Researcher Profile

Field: Data Science

Main Research: Data Science for Public Security and Consumer Protection

Experience: Andrew Lindley has specialized in area of data science for public security since 2018 with a dedicated research focus on applying AI for consumer protection. His recently carried out research activities include data based evidence and analysis of price discrimination/personal pricing effects in online retail as well as developing tools for real-time identification of fraudulent e-commerce offerings. With the AI powered Fake-Shop Detector service a major milestone was achieved in preventing citizens from being exploited by Fake-Shops. Andrew Lindley published an annotated ground-truth dataset of archived Fake-Shops first of its kind and free to use for scientific and non-commercial research purposes, the machine-learning models achieve a 97% accuracy in classifying Fake-Shops correctly, solely based on intrinsic features of the site and the distributed and scalable infrastructure is serving 750k API calls per day.

• 2020: ACR Innovationspreis

• Künstliche Intelligenz im Einsatz gegen Internetbetrug - Erfahrungen aus dem Forschungsprojekt SINBAD;
  Konsumentenpolitisches Jahrbuch 2021, Trends, Rechtsentwicklung und Judikatur der letzten zwei Jahre
  Author(s): Louise Beltzung, Andrew Lindley
  Publisher: https://doi.org/10.33196/9783704688804; 2021; 289-307; 987-3-7046-8868-2
  Series:
• KOnsumentenschutz im Online-Handel durch Automatisierung in der Detektion von Fake-Shops;
  Wissenschaf(f)t Sicherheit
  Author(s): Andrew Lindley, Clemens Heistracher, Louise Beltzung, Thorsten Behrens
  Publisher: Bundesministerium für Landwirtschaft, Regionen und Tourismus Stubenring 1, 1010 Wien; Wien; 2021; 145-155; https://www.kiras.at/fileadmin/downloads/projektband/Studienband_148x210_v01_barrierefrei.pdf
  Series: ; Studienband 5

• Real-Time Detection of Fake-Shops through Machine Learning
  Author(s): Andrew Lindley, Olivia Dinica, Louise Beltzung, Nadin Hermann, Raphaela Lindner
  Conference IEEE International Conference on Big Data(IEEE BigData 2020) - The 4th International Workshop on Big Data Analytic for Cybercrime Investigation and Prevention

• Demos Fake-Shop Detector
• Publications AIT publications database