Curriculum Vitae

Personal Information

Name: Dr.-Ing. Zeyd Boukhers

Primary Position: Lead of FAIR Data & Distributed Analytics Group

Primary Institution: Fraunhofer Institute for Applied Information Technology (FIT)

Secondary Position: Senior Researcher & Project Manager (20%)

Secondary Institution: Institute for Medical Informatics, University Hospital of Cologne

Website: zeyd.boukhers.com

ORCID: 0000-0001-9778-9164

Google Scholar: PlKALskAAAAJ

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Education

Dr.-Ing. (PhD) in Computer Science 2013 - 2017

University of Siegen, Germany

Magna Cum Laude in Machine Learning, Data Science and Computer Vision

Supervisor: Prof. Marcin Grzegorzek

Master of Science in Pattern Recognition and Artificial Intelligence 2008 - 2011

University of Science and Technology of Oran, Algeria

Bachelor of Science in Computer Science 2005 - 2008

University of Science and Technology of Oran, Algeria

Professional Experience

Lead of FAIR Data & Distributed Analytics Group August 2022 - Present

Fraunhofer Institute for Applied Information Technology (FIT), Germany

Leading a research group of 4-6 FTE

Senior Researcher & Project Manager January 2023 - Present

Institute for Medical Informatics, University Hospital of Cologne

Lead of Machine Learning & Data Science Focus Group October 2017 - December 2022

Institute for Web Science and Technology, University of Koblenz-Landau

Postdoc with independent research and teaching responsibilities

Research Assistant & PhD Candidate October 2013 - September 2017

Pattern Recognition Research Group, University of Siegen, Germany

DAAD scholarship recipient

Development Manager & Lecturer September 2010 - March 2013

IT&B, Oran, Algeria & University of Oran

Research Interests

Web-based Systems and Distributed Data Infrastructures
FAIR Data and Research Data Management
Semantic Web and Knowledge Graphs
Machine Learning and Artificial Intelligence
Natural Language Processing and Text Mining
Data Sovereignty and Data Spaces
Intelligent Web Services and APIs

Major Research Projects

NFDI4DS - NFDI for Data Science and Artificial Intelligence 2021-2025

Co-Spokesperson | Project Manager - DFG Funded

Germany's largest data science research infrastructure across 17 institutions

FAIR Data Spaces 2019-2024

Co-Coordinator | Project Manager - BMBF Funded

Building cloud-based data spaces linking Gaia-X and NFDI initiatives

ARGUS: Cultural Heritage Preservation 2023-2026

PI | Project Manager - EU Horizon Funded

AI-powered monitoring of remote cultural heritage sites

View all research projects →

Publications (58 Total Publications)

Books: 1

Journal Articles: 12 (10 Q1 journals)

Conference Proceedings: 45 (9 A/A*, 9 B-ranked conferences)

First Author Publications: 25 (43.10%)

Lead/Corresponding Author: 32 (55.17%)

Best Paper Awards: 2

Co-authors: 96+ researchers from 10+ countries

View complete publication list →

Teaching Experience (14 Years)

Teaching Portfolio

Courses Taught: 9 courses (up to 340 students)

Research Labs & Seminars: 5 specialized labs/seminars

Theses Supervised: 17 total (3 BSc, 11 MSc, 3 PhD ongoing)

Key Courses

Machine Learning and Data Mining, Big Data, Web Information Retrieval, Data Science, FAIR Health Data

Teaching Philosophy

Integration of advanced computational methods with practical applications, combining theoretical expertise with real-world challenges through collaborative learning and problem-based instruction.

View detailed teaching record →

Awards & Honors

Best Paper Award, TPDL 2022 (September 2022) - "Whois? Deep Author Name Disambiguation using Bibliographic Data" (First Author)
Best Paper Award, CORES 2015 (May 2015) - International Conference on Computer Recognition Systems (First Author)
DAAD Research Grant - Doctoral candidates and young academics scholarship program
Research Fellowship, Kobe University, Japan (January-March 2016) - CS24 group under supervision of Prof. Kuniaki Uehara

Professional Service

Editorial Activities: 2

Program Committee Memberships: 9

Journal Reviews: 11+ venues

View detailed service record →

Technical Skills

Programming Languages: Python, C++, PHP, Scala

ML/AI Frameworks: TensorFlow/Keras, PyTorch, scikit-learn, Hugging Face

Data Science Tools: Pandas, NumPy, OpenCV, PySpark, Hadoop

Web Technologies: Django, REST APIs, GraphQL

Databases: SQL, MongoDB, Neo4j, Elasticsearch

Cloud & DevOps: AWS, GCP, Docker, Git/CI/CD, Linux

Visualization: Matplotlib, Plotly, Jupyter

Language Skills

English: Excellent command / Highly proficient in spoken and written English

German: Good command / Good working knowledge

French: Near native / Fluent

Arabic: Native speaker

Professional Service Summary

Editorial Activities: 2 guest editorships (Electronics journal)

Program Committee: 9+ top-tier conferences (WSDM, AAAI, IJCAI, KDD, etc.)

Journal Reviewing: 11+ venues including IEEE Access, Neural Computing and Applications

Grant Review: Czech Science Foundation

Workshop Organization: 2 workshops (BiblioDAP'21 @ KDD, LLMs4MI @ FLLM2024)

Invited Talks: 6+ invited presentations including SAP, VisGap'25, Arab Science Symposium