World's Best Scientists 2026 revealed!
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Computer Science
Finland
2025
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Electronics and Electrical Engineering
Finland
2023

D-Index & Metrics

Computer Science

D-Index
78
Citations
26738
World Ranking
1196
National Ranking
46

Electronics and Electrical Engineering

D-Index
78
Citations
26610
World Ranking
570
National Ranking
15

Research.com Recognitions

  • 2025 - Research.com Computer Science in Finland Leader Award
  • 2023 - Research.com Computer Science in Finland Leader Award
  • 2023 - Research.com Electronics and Electrical Engineering in Finland Leader Award
  • 2022 - Research.com Computer Science in Finland Leader Award
  • 2022 - Research.com Electronics and Electrical Engineering in Finland Leader Award

Overview

Tarik Taleb is affiliated with Ruhr University Bochum in Germany and has contributed extensively to the fields of Computer Science and Engineering, with a focus on subfields such as Computer Networks and Communications, Electrical and Electronic Engineering, Aerospace Engineering, Artificial Intelligence, and Information Systems. Their research output reflects a significant emphasis on network technologies, wireless communication, and emerging computational paradigms.

Their work spans various main topics including:

  • IoT and Edge/Fog Computing
  • Software-Defined Networks and 5G
  • Network Security and Intrusion Detection
  • UAV Applications and Optimization
  • Caching and Content Delivery
  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization

Tarik Taleb has published in numerous frequent venues, predominantly in IEEE journals and conferences, with the most prolific publication counts in:

  • IEEE Network
  • arXiv (Cornell University)
  • IEEE Internet of Things Journal
  • IEEE Transactions on Mobile Computing
  • IEEE Transactions on Network and Service Management

Some of the recent papers authored include:

  • "Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems" (2021) in IEEE Communications Surveys & Tutorials
  • "Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching" (2020) in IEEE Internet of Things Journal
  • "AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions" (2020) in IEEE Network
  • "A Machine Learning Security Framework for Iot Systems" (2020) in IEEE Access
  • "The Road beyond 5G: A Vision and Insight of the Key Technologies" (2020) in IEEE Network

Frequent collaborators include:

  • Chafika Benzaïd
  • Bin Yang
  • JaeSeung Song
  • Miloud Bagaa
  • Masoud Shokrnezhad

In addition to journal and conference publications, Tarik Taleb has contributed to book literature, including a publication titled 6G Mobile Wireless Networks in 2021 under the publisher Computer Communications and Networks.

Best Publications

  • On Multi-Access Edge Computing: A Survey of the Emerging 5G Network Edge Cloud Architecture and Orchestration

    Tarik Taleb;Konstantinos Samdanis;Badr Mada;Hannu Flinck

  • Cache in the air: exploiting content caching and delivery techniques for 5G systems

    Xiaofei Wang;Min Chen;Tarik Taleb;Adlen Ksentini

  • Network Slicing and Softwarization: A Survey on Principles, Enabling Technologies, and Solutions

    Ibrahim Afolabi;Tarik Taleb;Konstantinos Samdanis;Adlen Ksentini

  • Low-Altitude Unmanned Aerial Vehicles-Based Internet of Things Services: Comprehensive Survey and Future Perspectives

    Naser Hossein Motlagh;Tarik Taleb;Osama Arouk

  • Survey on Multi-Access Edge Computing for Internet of Things Realization

    Pawani Porambage;Jude Okwuibe;Madhusanka Liyanage;Mika Ylianttila

  • UAV-Based IoT Platform: A Crowd Surveillance Use Case

    Naser Hossein Motlagh;Miloud Bagaa;Tarik Taleb

  • Edge Computing for the Internet of Things: A Case Study

    Gopika Premsankar;Mario Di Francesco;Tarik Taleb

  • A Stable Routing Protocol to Support ITS Services in VANET Networks

    T. Taleb;E. Sakhaee;A. Jamalipour;K. Hashimoto

  • Machine-type communications: current status and future perspectives toward 5G systems

    Hamidreza Shariatmadari;Rapeepat Ratasuk;Sassan Iraji;Andrés Laya

  • Machine type communications in 3GPP networks: potential, challenges, and solutions

    T. Taleb;A. Kunz

  • Federated Machine Learning: Survey, Multi-Level Classification, Desirable Criteria and Future Directions in Communication and Networking Systems

    Omar Abdel Wahab;Azzam Mourad;Hadi Otrok;Tarik Taleb

  • Mobile Edge Computing Potential in Making Cities Smarter

    Tarik Taleb;Sunny Dutta;Adlen Ksentini;Muddesar Iqbal

  • Survey on Multi-Access Edge Computing for Internet of Things Realization

    Pawani Porambage;Jude Okwuibe;Madhusanka Liyanage;Mika Ylianttila

  • A Survey on Emerging SDN and NFV Security Mechanisms for IoT Systems

    Ivan Farris;Tarik Taleb;Yacine Khettab;Jaeseung Song

  • Federated Deep Reinforcement Learning for Internet of Things With Decentralized Cooperative Edge Caching

    Xiaofei Wang;Chenyang Wang;Xiuhua Li;Victor C. M. Leung

  • Dynamic Clustering-Based Adaptive Mobile Gateway Management in Integrated VANET — 3G Heterogeneous Wireless Networks

    A Benslimane;T Taleb;R Sivaraj

  • Forward error correction strategies for media streaming over wireless networks

    A. Nafaa;T. Taleb;L. Murphy

  • Service Function Chaining in Next Generation Networks: State of the Art and Research Challenges

    Ahmed M. Medhat;Tarik Taleb;Asma Elmangoush;Giuseppe A. Carella

  • Follow me cloud: interworking federated clouds and distributed mobile networks

    Tarik Taleb;Adlen Ksentini

  • AI-Driven Zero Touch Network and Service Management in 5G and Beyond: Challenges and Research Directions

    Chafika Benzaid;Tarik Taleb

  • A Survey on the Placement of Virtual Resources and Virtual Network Functions

    Abdelquoddouss Laghrissi;Tarik Taleb

  • Follow-Me Cloud: When Cloud Services Follow Mobile Users

    Tarik Taleb;Adlen Ksentini;Pantelis A. Frangoudis

  • MACHINE-TYPE COMMUNICATIONS: CURRENT STATUS AND FUTURE PERSPECTIVES TOWARD 5G SYSTEMS The authors provide a clear mapping between the main MTC service requirements and their associated challenges. Their goal is to develop a comprehensive understanding of these challenges and the potential solutions. This study presents, in part, a roadmap from the current cellular technologies toward fully MTC-capable 5G mobile systems.

    Hamidreza Shariatmadari;Rapeepat Ratasuk;Sassan Iraji;Andrés Laya

Frequent Co-Authors

Miloud Bagaa
Miloud Bagaa Université du Québec à Trois-Rivières
Nei Kato
Nei Kato Tohoku University
Abbas Jamalipour
Abbas Jamalipour University of Sydney
Stefan Schmid
Stefan Schmid Technical University of Berlin
Nidal Nasser
Nidal Nasser Alfaisal University
Min Chen
Min Chen South China University of Technology
Abdelhakim Hafid
Abdelhakim Hafid University of Montreal
Zubair Md. Fadlullah
Zubair Md. Fadlullah Lakehead University
Xiaohong Jiang
Xiaohong Jiang Future University Hakodate

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