World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
63
Citations
14635
World Ranking
2774
National Ranking
162

Overview

Ali Kashif Bashir is affiliated with Manchester Metropolitan University in the United Kingdom. Their research focuses primarily on computer science and engineering, contributing extensively to areas related to networks, security, and emerging technologies.

The main fields of study for Ali Kashif Bashir include:

  • Computer Science
  • Engineering

Within these fields, their work spans several subfields:

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

The main topics covered in their publications include:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Privacy-Preserving Technologies in Data
  • Network Security and Intrusion Detection
  • Vehicular Ad Hoc Networks (VANETs)
  • Caching and Content Delivery
  • Anomaly Detection Techniques and Applications

Ali Kashif Bashir has contributed research to a variety of publication venues. The most frequent among these are:

  • IEEE Transactions on Consumer Electronics
  • IEEE Internet of Things Journal
  • IEEE Transactions on Intelligent Transportation Systems
  • IEEE Access
  • Computer Communications

Their recent papers illustrate a focus on public health applications, IoT security, and trust models for healthcare systems. These include:

  • COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm, 2020, Frontiers in Public Health
  • CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques, 2020, IEEE Internet of Things Journal
  • DITrust Chain: Towards Blockchain-Based Trust Models for Sustainable Healthcare IoT Systems, 2020, IEEE Access
  • IoT malicious traffic identification using wrapper-based feature selection mechanisms, 2020, Computers & Security
  • A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review, 2023, Sensors

Ali Kashif Bashir has collaborated frequently with several co-authors, including:

  • Jun Wu
  • Keping Yu
  • Yasser D. Al-Otaibi
  • Marwan Omar
  • Usman Tariq

Best Publications

  • CorrAUC: A Malicious Bot-IoT Traffic Detection Method in IoT Network Using Machine-Learning Techniques

    Muhammad Shafiq;Zhihong Tian;Ali Kashif Bashir;Xiaojiang Du

  • COVID-19 Patient Health Prediction Using Boosted Random Forest Algorithm

    Celestine Iwendi;Ali Kashif Bashir;Atharva Peshkar;R Sujatha

  • Investigating the Acceptance of Mobile Library Applications with an Extended Technology Acceptance Model (TAM)

    Hamaad Rafique;Alaa Omran Almagrabi;Azra Shamim;Fozia Anwar

  • DITrust Chain: Towards Blockchain-Based Trust Models for Sustainable Healthcare IoT Systems

    Eman M. Abou-Nassar;Abdullah M. Iliyasu;Passent M. El-Kafrawy;Oh-Young Song

  • A Critical Cybersecurity Analysis and Future Research Directions for the Internet of Things: A Comprehensive Review

    Unknown

  • Learning-Based Context-Aware Resource Allocation for Edge-Computing-Empowered Industrial IoT

    Haijun Liao;Zhenyu Zhou;Xiongwen Zhao;Lei Zhang

  • A metaheuristic optimization approach for energy efficiency in the IoT networks

    Celestine Iwendi;Praveen Kumar Reddy Maddikunta;Thippa Reddy Gadekallu;Kuruva Lakshmanna

  • IoT malicious traffic identification using wrapper-based feature selection mechanisms

    Muhammad Shafiq;Zhihong Tian;Ali Kashif Bashir;Xiaojiang Du

  • Securing Critical Infrastructures: Deep-Learning-Based Threat Detection in IIoT

    Keping Yu;Liang Tan;Shahid Mumtaz;Saba Al-Rubaye

  • A Survey on Resource Management in IoT Operating Systems

    Arslan Musaddiq;Yousaf Bin Zikria;Oliver Hahm;Heejung Yu

  • Realizing an Efficient IoMT-Assisted Patient Diet Recommendation System Through Machine Learning Model

    Celestine Iwendi;Suleman Khan;Joseph Henry Anajemba;Ali Kashif Bashir

  • Efficient and Secure Data Sharing for 5G Flying Drones: A Blockchain-Enabled Approach

    Chaosheng Feng;Keping Yu;Ali Kashif Bashir;Yasser D. Al-Otaibi

  • Data mining and machine learning methods for sustainable smart cities traffic classification: a survey

    Muhammad Shafiq;Zhihong Tian;Ali Kashif Bashir;Alireza Jolfaei

  • Energy-Efficient Random Access for LEO Satellite-Assisted 6G Internet of Remote Things

    Li Zhen;Ali Kashif Bashir;Keping Yu;Yasser D. Al-Otaibi

  • Millimeter-Wave Communication for Internet of Vehicles: Status, Challenges, and Perspectives

    Kayhan Zrar Ghafoor;Linghe Kong;Sherali Zeadally;Ali Safaa Sadiq

  • Energy-Aware Marine Predators Algorithm for Task Scheduling in IoT-Based Fog Computing Applications

    Mohamed Abdel-Basset;Reda Mohamed;Mohamed Elhoseny;Ali Kashif Bashir

  • Robust Spammer Detection Using Collaborative Neural Network in Internet-of-Things Applications

    Zhiwei Guo;Yu Shen;Ali Kashif Bashir;Muhammad Imran

  • Towards sFlow and adaptive polling sampling for deep learning based DDoS detection in SDN

    Raja Majid Ali Ujjan;Zeeshan Pervez;Keshav P. Dahal;Ali Kashif Bashir

  • Toward real-time and efficient cardiovascular monitoring for COVID-19 patients by 5G-enabled wearable medical devices: a deep learning approach.

    Liang Tan;Keping Yu;Ali Kashif Bashir;Xiaofan Cheng

  • Performance Analysis of FD-NOMA-Based Decentralized V2X Systems

    Di Zhang;Yuanwei Liu;Linglong Dai;Ali Kashif Bashir

  • DIDDOS: An approach for detection and identification of Distributed Denial of Service (DDoS) cyberattacks using Gated Recurrent Units (GRU)

    Saif ur Rehman;Mubashir Khaliq;Syed Ibrahim Imtiaz;Aamir Rasool

  • A review on classification of imbalanced data for wireless sensor networks

    Harshita Patel;Dharmendra Singh Rajput;G Thippa Reddy;Celestine Iwendi

  • Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

    Sayed Chhattan Shah;Myong Soon Park;Wan Sik Choi;Sajjad Hussain

Frequent Co-Authors

Shahid Mumtaz
Shahid Mumtaz Nottingham Trent University
Alireza Jolfaei
Alireza Jolfaei Flinders University
Yousaf Bin Zikria
Yousaf Bin Zikria Institute of International Studies (TIIS)
Jun Wu
Jun Wu Waseda University
Syed Hassan Ahmed
Syed Hassan Ahmed Georgia Southern University
Masayuki Murata
Masayuki Murata Osaka University
Mohsen Guizani
Mohsen Guizani Mohamed bin Zayed University of Artificial Intelligence
Bin Luo
Bin Luo Anhui University
Zhihong Tian
Zhihong Tian Guangzhou University
Sahil Garg
Sahil Garg Canadian University Dubai

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Expanding your education in computer science opens up numerous online learning opportunities and related career options. Many students choose to accelerate their studies with a computer science degree online, which provides flexibility and quicker degree completion for busy individuals.

If environmental concerns interest you, a background in computer science can pair well with environmentally-focused disciplines. For example, combining studies to pursue jobs with elementary education and environmental science degree allows you to contribute in both educational and scientific sectors.

Many students are also considering engineering paths. Those looking to manage costs may want to explore the mechanical engineering cost of education as well as programs designed for affordability. Similarly, online programs make it easier to access the environmental engineering degree from anywhere, often at a lower cost than traditional options.

With so many interdisciplinary and online degree options, students can customize their learning and career plans to fit their unique goals and interests.

Best Scientists Citing Ali Kashif Bashir

Trending Scientists