World's Best Scientists 2026 revealed!
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Computer Science
Pakistan
2026

D-Index & Metrics

Computer Science

D-Index
57
Citations
13117
World Ranking
3840
National Ranking
4

Research.com Recognitions

  • 2026 - Research.com Computer Science in Pakistan Leader Award
  • 2025 - Research.com Computer Science in Pakistan Leader Award
  • 2019 - ACM Senior Member

Overview

Junaid Qadir is affiliated with the Information Technology University in Pakistan and has made significant contributions to the field of computer science, with a focus on artificial intelligence and related subfields. Their research spans over 231 publications, covering a variety of topics and applications.

Their notable recent papers include the following:

  • Privacy-preserving artificial intelligence in healthcare: Techniques and applications (2023), published in Computers in Biology and Medicine
  • Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques (2021), published in Renewable and Sustainable Energy Reviews
  • Collaborative Federated Learning for Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge (2022), published in IEEE Open Journal of the Computer Society
  • Explainable, trustworthy, and ethical machine learning for healthcare: A survey (2022), published in Computers in Biology and Medicine
  • Leveraging Data Science to Combat COVID-19: A Comprehensive Review (2020), published in IEEE Transactions on Artificial Intelligence

In addition to journal articles, Qadir has authored a book titled Metaverse in Education: Opportunities and Challenges, published by Frontiers Media in 2024.

Their research interests extend across several subfields of computer science:

  • Artificial Intelligence
  • Information Systems
  • Signal Processing
  • Computer Networks and Communications
  • Radiology, Nuclear Medicine and Imaging

Key topics explored in their work include:

  • Adversarial Robustness in Machine Learning
  • Privacy-Preserving Technologies in Data
  • Ethics and Social Impacts of AI
  • Artificial Intelligence in Healthcare and Education
  • COVID-19 diagnosis using AI
  • Blockchain Technology Applications and Security
  • IoT and Edge/Fog Computing

Qadir has collaborated frequently with several researchers, including:

  • Ala Al-Fuqaha
  • Adnan Qayyum
  • Basheer Qolomany
  • Siddique Latif
  • Hassan Ali

Their work has been published repeatedly in certain venues known for their focus on computing and technology:

  • arXiv (Cornell University)
  • IEEE Open Journal of the Computer Society
  • Computers & Security
  • Computer Science Review
  • Scientific Reports

Junaid Qadir's professional recognitions include becoming an ACM Senior Member in 2019.

Best Publications

  • Big Data in the construction industry

    Muhammad Bilal;Lukumon O. Oyedele;Junaid Qadir;Kamran Munir

  • Secure and Robust Machine Learning for Healthcare: A Survey

    Adnan Qayyum;Junaid Qadir;Muhammad Bilal;Ala Al-Fuqaha

  • Community detection in networks: A multidisciplinary review

    Muhammad Aqib Javed;Muhammad Shahzad Younis;Siddique Latif;Siddique Latif;Junaid Qadir

  • Unsupervised Machine Learning for Networking: Techniques, Applications and Research Challenges

    Muhammad Usama;Junaid Qadir;Aunn Raza;Hunain Arif

  • Intelligent building control systems for thermal comfort and energy-efficiency: A systematic review of artificial intelligence-assisted techniques

    Ghezlane Halhoul Merabet;Ghezlane Halhoul Merabet;Mohamed Essaaidi;Mohamed Ben Haddou;Basheer Qolomany

  • Comparing Oversampling Techniques to Handle the Class Imbalance Problem: A Customer Churn Prediction Case Study

    Adnan Amin;Sajid Anwar;Awais Adnan;Muhammad Nawaz

  • Developing future human-centered smart cities: Critical analysis of smart city security, Data management, and Ethical challenges

    Unknown

  • Collaborative Federated Learning For Healthcare: Multi-Modal COVID-19 Diagnosis at the Edge

    Adnan Qayyum;Kashif Ahmad;Muhammad Ahtazaz Ahsan;Ala I. Al-Fuqaha

  • Machine Learning for Predicting Epileptic Seizures Using EEG Signals: A Review

    Khansa Rasheed;Adnan Qayyum;Junaid Qadir;Shobi Sivathamboo

  • Securing Connected & Autonomous Vehicles: Challenges Posed by Adversarial Machine Learning and the Way Forward

    Adnan Qayyum;Muhammad Usama;Junaid Qadir;Ala Al-Fuqaha

  • How 5G Wireless (and Concomitant Technologies) Will Revolutionize Healthcare

    Siddique Latif;Junaid Qadir;Shahzad Farooq;Muhammad Ali Imran

  • Leveraging Data Science to Combat COVID-19: A Comprehensive Review

    Siddique Latif;Muhammad Usman;Sanaullah Manzoor;Waleed Iqbal

  • A Survey on Reinforcement Learning Models and Algorithms for Traffic Signal Control

    Kok-Lim Alvin Yau;Junaid Qadir;Hooi Ling Khoo;Mee Hong Ling

  • Leveraging Machine Learning and Big Data for Smart Buildings: A Comprehensive Survey

    Basheer Qolomany;Ala I. Al-Fuqaha;Ajay Gupta;Driss Benhaddou

  • Big data architecture for Construction Waste Analytics (CWA): A conceptual framework

    Muhammad Bilal;Lukumon O. Oyedele;Olugbenga O. Akinade;Saheed O. Ajayi

  • Crisis analytics: big data-driven crisis response

    Junaid Qadir;Anwaar Ali;Raihan Ur Rasool;Andrej J. Zwitter

  • QoS in IEEE 802.11-based wireless networks: A contemporary review

    Aqsa Malik;Junaid Qadir;Basharat Ahmad;Kok-Lim Alvin Yau

  • Generative Adversarial Networks For Launching and Thwarting Adversarial Attacks on Network Intrusion Detection Systems

    Muhammad Usama;Muhammad Asim;Siddique Latif;Junaid Qadir

  • Towards Smart Port Infrastructures: Enhancing Port Activities Using Information and Communications Technology

    Kok-Lim Alvin Yau;Shuhong Peng;Junaid Qadir;Yeh-Ching Low

  • Big data for development: applications and techniques

    Anwaar Ali;Junaid Qadir;Raihan ur Rasool;Raihan ur Rasool;Arjuna Sathiaseelan

  • Mobile Health in the Developing World: Review of Literature and Lessons From a Case Study

    Siddique Latif;Rajib Rana;Junaid Qadir;Anwaar Ali

  • Phonocardiographic Sensing Using Deep Learning for Abnormal Heartbeat Detection

    Siddique Latif;Muhammad Usman;Rajib Rana;Junaid Qadir

  • Explainable, Trustworthy, and Ethical Machine Learning for Healthcare: A Survey

    Khansa Rasheed;Adnan Qayyum;Mohammed Ghaly;Ala Al-Fuqaha

  • Big Data For Development: Applications and Techniques

    Anwaar Ali;Junaid Qadir;Raihan ur Rasool;Arjuna Sathiaseelan

Frequent Co-Authors

Ala Al-Fuqaha
Ala Al-Fuqaha Western Michigan University
Kok-Lim Alvin Yau
Kok-Lim Alvin Yau Universiti Tunku Abdul Rahman
Jon Crowcroft
Jon Crowcroft University of Cambridge
Archan Misra
Archan Misra Singapore Management University
Chun Tung Chou
Chun Tung Chou University of New South Wales
Julien Epps
Julien Epps University of New South Wales
Qiang Ni
Qiang Ni Lancaster University
Amir Hussain
Amir Hussain Edinburgh Napier University
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Jinsong Wu
Jinsong Wu Wuhan University of Technology

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