Our goal is to share how CSAFE research directly impacts the forensic science community. To connect you with the latest advancements, our team publicizes research results in peer-reviewed scientific journals and at worldwide forensic science conferences.
Below you will find links to full publications resulting from center research, as well as copies of recent presentation slides. Looking for more CSAFE products? Find research tools and datasets in our resources section.
Materials By Research Area
Found 270 Results
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Forensic Analysis of Android Cloud SDKs
Type: Presentation Slides Research Area(s): Digital
Published: 2024 | By: Chen Shi
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
Is it a True Match? Top k correlations in a database search
Type: Presentation Slides Research Area(s): Firearms and Toolmarks,Forensic Statistics
Published: 2024 | By: Blanca Parker
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
Quantifying Bayes Factors for Forensic Handwriting Evidence
Type: Presentation Slides Research Area(s): Handwriting
Published: 2024 | By: Anyesha Ray
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
Quantifying Writer Variance Through Rainbow Triangle Graph Decomposition
Type: Presentation Slides Research Area(s): Handwriting
Published: 2024 | By: Alexandra Arabio
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024
Graph-Theoretic Techniques for Forensic Image Comparisons
Type: Presentation Slides Research Area(s): Footwear,Forensic Statistics
Published: 2024 | By: Gautham Venkatasubramanian
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
Presumption of Innocence, Probable Cause, and Prior Probability—Bayes Meets Due Process
Type: Presentation Slides Research Area(s): Forensic Statistics
Published: 2024 | By: Jeff Salyards
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
Toward Consistency in Latent Print Examiners’ Naming Conventions and Minutiae Frequency Estimations
Type: Presentation Slides Research Area(s): Latent Print
Published: 2024 | By: Adele Quigley-McBride
This presentation is from the 76th Annual Conference of the American Academy of Forensic Sciences (AAFS), Denver, Colorado, February 19-24, 2024.
The Impact of Multi-Camera Smart Phones on Source Camera Identification
Type: Presentation Slides Research Area(s): Digital
Published: 2024 | By: Stephanie Reinders
An investigator has a questioned image from an unknown source and wants to determine whether it came from a camera on a person of interest’s smartphone. This scenario is referred to as source camera identification. Researchers discovered that slight imperfections…
Demonstrative Evidence and the Use of Algorithms in Jury Trials
Type: Publication Research Area(s): Implementation and Practice
Published: 2024 | By: Rachel Rogers
We investigate how the use of bullet comparison algorithms and demonstrative evidence may affect juror perceptions of reliability, credibility, and understanding of expert witnesses and presented evidence. The use of statistical methods in forensic science is motivated by a lack…
ShoeCase: A data set of mock crime scene footwear impressions
Type: Publication Research Area(s): Footwear
Published: 2023 | By: Abigail Tibben
This project’s main objective is to create an open-source database containing a sizeable number of high-quality images of shoe impressions. The Center for Statistics and Applications in Forensic Evidence (CSAFE) team collected images that represented those found at crime scenes…
Combining reproducibility and repeatability studies with applications in forensic science
Type: Publication Research Area(s): Forensic Statistics
Published: 2023 | By: Hina Arora
Studying the repeatability and reproducibility of decisions made during forensic examinations is important in order to better understand variation in decisions and establish confidence in procedures. For disciplines that rely on comparisons made by trained examiners such as for latent…
Reliability of ordinal outcomes in forensic black-box studies
Type: Publication Research Area(s): Forensic Statistics
Published: 2024 | By: Hina M. Arora
Forensic science disciplines such as latent print examination, bullet and cartridge case comparisons, and shoeprint analysis, involve subjective decisions by forensic experts throughout the examination process. Most of the decisions involve ordinal categories. Examples include a three-category outcome for latent…
A finely tuned deep transfer learning algorithm to compare outsole images
Type: Publication Research Area(s): Footwear
Published: 2023 | By: Moonsoo Jang
In forensic practice, evaluating shoeprint evidence is challenging because the differences between images of two different outsoles can be subtle. In this paper, we propose a deep transfer learning-based matching algorithm called the Shoe-MS algorithm that quantifies the similarity between…
An automated alignment algorithm for identification of the source of footwear impressions with common class characteristics
Type: Publication Research Area(s): Footwear
Published: 2024 | By: Hana Lee
We introduce an algorithmic approach designed to compare similar shoeprint images, with automated alignment. Our method employs the Iterative Closest Points (ICP) algorithm to attain optimal alignment, further enhancing precision through phase-only correlation. Utilizing diverse metrics to quantify similarity, we…
A deep learning approach for the comparison of handwritten documents using latent feature vectors
Type: Publication Research Area(s): Forensic Statistics,Handwriting
Published: 2024 | By: Juhyeon Kim
Forensic questioned document examiners still largely rely on visual assessments and expert judgment to determine the provenance of a handwritten document. Here, we propose a novel approach to objectively compare two handwritten documents using a deep learning algorithm. First, we…
Likelihood ratios for changepoints in categorical event data with applications in digital forensics
Type: Publication Research Area(s): Digital,Forensic Statistics
Published: 2024 | By: Rachel Longjohn
We investigate likelihood ratio models motivated by digital forensics problems involving time-stamped user-generated event data from a device or account. Of specific interest are scenarios where the data may have been generated by a single individual (the device/account owner) or…
Interpretable algorithmic forensics
Type: Publication Research Area(s): Forensic Statistics,Implementation and Practice
Published: 2023 | By: Brandon Garrett
One of the most troubling trends in criminal investigations is the growing use of “black box” technology, in which law enforcement rely on artificial intelligence (AI) models or algorithms that are either too complex for people to understand or they…
Forensic Toolmark Comparisons
Type: Presentation Slides Research Area(s): Firearms and Toolmarks
Published: 2023 | By: Maria Cuellar
Forensic practitioners determine whether two marks were generated by the same tool by observing the 2D images of the marks using a comparison microscope and deciding whether the “surface contours of two toolmarks are in sufficient agreement” based on the…
Effect of Subclass Characteristics on Congruent Matching Cells (CMC) Algorithm
Type: Presentation Slides Research Area(s): Firearms and Toolmarks
Published: 2023 | By: Veronica Franklin
This presentation is a continuation of subclass characteristics present on consecutively manufactured breech face inserts. The objective is to assess manufacturing methods similar to those used by firearm manufacturers. It has been shown that subclass characteristics will be present on…
Source Camera Identification with Multi-Camera Smartphones
Type: Presentation Slides Research Area(s): Digital,Forensic Statistics
Published: 2023 | By: Stephanie Reinders
An overview of source camera identification on multi-camera smartphones, and introduction to the new CSAFE multi-camera smartphone image database, and a summary of recent results on the iPhone 14 Pro’s.
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