Jawad Ahmad
jawad ahmad

Dr Jawad Ahmad

Lecturer

 0131 455 3237

  J.Ahmad@napier.ac.uk

  

Biography

Dr Jawad Ahmad (SMIEEE) is a highly experienced teacher with a decade of teaching and research experience in prestigious institutes. He has taught at renowned institutions such as Edinburgh Napier University (UK) and Glasgow Caledonian University (UK) etc. He has also served as a supervisor for several PhD, MSc, and undergraduate students, providing guidance and support for their dissertations. He has published in renowned journals including IEEE Transactions, ACM Transactions, Elsevier and Springer with over 150 research papers and 4500 citations. For the past three years, his name has appeared on the list of the world's top 2% scientists in Cybersecurity, as published by Clarivate (a list endorsed by Stanford University, USA). Furthermore, in 2020, he was recognized as a Global Talent in the area of Cybersecurity by the Royal Academy of Engineering (UK). To date, he has secured research and funding grants totalling £195K. In terms of academic achievements, he has earned a Gold medal for his outstanding performance in MSc and a Bronze medal for his achievements in BSc.

School

Research Groups

Esteem

Conference Organising Activity

  • Best Paper Award.
  • Track Chair (Cyber Security Track).
  • Session Chair (Artificial Intelligence and Data Science Track).
  • Best Paper Award.

 

Editorial Activity

  • Guest Editor.

 

Fellowships and Awards

  • Gold Medal Award
  • Bronze Medal Award

 

Reviewing

  • Outstanding Contributions in Reviewing Award

 

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Date


135 results

Machine Learning-Based Prediction of Node Localization Accuracy in IIoT-Based MI-UWSNs and Design of a TD Coil for Omnidirectional Communication

Journal Article
Gang, Q., Muhammad, A., Khan, Z. U., Khan, M. S., Ahmed, F., & Ahmad, J. (2022)
Machine Learning-Based Prediction of Node Localization Accuracy in IIoT-Based MI-UWSNs and Design of a TD Coil for Omnidirectional Communication. Sustainability, 14(15), Article 9683. https://doi.org/10.3390/su14159683
This study aims to realize Sustainable Development Goals (SDGs), i.e., SDG 9: Industry Innovation and Infrastructure and SDG 14: Life below Water, through the improvement of l...

DRaNN_PSO: A deep random neural network with particle swarm optimization for intrusion detection in the industrial internet of things

Journal Article
Ahmad, J., Shah, S. A., Latif, S., Ahmed, F., Zou, Z., & Pitropakis, N. (2022)
DRaNN_PSO: A deep random neural network with particle swarm optimization for intrusion detection in the industrial internet of things. Journal of King Saud University (Computer and Information Sciences), 34(10), 8112-8121. https://doi.org/10.1016/j.jksuci.2022.07.023
The Industrial Internet of Things (IIoT) is a rapidly emerging technology that increases the efficiency and productivity of industrial environments by integrating smart sensor...

A novel security and authentication method for infrared medical image with discrete time chaotic systems

Journal Article
Boyraz, O. F., Guleryuz, E., Akgul, A., Yildiz, M. Z., Kiran, H. E., & Ahmad, J. (2022)
A novel security and authentication method for infrared medical image with discrete time chaotic systems. Optik, 267, Article 169717. https://doi.org/10.1016/j.ijleo.2022.169717
Objective: Hand vein images have become important biometric signs used for identification systems. Also, dorsal hand vein images have noteworthy advantages in terms of reliabi...

Ensemble learning-based IDS for sensors telemetry data in IoT networks

Journal Article
Naz, N., Khan, M. A., Alsuhibany, S. A., Diyan, M., Tan, Z., Khan, M. A., & Ahmad, J. (2022)
Ensemble learning-based IDS for sensors telemetry data in IoT networks. Mathematical Biosciences and Engineering, 19(10), 10550-10580. https://doi.org/10.3934/mbe.2022493
The Internet of Things (IoT) is a paradigm that connects a range of physical smart devices to provide ubiquitous services to individuals and automate their daily tasks. IoT de...

A Deep Learning-Based Semantic Segmentation Architecture for Autonomous Driving Applications

Journal Article
Masood, S., Ahmed, F., Alsuhibany, S. A., Ghadi, Y. Y., Siyal, M. Y., Kumar, H., …Ahmad, J. (2022)
A Deep Learning-Based Semantic Segmentation Architecture for Autonomous Driving Applications. Wireless Communications and Mobile Computing, 2022, Article 8684138. https://doi.org/10.1155/2022/8684138
In recent years, the development of smart transportation has accelerated research on semantic segmentation as it is one of the most important problems in this area. A large re...

Modified SHARK Cipher and Duffing Map-Based Cryptosystem

Journal Article
Rabie, O., Ahmad, J., & Alghazzawi, D. (2022)
Modified SHARK Cipher and Duffing Map-Based Cryptosystem. Mathematics, 10(12), Article 2034. https://doi.org/10.3390/math10122034
Recent years have seen a lot of interest in the study of chaotic structures and their accompanying cryptography frameworks. In this research, we came up with a new way to encr...

A Secure and Lightweight Chaos Based Image Encryption Scheme

Journal Article
Ali Khan, F., Ahmed, J., Alqahtani, F., Alsuhibany, S. A., Ahmed, F., & Ahmad, J. (2022)
A Secure and Lightweight Chaos Based Image Encryption Scheme. Computers, Materials & Continua, 73(1), 279-294. https://doi.org/10.32604/cmc.2022.028789
In this paper, we present an image encryption scheme based on the multi-stage chaos-based image encryption algorithm. The method works on the principle of confusion and diffus...

A Highly Secured Image Encryption Scheme using Quantum Walk and Chaos

Journal Article
Kamran, M. I., Khan, M. A., Alsuhibany, S. A., Ghadi, Y. Y., Arshad, Arif, J., & Ahmad, J. (2022)
A Highly Secured Image Encryption Scheme using Quantum Walk and Chaos. Computers, Materials & Continua, 73(1), 657-672. https://doi.org/10.32604/cmc.2022.028876
The use of multimedia data sharing has drastically increased in the past few decades due to the revolutionary improvements in communication technologies such as the 4th genera...

A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering

Journal Article
Ullah, S., Ahmad, J., Khan, M. A., Alkhammash, E. H., Hadjouni, M., Ghadi, Y. Y., …Pitropakis, N. (2022)
A New Intrusion Detection System for the Internet of Things via Deep Convolutional Neural Network and Feature Engineering. Sensors, 22(10), Article 3607. https://doi.org/10.3390/s22103607
The Internet of Things (IoT) is a widely used technology in automated network systems across the world. The impact of the IoT on different industries has occurred in recent ye...

Cyber Threat Intelligence-Based Malicious URL Detection Model Using Ensemble Learning

Journal Article
Ghaleb, F. A., Alsaedi, M., Saeed, F., Ahmad, J., & Alasli, M. (2022)
Cyber Threat Intelligence-Based Malicious URL Detection Model Using Ensemble Learning. Sensors, 22(9), Article 3373. https://doi.org/10.3390/s22093373
Web applications have become ubiquitous for many business sectors due to their platform independence and low operation cost. Billions of users are visiting these applications ...

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