Evidence analysis and processing
IDENTIFICATION OF LOW EXPLOSIVES AND THEIR POST-BLAST RESIDUES VIA GAS CHROMATOGRAPHY (GC) COUPLED WITH VACUUM ULTRAVIOLET (VUV) SPECTROSCOPY
Development of a probabilistic multiclass model selection algorithm for high-dimension and complex data encountered in forensic pattern and trace evidence.
DNA Analysis and the Postmortem Submersion Interval from the Microbiome of Waterlogged Skeletal Remains
Estimating the Postmortem Interval at Longer Timescales Using Bone
The Effect of Altitude on Decomposition: Toward an Understanding of the Postmortem Interval in the Rocky Mountain Region.
Development and Application of Small-molecule Spatial Distribution Imaging: Laser Ablation Direct Analysis in Real Time Imaging-Mass Spectrometry (LADI-MS)
Increasing Safety, Speed, Sensitivity, and Selectivity of Controlled Substance Analysis
Using Artificial Intelligence Technologies to Expose Darknet Opioid Traffickers
Differentiating Monozygotic Twins with DNA Methylation Technology
Analytical Validation and Impact Assessment of On-Site Evidence Screening via Ambient Sampling, Portable Mass Spectrometry
2018 Impression, Pattern and Trace Evidence Symposium
Advancing Audio Forensics of Gunshot Acoustics
Just Science Podcast: Just Bayesian Brawl
Forensic Evidence and Criminal Justice Outcomes in Sexual Assault Cases
Sexual Assault Response Team (SART) Functioning and Effectiveness: Findings From the National SART Project
Strengthening Our Nation's Crime Laboratories
Fiber Impurities Allow for More Detailed Forensic Fluorescence Comparisons
Fiber evidence has long been an important part of criminal cases, for it can associate a suspect with a crime scene. This project details new analytical procedures that allow fiber comparisons that are more detailed than standard forensic practices.
Defining the Difficulty of Fingerprint Comparisons
Researchers create a metric to determine the difficulty of matching latent and known fingerprints, then link that difficulty to error rates.
Subpopulation of Fibres and Their Importance to Forensic Science
Location Detection and Characterization in Mixtures of Dust Particles