World's Best Scientists 2026 revealed!
Mohammad Mehedi Hassan

Mohammad Mehedi Hassan

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Computer Science
Saudi Arabia
2026

D-Index & Metrics

Computer Science

D-Index
72
Citations
17933
World Ranking
1701
National Ranking
10

Research.com Recognitions

  • 2026 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2025 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2022 - Research.com Computer Science in Saudi Arabia Leader Award

Overview

Mohammad Mehedi Hassan is affiliated with King Saud University in Saudi Arabia. Their research primarily spans the fields of Computer Science and Engineering, with a particular focus on several subfields and topics related to information technology and network systems.

The main fields of study in their work include:

  • Computer Science
  • Engineering

The subfields that they have contributed to extensively are:

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

Their research covers various specific topics, notably:

  • IoT and Edge/Fog Computing
  • Blockchain Technology Applications and Security
  • Network Security and Intrusion Detection
  • UAV Applications and Optimization
  • Privacy-Preserving Technologies in Data
  • Anomaly Detection Techniques and Applications
  • Advanced Neural Network Applications

Some of Mohammad Mehedi Hassan's recent publications include:

  • "Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA" (2020) in IEEE Access
  • "Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles" (2022) in IEEE Transactions on Intelligent Transportation Systems
  • "Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques" (2020) in International Journal of Environmental Research and Public Health
  • "A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network" (2022) in Journal of Parallel and Distributed Computing
  • "Graph Neural Network-Driven Traffic Forecasting for the Connected Internet of Vehicles" (2021) in IEEE Transactions on Network Science and Engineering

The frequent co-authors they have collaborated with include:

  • Sahil Garg
  • Giancarlo Fortino
  • Md. Rafiul Hassan
  • Georges Kaddoum
  • Md. Golam Rabiul Alam

Mohammad Mehedi Hassan's work has been published multiple times in the following venues:

  • IEEE Access
  • IEEE Transactions on Intelligent Transportation Systems
  • Alexandria Engineering Journal
  • Future Generation Computer Systems
  • IEEE Internet of Things Journal

Best Publications

  • Health-CPS: Healthcare Cyber-Physical System Assisted by Cloud and Big Data

    Yin Zhang;Meikang Qiu;Chun-Wei Tsai;Mohammad Mehedi Hassan

  • A Survey on Sensor-Cloud: Architecture, Applications, and Approaches

    Atif Alamri;Wasai Shadab Ansari;Mohammad Mehedi Hassan;M. Shamim Hossain

  • A Hybrid Feature Extraction Method With Regularized Extreme Learning Machine for Brain Tumor Classification

    Abdu Gumaei;Mohammad Mehedi Hassan;Rafiul Hassan;Abdulhameed Alelaiwi

  • A hybrid deep learning model for efficient intrusion detection in big data environment

    Mohammad Mehedi Hassan;Abdu Gumaei;Ahmed Alsanad;Majed A. AlRubaian

  • Edge YOLO: Real-Time Intelligent Object Detection System Based on Edge-Cloud Cooperation in Autonomous Vehicles

    Unknown

  • Federated Internet of Things and Cloud Computing Pervasive Patient Health Monitoring System

    Jemal H. Abawajy;Mohammad Mehedi Hassan

  • Task Offloading and Resource Allocation for Mobile Edge Computing by Deep Reinforcement Learning Based on SARSA

    Taha Alfakih;Mohammad Mehedi Hassan;Abdu Gumaei;Claudio Savaglio

  • Human emotion recognition using deep belief network architecture

    Mohammad Mehedi Hassan;Md. Golam Rabiul Alam;Md. Zia Uddin;Shamsul Huda

  • A framework of sensor-cloud integration opportunities and challenges

    Mohammad Mehedi Hassan;Biao Song;Eui-Nam Huh

  • Enhanced Fingerprinting and Trajectory Prediction for IoT Localization in Smart Buildings

    Kai Lin;Min Chen;Jing Deng;Mohammad Mehedi Hassan

  • Autonomic computation offloading in mobile edge for IoT applications

    Golam Rabiul Alam;Mohammad Mehedi Hassan;Md. ZIa Uddin;Ahmad Almogren

  • Secured Data Collection With Hardware-Based Ciphers for IoT-Based Healthcare

    Hai Tao;Zakirul Alam Bhuiyan;Ahmed N. Abdalla;Mohammad Mehedi Hassan

  • A distributed intrusion detection system to detect DDoS attacks in blockchain-enabled IoT network

    Unknown

  • AIWAC: affective interaction through wearable computing and cloud technology

    Min Chen;Yin Zhang;Yong Li;Mohammad Mehedi Hassan

  • A hybrid feature selection with ensemble classification for imbalanced healthcare data: A case study for brain tumor diagnosis

    Shamsul Huda;John Yearwood;Herbert F. Jelinek;Mohammad Mehedi Hassan

  • Secure Distributed Deduplication Systems with Improved Reliability

    Jin Li;Xiaofeng Chen;Xinyi Huang;Shaohua Tang

  • Efficient service recommendation system for cloud computing market

    Seung-Min Han;Mohammad Mehedi Hassan;Chang-Woo Yoon;Eui-Nam Huh

  • iRobot-Factory: An intelligent robot factory based on cognitive manufacturing and edge computing

    Long Hu;Yiming Miao;Gaoxiang Wu;Mohammad Mehedi Hassan

  • Cyberattacks Detection in IoT-Based Smart City Applications Using Machine Learning Techniques.

    Mamunur Rashid;Joarder Kamruzzaman;Mohammad Mehedi Hassan;Tasadduq Imam

  • A Performance Evaluation of Machine Learning-Based Streaming Spam Tweets Detection

    Chao Chen;Jun Zhang;Yi Xie;Yang Xiang

  • A Survey on Virtualization of Wireless Sensor Networks

    Md. Motaharul Islam;Mohammad Mehedi Hassan;Ga-Won Lee;Eui-Nam Huh

  • Facial Expression Recognition Utilizing Local Direction-Based Robust Features and Deep Belief Network

    Md. Zia Uddin;Mohammad Mehedi Hassan;Ahmad Almogren;Atif Alamri

  • A multimedia healthcare data sharing approach through cloud-based body area network

    Mohammad Mehedi Hassan;Kai Lin;Xuejun Yue;Jiafu Wan

  • A Hybrid Deep Learning Model for Human Activity Recognition Using Multimodal Body Sensing Data

    Abdu Gumaei;Mohammad Mehedi Hassan;Abdulhameed Alelaiwi;Hussain Alsalman

Frequent Co-Authors

Atif Alamri
Atif Alamri King Saud University
Giancarlo Fortino
Giancarlo Fortino University of Calabria
Abdulhameed Alelaiwi
Abdulhameed Alelaiwi King Saud University
Eui-Nam Huh
Eui-Nam Huh Kyung Hee University
Ahmad Almogren
Ahmad Almogren King Saud University
M. Shamim Hossain
M. Shamim Hossain King Saud University
Jemal H. Abawajy
Jemal H. Abawajy Deakin University
Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
Yang Xiang
Yang Xiang Swinburne University of Technology
Min Chen
Min Chen South China University of Technology

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