World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
39
Citations
6565
World Ranking
9757
National Ranking
13

Overview

Muhammad Sajjad is affiliated with Islamia College University in Pakistan and has contributed extensively to the fields of Computer Science and Engineering. Their research output comprises 86 publications in Computer Science and 42 in Engineering, reflecting a focused scholarly engagement in these broad areas.

The scientist's work prominently features in subfields such as Computer Vision and Pattern Recognition, Artificial Intelligence, Electrical and Electronic Engineering, Computer Networks and Communications, and Radiology, Nuclear Medicine and Imaging. This breadth highlights a multidisciplinary approach spanning both theoretical and applied aspects of technology.

Sajjad's research themes include anomaly detection techniques and applications, video surveillance and tracking methods, AI in cancer detection, COVID-19 diagnosis using AI, human pose and action recognition, emotion and mood recognition, and network security and intrusion detection. Their scholarly interests align with contemporary challenges in security, healthcare, and intelligent systems.

The most frequent publication venues for their work are:

  • IEEE Access
  • Mathematics
  • IEEE Internet of Things Journal
  • Computers in Biology and Medicine
  • Sensors

Frequent collaborators include:

  • Khan Muhammad
  • Amin Ullah
  • Faouzi Alaya Cheikh
  • Mohammad Hijji
  • Sung Wook Baik

Notable recent publications by Muhammad Sajjad feature:

  • A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting (2020), IEEE Access
  • Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM (2020), IEEE Access
  • CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks (2020), Multimedia Tools and Applications
  • Human action recognition using attention based LSTM network with dilated CNN features (2021), Future Generation Computer Systems
  • Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing (2021), IEEE Transactions on Image Processing

Best Publications

  • Multi-grade brain tumor classification using deep CNN with extensive data augmentation

    Muhammad Sajjad;Salman Khan;Khan Muhammad;Wanqing Wu

  • Action Recognition in Video Sequences using Deep Bi-Directional LSTM With CNN Features

    Amin Ullah;Jamil Ahmad;Khan Muhammad;Muhammad Sajjad

  • A Novel CNN-GRU-Based Hybrid Approach for Short-Term Residential Load Forecasting

    Muhammad Sajjad;Zulfiqar Ahmad Khan;Amin Ullah;Tanveer Hussain

  • Clustering-Based Speech Emotion Recognition by Incorporating Learned Features and Deep BiLSTM

    Mustaqeem;Muhammad Sajjad;Soonil Kwon

  • CNN features with bi-directional LSTM for real-time anomaly detection in surveillance networks

    Waseem Ullah;Amin Ullah;Ijaz Ul Haq;Khan Muhammad

  • Human action recognition using attention based LSTM network with dilated CNN features

    Khan Muhammad;Mustaqeem;Amin Ullah;Amin Ullah;Ali Shariq Imran

  • Raspberry Pi assisted face recognition framework for enhanced law-enforcement services in smart cities

    Muhammad Sajjad;Mansoor Nasir;Khan Muhammad;Siraj Khan

  • A novel magic LSB substitution method (M-LSB-SM) using multi-level encryption and achromatic component of an image

    Khan Muhammad;Muhammad Sajjad;Irfan Mehmood;Seungmin Rho

  • Light-DehazeNet: A Novel Lightweight CNN Architecture for Single Image Dehazing

    Hayat Ullah;Khan Muhammad;Muhammad Irfan;Saeed Anwar

  • Towards Smart Home Automation Using IoT-Enabled Edge-Computing Paradigm.

    Hikmat Yar;Ali Shariq Imran;Zulfiqar Ahmad Khan;Muhammad Sajjad;Muhammad Sajjad

  • CISSKA-LSB: color image steganography using stego key-directed adaptive LSB substitution method

    Khan Muhammad;Jamil Ahmad;Naeem Ur Rehman;Zahoor Jan

  • CNN-based anti-spoofing two-tier multi-factor authentication system

    Muhammad Sajjad;Salman Khan;Tanveer Hussain;Khan Muhammad

  • Leukocytes Classification and Segmentation in Microscopic Blood Smear: A Resource-Aware Healthcare Service in Smart Cities

    Muhammad Sajjad;Siraj Khan;Zahoor Jan;Khan Muhammad

  • Image steganography using uncorrelated color space and its application for security of visual contents in online social networks

    Khan Muhammad;Muhammad Sajjad;Irfan Mehmood;Seungmin Rho

  • A Review on Traditional Machine Learning and Deep Learning Models for WBCs Classification in Blood Smear Images

    Siraj Khan;Muhammad Sajjad;Tanveer Hussain;Amin Ullah

  • A Secure Method for Color Image Steganography using Gray-Level Modification and Multi-level Encryption

    Khan Muhammad;Jamil Ahmad;Haleem Farman;Zahoor Jan

  • Human Behavior Understanding in Big Multimedia Data Using CNN based Facial Expression Recognition

    Muhammad Sajjad;Sana Zahir;Amin Ullah;Zahid Akhtar

  • Raspberry Pi assisted facial expression recognition framework for smart security in law-enforcement services

    Muhammad Sajjad;Mansoor Nasir;Fath U Min Ullah;Khan Muhammad

  • Dual-Level Security based Cyclic18 Steganographic Method and its Application for Secure Transmission of Keyframes during Wireless Capsule Endoscopy

    Khan Muhammad;Muhammad Sajjad;Sung Wook Baik

  • Mobile-cloud assisted framework for selective encryption of medical images with steganography for resource-constrained devices

    Muhammad Sajjad;Khan Muhammad;Sung Wook Baik;Seungmin Rho

Frequent Co-Authors

Sung Wook Baik
Sung Wook Baik Sejong University
Khan Muhammad
Khan Muhammad Sungkyunkwan University
Irfan Mehmood
Irfan Mehmood University of Bradford
Seungmin Rho
Seungmin Rho Chung-Ang University
Victor Hugo C. de Albuquerque
Victor Hugo C. de Albuquerque Universidade Federal do Ceará
Arun Kumar Sangaiah
Arun Kumar Sangaiah National Yunlin University of Science and Technology
Mohamed Elhoseny
Mohamed Elhoseny University of Sharjah
Javier Del Ser
Javier Del Ser University of the Basque Country
Jaime Lloret
Jaime Lloret Universitat Politècnica de València
Weiping Ding
Weiping Ding Nantong University

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