<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>industry | Annibale Panichella</title><link>https://apanichella.github.io/tag/industry/</link><atom:link href="https://apanichella.github.io/tag/industry/index.xml" rel="self" type="application/rss+xml"/><description>industry</description><generator>Hugo Blox Builder (https://hugoblox.com)</generator><language>en-us</language><lastBuildDate>Wed, 01 Oct 2025 00:00:00 +0000</lastBuildDate><image><url>https://apanichella.github.io/media/icon_hu0b7a4cb9992c9ac0e91bd28ffd38dd00_9727_512x512_fill_lanczos_center_3.png</url><title>industry</title><link>https://apanichella.github.io/tag/industry/</link></image><item><title>FUSE Lab: The Future of Software Engineering</title><link>https://apanichella.github.io/project/fuse-lab/</link><pubDate>Wed, 01 Oct 2025 00:00:00 +0000</pubDate><guid>https://apanichella.github.io/project/fuse-lab/</guid><description/></item><item><title>AI4SE Collaboration</title><link>https://apanichella.github.io/project/ai4se/</link><pubDate>Wed, 27 Apr 2016 00:00:00 +0000</pubDate><guid>https://apanichella.github.io/project/ai4se/</guid><description>&lt;p>The emergence of advanced AI-driven tools has led to a wide range of opportunities and transformations in software engineering practices and education. Recognizing this potential, JetBrains and Delft University of Technology have collaborated to establish the AI for Software Engineering Lab (AI4SE). Together, we are committed to conducting cutting-edge research on the impact and utilization of AI methodologies in software engineering. Our areas of focus include diverse facets of the domain, such as software development, testing, and programming education.&lt;/p></description></item><item><title>UBRI: University Blockchain Research Initiative</title><link>https://apanichella.github.io/project/ubri/</link><pubDate>Tue, 01 Jan 2019 00:00:00 +0000</pubDate><guid>https://apanichella.github.io/project/ubri/</guid><description>&lt;p>UBRI is a partnership between Ripple and top universities around the world to support academic research, technical development and innovation in blockchain, cryptocurrency and , digital payments. Ripple is providing both financial and technical resources to university partners and collaborates with faculty and students on research and technical projects.&lt;/p></description></item><item><title>AI for Fintech Research</title><link>https://apanichella.github.io/project/afr/</link><pubDate>Wed, 01 Jan 2020 00:00:00 +0000</pubDate><guid>https://apanichella.github.io/project/afr/</guid><description>&lt;p>AI for Fintech Research (AFR) is a five year 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.&lt;/p>
&lt;p>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.&lt;/p>
&lt;p>The core of the AFR consists of eight research tracks, in which 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 concept drift. In each track, researchers from TU Delft and engineers from ING are involved, as well as bachelor and master students from TU Delft.&lt;/p>
&lt;p>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. During the COVID-19 pandemic in 2020 and 2021, all collabaration was virtual, with hybrid meetings returning in 2022.&lt;/p>
&lt;p>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) working in close collaboration with societal or industrial partners. 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.&lt;/p></description></item></channel></rss>