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Ali Kadhum IDREES. received his Ph.D. degree in computer science in 2015 from the University of Franche-Comte (UFC), France. He received his HDR (Habilitation à Diriger des Recherches) degree in October 2023 from the Université Bourgogne-Franche-Comté (UBFC), France. 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, data mining, deep learning, 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.
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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