Cédric Neumann

ORCID: 0000-0002-3715-5327
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About
Contact & Profiles
Research Areas
  • Forensic and Genetic Research
  • Forensic Fingerprint Detection Methods
  • Biometric Identification and Security
  • Digital Media Forensic Detection
  • Cultural Heritage Materials Analysis
  • Bayesian Methods and Mixture Models
  • Advanced Statistical Methods and Models
  • Spectroscopy and Chemometric Analyses
  • Anomaly Detection Techniques and Applications
  • Markov Chains and Monte Carlo Methods
  • Historical Studies and Socio-cultural Analysis
  • Remote Sensing and LiDAR Applications
  • Water Quality and Resources Studies
  • Conservation Techniques and Studies
  • Identification and Quantification in Food
  • Image Processing and 3D Reconstruction
  • Gaussian Processes and Bayesian Inference
  • Archaeological Research and Protection
  • Geochemistry and Geologic Mapping
  • Forest ecology and management
  • Statistical Methods and Bayesian Inference
  • Pesticide Residue Analysis and Safety
  • Data-Driven Disease Surveillance
  • French Historical and Cultural Studies
  • Information Technology and Learning

Battelle
2023

South Dakota State University
2014-2021

Pennsylvania State University
2010-2015

West Midlands Police
2012

University of Lausanne
2005-2009

Solihull Hospital
2007-2008

Summary The fingerprint has, with considerable justification, come to be regarded as the acme of forensic identification. Over last century, millions cases have been resolved world wide because marks left at crime scenes. comparison methodology has not evolved greatly during its history and it is universal practice present evidence a court categoric opinion identification or exclusion, classify inconclusive report it. There growing movement supplement examination process by one that...

10.1111/j.1467-985x.2011.01027.x article EN public-domain Journal of the Royal Statistical Society Series A (Statistics in Society) 2012-03-15

ABSTRACT: Recent court challenges have highlighted the need for statistical research on fingerprint identification. This paper proposes a model computing likelihood ratios (LRs) to assess evidential value of comparisons with any number minutiæ. The considers minutiae type, direction and relative spatial relationships. It expands previous work three by adopting modeling using radial triangulation probabilistic distortion assessing numerator LR. has been tested sample 686 ulnar loops 204...

10.1111/j.1556-4029.2006.00327.x article EN Journal of Forensic Sciences 2006-12-12

ABSTRACT: Recent challenges to fingerprint evidence have brought forward the need for peer‐reviewed scientific publications support evidential value assessment of fingerprint. This paper proposes some research directions gather statistical knowledge within‐source and between‐sources variability configurations three minutiæ on fingermarks fingerprints. use likelihood ratio (LR) approach assess evidence. The model explores contribution minutiae using Tippett plots related measures quality...

10.1111/j.1556-4029.2006.00266.x article EN Journal of Forensic Sciences 2006-10-30

Abstract For several decades, legal and scientific scholars have argued that conclusions from forensic examinations should be supported by statistical data reported within a probabilistic framework. Multiple models been proposed to quantify express the probative value of evidence. Unfortunately, use statistics perform inferences in science adds layer complexity most scientists, court officers lay individuals are not armed handle. Many applications rely on ad-hoc strategies scientifically...

10.1093/lpr/mgaa006 article EN Law Probability and Risk 2020-03-01

Abstract The aims of evaluating forensic evidence are to provide a transparent, coherent, and unbiased opinion the value fact‐finders. Measurements from glass in hit‐and‐run, for example, can help decide if particular vehicle was involved accident. evaluation involves comparison physical, optical, chemical properties recovered broken window with fragments suspected originating window. A standard method (ASTM E2927‐16e1) describes consensus‐based approach sampling, sample preparation,...

10.1002/cem.3267 article EN Journal of Chemometrics 2020-06-25

10.1016/j.forsciint.2008.12.008 article EN Forensic Science International 2009-01-16

Recent developments in forensic science have lead to a proliferation of methods for quantifying the probative value evidence by constructing Bayes Factor that allows decision-maker select between prosecution and defense models. Unfortunately, analytical form is often computationally intractable. A typical approach statistics uses Monte Carlo integration numerically approximate marginal likelihoods composing Factor. This article focuses on developing generally applicable method characterizing...

10.1080/00949655.2017.1280036 article EN Journal of Statistical Computation and Simulation 2017-01-24

This study expands upon a previously developed method that quantifies the similarity of compared tape edges by systematically studying effect several separation methods and grades on quality fit. Analysts examined more than 3300 pairs hand-torn or scissor-cut duct tapes from three different while they were kept blind ground truth to minimize bias. The samples following three-step methodology: 1) qualitative assessment overall edge alignment description pattern, 2) macroscopic evaluation...

10.1016/j.forsciint.2023.111567 article EN cc-by-nc-nd Forensic Science International 2023-01-14

10.1016/j.forsciint.2009.07.013 article EN Forensic Science International 2009-08-30

10.1016/j.fsigss.2007.10.176 article EN Forensic science international. Genetics supplement series 2008-05-22
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