Prof. Dr. Raad Bin Tareaf

Prof. Dr. Raad Bin Tareaf

Teaching Subject: Applied Data Science

Senior Lecturer

About

Prof. Dr. Raad Bin Tareaf is a Professor of AI and Data Science at XU University. He holds a PhD in Data Science from the Hasso Plattner Institute, where his research focused on AI-driven personality prediction and social media analytics. His academic journey includes a B.Sc. in Computer Science from the German Jordanian University and an M.Sc. in Enterprise Systems Engineering from Princess Sumaya University for Technology. Before joining academia, he gained industry experience at Bosch and Continental GmbH.

At XU, his teaching and research focus on large language models (LLMs), explainable AI (XAI), and applied machine learning, with collaborations across academia, the public sector, and industry. His current projects include:

  • XAI for Medical Health — collaborative research with Abu Dhabi University, Zayed University, and MIT.
  • FAIRWORK — analysis of platform work and digital labor in partnership with WZB Berlin and the University of Oxford.
  • RITS (Resilient Infrastructure Technology Suite) — developing digital twin–based AI systems for decentralized energy, water, and food networks in Brandenburg.
  • QAVCM — AI-assisted analytics for real-time evaluation of voluntary carbon market (VCM) certificates.

In his free time, he explores algorithmic trading, blockchain and Web 3.0, LLM fine-tuning for cybersecurity/SIEM applications, and green IoT systems.

Coordinated Study Programs

Deep Learning (ML II)

Deep Learning (ML II)

MICRO-DEGREE

The course introduces building neural networks, reinforcement learning, probabilistic graphical models, and recursive networks, giving students a strong foundation in both current and alternative AI approaches.

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Applications of AI

Applications of AI

MICRO-DEGREE

This course offers students practical, hands-on experience by guiding them through the complete AI solution development pipeline—from data collection to deploying models in the cloud.

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Big Data, Software Systems, Cloud Computing

Big Data, Software Systems, Cloud Computing

MICRO-DEGREE

In this module, students learn about the basics and advanced topics of big data and cloud computing technologies, platforms and systems, their design and implementation, and their utilization in industrial and commercial applications.

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Quick Info

Position:

Senior Lecturer

Role:

Teaching Subject: Applied Data Science

Teaching Subject:

Applied Data Science

Research Groups

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