer[165]
Arizona State University
Breakout 2020

Orbital position in space: What is Truth? A study comparing two astrodynamics systems

[162] Jason Sheldon[165]
Research Staff Member
IDA
Breakout 2020

Machine Learning Reveals that Russian IRA’s Twitter Topic Patterns Evolved over Time

[162] Emily Parrish[165]
Research Associate
IDA
Breakout 2020

Combining Physics-Based Simulation & Machine Learning for Fast Uncertainty Quantification

[162] James Warner[165]
Computational Scientist
NASA Langley Research Center
Breakout 2020

Expanding the Systems Test Engineer’s Toolbox A Multi-Criteria Decision Analysis Technique using the One-Sided Tolerance Interval for Analysis of DOE Planned Tests

[162] Michael Sheehan[165]
Principal Engineer
MITRE
Breakout 2020

Design Fractals: Visualizing the Coverage Properties of Covering Arrays

[162] Joseph Morgan[165]
Research Statistician
SAS Institute Inc
Breakout 2020

Resilience and Productive Safety Considerations for In-Time System-Wide Safety Assurance

[162] Lawrence J. Prinzel III[165]
Senior Aerospace Research Engineer
NASA Langley Research Center
Breakout 2020

Physics-Informed Deep Learning for Modeling and Simulation under Uncertainty

[162] Patrick Leser[165]
NASA Langley Research Center
Breakout 2020

Development of Predictive Models for Brain-Computer Interface Systems: A Case Study

[162] Kevin Eng[165]
Statistician
US Army CCDC Armaments Center
Breakout 2020

Employing Design of Experiments (DOE) in an Electronic Warfare Test Strategy/Design

[162] Michael Harman[165]
Statistical Test Designer
STAT COE
Breakout 2020

Bayesian Logistic Regression with Separated Data

[162] Jason Martin[165]
Test Design and Analysis Lead
U.S. Army CCDC Aviation and Missile Center
Breakout 2020

Natural Language Processing for Safety-Critical Requirements

[162] Ying Shi[165]
Safety and Mission Assurance
NASA GSFC
Breakout 2020

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

[162] Daniel Porter[165]
Research Staff Member
IDA
Breakout
2020

An end-to-end uncertainty quantification framework in predictive ocean data science

[162] Patrick Heimbach[165]
Associate Professor
University of Texas at Austin
Breakout 2020

Aliased Informed Model Selection for Nonregular Designs

[162] Carly Metcalfe[165]
PhD Candidate
Arizona State University
Breakout 2020

International journal of astrobiology

[162] Kelli Mccoy[165]
Mars Sample Return Campaign Risk Manager
JPL
Breakout 2020

Dashboard for Equipment Failure Reports

[162] Cole Molloy[165]
Johns Hopkins Applied Physics Lab
Breakout 2020

Designing Competitions that Reward Robust Algorithm Performance

[162] Kary Myers[165]
Deputy Group Leader, Statistical Sciences Group
Los Alamos National Laboratory
Breakout 2020

Post-hoc Uncertainty Quantification for Remote Sensing Observing Systems

[162] Amy Braverman[165]
Principal Statistician
Jet Propulsion Laboratory, California Institute of Technology
Breakout 2020

Bayesian Experimental Design to augment a sensor network

[162] Emily Casleton[165]
Staff Scientist
Los Alamos National Laboratory
Breakout 2020

Calibrate, Emulate, Sample

[162] Alfredo Garbuno-Inigo[165]
Postdoctoral Scholar
Caltech
Breakout 2020

Unlock Trends in Instrument Performance with Recurrence Studies and Text Analyses

[162] Rob Lievense[165]
Systems Engineer
SAS/JMP
Breakout 2020

Bayesian Calibration and Uncertainty Analysis: A Case Study Using a 2-D CFD Turbulence Model

[162] Peter Chien[165] Contributed 2018

Assessing Human Visual Inspection for Acceptance Testing: An Attribute Agreement Analysis Case Study

[162] Christopher Drake[165]
Lead Statistician
QE&SA Statistical Methods & Analysis Group
Contributed materials 2018

Leveraging Anomaly Detection for Aircraft System Health Data Stability Reporting

[162] Kyle Gartrell[165] Contributed materials 2018

Application of Adaptive Sampling to Advance the Metamodeling and Uncertainty Quantification Process

[162] Erik Axdahl[165]
Hypersonic Airbreathing Propulsion Branch NASA Langley Research Center
Contributed materials 2018

Application of Adaptive Sampling to Advance the Metamodeling and Uncertainty Quantification Process

[162] Robert Baurle[165]
Hypersonic Airbreathing Propulsion Branch NASA Langley Research Center
Contributed materials 2018

Application of Statistical Methods and Designed Experiments to Development of Technical Requirements

[162] Eli Golden[165]
U.S. ARMY ARMAMENT RESEARCH, DEVELOPMENT & ENGINEERING CENTER
Contributed materials 2018

Infrastructure Lifetimes

[162] Erika Taketa[165]
Lawrence Livermore National Laboratory
Contributed materials 2018

Infrastructure Lifetimes

[162] William Romine[165]
Lawrence Livermore National Laboratory
Contributed materials 2018

Workforce Analytics

[162] William Romine[165]
Lawrence Livermore National Laboratory
Contributed 2018

Optimizing for Mission Success in Highly Uncertain Scenarios

[162] Brian Chell[165] Contributed 2018

Test Planning for Observational Studies using Poisson Process Modeling

[162] Brian Stone[165]
AFOTEC
Contributed materials 2018

Model credibility in statistical reliability analysis with limited data

[162] Caleb King[165]
Sandia National Laboratories
Contributed materials 2018

Sound level recommendations for quiet sonic boom dose-response community surveys

[162] Jasme Lee[165]
North Carlina State Univeristy
Contributed materials 2018

Development of a Locking Setback Mass for Cluster Munition Applications: A UQ Case Study

[162] Melissa Jablonski[165]
U.S. ARMY ARMAMENT RESEARCH, DEVELOPMENT & ENGINEERING CENTER
Contributed materials 2018

Wednesday Keynote Speaker I

[162] Peter Parker[165]
Team Lead, Advanced Measurement Systems
NASA
Keynote
2019

Tuesday Keynote

[162] David Chu[165]
President
Institute for Defense Analyses
Keynote
2019

Thursday Keynote Speaker II

[162] Michael Little[165]
Program Manager, Advanced Information Systems Technology
Earth Science Technology Office, NASA Headquarters
Keynote
2019

Thursday Keynote Speaker I

[162] Wendy Martinez[165]
Director, Mathematical Statistics Research Center, Bureau of Labor Statistics
ASA President-Elect (2020)
Keynote
materials 2019

Wednesday Keynote Speaker II

[162] Laura Freeman[165]
Associate Director, ISL
Hume Center for National Security and Technology, Virginia Tech
Keynote
2019

Thursday Lunchtime Keynote Speaker

[162] T. Charles Clancy[165]
Bradley Professor of Electrical and Computer Engineering
Virginia Tech
Keynote
2019

Wednesday Keynote Speaker III

[162] Timothy Dare[165]
Deputy Director, Developmental Test, Evaluation, and Prototyping
SES OUSD(R&E)
Keynote
2019

Wednesday Lunchtime Keynote Speaker

[162] Jared Freeman[165]
Chief Scientist of Aptima and Chair of the Human Systems Division
National Defense Industry Association
Keynote
2019

Welcoming & Opening Keynote-Tuesday AM

[162] Mike Gilmore[165]
Director
DOT&E
Keynote
materials 2016

Lunch with Keynote Leadership Perspective

[162] Jon Hollday[165]
NASA
Keynote
2016

STAT Engineering Keynote-Wednesday AM

[162] Christine Anderson Cook[165]
Statistics
Los Alamos National Lab
Keynote
2016

Lunch With Leadership Perspective-Wednesday PM

[162] David Brown[165]
Deputy Assistant
Secretary of Defense, Developmental Test & Evaluation
Keynote
2016

Test and Evaluation Matter for Warfighter and We Need your Help to Make it Better

[162] Katherine Warner[165]
Science Advisor within Secretary of Defense
DOT&E
Keynote
materials 2017

Retooling Design and Development

[162] Chris Singer[165]
NASA Deputy Chief Engineer
NASA
Keynote
materials 2017

Reflections on Statistical Engineering and it’s Application

[162] Geoff Vining[165]
Professor
Virginia Tech
Keynote
materials 2017

Developmental Test and Evaluation

[162] Brian Hall[165]
Principal Deputy Director
DoD
Keynote
materials 2017

[162] Dave Duma[165]
Acting Director, Operationak Test and Evaluation, Office of the Secretary of Defense
DOT&E
Keynote
2017

Opening Keynote

[162] David Chu[165]
President
IDA
Keynote
2018

Closing Remarks

[162] Robert Behler[165]
Director
DOT&E
Keynote
2018

Testing and Analytical Challenges on the Path to Hypersonic Flight

[162] Mark Lewis[165]
Director
IDA-STPI
Keynote
materials 2018

Journey to a Data Centric Approcach for National Security

[162] Marcey Hoover[165]
Quality Assurance Director
Sandia National Labortories
Keynote
materials 2018

NASA AERONAUTICS

[162] Bob Pearce[165]
Deputy Associate Administrator
Strategy, Aeronautics Research Mission DirectorateNASA
Keynote
materials 2018

High-Effective Statistical Collaboration. The Art and the Science

[162] Peter Parker[165]
Team Lead
Advance Measurement Systems NASA
Keynote
materials 2018

Consensus Building

[162] Antonio Possolo[165]
NIST Fellow, Chief Statistician
National Institute of Standards and Technology.
Keynote
materials 2018

Opening Keynote

[162] Dave Duma[165]
Assistant Director
Operational Test and Evaluation
Keynote
2018

Morning Keynote

[162] Greg Zacharias[165]
Chief Scientist
DOT&E
Keynote
2020

Lunch Keynote

[162] Yisroel Brumer[165]
Principal Deputy Director
CAPE
Keynote
2020

Morning Keynote

[162] Michael Seablom[165]
Chief Technologist
Science Mission Directorate
Keynote
2020

Opening Keynote

[162] Norton “Norty” Schwartz[165]
President and CEO
IDA
Keynote
2020

Modeling Human-System Interaction in UAM: Design and Application of Human-Autonomy Teaming

[162] Vincent E. Houston[165]
Computer/Machine Learning Research Engineer
NASA
Poster 2020

Assessing the reliability of prediction intervals from Bayesian Neural Networks

[162] Daniel Ries[165]
Sandia National Lab
Poster 2020

Creating formal characterizations of routine contingency management in commercial aviation

[162] Jon Holbrook[165]
Cognitive Scientist
NASA
Poster 2020

Characterizing the Orbital Debris Environment Using Satellite Perturbation Anomaly Data

[162] Joel Williamsen[165]
Research Staff Member
IDA
Poster 2020

CVN 78 Sortie Generation Rate

[162] Dean Thomas[165]
Deputy Director
IDA
Poster 2020

Analyzing Miss Distance

[162] Kevin Kirshenbaum[165]
Research Staff Member
IDA
Poster 2020

Build Better Graphics

[162] Brian Vickers[165]
Research Staff Member
IDA
Poster 2020

Overarching Tracker: A trend Analysis of System performance data

[162] Caitlan Fealing[165]
Data Science Fellow
IDA
Poster 2020

A Simulation Study of Binary Response Models for the Small-Caliber Primer Sensitivity Test

[162] Zach Krogstad[165]
Data Scientist
U.S. Army
Poster 2020

Bayesian Analysis

[162] Robert Gramacy[165]
Virginia Tech
Short Course materials 2019

Categorical Data Analysis

[162] Christopher Franck[165]
Virginia Tech
Short Course materials 2019

Multivariate Data Analysis

[162] Doug Steinley[165]
University of Missouri
Short Course materials 2019

Statistical Methods for Modeling and Simulation Verification and Validation

[162] Dr. Jim Simpson, Dr. Jim Wisnowski, and Dr. Stargel Doane[165]
JK Analytics LLC, Adsurgo LLC, Analytical Arts LLC
Short Course materials 2019

Uncertainty Quantification

[162] Ralph Smith[165]
North Carolina State University
Short Course materials 2019

Design of Experiments

[162] Dr. Doug Montgomery and Dr. Caleb King[165]
Arizona State University, JMP
Short Course 2019

Overview of Design of Experiments

[162] Doug Montgomery[165]
Professor
Arizon State University
Short Course materials 2016

Experiences in Reliability Analysis

[162] Bill Meeker[165]
Professor
Iowa State University
Short Course materials 2016

Advanced Regression

[162] Geoff Vining[165]
Professor
Virginia Tech University
Short Course materials 2016

Introduction to Bayesian

[162] Robert Gramacy[165]
Associate Professor
University of Chicago
Short Course 2016

Introduction To Design of Experiments

[162] Doug Montgomery[165]
Professor
Arizona State University
Short Course 2017

Introduction To Design of Experiments

[162] Brad Jones[165]
Professor
Arizona State University
Short Course 2017

Data Farming

[162] Susan Sanchez[165]
Naval Postgraduate School
Short Course materials 2017

Split-Plot and Restricted Randomization Designs

[162] Jim Simpson[165]
JK Analytics
Short Course materials 2017

Statistical Models for Reliability Data

[162] William Meeker[165]
Professor
Iowa State University
Short Course materials 2017

Data Visualization

[162] Jim Wisnowski[165]
Adsurgo
Short Course materials 2017

Modern Response Surface Methods & Computer Experiments

[162] Robert Gramacy[165]
Virginia Polytechnic Institute and State University
Short Course materials 2018

Overview of Design of Experiments

[162] Bradley Jones[165]
Distinguished Research Fellow
JMP Division/SAS
Short Course materials 2018

Overview of Design of Experiments

[162] Doug Motgomery[165]
Regents’ Professor of Industrial Engineering and Statistics
ASU Foundation Professor of Engineering Arizona State University
Short Course materials 2018

Introduction to R

[162] Justin Post[165]
North Carlina State Univeristy
Short Course materials 2018

Survey Construction and Analysis

[162] Wendy Matrinez[165]
Bureau of Labor and Statistics
Short Course materials 2018

Survey Construction and Analysis

[162] MoonJung Cho[165]
Bureau of Labor and Statistics
Short Course materials 2018

Uncertainty Quantification

[162] Ralph Smith[165]
North Carlina State Univeristy
Short Course materials 2018

Categorical Data Analysis

[162] Chris Franck[165]
Virginia Tech
Shortcourse
2020

A Practical Introduction To Gaussian Process Regression

[162] Robert “Bobby” Gramacy[165]
Virginia Tech
Shortcourse
materials 2020

Network Analysis

[162] Doug Steinley[165]
University of Missouri
Shortcourse
2020

Introduction to Machine Learning: Classification Algorithms

[162] Martin Skarzynski[165]
DATA SOCIETY
Shortcourse
2020

Software Testing

[162] Erin Lanus[165]
Virginia Tech
Shortcourse
2020

The Path to Assured Autonomy

[162] Cara LaPointe[165]
Director
Johns Hopkins University Institute for Assured Autonomy
Spotlight
2020

Data Science from Scratch in the DoD

[162] Cade Saie[165]
Director of Data and Decision Sciences
US Army Futures Command
Spotlight
2020

Quantifying Science Needs and Mission Requirements through Uncertainty Quantification

[162] Carmen Boening[165]
Deputy Manager Earth Science Section/Research Scientist
Jet Propulsion Laboratory/California Institute of Technology
Spotlight
2020

Tutorial: Combinatorial Methods for Testing and Analysis of Critical Software and Security Systems

[162] Rick Kuhn, Dimitris Simos, and Raghu Kacker[165]
National Institute of Standards & Technology
Tutorial 2019

Tutorial: Cyber Attack Resilient Weapon Systems

[162] Barry Horowitz[165]
Professor, Systems Engineering
University of Virginia
Tutorial 2019

Tutorial: Learning Python and Julia

[162] Douglas Hodson[165]
Associate Professor
Air Force Institute of Technology
Tutorial 2019

Tutorial: Statistics Boot Camp

[162] Kelly Avery[165]
IDA
Tutorial 2019

Tutorial: Reproducible Research

[162] Andrew Flack, Kevin Kirshenbaum, and John Haman[165]
IDA
Tutorial 2019

Tutorial: Developing Valid and Reliable Scales

[162] Heather Wojton & Shane Hall[165]
IDA / USARMY ATEC
Tutorial 2019

The Bootstrap World

[162] Matt Avery[165]
Research Staff Member
IDA
Tutorial materials 2016

[162] Lance Fiondella[165]
Univeristy of Massachusetts, Dartmouth
Tutorial materials 2016

A Statistical Tool for Efficient and information-Rich Testing

[162] Bram Lillard[165]
Research Staff Member
IDA
Tutorial materials 2016

Power Anyalysis Concepts

[162] Jim Simpson[165]
JK Analytics
Tutorial materials 2016

Introduction to Survey Design

[162] Heather Wojton[165]
Research Staff Member
IDA
Tutorial materials 2016

Introduction to Survey Design

[162] Justin Mary[165]
Research Staff Member
IDA
Tutorial materials 2016

Introduction to Survey Design

[162] Jonathan Snavely[165]
IDA
Tutorial materials 2016

Bayesian Data Analysis in R/STAN

[162] Kassandra Fronczyk[165]
IDA
Tutorial materials 2016

Bayesian Data Analysis in R/STAN

[162] James Brownlow[165]
U.S. Air Force 812TSS/ENT
Tutorial materials 2016

Presenting Complex Statistical Methodologies to Military Leadership

[162] Jane Pinelis[165]
John Hopkins University, Applied Physics Lab
Tutorial materials 2016

Sensitivity Experiments

[162] Thomas Johnson[165]
Research Staff Member
IDA
Tutorial materials 2016

Sensitivity Experiments

[162] Greg Hutton[165]
U.S. Air Force , 96 Test Wing
Tutorial materials 2016

Creating Shiny Apps in R for Sharing Automated Statistical Products

[162] Randy Griffiths[165]
U.S. Army Evaluation Center
Tutorial materials 2018

Determination of Power for Complex Experimental Designs

[162] Pat Whitcomb[165]
Stat-Ease, Inc
Tutorial materials 2018

Operational Testing of Cyber Systems

[162] Paul Johnson[165]
MCOTEA
Tutorial materials 2018

Demystifying Data Science

[162] Alyson Wilson[165]
Laboratory for Analytic Sciences North Carolina State Univeristy
Tutorial materials 2018

Statistics Boot Camp

[162] Stephanie Lane[165]
Research Staff Member
IDA
Tutorial materials 2018

Robust Parameter Design

[162] Geoff Vining[165] Tutorial materials 2018

Exploratory Data Analysis

[162] Jim Filliben[165] Tutorial 2018

Quality Control and Statistical Process Control

[162] Jane Pinelis[165]
Research Staff Member
IDA
Tutorial materials 2018

Evolving Statistical Tools

[162] Matthew Avery[165]
Research Staff Member
IDA
Tutorial materials 2018

Evolving Statistical Tools

[162] Tyler Morgan-Wall[165]
Research Staff Member
IDA
Tutorial materials 2018

Evolving Statistical Tools

[162] Benjamin Ashwell[165]
Research Staff Member
IDA
Tutorial materials 2018

Evolving Statistical Tools

[162] Kevin Kirshenbaum[165]
Research Staff Member
IDA
Tutorial materials 2018

Evolving Statistical Tools

[162] Stephanie Lane[165]
Research Staff Member
IDA
Tutorial materials 2018

Evolving Statistical Tools

[162] Jason Sheldon[165]
Research Staff Member
IDA
Tutorial materials 2018

Strategies for Sequential Experimentation

[162] Martin Bezener[165]
Director of Research & Development
Stat-Ease
Tutorial 2020

Deep Learning Models for Image Analysis & Object Recognition

[162] Ridhima Amruthesh[165]
DATA SOCIETY
Tutorial 2020

Machine Learning for cybersecurity – Self Learning Systems for Threat Detection

[162] Nisha Iyer[165]
DATA SOCIETY
Tutorial 2020

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

[162] OED Cyber Lab[165]
IDA
Tutorial
2020

I have the Power! Power Calculation in Complex (and Not So Complex) Modeling Situations Part 1

[162] Caleb King[165]
JMP Division, SAS Institute Inc.
Tutorial
materials 2020

21st Century Screening Designs

[162] Thomas Donnelly[165]
Principal Systems Engineer
SAS Institute Inc.
Tutorial 2020

Introduction to Uncertainty Quantification for Practitioners and Engineers

[162] Gavin Jones[165]
Sr. Application Engineer
SmartUQ
Tutorial
2020

Cyber Tutorial

[162] Peter Mancini[165]
IDA

2020

Cyber Tutorial

[162] Mark Herrera[165]
IDA

2020

Connecting Software Reliability Growth Models to Software Defect Tracking Poster

[162] Melanie Luperon[165]
Student
University of Massachusetts
2020

I have the Power! Power Calculation in Complex (and Not So Complex) Modeling Situations Part 2

[162] Ryan Lekivetz[165]
JMP Division, SAS Institute Inc.

2020

Cyber Tutorial

[162] Kelly Tran[165]
IDA

2020

Cyber Tutorial

[162] Jason Schlup[165]
IDA

2020

Cyber Tutorial

[162] Lee Allison[165]
IDA

2020
Name Organization Type Yr

Peter Parker

NASA Workshop Organizer 2016

Laura Freeman

IDA Workshop Organizer 2016

Rebecca Medlin

IDA Logistics 2019

David Greene

IDA Logistics 2019

Heather Wojton

IDA Co-Chair 2019

Ronald Fricker

Department of Statistics,Virginia Tech Co-Chair 2019

Amy Braverman

Jet Propulsion Laboratory,California Institute of Technology Co-Chair 2019

Laura Freeman

Virginia Tech University Co-Chair 2019

Jonathan Rathsam

NASA Co-Chair 2019

Jane Pinelis

John Hopkins University Applied Physics Laboratory Co-Chair 2019

Julia Shirley

IDA Logistics 2018