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Ali Kadhum IDREES received his Ph.D. in Computer Science from the University of Franche-Comté (UFC), France, in 2015, and his HDR (Habilitation à Diriger des Recherches) from Université Bourgogne-Franche-Comté (UBFC), France, in October 2023. The HDR diploma refers to the habilitation to conduct research, which is a recognition of the highest level of qualification in the French academic system. Ali has been a full professor of computer science at the University of Babylon, Iraq, since 2018. He is currently as Research Associate at Smart-Edge-Lab, University of Applied Science and Arts Dortmund. He works on EMULATE to develop concepts and solutions for measuring, analyzing and optimizing the performance of edge services in the European cloud-edge continuum. He has published over 80 research papers in international journals, conferences, and book chapters. His research interests include Internet of Things (IoT), Edge/Fog computing, Deep/Machine learning, Wireless Networks, WSNs, WBSNs, IoMTs, Tactile Internet, Distributed Computing, and Optimization in Communication Networks. He has actively served as a Technical Program Committee (TPC) member for various conferences, as well as a reviewer for several international journals and conferences. He has supervised seven Ph.D. and twelve Master’s students and participated in 20 Ph.D. and 19 Master’s thesis examination committees, either as chair or member.
Author Impact:
Google H-index: scholar.google.com/citations?user=IuF1c9YAAAAJ&hl=en&oi=ao
Scopus H-index: www.scopus.com/authid/detail.uri?authorId=56955448800
Publons H-index: publons.com/researcher/1386416/ali-kadhum-idrees/
ORCID ID: orcid.org/0000-0001-9773-0066
Mailing:
Smart Edge Lab,
Faculty of Computer Science,
University of Applied Science and Arts,
Dortmund,
Germany.
e-mail:
ali.idrees@fh-dortmund.de
Education:
Education:
University of Bourgogne Franche-Comté, Belfort, France.
Degree Name: HDR (Habilitation to Direct Research) in Computer Science
Date of Graduation: 24/10/ 2024.
Title of HDR Dissertation: Energy-efficient Machine Learning Approaches for IoT Data Transmission and Healthcare Monitoring Applications.
Field Of Study: Computer Science
University of Franche-Comte, France
Degree Name: Doctor of Philosophy (PhD)
Field Of Study: Computer Science (Wireless Networks)
Dates attended or expected graduation: 2012 – 2015
Title of PhD Dissertation: Distributed Coverage Optimization Techniques for Improving Lifetime of Wireless Sensor Networks.
University of Babylon, Iraq
Degree Name: Master of Science (MSc)
Field Of Study: Computer Networks
Title of master’s thesis: Neural Network for Adaptive Distributed Routing in Communication Networks.
University of Babylon, Iraq
Degree Name: Bachelor of Science (BSc)
Field Of Study: Computer Science
WORK EXPERIENCE
WORK EXPERIENCE
Research Associate
Company Name: University of Applied Science and Arts, Dortmund, Germany
Dates Employed: Oct. 2024 – Present
My responsibilities:
▪ Conduct research on Edge Computing, Federated Learning, and IoT for EMULATE project.
▪ Participation in developing methods and tools for measuring, analyzing and optimizing the performance of edge services in the European cloud-edge continuum.
▪ Supervising on Master students working on the EMULATE project.
▪ Work on the EMULATE project, focusing on QoS optimization, digital twins, and real-time analytics.
▪ Collaborate with industry partners and academic institutions on research challenges.
▪ Publish research findings in top-tier journals and conferences.
Professor (Full)
Company Name: University of Babylon
Dates Employed: June 2018 – 0ct. 2024
My responsibilities: teaching, research, and postgraduate supervision at the University of Babylon.
Assistant Professor
Company Name: University of Babylon
Dates Employed: November 2010– 2018
My responsibilities: teaching, research, and postgraduate supervision at the University of Babylon.
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