Aiding forensic investigations using machine learning
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Authors
Sharifzadeh, Hamid
Varastehpour, Soheil
Francis, X.
Keivanmarz, A.
Fleming, R.
Ardekani, Iman
Newton, A.
Varastehpour, Soheil
Francis, X.
Keivanmarz, A.
Fleming, R.
Ardekani, Iman
Newton, A.
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Date
2022-11-28
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Conference Contribution - Oral Presentation
Ngā Upoko Tukutuku (Māori subject headings)
Keyword
forensics
vein patterns
forensic podiatry
computational forensics
criminal identification
victim identification
child pornography
modelling
footwear outsoles
vein patterns
forensic podiatry
computational forensics
criminal identification
victim identification
child pornography
modelling
footwear outsoles
ANZSRC Field of Research Code (2020)
Citation
Sharifzadeh, H., Varastehpour, S., Francis, X., Keivanmarz, A., Fleming, R., Ardekani, I., & Newton, A. (2022, November, 28-29). Aiding forensic investigations using machine learning [Paper presentation]. 2022 Artificial Intelligence Researchers Association Conference, Christchurch, New Zealand.
Abstract
Advances in machine learning find rapid adoption in many fields ranging from communications, signal processing, and the automotive industry to healthcare, law, and forensics. In this talk, I briefly focus on a couple of research projects revolving around machine learning and forensic investigations: a) A biometric tool based on vein pattern recognition for CSAI investigations, b) Prediction and reconstruction of wear patterns on footwear outsoles. These research projects mainly rely on cutting-edge machine learning algorithms applied to forensics area for helping law enforcement agencies identify criminals/victims:
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