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

Most advanced AI applications being developed and deployed today rely on one or more "deep learning" models. In this course, students will learn to construct deep neural networks, with or without attentional components.

View Program
Applications of AI

Applications of AI

MICRO-DEGREE

This course provides the students with hands on experience solving a complex, yet limited problem in its scope. Instead of recognizing faces or fingerprints in an open population, the problem is solved for a limited population of individuals.

View Program
Big Data, Software Systems, Cloud Computing

Big Data, Software Systems, Cloud Computing

MICRO-DEGREE

Big data and cloud computing are leading edge IT technologies that team together as key enablers for today’s IT industry with its emerging AI-based solutions.

View Program

Quick Info

Position:

Senior Lecturer

Role:

Teaching Subject: Applied Data Science

Teaching Subject:

Applied Data Science

Additional Links