Forensic Science and Technology Commons^™

Aviation Guilt: The Role Of Human Factors In Airline Incidents, Alexander Silva

Williams Honors College, Honors Research Projects

Human factors play a central role in aviation safety, influencing entire processes in an aviation environment. This paper reviews human factors in aviation as a whole to create a picture of what causes many aviation accidents. Models such as the SHEL model, Swiss Cheese Model, and Wickens MRT will be introduced to illuminate both the ways in which a flight deck should operate and why certain decisions are made in critical situations. Some of the deadliest aviation accidents have resulted from human error, such as the Tenerife airport disaster and AF447. These disasters were seminal in the development and execution …

Repeatability And Reproducibility Of Minutiae Mark-Up, Lyrek Lockley

Graduate Theses, Dissertations, and Problem Reports (ETD)

This study investigated the repeatability and reproducibility of minutiae mark-up. The use of fingerprints as a mode of identification has been around for thousands of years with contributions from figures like Sir William Hershel, Thomas Taylor, Henry Faulds, Sir Francis Galton and many more. Latent fingerprint impressions can be deposited by the perpetrator of a crime on a variety of surfaces at a crime scene. Many times, fingerprints are the most widely recovered and used evidence from a crime scene. Once fingerprints are collected, they go through the analysis, comparison, evaluation, and verification (ACE-V) process. This study will focus on …

Assessment Of Analytical Workflows Of Gunshot Residue Evidence And Strategies For Implementation Of Advanced Technology In Crime Laboratories., Leah D. Thomas

Graduate Theses, Dissertations, and Problem Reports (ETD)

The rise in gun violence in the United States has increased the demand on forensic agencies to process evidence promptly and accurately. The exchange of imperceptible traces among objects, suspects, and victims can provide critical insights into the interactions and sequence of events during a crime. Gunshot residue (GSR) is a type of trace evidence that holds significant investigative value in shooting reconstructions. GSR can help identify potential shooters, intermediate targets, and bullet trajectories; however, its analysis is often expensive and time-consuming. Consequently, there is an urgent need for more effective solutions.

Methods for on-site screening can significantly streamline forensic …

Development Of Novel Signatures For Determination Of Cell Types In Blood And Saliva Mixtures, Caitlin Lydon

Master of Science in Forensic Science Directed Research Projects

Determination of tissue source and the time at which a biological material is transferred from its source to another surface, known as the time-since-deposition (TSD), would assist forensic analysts by providing crucial context for DNA profiles generated from biological evidence. Many methods for cell identification have been explored using biomolecule markers such as mRNA, miRNA, and differential DNA methylation. Forensic laboratories have also developed methods for TSD estimation that focus on degradation of biomolecules. Biomolecules such as mRNA or miRNA degrade at different rates due to some being more stable than others. The ratio of stable degrading biomolecules, therefore, can …

Advancing Forensic Firearm Analysis: Quantitative Measurement Of Pellet Patterns Using Open Source Software, Inez Staples

Master of Science in Forensic Science Directed Research Projects

Shotgun pellet pattern analysis plays a critical role in forensic firearm investigations, particularly for estimating muzzle-to-target distances. However, conventional methods based on pattern diameter become unreliable when only partial patterns are recovered, as is often the case in forensic scenarios involving soft tissue or incomplete impact surfaces. This study aimed to validate ImageJ, an open-source image analysis software, as a standardized, accurate, and reproducible tool for measuring pellet-to-pellet distances in partial shotgun patterns. The methodology included calibration of ImageJ using a perforated poly board, comparison of manual versus digital measurements on 17 pre-made pellet patterns, and development of a calibration …

Impact Of Substrates And Deposition Time On Bacteria Associated With Saliva Samples And Its Implication On A Bacterial Signature-Based Body Fluid Identification Method, Olisdey Galano Cruz

Master of Science in Forensic Science Directed Research Projects

Traditional serological methods for body fluid detection are limited by poor specificity and sensitivity, lacking confirmatory capability and thereby increasing the risk of false positives that may compromise the integrity of forensic investigations. While molecular methods such as mRNA, miRNA, and DNA methylation offer improved specificity, they are often hindered by marker instability and operational complexity in routine forensic workflows. Bacterial signature profiling has emerged as a promising alternative, offering enhanced stability, abundance, and compatibility with existing DNA workflows. However, its forensic implementation requires further validation. This study evaluated the effects of substrate type and storage time on the salivary …

Navigating The Digital Frontier: New Perspectives On Cybercrime And Governance, Christopher S. Kayser, Thomas Dearden, Katalin Parti, Sinyong Choi

International Journal of Cybersecurity Intelligence & Cybercrime

No abstract provided.

Modus Operandi And Blockchain Analysis Of Romance Scams: Cryptocurrency-Driven Victimization, Amy Lim, Kyung-Shick Choi

International Journal of Cybersecurity Intelligence & Cybercrime

No abstract provided.

The Legal Response To The Intrusion Into Digital Identity In Social Media, Maria González-García Vinuela

International Journal of Cybersecurity Intelligence & Cybercrime

No abstract provided.

A Study Of Pattern Of Cybercrime Abuse Of Individual Internet Users In Umuahia North Lga, Abia State Of South-Eastern Nigeria, Ogochukwu Favour Nzeakor, Rita Ngozi Okafor, Chibuike Ndubuisi Nwoke

International Journal of Cybersecurity Intelligence & Cybercrime

Although a number of studies exist on cybercrime and its abuses, little is known about the pattern of cybercrime abuses individual Internet users experience in Nigeria, especially the south eastern region. Using data collected via various methods, this study examines the pattern of cybercrime abuses of individual Internet users in Umuahia, Abia State, of South Eastern Nigeria. The result of the analysis of 1,067 samples drawn from 223,134 Internet users in Umuahia North LGA of Abia Sate showed that: while most users are victims of stolen ICT-gadgets (19%), fraud related offences (17%), and hacking (15%); they rarely fall victims of …

Analyzing Visual Attention In Virtual Crime Scene Investigations Using Eye-Tracking And Vr: Insights For Cognitive Modeling, Wen-Chao Yang, Chih-Hung Shih, Jiajun Jiang, Sergio Pallas Enguita, Chung-Hao Chen

Electrical & Computer Engineering Faculty Publications

Understanding human perceptual strategies in high-stakes environments, such as crime scene investigations, is essential for developing cognitive models that reflect expert decision-making. This study presents an immersive experimental framework that utilizes virtual reality (VR) and eye-tracking technologies to capture and analyze visual attention during simulated forensic tasks. A 360° panoramic crime scene, constructed using the Nikon KeyMission 360 camera, was integrated into a VR system with HTC Vive and Tobii Pro eye-tracking components. A total of 46 undergraduate students aged 19 to 24–23, from the National University of Singapore in Singapore and 23 from the Central Police University in Taiwan—participated …

A New Deepfake Detection Method With No-Reference Image Quality Assessment To Resist Image Degradation, Jiajun Jiang, Wen-Chao Yang, Chung-Hao Chen, Timothy Young

Electrical & Computer Engineering Faculty Publications

Deepfake technology, which utilizes advanced AI models such as Generative Adversarial Networks (GANs), has led to the proliferation of highly convincing manipulated media, posing significant challenges for detection. Existing detection methods often struggle with the low-quality or compressed press, which is prevalent on social media platforms. This paper proposes a novel Deepfake detection framework that leverages No-Reference Image Quality Assessment (NRIQA) techniques, specifically, BRISQUE, NIQE, and PIQUE, to extract quality-related features from facial images. These features are then classified using a Support Vector Machine (SVM) with various kernel functions. We evaluate our method under both intra-dataset and cross-dataset settings. For …

Accurate Body Weight Class Prediction From Mirna And Gene Expression In Blood And Saliva Samples, Kimberly Lettner

Master of Science in Forensic Science Directed Research Projects

miRNA interference on protein abundance related to glucose uptake and lipid production has been evaluated in biomedical research and linked to metabolic disorders like severe obesity. The direct regulation of protein abundance caused by miRNAs on a person’s metabolism can lead to an increased weight and overall size. Body size, measured by BMI, provides additional physical descriptions that can be combined with hair color, eye color, age, and skin pigment to aid investigations of unidentified remains or unknown suspects not found in a database. The purpose of this project was to evaluate the miRNA expression of target biomarkers in dried …

Novel Time-Since-Deposition Signatures For Canine Blood; Implications For Animal Cruelty Investigations, Alysia M. Townsley

Master of Science in Forensic Science Directed Research Projects

Dogfighting is a felony in all 50 states and is often tied to other organized crime activities including gambling, narcotics, and weapons trafficking. Because of the clandestine nature of dogfighting crimes, it may be necessary to determine the age of blood samples from suspected events, not just the source. In this study, flow cytometry was used to identify cellular autofluorescence signatures for estimating TSD (time-since-deposition) in canine blood deposits up to 6 months old. To accomplish this, blood was taken from canines of various chronological ages and breeds, then deposited to create TSD samples ranging between 1 day and 180 …

Biodistribution And Method Validation Of Xylazine In A Mouse Model Using Liquid-Chromatography-Quadrupole-Time Of Flight Mass Spectrometry, Julia E. Perschbacher

Master of Science in Forensic Science Directed Research Projects

Xylazine is a nonopioid veterinary sedative and an α2 adrenergic receptor agonist. It emerged in the opioid epidemic as an adulterant of illicit fentanyl. As xylazine becomes more involved in fatal overdoses, it is relevant to elucidate its biodistribution post-exposure due to its exacerbation of adverse events, namely respiratory depression, as xylazine’s contributions to existing adverse effects of synthetic opioids is understudied. A bioanalytical method to quantify xylazine and select metabolites in tissue using LC-QToF was validated and applied to a preclinical mouse model in order to characterize xylazine’s biodistribution in whole blood and six tissues at a dose known …

Qualitative Method Validation Of Acid/Neutral Drugs Carisoprodol, Meprobamate, And Naproxen Using Liquid Chromatography-Tandem Mass Spectrometry, Kate O. Martin

Master of Science in Forensic Science Directed Research Projects

Meprobamate, carisoprodol, and naproxen are acidic/neutral drugs widely prescribed for muscle relaxation and inflammatory conditions, with frequent detection in forensic toxicology casework due to extensive clinical use. A method to qualitatively evaluate these compounds was developed to unify acid/neutral drug screening. This study incorporated blank blood, antemortem blood, postmortem blood, urine, and liver homogenate as representative biological matrices. Method validation was conducted in accordance with ANSI/ASB Standard 036 for Forensic Toxicology, encompassing key parameters including limit of detection (LOD), endogenous interferences, potential interferences, carryover, processed sample stability, and ionization suppression/enhancement. The validation was performed using the internal standards carisoprodol-D7, meprobamate-D7, …

New Insights On Expert Opinion About Eyewitness Memory Research, Travis M. Seale-Carlisle, Adele Quigley-Mcbride, Jennifer E. F. Teitcher, William E. Crozier, Chad S. Dodson, Brandon L. Garrett

Faculty Scholarship

Experimental psychologists investigating eyewitness memory have periodically gathered their thoughts on a variety of eyewitness memory phenomena. Courts and other stakeholders of eyewitness research rely on the expert opinions reflected in these surveys to make informed decisions. However, the last survey of this sort was published more than 20 years ago, and the science of eyewitness memory has developed since that time. Stakeholders need a current database of expert opinions to make informed decisions. In this article, we provide that update. We surveyed 76 scientists for their opinions on eyewitness memory phenomena. We compared these current expert opinions to expert …

Development Of A Rapid Method For Pfas Detection And Quantitation In Human Hair, Justin M. Allen

Student Theses

In recent years, per- and polyfluoroalkyl substances (PFAS) have emerged as a critical focus in environmental and public health research due to their persistent nature and widespread use in products ranging from non-stick cookware to firefighting foams. These "forever chemicals" resist degradation, posing significant ecological and human health risks. While extensive studies have explored PFAS in environmental matrices, research into their presence in human hair remains limited, with only a handful of studies addressing this biomarker's potential. This thesis aims to develop a robust analytical method for detecting PFAS in human hair, leveraging its unique properties to provide a long-term …

Cyber Victimization In The Healthcare Industry: Analyzing Offender Motivations And Target Characteristics Through Routine Activities Theory (Rat) And Cyber-Routine Activities Theory (Cyber-Rat), Yashna Praveen, Mijin Kim, Kyung-Shick Choi

International Journal of Cybersecurity Intelligence & Cybercrime

The integration of computer technology in healthcare has revolutionized patient care but has also introduced significant cyber risks. Despite the healthcare sector being a primary target for cyber-attacks, research on the dynamics of these threats and practical solutions remains limited. Understanding the complexities of cyberattacks in this sector is critical, as the impact extends beyond financial losses to directly affect patient care and the protection of sensitive information. This paper applies Routine Activities Theory (RAT) and Cyber Routine Activities Theory (C-RAT) to analyze high-tech cyber victimization case studies in healthcare. The analysis explores the motivations behind these attacks and identifies …

Understanding The Use Of Artificial Intelligence In Cybercrime, Sinyong Choi, Thomas Dearden, Katalin Parti

International Journal of Cybersecurity Intelligence & Cybercrime

Artificial intelligence is one of the newest innovations that offenders also exploit to satisfy their criminal desires. Although understanding cybercrimes associated with this relatively new technology is essential in developing proper preventive measures, little has been done to examine this area. Therefore, this paper provides an overview of the articles featured in the special issue of the International Journal of Cybersecurity Intelligence and Cybercrime, ranging from deepfake in the metaverse to social engineering attacks. This issue includes articles that were presented by the winners of the student paper competition at the 2024 International White Hat Conference.