Staff

May 25, 2023

Students Lead Spring Semester Projects that Support Intelligence Analysts

Students play a vital role in research at the Laboratory for Analytic Sciences. From design to computer science and data prioritization, we’re spotlighting four of this year’s research projects at…

Feb 28, 2023

Student Outreach to Build a Diverse Workforce

On May 15, the Laboratory for Analytic Sciences (LAS) will commemorate the 10-year anniversary of its academic partnership with North Carolina State University. Residing on a large college campus that…

Dec 5, 2022

Taming Deep Learning: Faster and Cheaper

This work was funded by the NCSU LAS: Laboratory for Analytics Sciences, 2022. Summary: A “router-based” reasoning oracle can tell when not-so-hard predictions can be handled by a simple/fast/cheap linear model; or…

Dec 5, 2022

LAS Senior Design Engagement

Since the mid-1990s, undergraduate students majoring in engineering and computer science at North Carolina State University (NCSU) have been required to complete a capstone research project during the final semester…

Dec 5, 2022

What Happens When Design Students Innovate for Intelligence Analysis

Intelligence analysts must make sense of never-ending waves of information that crash over them from every direction. Understanding how best to navigate such a vast, ever-changing ocean of data with…

Dec 5, 2022

Communicating Intel to Decision-Makers: Toward the Integration of Graphs in Reports

Melanie Bancilhon, R. Jordan Crouser, Alvitta Ottley Intelligence analysts’ roles include analyzing reports, identifying important information relevant to the current state of affairs, and communicating their takeaways. These reports are…

Dec 5, 2022

Team Strength: A Data and Communication-Driven Action Plan for Team Leads

NC State Contributors: Mark Wilson, Stephen Paul, Christine Brugh LAS Contributors: Michele Kolb, Paul Narula What is Team Strength? Team Strength is a suite of tools designed to help operational…

Dec 5, 2022

Voice Characterization Analytics for Triage

Tina Kohler, Michelle Winemiller, Patti Kenney, Jacque Jorns, Pauline Mevs, Sean Lynch, University of Texas at Dallas What we’re trying to do In a world containing big piles of voice…

Dec 5, 2022

EYERECKON: Train Computer Vision Models to Detect Rare/Uncommon Objects

Felecia Morgan-Lopez, James T. Smith III, Alfred Jarmon, David Wall, Dr. Sambit Bhattacharya (Fayetteville State University Computer Science Professor) and FSU Senior Design Teams The Problem The Chinese-manufactured Closed-Circuit Televisions…

Dec 5, 2022

Infinitypool: Model-Assisted Labeling

Joe Anderson, Daniel Cornell, Alon Greyber, Simon Griggs, Kaylie Naylo, Stephen Williamson, Sean Lynch, Skip Smith, Aaron Wiechmann Confidence in one’s data is essential for machine learning projects. It is…