AI for Fintech Research

AI for Fintech Research (AFR) is a collaboration between ING and Delft University of Technology. The mission of AFR is to perform world-class research at the intersection of Artificial Intelligence, Data Analytics, and Software Analytics in the context of FinTech. AFR was launched in 2020, and will run for a period of five years.

With 36 million customers, activities in 42 countries, and a total of 50,000 employees of which 15,000 work in IT, software and data technology is at the heart of ING’s business and operations. In this context, AFR seeks to develop new AI-driven theories, methods, and tools in large scale data and software analytics.

The core of the AFR consists of 10 research tracks, in which 10 PhD students work on a range of topics, such as software analytics, data integration, fairness in machine learning, model life cycle management, regulatory compliance, search-based software engineering, and A/B testing. In each track, researchers from TU Delft and engineers from ING will be involved, as well as bachelor and master students from TU Delft.

AFR is bi-located at the TU Delft campus in Delft and at Cumulus Park – the collaborative innovation district in Amsterdam Southeast – bringing together students, engineers, researchers, professors, and entrepreneurs from both organizations at both locations.

AFR participates in the Innovation Center for Artificial Intelligence (ICAI) as one of its labs. ICAI is a virtual organization consisting of a series of labs of similar size (over five PhD researchers each) funded directly by industry. AFR directly benefits from the experience and expertise of other academic and industrial ICAI partners, such as Qualcomm, Bosch, Ahold Delhaize, the Dutch National Police, the University of Amsterdam, and Vrije Universiteit.

The scientific director of AFR is Arie van Deursen, professor in the Software Engineering Research Group (SERG) at Delft University of Technology.

Annibale Panichella
Annibale Panichella
Associate Professor in Software Engineering

My research interests include software testing, SE for AI, SE for blockchain, and cyber-physical systems