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CSAFE Researchers to Present at AAFS Annual Conference

AAFS 2022 Annual Scientific Conference

The Center for Statistics and Applications in Forensic Evidence (CSAFE) researchers will be presenting at the American Academy of Forensic Sciences (AAFS) annual scientific conference. The conference will be held Feb. 21–25 in Seattle, Washington, and will showcase the current research in the forensic sciences fields.

This year’s conference will be a hybrid event, allowing people to attend in person or virtually. However, AAFS has noted that not all live in-person sessions will be available virtually.

CSAFE researchers will share the latest advancements in their research activities including, footwear and latent print analysis, forensic methods for digital evidence and using statistical methods in forensic science. Below is the list of CSAFE presentations and poster submissions. An asterisk (*) denotes a CSAFE researcher or collaborator.

For more information about the AAFS conference, visit



Autopsy of a Crime Lab: The Evolving Approaches Toward Forensic Evidence in Court
Feb. 22, 7–8:15 a.m.
Brandon Garrett*


Score-Based Likelihood Ratios for Camera Device Identification Using Cameras of the Same Brand for the Alternative Device Population
Feb. 24, 8:55–9:15 a.m.
Stephanie Reinders*, Danica Ommen* and Alicia Carriquiry*

Algorithmic Fairness: Sampling and Algorithmic Bias Correction in Machine Learning with Applications to Forensic Evidence
Feb. 24, 9:40–10 a.m.
Ganesh Krishnan* and Heike Hofmann*

How Do Latent Print Examiners Perceive Blind Proficiency Testing? A Survey of Practicing Examiners
Feb. 24, 11:30–11:45 a.m.
Brett Gardner*, Sharon Kelley* and Maddisen Neuman*

What Types of Information Can and Do Latent Print Examiners Review? A Survey of Practicing Examiners
Feb. 24, 11:45 a.m.–noon
Brett Gardner*, Sharon Kelley* and Maddisen Neuman*

Does Image Editing Improve the Quality of Latent Prints? An Analysis of Image-Enhancement Techniques in One Crime Laboratory
Feb. 24, 12–12:15 p.m.
Brett Gardner*, Sharon Kelley* and Maddisen Neuman*

Automatic Class Characteristic Recognition in Shoe Tread Images
Feb. 25, 8:45–9:00 a.m.
Jayden Stack* and Susan Vanderplas*

An Open-Source Implementation of the Congruent Matching Profile Segments (CMPS) Algorithm for Assessing the Similarity of Bullets
Feb. 25, 9:15–9:30 a.m.
Wangqian Ju* and Heike Hofmann*

An Accessible Open-Source Implementation of the Congruent Matching Cells Algorithms for Cartridge Case Analysis
Feb. 25, 11:05–11:20 a.m.
Joseph Zemmels*, Susan VanderPlas* and Heike Hofmann*

Investigative Leads in Latent Prints: A Comparison of Laboratory Procedures
Feb. 25, 11:30–11:45 a.m.
Amanda Wilson, Sharon Kelley*, Jennifer Molina, Brett Gardner* and Maddisen Neuman*

Forensic Analysis on Cryptocurrency Wallet Apps
Feb. 25, 11:40 a.m.–noon
Chen Shi* and Yong Guan*

Measuring Proficiency Among Latent Print Examiners: A Statistical Approach from Standardized Testing
Feb. 25, 11:45 a.m.–noon
Amanda Luby*

Toward the Quantitative Evaluation of Pattern Evidence
Feb. 25, 2:15–2:30 p.m.
Alicia Carriquiry*


Assessing the Dependency Structure Between Shape Codes for Forensic Handwriting Data
Feb. 23, 11:30 a.m.–1 p.m.
Cami Fuglsby, Kayla M. Moquin, Christopher P. Saunders, Danica Ommen*, Michael Caliguiri and JoAnn Buscaglia

Likelihood Ratios for Categorical Evidence with Applications in Digital Evidence
Feb. 24, 11:30 a.m.–1:00 p.m.
Rachel Longjohn*, Padhraic Smyth* and Hal Stern*


A New Algorithm for Source Identification of Look-Alike Footwear Impressions Based on Automatic Alignment
Feb. 25, 11:30 a.m.–1 p.m.
Hana Lee* and Alicia Carriquiry*

Ensemble of SLR Systems for Forensic Evidence
Feb. 25, 11:30 a.m.–1 p.m.
Federico Veneri* and Danica Ommen*

Towards a Score-Based Likelihood Ratio for Footwear Analysis
Feb. 25, 11:30 a.m.–1 p.m.
Valerie Han* and Alicia Carriquiry*