Fazal Noor

@iu.edu.sa

Full Professor Faculty of computer and information systems
Islamic University of Madinah

Fazal Noor


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https://researchid.co/fazal_noor

EDUCATION

PhD McGill university Montreal Canada
MEng, Concordia university Montreal Canada
BEng Concordia university Montreal Canada
58

Scopus Publications

2689

Scholar Citations

20

Scholar h-index

31

Scholar i10-index

Scopus Publications

  • Performance of Deep Neural Networks in Recognition of Sign Language
    Salah K. Taha, Abdullah Alshanqiti, Fazal Noor, Waqas Nawaz, Toqeer Ali Syed
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2026
  • AI-Assisted Diagnosis of Neonatal Ear Anomalies Using ResNet50 CBAM and CNN Transformer Models
    Syed Mohsin Bokhari, Muhammad Shafi, Fazal Noor, Abdullah Alshinqiti, Saad Alqahtany, Tazar Hussain
    IEEE Access, 2026
    Early detection of congenital auricular deformity in infants is essential for early medical intervention, as late diagnosis would have long term psychosocial impacts and facial asymmetry. This study introduces two deep learning based architectures for the automated classification of auricular deformities: a hybrid Convolutional Neural Network Transformer (CNNT) and a new ResNet50 with a Convolutional Block Attention Module (ResNet50 CBAM). The novel ResNet50 CBAM architecture efficiently facilitates spatial and channel wise feature learning using attention mechanisms, allowing the model to focus on deformity specific regions while eliminating irrelevant background noise. Comprehensive experiments were conducted on BabyEar4k, an expert annotated, publicly released dataset containing 3,852 high resolution ear images across five clinically relevant classes of deformities. To substantiate the effectiveness of the proposed approach, a comparison was drawn with the current state-of-the-art scheme proposed by Liu Jie Ren et al., showing significant strides in classification performance. The ResNet50 CBAM model achieved a classification accuracy of 96.25%, an F1 score of 0.9576, and an AUC-ROC of 0.984, outperforming the CNNT model, which reached an accuracy of 93.97% and an F1 score of 0.9395, as well as the benchmark baseline F1 score of 0.832. These results highlight the robustness of the model and its generalization capability across classes of deformity. The proposed framework addresses some crucial shortcomings of previous works, including reliance on binary classification, insufficient subtype granularity, and inadequate preprocessing. Employing BM3D-based denoising and SMOTE-based class balancing enhances the quality and learning efficiency. In all, the methodology presents a straightforward, accurate, and scalable approach to AI-based neonatal ear deformity screening, offering substantial potential for wide integration into clinical decision-support systems to facilitate early intervention, decrease professional workload, and improve overall pediatric outcomes.
  • Exploring computationally efficient signcryption mechanisms for unmanned aerial vehicles (UAVs): a comparative review
    Muhammad Asghar Khan, Gordana Barb, Fazal Noor
    Iran Journal of Computer Science, 2025
    Abstract Unmanned aerial vehicles (UAVs), also known as drones, have become increasingly important in modern times due to their ability to perform a wide range of tasks in both civilian and military sectors. However, the resource-constrained nature of UAVs, along with the need for secure data transmission, poses considerable challenges for cryptographic implementations. To address these challenges, lightweight cryptographic solutions have been proposed over the last several years to meet the unique demands of UAV networks. One such solution is called signcryption, which combines encryption and digital signatures into a single step, offering the most suitable cryptographic solution for UAV security. This comparative review article analyzes the most up-to-date signcryption mechanisms, particularly those proposed for UAVs, by comparing their various cryptographic methods and identifying the most suitable one. With this article, we also aim to explore the key security requirements and challenges that a typical UAV usually experiences. The key findings are then presented, and potential research directions are identified.
  • Implementation and performance of post-quantum cryptography for resource constrained consumer electronics
    Muhammad Asghar Khan, Fazal Noor, Shumaila Javaid, Justyna Żywiołek
    Discover Internet of Things, 2025
    The proliferation of consumer electronics (CE), from smartphones to IoT-enabled smart devices, has significantly transformed our everyday lives, enhancing convenience and connectivity. However, these transformations to modern life have introduced security vulnerabilities, particularly as traditional cryptographic algorithms face mounting challenges from quantum computing technology. Post-quantum cryptography (PQC) has emerged as a promising solution for providing future-proof security for next-generation CE against the quantum computing threat. PQC algorithms are developed to resist cyberattacks from both classical and quantum computers, ensuring long-term security solutions. This article explores the integration of PQC into next-generation CE devices to ensure confidentiality, integrity, and user privacy. It highlights the vulnerabilities of classical cryptographic methods and underscores the need for transitioning to quantum-resistant solutions. Moreover, the practical implementation of PQC in resource-constrained CE devices is analyzed. Our evaluation shows that optimized PQC incurs negligible overhead on servers (5%), can be up to 12× slower on CE devices, and reduces communication overhead below conventional ECC (1 KB vs. 2.1 KB), while achieving hardware throughput thousands of times higher than RSA. By proactively exploring the opportunities and challenges associated with PQC, this research outlines future directions for implementing robust, scalable, and secure systems, thereby ensuring consumer trust in the evolving technological landscape.
  • Assessing ECG Interpretation Expertise in Medical Practitioners Through Eye Movement Data and Neuromorphic Models
    Syed Mohsin Bokhari, Muhammad Shafi, Fazal Noor, Sarmad Sohaib, Saad Alqahtany, Mark Donnelly
    IEEE Access, 2025
    This study introduces an innovative method for assessing ECG interpretation abilities in medical professionals via eye-tracking data. We examine eye movement patterns from five separate groups of cardiology practitioners utilizing a combination of neuromorphic computing models, including Spiking Neural Networks (SNN), Spiking Convolutional Neural Networks (SCNN), Recurrent Spiking Neural Networks (RSNN), and Spiking Convolutional Long Short-Term Memory (SCLSTM). Utilizing eye movement data, we analyze the skill levels of practitioners in diverse medical positions, including consultants, nurses, and technicians, during ECG evaluations. Our proposed work combines spiking neuron activations with convolutional and recurrent architectures to analyze spatial and temporal gaze patterns that reflect clinical expertise. The suggested SNN, SCNN, RSNN, and SCLSTM models attained accuracies of 84.35%, 93.04%, 94.68%, 99.76% respectively, exceeding standard machine learning approaches in both precision and recall for identifying expertise levels based on visual attention patterns. This paradigm has the potential to construct skill evaluation tools in medical education, specifically for ECG interpretation training, thereby addressing prevalent difficulties related to inconsistent ECG diagnosis methods.
  • Optimizing Federated Learning With Aggregation Strategies: A Comprehensive Survey
    Naeem Khan, Shibli Nisar, Muhammad Asghar Khan, Yasar Abbas Ur Rehman, Fazal Noor, et al.
    IEEE Open Journal of the Computer Society, 2025
    This article provides a comprehensive survey of aggregation strategies in federated learning (FL). This decentralized machine learning (ML) paradigm enables multiple clients to collaboratively train models without sharing their local datasets. Aggregation is a pivotal aspect of FL, as it integrates model updates from diverse clients into a unified global model while addressing critical challenges such as data heterogeneity, scalability, and privacy preservation. The study categorizes aggregation strategies into three primary approaches: data-centric, model-centric, and secure aggregation, each tailored to address distinct problems in FL systems. Data-centric strategies focus on addressing non-independent and identically distributed (non-IID) data across clients, ensuring that model updates account for imbalances in data distributions. Model-centric strategies optimize the aggregation of model parameters, emphasizing techniques such as weighted averaging and model distillation to improve model performance across clients with diverse data characteristics. Secure aggregation techniques aim to enhance privacy and robustness, protecting client data from potential adversarial threats through encryption-based methods like secure multi-party computation (SMPC) and Byzantine-resilient techniques. The analysis delves into the advantages and limitations of these aggregation strategies, particularly their role in tackling challenges like non-IID data, communication efficiency, and resistance to adversarial attacks. Furthermore, the article identifies existing research gaps in FL, including the need for more scalable and robust aggregation methods capable of reducing communication costs, enhancing privacy guarantees, and improving performance in highly heterogeneous environments. These insights provide a roadmap for future research aimed at advancing aggregation strategies in FL to improve model accuracy, security, and efficiency in real-world applications.
  • Security and Privacy Issues and Solutions for UAVs in B5G Networks: A Review
    Muhammad Asghar Khan, Neeraj Kumar, Saeed Hamood Alsamhi, Gordana Barb, Justyna Zywiołek, Insaf Ullah, Fazal Noor, Jawad Ali Shah, Abdullah M. Almuhaideb
    IEEE Transactions on Network and Service Management, 2025
    Unmanned aerial vehicles (UAVs) in beyond 5G (B5G) are crucial for revolutionizing various industries, including surveillance, agriculture, and logistics, by enabling high-speed data transfer, ultra-low latency communication, and ultra-reliable connectivity. However, integrating UAVs into B5G networks poses various security and privacy concerns. These risks encompass the possibility of unauthorized access, breaches of data, and cyber-physical attacks which jeopardize the integrity, confidentiality, and availability of UAV operations. Moreover, UAVs in B5G networks are also at high risk from the application of machine learning (ML)-based attacks by exploiting vulnerabilities in ML models, leading to adversarial manipulation, data poisoning and model evasion techniques, which can compromise the integrity of UAV operations, lead to navigation errors, and expose sensitive data collected by UAVs. Considering the aforementioned security and privacy concerns, this review article presents emerging security and privacy solutions for UAVs in B5G networks. Firstly, We introduce the essential background of integrating UAVs into B5G networks and discuss the advantages and security challenges which the emerging integrated network architecture have. Then, we proceed to analyze and examine the security and privacy landscape by including threats and requirements of UAVs in B5G networks. Based on these threats and requirements, solutions from physical layer security (PLS), blockchain (BC), federated learning (FL) and post-quantum cryptography (PQC) are discussed and explored in details. Moreover, potential future research directions are discussed in details as open research issues.
  • A Certificate-Based Ring Signcryption Scheme for Securing UAV-Enabled Private Edge Computing Systems
    Muhammad Asghar Khan, Insaf Ullah, Neeraj Kumar, Fatemeh Afghah, Gordana Barb, Fazal Noor, Saad Alqahtany
    IEEE Access, 2024
    The evolving paradigm of private edge computing seamlessly incorporates the more extensive functionalities of cloud computing with localized processing. This paradigm eliminates the requirement for unmanned aerial vehicles (UAVs) to transmit large volumes of data to a centralized cloud, thereby reducing response times. UAVs’ dynamic nature and dependency on unsecured and publicly accessible wireless channels make secure communication between a private edge cloud and a UAV difficult. Therefore, private edge computing-enabled UAV networks require additional security measures to protect the network and users’ data. This research article introduces a certificate-based ring signcryption scheme that mitigates security concerns by utilizing the concept of hyperelliptic curve cryptography (HECC). By combining digital signature and encryption into a single operation, the proposed method takes advantage of the most advantageous characteristic of HECC (the ability to use a short key, such as 80 bits) while maintaining the same level of security as RSA and ECC. The security properties of the proposed scheme are validated by implementing a formal security evaluation method known as the random oracle model (ROM), in addition to informal security analysis. Furthermore, the computation and communication costs of the proposed scheme are evaluated and compared to those of relevant existing schemes. The performance and security analysis demonstrate that the proposed scheme enhances efficiency and security.
  • An Efficient and Secure Certificateless Aggregate Signature Scheme for Vehicular Ad hoc Networks
    Asad Iqbal, Muhammad Zubair, Muhammad Asghar Khan, Insaf Ullah, Ghani Ur-Rehman, Alexey V. Shvetsov, Fazal Noor
    Future Internet, 2023
    Vehicular ad hoc networks (VANETs) have become an essential part of the intelligent transportation system because they provide secure communication among vehicles, enhance vehicle safety, and improve the driving experience. However, due to the openness and vulnerability of wireless networks, the participating vehicles in a VANET system are prone to a variety of cyberattacks. To secure the privacy of vehicles and assure the authenticity, integrity, and nonrepudiation of messages, numerous signature schemes have been employed in the literature on VANETs. The majority of these solutions, however, are either not fully secured or entail high computational costs. To address the above issues and to enable secure communication between the vehicle and the roadside unit (RSU), we propose a certificateless aggregate signature (CLAS) scheme based on hyperelliptic curve cryptography (HECC). This scheme enables participating vehicles to share their identities with trusted authorities via an open wireless channel without revealing their identities to unauthorized participants. Another advantage of this approach is its capacity to release the partial private key to participating devices via an open wireless channel while keeping its identity secret from any other third parties. A provable security analysis through the random oracle model (ROM), which relies on the hyperelliptic curve discrete logarithm problem, is performed, and we have proven that the proposed scheme is unforgeable against Type 1 (FGR1) and Type 2 (FGR2) forgers. The proposed scheme is compared with relevant schemes in terms of computational cost and communication overhead, and the results demonstrate that the proposed scheme is more efficient than the existing schemes in maintaining high-security levels.
  • A Novel Monopole Ultra-Wide-Band Multiple-Input Multiple-Output Antenna with Triple-Notched Characteristics for Enhanced Wireless Communication and Portable Systems
    Shahid Basir, Ubaid Ur Rahman Qureshi, Fazal Subhan, Muhammad Asghar Khan, Syed Agha Hassnain Mohsan, Yazeed Yasin Ghadi, Khmaies Ouahada, Habib Hamam, Fazal Noor
    Sensors, 2023
    This study introduces a monopole 4 × 4 Ultra-Wide-Band (UWB) Multiple-Input Multiple-Output (MIMO) antenna system with a novel structure and outstanding performance. The proposed design has triple-notched characteristics due to CSRR etching and a C-shaped curve. The notching occurs in 4.5 GHz, 5.5 GHz, and 8.8 GHz frequencies in the C-band, WLAN band, and satellite network, respectively. Complementary Split-Ring Resonators (CSRR) are etched at the feed line and ground plane, and a C-shaped curve is used to reduce interference between the ultra-wide band and narrowband. The mutual coupling of CSRR enables the MIMO architecture to achieve high isolation and polarisation diversity. With prototype dimensions of (60.4 × 60.4) mm2, the proposed antenna design is small. The simulated and measured results show good agreement, indicating the effectiveness of the UWB-MIMO antenna for wireless communication and portable systems.
  • A Conditional Privacy Preserving Heterogeneous Signcryption Scheme for Internet of Vehicles
    Insaf Ullah, Muhammad Asghar Khan, Neeraj Kumar, Ako Muhammad Abdullah, Abeer Abdulaziz AlSanad, Fazal Noor
    IEEE Transactions on Vehicular Technology, 2023
  • An Efficient and Conditional Privacy-Preserving Heterogeneous Signcryption Scheme for the Internet of Drones
    Muhammad Asghar Khan, Insaf Ullah, Ako Muhammad Abdullah, Syed Agha Hassnain Mohsan, Fazal Noor
    Sensors, 2023
  • Enabling Secure Communication in Wireless Body Area Networks with Heterogeneous Authentication Scheme
    Insaf Ullah, Muhammad Asghar Khan, Ako Muhammad Abdullah, Fazal Noor, Nisreen Innab, Chien-Ming Chen
    Sensors, 2023
  • Dataset of Large Gathering Images for Person Identification and Tracking
    Adnan Nadeem, Amir Mehmood, Kashif Rizwan, Muhammad Ashraf, Nauman Qadeer, Ali Alzahrani, Qammer H. Abbasi, Fazal Noor, Majed Alhaisoni, Nadeem Mahmood
    Computers Materials and Continua, 2023
  • A Conditional Privacy Preserving Generalized Ring Signcryption Scheme for Micro Aerial Vehicles
    Insaf Ullah, Muhammad Asghar Khan, Ako Muhammad Abdullah, Syed Agha Hassnain Mohsan, Fazal Noor, Fahad Algarni, Nisreen Innab
    Micromachines, 2022
  • A Privacy-Preserved Internet-of-Medical-Things Scheme for Eradication and Control of Dengue Using UAV
    Amir Ali, Shibli Nisar, Muhammad Asghar Khan, Syed Agha Hassnain Mohsan, Fazal Noor, Hala Mostafa, Mohamed Marey
    Micromachines, 2022
  • An Efficient Authentication Scheme Using Blockchain as a Certificate Authority for the Internet of Drones
    Sana Javed, Muhammad Asghar Khan, Ako Muhammad Abdullah, Amjad Alsirhani, Abdullah Alomari, Fazal Noor, Insaf Ullah
    Drones, 2022
  • Tracking Missing Person in Large Crowd Gathering Using Intelligent Video Surveillance
    Adnan Nadeem, Muhammad Ashraf, Nauman Qadeer, Kashif Rizwan, Amir Mehmood, Ali AlZahrani, Fazal Noor, Qammer H. Abbasi
    Sensors, 2022
  • Towards the Unmanned Aerial Vehicles (UAVs): A Comprehensive Review
    Syed Agha Hassnain Mohsan, Muhammad Asghar Khan, Fazal Noor, Insaf Ullah, Mohammed H. Alsharif
    Drones, 2022
  • Cost-Efficient Privacy-Preserving Authentication and Key Management Scheme for Internet of Vehicle Ecosystem
    Tahir Ali Shah, Fahad Algarni, Insaf Ullah, Ako Muhammad Abdullah, Fazal Noor, Muhammad Asghar Khan
    Complexity, 2022
  • A Malware Detection Scheme via Smart Memory Forensics for Windows Devices
    Muhammad Rashid Naeem, Mansoor Khan, Ako Muhammad Abdullah, Fazal Noor, Muhammad Ijaz Khan, Muhammad Asghar Khan, Insaf Ullah, Shah Room
    Mobile Information Systems, 2022
  • Certificate-Based Signcryption Scheme for Securing Wireless Communication in Industrial Internet of Things
    Insaf Ullah, Abdullah Alomari, Ako Muhammad Abdullah, Neeraj Kumar, Amjad Alsirhani, Fazal Noor, Saddam Hussain, Muhammad Asghar Khan
    IEEE Access, 2022
  • Crop Yield Maximization Using an IoT-Based Smart Decision
    Amna Ikram, Waqar Aslam, Roza Hikmat Hama Aziz, Fazal Noor, Ghulam Ali Mallah, Sunnia Ikram, Muhammad Saeed Ahmad, Ako Muhammad Abdullah, Insaf Ullah
    Journal of Sensors, 2022
  • A Smart City Application Design for Efficiently Tracking Missing Person in Large Gatherings in Madinah Using Emerging IoT Technologies
    Adnan Nadeem, Kashif Rizwan, Amir Mehmood, Nauman Qadeer, Fazal Noor, Ali AlZahrani
    Proceedings of the 2021 Mohammad Ali Jinnah University International Conference on Computing Majicc 2021, 2021
  • An Efficient and Secure Certificate-Based Access Control and Key Agreement Scheme for Flying Ad-Hoc Networks
    Muhammad Asghar Khan, Insaf Ullah, Neeraj Kumar, Omar Sami Oubbati, Ijaz Mansoor Qureshi, Fazal Noor, Fahim Ullah Khanzada
    IEEE Transactions on Vehicular Technology, 2021
  • An efficient medium access control mechanism for flying ad-hoc networks
    Muhammad Asghar Khan, Fazal Noor, Insaf Ullah, Sajjad ur Rehman, Shibli Nisar, Mohaira Ahmad
    Computer Systems Science and Engineering, 2021
  • Securing Wireless Body Area Network with Efficient Secure Channel Free and Anonymous Certificateless Signcryption
    Fazal Noor, Turki A. Kordy, Ahmad B. Alkhodre, Oussama Benrhouma, Adnan Nadeem, Ali Alzahrani
    Wireless Communications and Mobile Computing, 2021
  • A Dual-Mode Medium Access Control Mechanism for UAV-Enabled Intelligent Transportation System
    Muhammad Asghar Khan, Tanweer Ahmad Cheema, Insaf Ullah, Fazal Noor, Sajjad Ur Rehman, Ateeq Ur Rehman, Muhammad Adnan Aziz
    Mobile Information Systems, 2021
  • Offline Handwritten Signature Recognition using Convolutional Neural Network Approach
    Fazal Noor, Ahmed E. Mohamed, Falah A. S. Ahmed, Salah K. Taha
    Proceedings 2020 International Conference on Computing Networking Telecommunications and Engineering Sciences Applications Contesa 2020, 2020
  • A review on communications perspective of flying AD-HOC networks: Key enabling wireless technologies, applications, challenges and open research topics
    Fazal Noor, Muhammad Asghar Khan, Ali Al-Zahrani, Insaf Ullah, Kawther A. Al-Dhlan
    Drones, 2020
  • Neural nets distributed on microcontrollers using metaheuristic parallel optimization algorithm
    Fazal Noor, Hatem ElBoghdadi
    Annals of Emerging Technologies in Computing, 2020
  • Performance of parallel distributed bat algorithm using MPI on a PC cluster
    Fazal Noor, Abdulghani Ibrahim, Mohammed M. AlKhattab
    Annals of Emerging Technologies in Computing, 2020
  • Realizing an Efficient IoMT-Assisted Patient Diet Recommendation System Through Machine Learning Model
    Celestine Iwendi, Suleman Khan, Joseph Henry Anajemba, Ali Kashif Bashir, Fazal Noor
    IEEE Access, 2020
  • An efficient and provably secure certificateless blind signature scheme for flying ad-hoc network based on multi-access edge computing
    Muhammad Asghar Khan, Ijaz Mansoor Qureshi, Insaf Ullah, Suleman Khan, Fahimullah Khanzada, Fazal Noor
    Electronics Switzerland, 2020
  • An Online-Offline Certificateless Signature Scheme for Internet of Health Things
    Muhammad Asghar Khan, Sajjad Ur Rehman, M. Irfan Uddin, Shibli Nisar, Fazal Noor, Ali Alzahrani, Insaf Ullah
    Journal of Healthcare Engineering, 2020
  • An efficient and provably secure certificateless key-encapsulated signcryption scheme for flying Ad-hoc network
    Muhammad Asghar Khan, Insaf Ullah, Shibli Nisar, Fazal Noor, Ijaz Mansoor Qureshi, Fahim Ullah Khanzada, Noor Ul Amin
    IEEE Access, 2020
  • Multiaccess Edge Computing Empowered Flying Ad Hoc Networks with Secure Deployment Using Identity-Based Generalized Signcryption
    Muhammad Asghar Khan, Insaf Ullah, Shibli Nisar, Fazal Noor, Ijaz Mansoor Qureshi, Fahimullah Khanzada, Hizbullah Khattak, Muhammad Adnan Aziz
    Mobile Information Systems, 2020
  • Pattern recognition using a neural network on a microcontroller with I2C ultrasonic sensors
    Fazal Noor
    Annals of Emerging Technologies in Computing, 2019
  • Tracking, Recognizing, and Estimating Size of Objects Using Adaptive Technique
    Fazal Noor, Majed Alhaisoni
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2019
  • Building Energy Management System Based on Microcontrollers
    Fazal Noor, Atiqur Rahman, Yazed Alsaawy, Mohammed Husain
    Lecture Notes of the Institute for Computer Sciences Social Informatics and Telecommunications Engineering Lnicst, 2019
  • A Method to Detect Object's Width with Ultrasonic Sensor
    Fazal Noor, Mohammed Swaied, Moath AlMesned, Nasser AlMuzini
    Proceedings 2018 International Conference on Computing Electronics and Communications Engineering Iccece 2018, 2018
  • Distinguishing medical drugs from a large set of side effects using a distributed genetic algorithm on a PC cluster
    Fazal Noor, Majed Alhaisoni, Mashaan A. Alshammari, Ravi P. Ramachandran
    Proceedings IEEE International Symposium on Circuits and Systems, 2015
  • Distinguishing moving objects using kalman filter and phase correlation methods
    Fazal Noor, Majed Alhaisoni
    17th IEEE International Multi Topic Conference Collaborative and Sustainable Development of Technologies IEEE Inmic 2014 Proceedings, 2014
  • Fingerprint verification through cloud computing
    Fazal Noor, Majed Alhaisoni
    ACM International Conference Proceeding Series, 2013
  • Fingerprint verification using cloud services with message passing interface over PC clusters
    Ap2ps 2012 4th International Conference on Advances in P2p Systems, 2012
  • Performance of a peer to peer network using genetic algorithm on a PC cluster
    Fazal Noor, Majed Alhaisoni, Sultan Al-Harbi
    Proceedings of the 14th IEEE International Multitopic Conference 2011 Inmic 2011, 2011
  • An empirical study of MPI over PC clusters
    Ap2ps 2011 3rd International Conference on Advances in P2p Systems, 2011
  • Using MPI on PC cluster to compute eigenvalues of hermitian toeplitz matrices
    Fazal Noor, Syed Misbahuddin
    Lecture Notes in Computer Science Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics, 2010
  • Surface morphology of zinc oxide thin films deposited by TCVD
    H. A. Rafaie, F. W. M. Noor, S. Amizam, S. Abdullah, M. Rusop, Mohamad Rusop, Rihanum Yahaya Subban, Norlida Kamarulzaman, Wong Tin Wui
    Aip Conference Proceedings, 2010
  • Development of distance computing environment for parallel processing
    Syed Misbahuddin, Fazal Noor
    Applications of Modern High Performance Networks, 2009
  • Conductivity studies of phosphonated methylcellulose membrane
    F. W. M. Noor, T. I. T. Kudin, A. M. M. Ali, F. Latif, M. Z. A. Yahya
    Materials Research Innovations, 2009
  • Surface morphology study on effect of deposition temperature on nanostructured zinc oxide by chemical vapour deposition method
    Z. Khusaimi, N. A. Ghani, F. W. M. Noor, S. Amizam, H. A. Rafaie, M. H. Mamat, M. Z. Sahdan, N. Abdullah, S. Abdullah, M. Rusop
    Materials Research Innovations, 2009
  • Recursive and Iterative Algorithms for Computing Eigenvalues of Hermitian Toeplitz Matrices
    F. Noor, S.D. Morgera
    IEEE Transactions on Signal Processing, 1993
  • Construction of a Hermitian Toeplitz Matrix from an Arbitrary Set of Eigenvalues
    F. Noor, S.D. Morgera
    IEEE Transactions on Signal Processing, 1992
  • A Hermitian Toeplitz Matrix Is Unitarily Similar To A Real Toeplitz-Plus-Hankel Matrix
    D.M. Wilkes, S.D. Morgera, F. Noor, M.H. Hayes
    IEEE Transactions on Signal Processing, 1991
  • EIGENVALUE RECURSION FOR HERMITIAN TOEPLITZ MATRICES.
    ICASSP IEEE International Conference on Acoustics Speech and Signal Processing Proceedings, 1988
  • Performance of FH/QPR Signals Under Frequency Selective Fading and Partial Band Tone Jamming
    F. Noor, A.K. Elhakeem, T. Le Ngoc
    IEEE Transactions on Communications, 1988
  • ERROR PERFORMANCE OF THE FH/MSK SYSTEM UNDER FREQUENCY SELECTIVE FADING AND PARTIAL BAND TONE JAMMING.
    A.K. Elhakeem, F. Noor
    IEEE Vehicular Technology Conference, 1987

RECENT SCHOLAR PUBLICATIONS

  • AI Assisted Diagnosis of Neonatal Ear Deformities Using ResNet50 CBAM and CNN Transformer Models
    SM Bokhari, M Shafi, F Noor, A Alshinqiti, S Alqahtany, T Hussain
    IEEE Access , 2026
    2026
  • Implementation and performance of post-quantum cryptography for resource constrained consumer electronics
    MA Khan, F Noor, S Javaid, J Żywiołek
    Discover Internet of Things 5 (1), 139 , 2025
    2025
    Citations: 6
  • Exploring computationally efficient signcryption mechanisms for unmanned aerial vehicles (UAVs): a comparative review
    MA Khan, G Barb, F Noor
    Iran Journal of Computer Science, 1-19 , 2025
    2025
    Citations: 2
  • Optimizing federated learning with aggregation strategies: A comprehensive survey
    N Khan, S Nisar, MA Khan, YAU Rehman, F Noor, G Barb
    IEEE Open Journal of the Computer Society , 2025
    2025
    Citations: 19
  • in Recognition of Sign Language
    SK Taha, A Alshanqiti, F Noor, W Nawaz, TA Syed
    Emerging Technologies in Computing: 7th EAI International Conference, iCETiC … , 2025
    2025
  • Assessing ECG interpretation expertise in medical practitioners through eye movement data and neuromorphic models
    SM Bokhari, M Shafi, F Noor, S Sohaib, S Alqahtany, M Donnelly
    IEEE Access 13, 9430-9449 , 2025
    2025
    Citations: 6
  • Implementation of Deep Neural Nets on Microcontrollers for Speech Recognition
    F Noor, HM El-Boghdadi
    International Journal of Computer Science & Network Security, 65-74 , 2025
    2025
  • Security and privacy issues and solutions for UAVs in B5G networks: A review
    MA Khan, N Kumar, SH Alsamhi, G Barb, J Zywiołek, I Ullah, F Noor, ...
    IEEE Transactions on Network and Service Management 22 (1), 892-912 , 2024
    2024
    Citations: 52
  • Performance of Deep Neural Networks in Recognition of Sign Language
    SK Taha, A Alshanqiti, F Noor, W Nawaz, TA Syed
    International Conference for Emerging Technologies in Computing, 125-139 , 2024
    2024
    Citations: 1
  • A certificate-based ring signcryption scheme for securing UAV-enabled private edge computing systems
    MA Khan, I Ullah, N Kumar, F Afghah, G Barb, F Noor, S Alqahtany
    IEEE Access 12, 83466-83479 , 2024
    2024
    Citations: 9
  • An efficient and secure certificateless aggregate signature scheme for vehicular ad hoc networks
    A Iqbal, M Zubair, MA Khan, I Ullah, G Ur-Rehman, AV Shvetsov, F Noor
    Future Internet 15 (8), 266 , 2023
    2023
    Citations: 16
  • A novel monopole ultra-wide-band multiple-input multiple-output antenna with triple-notched characteristics for enhanced wireless communication and portable systems
    S Basir, UUR Qureshi, F Subhan, MA Khan, SAH Mohsan, YY Ghadi, ...
    Sensors 23 (15), 6985 , 2023
    2023
    Citations: 9
  • Enabling secure communication in wireless body area networks with heterogeneous authentication scheme
    I Ullah, MA Khan, AM Abdullah, F Noor, N Innab, CM Chen
    Sensors 23 (3), 1121 , 2023
    2023
    Citations: 23
  • An efficient and conditional privacy-preserving heterogeneous signcryption scheme for the Internet of drones
    MA Khan, I Ullah, AM Abdullah, SAH Mohsan, F Noor
    Sensors 23 (3), 1063 , 2023
    2023
    Citations: 13
  • Dataset of large gathering images for person identification and tracking
    A Nadeem, A Mehmood, K Rizwan, M Ashraf, N Qadeer, A Alzahrani, ...
    CMC Comput. Mater. Continua 74 (3), 6065-6080 , 2023
    2023
    Citations: 2
  • A conditional privacy preserving generalized ring signcryption scheme for micro aerial vehicles
    I Ullah, MA Khan, AM Abdullah, SAH Mohsan, F Noor, F Algarni, N Innab
    Micromachines 13 (11), 1926 , 2022
    2022
    Citations: 9
  • A conditional privacy preserving heterogeneous signcryption scheme for Internet of Vehicles
    I Ullah, MA Khan, N Kumar, AM Abdullah, AA AlSanad, F Noor
    IEEE Transactions on Vehicular Technology 72 (3), 3989-3998 , 2022
    2022
    Citations: 35
  • A privacy-preserved internet-of-medical-things scheme for eradication and control of dengue using UAV
    A Ali, S Nisar, MA Khan, SAH Mohsan, F Noor, H Mostafa, M Marey
    Micromachines 13 (10), 1702 , 2022
    2022
    Citations: 19
  • Certificate-based signcryption scheme for securing wireless communication in industrial Internet of Things
    I Ullah, A Alomari, AM Abdullah, N Kumar, A Alsirhani, F Noor, S Hussain, ...
    IEEE Access 10, 105182-105194 , 2022
    2022
    Citations: 19
  • A Malware Detection Scheme via Smart Memory Forensics for Windows Devices
    SR M R Naeem , M Khan , Ako MAbdullah , Fazal Noor , M I Khan, M Asghar Khan ...
    https://doi.org/10.1155/2022/9156514 , 2022
    2022

MOST CITED SCHOLAR PUBLICATIONS

  • Towards the unmanned aerial vehicles (UAVs): A comprehensive review
    SAH Mohsan, MA Khan, F Noor, I Ullah, MH Alsharif
    Drones 6 (6), 147 , 2022
    2022
    Citations: 1166
  • Realizing an efficient IoMT-assisted patient diet recommendation system through machine learning model
    C Iwendi, S Khan, JH Anajemba, AK Bashir, F Noor
    IEEE access 8, 28462-28474 , 2020
    2020
    Citations: 298
  • A review on communications perspective of flying ad-hoc networks: key enabling wireless technologies, applications, challenges and open research topics
    F Noor, MA Khan, A Al-Zahrani, I Ullah, KA Al-Dhlan
    Drones 4 (4), 65 , 2020
    2020
    Citations: 143
  • An efficient and provably secure certificateless key-encapsulated signcryption scheme for flying ad-hoc network
    MA Khan, I Ullah, S Nisar, F Noor, IM Qureshi, FU Khanzada, NU Amin
    IEEe Access 8, 36807-36828 , 2020
    2020
    Citations: 90
  • Crop Yield Maximization Using an IoT-Based Smart Decision
    A Ikram, W Aslam, RHH Aziz, F Noor
    Journal of Sensors 2022 (2022923), 15 , 2022
    2022
    Citations: 88
  • An efficient and secure certificate-based access control and key agreement scheme for flying ad-hoc networks
    MA Khan, I Ullah, N Kumar, OS Oubbati, IM Qureshi, F Noor, ...
    IEEE Transactions on Vehicular Technology 70 (5), 4839-4851 , 2021
    2021
    Citations: 87
  • An efficient authentication scheme using blockchain as a certificate authority for the internet of drones
    S Javed, MA Khan, AM Abdullah, A Alsirhani, A Alomari, F Noor, I Ullah
    Drones 6 (10), 264 , 2022
    2022
    Citations: 67
  • Multiaccess edge computing empowered flying ad hoc networks with secure deployment using identity‐based generalized signcryption
    MA Khan, I Ullah, S Nisar, F Noor, IM Qureshi, F Khanzada, H Khattak, ...
    Mobile Information Systems 2020 (1), 8861947 , 2020
    2020
    Citations: 61
  • An Efficient and Provably Secure Certificateless Blind Signature Scheme for Flying Ad-Hoc Network Based on Multi-Access Edge Computing
    M. A. Khan, I.M. Qureshi, I Ullah, S. Khan, F. Khanzada, Fazal Noor
    Electronics 2020, Network 9 (1), 30 , 2019
    2019
    Citations: 53
  • Security and privacy issues and solutions for UAVs in B5G networks: A review
    MA Khan, N Kumar, SH Alsamhi, G Barb, J Zywiołek, I Ullah, F Noor, ...
    IEEE Transactions on Network and Service Management 22 (1), 892-912 , 2024
    2024
    Citations: 52
  • Towards the unmanned aerial vehicles (UAVs): A comprehensive review. Drones, 6 (6), 147
    SAH Mohsan, MA Khan, F Noor, I Ullah, MH Alsharif
    2022
    Citations: 48
  • A conditional privacy preserving heterogeneous signcryption scheme for Internet of Vehicles
    I Ullah, MA Khan, N Kumar, AM Abdullah, AA AlSanad, F Noor
    IEEE Transactions on Vehicular Technology 72 (3), 3989-3998 , 2022
    2022
    Citations: 35
  • A Hermitian Toeplitz matrix is unitarily similar to a real Toeplitz-plus-Hankel matrix
    DM Wilkes, SD Morgera, F Noor, MH Hayes
    IEEE Transactions on signal processing 39 (9), 2146-2148 , 2002
    2002
    Citations: 31
  • March DSS: A new diagnostic march test for all memory simple static faults
    SM Al-Harbi, F Noor, FM Al-Turjman
    IEEE transactions on computer-aided design of integrated circuits and … , 2007
    2007
    Citations: 29
  • Recursive and iterative algorithms for computing eigenvalues of Hermitian Toeplitz matrices
    F Noor, SD Morgera
    IEEE transactions on signal processing 41 (3), 1272-1280 , 1993
    1993
    Citations: 29
  • Applications of modern high performance networks
    JA Zubairi
    Bentham Science Publishers , 2009
    2009
    Citations: 28
  • Securing wireless body area network with efficient secure channel free and anonymous certificateless signcryption
    F Noor, TA Kordy, AB Alkhodre, O Benrhouma, A Nadeem, A Alzahrani
    Wireless Communications and Mobile Computing 2021 (1), 5986469 , 2021
    2021
    Citations: 24
  • Enabling secure communication in wireless body area networks with heterogeneous authentication scheme
    I Ullah, MA Khan, AM Abdullah, F Noor, N Innab, CM Chen
    Sensors 23 (3), 1121 , 2023
    2023
    Citations: 23
  • Tracking missing person in large crowd gathering using intelligent video surveillance
    A Nadeem, M Ashraf, N Qadeer, K Rizwan, A Mehmood, A AlZahrani, ...
    Sensors 22 (14), 5270 , 2022
    2022
    Citations: 22
  • A malware detection scheme via smart memory forensics for windows devices
    MR Naeem, M Khan, AM Abdullah, F Noor, MI Khan, MA Khan, I Ullah, ...
    Mobile Information Systems 2022 (1), 9156514 , 2022
    2022
    Citations: 21

RESEARCH OUTPUTS (PATENTS, SOFTWARE, PUBLICATIONS, PRODUCTS)

Memory test patent