World's Best Scientists 2026 revealed!

D-Index & Metrics

Electronics and Electrical Engineering

D-Index
32
Citations
6661
World Ranking
6202
National Ranking
4

Overview

Syed Ali Hassan is affiliated with the National University of Sciences and Technology in Pakistan. Their research spans multiple aspects of engineering and computer science, with a focus on wireless communication technologies and network optimization.

Their main fields of study include:

  • Engineering
  • Computer Science

Within these fields, Syed Ali Hassan has concentrated in subfields such as:

  • Electrical and Electronic Engineering
  • Computer Networks and Communications
  • Aerospace Engineering
  • Artificial Intelligence
  • Computer Vision and Pattern Recognition

The primary topics covered in their research are:

  • Advanced Wireless Communication Technologies
  • Advanced MIMO Systems Optimization
  • UAV Applications and Optimization
  • Satellite Communication Systems
  • IoT Networks and Protocols
  • IoT and Edge/Fog Computing
  • Energy Harvesting in Wireless Networks

Syed Ali Hassan has published extensively in a variety of venues, with frequent publications in:

  • arXiv (Cornell University)
  • IEEE Transactions on Vehicular Technology
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Internet of Things Journal
  • IEEE Internet of Things Magazine

Some of the recent research papers associated with Syed Ali Hassan include:

  • Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends (2021), IEEE Transactions on Industrial Informatics
  • Computation Offloading and Resource Allocation in MEC-Enabled Integrated Aerial-Terrestrial Vehicular Networks: A Reinforcement Learning Approach (2022), IEEE Transactions on Intelligent Transportation Systems
  • On Underwater Wireless Sensor Networks Routing Protocols: A Review (2020), IEEE Sensors Journal
  • Industrial digital twins at the nexus of NextG wireless networks and computational intelligence: A survey (2022), Journal of Network and Computer Applications
  • Reconfigurable Intelligent Surface-Assisted Backscatter Communication: A New Frontier for Enabling 6G IoT Networks (2022), IEEE Wireless Communications

Frequent collaborators in their research work include:

  • Haejoon Jung
  • Aamir Mahmood
  • Mikael Gidlund
  • Syed Asad Ullah
  • Shah Zeb

Best Publications

  • Machine Learning in IoT Security: Current Solutions and Future Challenges

    Fatima Hussain;Rasheed Hussain;Syed Ali Hassan;Ekram Hossain

  • Precision Agriculture Techniques and Practices: From Considerations to Applications.

    Uferah Shafi;Rafia Mumtaz;José García-Nieto;Syed Ali Hassan

  • 5G D2D Networks: Techniques, Challenges, and Future Prospects

    Rafay Iqbal Ansari;Chrysostomos Chrysostomou;Syed Ali Hassan;Mohsen Guizani

  • Machine Learning for Resource Management in Cellular and IoT Networks: Potentials, Current Solutions, and Open Challenges

    Fatima Hussain;Syed Ali Hassan;Rasheed Hussain;Ekram Hossain

  • Drone-Aided Communication as a Key Enabler for 5G and Resilient Public Safety Networks

    Syed Ahsan Raza Naqvi;Syed Ali Hassan;Haris Pervaiz;Qiang Ni

  • Scalability Analysis of a LoRa Network Under Imperfect Orthogonality

    Aamir Mahmood;Emiliano Sisinni;Lakshmikanth Guntupalli;Raul Rondon

  • Industrial IoT in 5G-and-Beyond Networks: Vision, Architecture, and Design Trends

    Aamir Mahmood;Luca Beltramelli;Sarder Fakhrul Abedin;Shah Zeb

  • On Underwater Wireless Sensor Networks Routing Protocols: A Review

    Hashim Khan;Syed Ali Hassan;Haejoon Jung

  • Industrial Digital Twins at the Nexus of NextG Wireless Networks and Computational Intelligence: A Survey.

    Shah Zeb;Aamir Mahmood;Syed Ali Hassan;Md. Jalil Piran

  • Joint Subcarrier and Power Allocation in the Energy-Harvesting-Aided D2D Communication

    Umber Saleem;Sobia Jangsher;Hassaan Khaliq Qureshi;Syed Ali Hassan

  • Reconfigurable Intelligent Surface-Assisted Backscatter Communication: A New Frontier for Enabling 6G IoT Networks

    Sarah Basharat;Syed Ali Hassan;Aamir Mahmood;Zhiguo Ding

  • Dynamic Mode Decomposition Based Epileptic Seizure Detection from Scalp EEG

    Muhammad Sohaib J. Solaija;Sajid Saleem;Khawar Khurshid;Syed Ali Hassan

  • A Quasi-Stationary Markov Chain Model of a Cooperative Multi-Hop Linear Network

    S. A. Hassan;M. A. Ingram

  • NOMA-Enabled Backscatter Communications: Toward Battery-Free IoT Networks

    Furqan Jameel;Shah Zeb;Wali Ullah Khan;Syed Ali Hassan

  • Multiobjective Optimization in 5G Hybrid Networks

    Muhammad Shahmeer Omar;Syed Ali Hassan;Haris Pervaiz;Qiang Ni

  • Exploring Multi-Hop LoRa for Green Smart Cities

    Muhammad Shehryar Aslam;Alishba Khan;Abeera Atif;Syed Ali Hassan

  • Intelligent Resource Allocation in LoRaWAN Using Machine Learning Techniques

    Unknown

  • RSSI Fingerprinting-Based Localization Using Machine Learning in LoRa Networks

    Mahnoor Anjum;Muhammad Abdullah Khan;Syed Ali Hassan;Aamir Mahmood

  • NOMA Enhanced Backscatter Communication for Green IoT Networks

    Shah Zeb;Qamar Abbas;Syed Ali Hassan;Aamir Mahmood

  • A Deep Learning Framework Using Passive WiFi Sensing for Respiration Monitoring

    Usman Mahmood Khan;Zain Kabir;Syed Ali Hassan;Syed Hassan Ahmed

  • Analysis of RSSI Fingerprinting in LoRa Networks

    Mahnoor Anjum;Muhammad Abdullah Khan;Syed Ali Hassan;Aamir Mahmood

  • Energy Efficiency and Hover Time Optimization in UAV-Based HetNets

    Sidra Tul Muntaha;Syed Ali Hassan;Haejoon Jung;M. Shamim Hossain

  • STBC-Aided Cooperative NOMA With Timing Offsets, Imperfect Successive Interference Cancellation, and Imperfect Channel State Information

    Muhammad Waseem Akhtar;Syed Ali Hassan;Sajid Saleem;Haejoon Jung

  • A Drone-Aided Blockchain-Based Smart Vehicular Network

    Muhammad Asaad Cheema;Muhammad Karam Shehzad;Hassaan Khaliq Qureshi;Syed Ali Hassan

  • Performance analysis of hybrid 5G cellular networks exploiting mmWave capabilities in suburban areas

    Muhammad Shahmeer Omar;Muhammad Ali Anjum;Syed Ali Hassan;Haris Pervaiz

  • Energy Efficient Resource Allocation in 5G Hybrid Heterogeneous Networks: A Game Theoretic Approach

    Hamnah Munir;Syed Ali Hassan;Haris Pervaiz;Qiang Ni

Frequent Co-Authors

Mikael Gidlund
Mikael Gidlund Mid Sweden University
Qiang Ni
Qiang Ni Lancaster University
Leila Musavian
Leila Musavian University of Essex
Shahid Mumtaz
Shahid Mumtaz Nottingham Trent University
Rahim Tafazolli
Rahim Tafazolli University of Surrey
Ekram Hossain
Ekram Hossain University of Manitoba
Geoffrey Ye Li
Geoffrey Ye Li Imperial College London
Octavia A. Dobre
Octavia A. Dobre Memorial University of Newfoundland
Lazhar Ben-Brahim
Lazhar Ben-Brahim Qatar University
Md. Jalil Piran
Md. Jalil Piran Sejong University

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