Aiding forensic investigations using machine learning

Sharifzadeh, Hamid; Varastehpour, Soheil; Francis, X.; Keivanmarz, A.; Fleming, R.; Ardekani, Iman; Newton, A.

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Date
2022-11-28
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.
Permanent link to Research Bank record:
https://hdl.handle.net/10652/5861
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:
Keywords:
forensics, vein patterns, forensic podiatry, computational forensics, criminal identification, victim identification, child pornography, modelling, footwear outsoles
ANZSRC Field of Research:
460308 Pattern recognition, 460204 Fuzzy computation
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