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Zubair Md. Fadlullah

Zubair Md. Fadlullah

D-Index & Metrics

Computer Science

D-Index
48
Citations
11393
World Ranking
6103
National Ranking
238

Electronics and Electrical Engineering

D-Index
47
Citations
11100
World Ranking
3166
National Ranking
145

Overview

Zubair Md. Fadlullah is affiliated with Lakehead University in Canada. Their research spans the fields of engineering and computer science, with a focus on electrical and electronic engineering, computer networks and communications, artificial intelligence, aerospace engineering, and computer vision and pattern recognition.

The scientist's work encompasses several specific topics, including:

  • Advanced MIMO Systems Optimization
  • Advanced Wireless Communication Technologies
  • UAV Applications and Optimization
  • Cooperative Communication and Network Coding
  • IoT and Edge/Fog Computing
  • Smart Grid Security and Resilience
  • Satellite Communication Systems

Frequent publication venues for their research include:

  • IEEE Access
  • IEEE Internet of Things Journal
  • IEEE Network
  • IEEE Transactions on Vehicular Technology
  • ICC 2022 - IEEE International Conference on Communications

Notable recent papers authored or co-authored by Zubair Md. Fadlullah include:

  • DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach (2020), published in IEEE Access
  • HCP: Heterogeneous Computing Platform for Federated Learning Based Collaborative Content Caching Towards 6G Networks (2020), published in IEEE Transactions on Emerging Topics in Computing
  • Balancing QoS and Security in the Edge: Existing Practices, Challenges, and 6G Opportunities With Machine Learning (2022), published in IEEE Communications Surveys & Tutorials
  • On Smart IoT Remote Sensing over Integrated Terrestrial-Aerial-Space Networks: An Asynchronous Federated Learning Approach (2021), published in IEEE Network
  • A Survey on Semantic Communications for Intelligent Wireless Networks (2022), published in Wireless Personal Communications

The scientist has collaborated frequently with:

  • Mostafa M. Fouda
  • Sadman Sakib
  • Nidal Nasser
  • Nei Kato
  • Mohamed I. Ibrahem

In addition to journal and conference publications, Zubair Md. Fadlullah has contributed to academic books published by Springer International Publishing and the Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering. Titles include Combating Security Challenges in the Age of Big Data (2020) and Cognitive Radio Oriented Wireless Networks and Wireless Internet (2022).

Best Publications

  • Space-Air-Ground Integrated Network: A Survey

    Jiajia Liu;Yongpeng Shi;Zubair Md. Fadlullah;Nei Kato

  • State-of-the-Art Deep Learning: Evolving Machine Intelligence Toward Tomorrow’s Intelligent Network Traffic Control Systems

    Zubair Md. Fadlullah;Fengxiao Tang;Bomin Mao;Nei Kato

  • Toward intelligent machine-to-machine communications in smart grid

    Z M Fadlullah;M M Fouda;N Kato;A Takeuchi

  • A Lightweight Message Authentication Scheme for Smart Grid Communications

    M. M. Fouda;Z. M. Fadlullah;N. Kato;Rongxing Lu

  • The Deep Learning Vision for Heterogeneous Network Traffic Control: Proposal, Challenges, and Future Perspective

    Nei Kato;Zubair Md. Fadlullah;Bomin Mao;Fengxiao Tang

  • A Survey on Network Methodologies for Real-Time Analytics of Massive IoT Data and Open Research Issues

    Shikhar Verma;Yuichi Kawamoto;Zubair Md. Fadlullah;Hiroki Nishiyama

  • Routing or Computing? The Paradigm Shift Towards Intelligent Computer Network Packet Transmission Based on Deep Learning

    Bomin Mao;Zubair Md. Fadlullah;Fengxiao Tang;Nei Kato

  • Optimizing Space-Air-Ground Integrated Networks by Artificial Intelligence

    Nei Kato;Zubair Md. Fadlullah;Fengxiao Tang;Bomin Mao

  • AC-POCA: Anticoordination Game Based Partially Overlapping Channels Assignment in Combined UAV and D2D-Based Networks

    Fengxiao Tang;Zubair Md. Fadlullah;Nei Kato;Fumie Ono

  • On Removing Routing Protocol from Future Wireless Networks: A Real-time Deep Learning Approach for Intelligent Traffic Control

    Fengxiao Tang;Bomin Mao;Zubair Md. Fadlullah;Nei Kato

  • An Intelligent Traffic Load Prediction-Based Adaptive Channel Assignment Algorithm in SDN-IoT: A Deep Learning Approach

    Fengxiao Tang;Zubair Md. Fadlullah;Bomin Mao;Nei Kato

  • GTES: An Optimized Game-Theoretic Demand-Side Management Scheme for Smart Grid

    Zubair Md. Fadlullah;Duong Minh Quan;Nei Kato;Ivan Stojmenovic

  • A dynamic trajectory control algorithm for improving the communication throughput and delay in UAV-aided networks

    Zubair Md. Fadlullah;Daisuke Takaishi;Hiroki Nishiyama;Nei Kato

  • On the Partially Overlapped Channel Assignment on Wireless Mesh Network Backbone: A Game Theoretic Approach

    P. B. F. Duarte;Z. M. Fadlullah;A. V. Vasilakos;N. Kato

  • Disaster-resilient networking: a new vision based on movable and deployable resource units

    T. Sakano;Z. M. Fadlullah;Thuan Ngo;H. Nishiyama

  • DTRAB: combating against attacks on encrypted protocols through traffic-feature analysis

    Zubair M. Fadlullah;Tarik Taleb;Athanasios V. Vasilakos;Mohsen Guizani

  • An early warning system against malicious activities for smart grid communications

    Z. M. Fadlullah;M. M. Fouda;N. Kato;Xuemin Shen

  • A Deep-Learning-Based Radio Resource Assignment Technique for 5G Ultra Dense Networks

    Yibo Zhou;Zubair Md. Fadlullah;Bomin Mao;Nei Kato

  • DL-CRC: Deep Learning-Based Chest Radiograph Classification for COVID-19 Detection: A Novel Approach

    Sadman Sakib;Tahrat Tazrin;Mostafa M. Fouda;Zubair Md. Fadlullah

  • HCP: Heterogeneous Computing Platform for Federated Learning Based Collaborative Content Caching Towards 6G Networks

    Zubair Md. Fadlullah;Nei Kato

  • GT-CFS: A Game Theoretic Coalition Formulation Strategy for Reducing Power Loss in Micro Grids

    Chao Wei;Zubair Md. Fadlullah;Nei Kato;Akira Takeuchi

Frequent Co-Authors

Nei Kato
Nei Kato Tohoku University
Hiroki Nishiyama
Hiroki Nishiyama Tohoku University
Jiajia Liu
Jiajia Liu Northwestern Polytechnical University
Nidal Nasser
Nidal Nasser Alfaisal University
Tarik Taleb
Tarik Taleb Ruhr University Bochum
Xuemin Shen
Xuemin Shen University of Waterloo
Athanasios V. Vasilakos
Athanasios V. Vasilakos University of Agder
Ivan Stojmenovic
Ivan Stojmenovic University of Ottawa
Nirwan Ansari
Nirwan Ansari New Jersey Institute of Technology
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence

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