Farrukh Nadeem

About Farrukh Nadeem

Farrukh Nadeem, With an exceptional h-index of 18 and a recent h-index of 12 (since 2020), a distinguished researcher at King AbdulAziz University, specializes in the field of Data science, Machine Learning, Artificial Intelligence, Smart Healthcare, Cloud Computing.

His recent articles reflect a diverse array of research interests and contributions to the field:

A scalable and lightweight group authentication framework for Internet of Medical Things using integrated blockchain and fog computing

Adaptive Smart eHealth Framework for Personalized Asthma Attack Prediction and Safe Route Recommendation

Markov Models Applications in Natural Language Processing: A Survey

Machine Learning Models for Early Prediction of Asthma Attacks Based on Bio-signals and Environmental Triggers

Evaluating and Ranking Cloud IaaS, PaaS and SaaS Models Based on Functional and Non-Functional Key Performance Indicators

A Framework for Blockchain and Fogging-based Efficient Authentication in Internet of Things

Authentication in the Internet of Medical Things: Taxonomy, Review, and Open Issues

Predictive models for personalized asthma attacks based on patient’s biosignals and environmental factors: a systematic review

Farrukh Nadeem Information

University

Position

Associate Professor College of Computing and Information Technology

Citations(all)

1029

Citations(since 2020)

387

Cited By

761

hIndex(all)

18

hIndex(since 2020)

12

i10Index(all)

25

i10Index(since 2020)

16

Email

University Profile Page

Google Scholar

Farrukh Nadeem Skills & Research Interests

Data science

Machine Learning

Artificial Intelligence

Smart Healthcare

Cloud Computing

Top articles of Farrukh Nadeem

Title

Journal

Author(s)

Publication Date

A scalable and lightweight group authentication framework for Internet of Medical Things using integrated blockchain and fog computing

Future Generation Computer Systems

Norah Alsaeed

Farrukh Nadeem

Faisal Albalwy

2024/2/1

Adaptive Smart eHealth Framework for Personalized Asthma Attack Prediction and Safe Route Recommendation

Smart Cities

Eman Alharbi

Asma Cherif

Farrukh Nadeem

2023/10/20

Markov Models Applications in Natural Language Processing: A Survey

I.J. Information Technology and Computer Science

Talal Almutiri

Farrukh Nadeem

2022

Machine Learning Models for Early Prediction of Asthma Attacks Based on Bio-signals and Environmental Triggers

Eman Alharbi

Asma Cherif

Farrukh Nadeem

Tariq Mirza

2022/12/5

Evaluating and Ranking Cloud IaaS, PaaS and SaaS Models Based on Functional and Non-Functional Key Performance Indicators

IEEE Access

Farrukh Nadeem

2022/6/13

A Framework for Blockchain and Fogging-based Efficient Authentication in Internet of Things

Norah Alsaeed

Farrukh Nadeem

2022/1/25

Authentication in the Internet of Medical Things: Taxonomy, Review, and Open Issues

Norah Alsaeed

Farrukh Nadeem

2022/1

Predictive models for personalized asthma attacks based on patient’s biosignals and environmental factors: a systematic review

BMC Medical Informatics and Decision Making

Eman Alharbi

Farrukh Nadeem

Asma Cherif

2021/12/9

Machine Learning-Based Predictive Model for Surgical Site Infections: A Framework

Salha Al-Ahmari

Farrukh Nadeem

2021/3/27

Smart Healthcare Framework for Asthma Attack Prediction and Prevention

Eman Alharbi

Farrukh Nadeem

Asma Cherif

2021/3/27

Improving the Effectiveness of e-Learning Processes through Dynamic Programming: A Survey

International Journal of Advanced Computer Science and Applications(IJACSA)

Norah Alqahtani

Farrukh Nadeem

2021

A Review of Applications of Linear Programming to Optimize Agricultural Solutions

International Journal of Information Engineering and Electronic Business

Alanoud Alotaibi

Farrukh Nadeem

2021

A Unified Framework for User-Preferred Multi-Level Ranking of Cloud Computing Services Based on Usability and Quality of Service Evaluation

IEEE Access

Farrukh Nadeem

2020/9/29

See List of Professors in Farrukh Nadeem University(King AbdulAziz University)

Co-Authors

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